A genome-wide association study with 1,126,563 individuals identifies new risk loci for Alzheimer’s disease
Late-onset Alzheimer’s disease is a prevalent age-related polygenic disease that accounts for 50–70% of dementia cases. Currently, only a fraction of the genetic variants underlying Alzheimer’s disease have been identified. Here we show that increased sample sizes allowed identification of seven pre...
Gespeichert in:
| Veröffentlicht in: | Nature genetics Jg. 53; H. 9; S. 1276 - 1282 |
|---|---|
| Hauptverfasser: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
New York
Nature Publishing Group US
01.09.2021
Nature Publishing Group |
| Schlagworte: | |
| ISSN: | 1061-4036, 1546-1718, 1546-1718 |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| Abstract | Late-onset Alzheimer’s disease is a prevalent age-related polygenic disease that accounts for 50–70% of dementia cases. Currently, only a fraction of the genetic variants underlying Alzheimer’s disease have been identified. Here we show that increased sample sizes allowed identification of seven previously unidentified genetic loci contributing to Alzheimer’s disease. This study highlights microglia, immune cells and protein catabolism as relevant to late-onset Alzheimer’s disease, while identifying and prioritizing previously unidentified genes of potential interest. We anticipate that these results can be included in larger meta-analyses of Alzheimer’s disease to identify further genetic variants that contribute to Alzheimer’s pathology.
A genome-wide association study performed in 1,126,563 individuals identifies seven new loci associated with Alzheimer’s disease and implicates microglia and immune cells in late-onset disease. |
|---|---|
| AbstractList | Late-onset Alzheimer's disease is a prevalent age-related polygenic disease that accounts for 50-70% of dementia cases. Currently, only a fraction of the genetic variants underlying Alzheimer's disease have been identified. Here we show that increased sample sizes allowed identification of seven previously unidentified genetic loci contributing to Alzheimer's disease. This study highlights microglia, immune cells and protein catabolism as relevant to late-onset Alzheimer's disease, while identifying and prioritizing previously unidentified genes of potential interest. We anticipate that these results can be included in larger meta-analyses of Alzheimer's disease to identify further genetic variants that contribute to Alzheimer's pathology. Late-onset Alzheimer's disease is a prevalent age-related polygenic disease that accounts for 50-70% of dementia cases. Currently, only a fraction of the genetic variants underlying Alzheimer's disease have been identified. Here we show that increased sample sizes allowed identification of seven previously unidentified genetic loci contributing to Alzheimer's disease. This study highlights microglia, immune cells and protein catabolism as relevant to late-onset Alzheimer's disease, while identifying and prioritizing previously unidentified genes of potential interest. We anticipate that these results can be included in larger meta-analyses of Alzheimer's disease to identify further genetic variants that contribute to Alzheimer's pathology.Late-onset Alzheimer's disease is a prevalent age-related polygenic disease that accounts for 50-70% of dementia cases. Currently, only a fraction of the genetic variants underlying Alzheimer's disease have been identified. Here we show that increased sample sizes allowed identification of seven previously unidentified genetic loci contributing to Alzheimer's disease. This study highlights microglia, immune cells and protein catabolism as relevant to late-onset Alzheimer's disease, while identifying and prioritizing previously unidentified genes of potential interest. We anticipate that these results can be included in larger meta-analyses of Alzheimer's disease to identify further genetic variants that contribute to Alzheimer's pathology. Late-onset Alzheimer’s disease is a prevalent age-related polygenic disease that accounts for 50–70% of dementia cases. Currently, only a fraction of the genetic variants underlying Alzheimer’s disease have been identified. Here we show that increased sample sizes allowed identification of seven previously unidentified genetic loci contributing to Alzheimer’s disease. This study highlights microglia, immune cells and protein catabolism as relevant to late-onset Alzheimer’s disease, while identifying and prioritizing previously unidentified genes of potential interest. We anticipate that these results can be included in larger meta-analyses of Alzheimer’s disease to identify further genetic variants that contribute to Alzheimer’s pathology. A genome-wide association study performed in 1,126,563 individuals identifies seven new loci associated with Alzheimer’s disease and implicates microglia and immune cells in late-onset disease. Late-onset Alzheimer’s disease is a prevalent age-related polygenic disease that accounts for 50–70% of dementia cases. Currently, only a fraction of the genetic variants underlying Alzheimer’s disease have been identified. Here we show that increased sample sizes allowed for identification of seven previously unidentified genetic loci contributing to Alzheimer’s disease. This study highlights microglia, immune cells, and protein catabolism as relevant to late-onset Alzheimer’s disease, while identifying and prioritizing previously unidentified genes of potential interest. We anticipate that these results can be included in larger meta-analyses of Alzheimer’s disease to identify further genetic variants which contribute to Alzheimer’s pathology. A genome-wide association study performed in 1,126,563 individuals identifies seven new loci associated with Alzheimer's disease and implicates microglia and immune cells in late-onset disease. Late-onset Alzheimer's disease is a prevalent age-related polygenic disease that accounts for 50-70% of dementia cases. Currently, only a fraction of the genetic variants underlying Alzheimer's disease have been identified. Here we show that increased sample sizes allowed identification of seven previously unidentified genetic loci contributing to Alzheimer's disease. This study highlights microglia, immune cells and protein catabolism as relevant to late-onset Alzheimer's disease, while identifying and prioritizing previously unidentified genes of potential interest. We anticipate that these results can be included in larger meta-analyses of Alzheimer's disease to identify further genetic variants that contribute to Alzheimer's pathology. Late-onset Alzheimer's disease is a prevalent age-related polygenic disease that accounts for 50-70% of dementia cases. Currently, only a fraction of the genetic variants underlying Alzheimer's disease have been identified. Here we show that increased sample sizes allowed identification of seven previously unidentified genetic loci contributing to Alzheimer's disease. This study highlights microglia, immune cells and protein catabolism as relevant to late-onset Alzheimer's disease, while identifying and prioritizing previously unidentified genes of potential interest. We anticipate that these results can be included in larger meta-analyses of Alzheimer's disease to identify further genetic variants that contribute to Alzheimer's pathology. A genome-wide association study performed in 1,126,563 individuals identifies seven new loci associated with Alzheimer's disease and implicates microglia and immune cells in late-onset disease. |
| Audience | Academic |
| Author | Kern, Silke Skogholt, Anne Heidi Selbæk, Geir Bosnes, Ingunn Posthuma, Danielle Winsvold, Bendik S. Hveem, Kristian Proitsi, Petroula Davis, Lea K. Heilbron, Karl Aarsland, Dag Fritsche, Lars G. Pedersen, Nancy L. Savage, Jeanne E. Stefansson, Kari Wightman, Douglas P. Andreassen, Ole A. Johnsen, Marianne Bakke Rongve, Arvid Dobson, Richard Willer, Cristen Athanasiu, Lavinia Shadrin, Alexey A. Sealock, Julia M. Reynolds, Chandra A. Ulstein, Ingun Magnusson, Sigurdur Saltvedt, Ingvild Djurovic, Srdjan Nielsen, Jonas Bille Meisingset, Tore Wergeland Stordal, Eystein Børte, Sigrid Auton, Adam Gabrielsen, Maiken E. Waern, Margda Snaedal, Jon Skoog, Ingmar Jansen, Iris E. Bahrami, Shahram Fladby, Tormod Ripke, Stephan Hodges, Angela Pedersen, Linda M. Thomas, Laurent F. Bråthen, Geir Zettergren, Anna Zetterberg, Henrik Velayudhan, Latha Zwart, John-Anker Selnes, Per Sando, Sigrid B. Holland, Dominic Zhou, Wei Thordardottir, Steinunn Karlsson, Ida K. Martinsen, Amy E. Jonsson, Palmi V. Drange, Ole Kristian Blennow, Kaj Stefansson, Hreinn |
| AuthorAffiliation | 27. Health Data Research UK London, University College London, London, UK 54. Department of Psychiatry and Psychotherapy, Charité–Universitätsmedizin, Berlin, Germany 4. Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway 38. Faculty of Medicine, University of Iceland 50. NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway 28. Institute of Health Informatics, University College London, London, UK 17. Department of Neurology and Clinical Neurophysiology, University Hospital of Trondheim, Norway 29. NIHR Biomedical Research Centre at University College London Hospitals NHS Foundation Trust, London, UK 46. HUNT Research Center, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway 12. Department of Mental Health, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway 5. Department of Neurosciences, Uni |
| AuthorAffiliation_xml | – name: 54. Department of Psychiatry and Psychotherapy, Charité–Universitätsmedizin, Berlin, Germany – name: 30. 23andMe, Inc., Sunnyvale, CA, USA – name: 22. Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA – name: 43. UK Dementia Research Institute at UCL, London, United Kingdom – name: 48. Department of Geriatric Medicine, Oslo University Hospital, Oslo, Norway – name: 4. Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway – name: 50. NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway – name: 51. Centre of Age-Related Medicine, Stavanger University Hospital, Norway – name: 7. The University of Bergen, Institute of Clinical Medicine (K1), Bergen Norway – name: 2. NORMENT Centre, University of Oslo, Oslo, Norway – name: 9. K. G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway – name: 39. Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, Centre for Ageing and Health (AGECAP) at the University of Gothenburg, Sweden – name: 25. Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King’s College London, 16 De Crespigny Park, London, SE5 8AF, UK – name: 16. Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway – name: 40. Region Västra Götaland, Sahlgrenska University Hospital, Psychiatry, Cognition and Old Age Psychiatry Clinic, Gothenburg, Sweden – name: 49. Department of Medical Genetics, Oslo University Hospital, Oslo, Norway – name: 21. Center for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, 48109, MI, USA – name: 27. Health Data Research UK London, University College London, London, UK – name: 10. Department of Research, Innovation and Education, Division of Clinical Neuroscience, Oslo University Hospital, Oslo, Norway – name: 55. Department of Child and Adolescent Psychiatry and Pediatric Psychology, Section Complex Trait Genetics, Amsterdam Neuroscience, Vrije Universiteit Medical Center, Amsterdam University Medical Center, Amsterdam, The Netherlands – name: 33. Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden – name: 17. Department of Neurology and Clinical Neurophysiology, University Hospital of Trondheim, Norway – name: 52. Norwegian National Advisory Unit on Ageing and Health, Vestfold Hospital Trust, Tønsberg, Norway – name: 34. Department of Psychology, University of California-Riverside, Riverside, CA, USA – name: 26. NIHR Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King’s College London, London, UK – name: 13. Division of Mental Health Care, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway – name: 36. deCODE Genetics/Amgen, Sturlugata 8, IS-101, Reykjavik, Iceland – name: 3. Institute of Clinical Medicine, University of Oslo, Oslo, Norway – name: 42. Department of Neurodegenerative Disease, UCL Institute of Neurology, London, United Kingdom – name: 14. Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway – name: 18. Department of Geriatrics, St. Olav’s Hospital, Trondheim University Hospital, Norway – name: 46. HUNT Research Center, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway – name: 15. Department of Internal Medicine, Division of Cardiovascular Medicine, University of Michigan, Ann Arbor, 48109, MI, USA – name: 28. Institute of Health Informatics, University College London, London, UK – name: 5. Department of Neurosciences, University of California, San Diego, La Jolla, CA 92037, USA – name: 31. Division of Genetic Medicine, Department of Medicine Vanderbilt University Medical Center Nashville, TN, 37232, USA – name: 11. Department of Neurology, Oslo University Hospital, Oslo, Norway – name: 1. Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, VU University Amsterdam, The Netherlands – name: 35. Institute of Gerontology and Aging Research Network – Jönköping (ARN-J), School of Health and Welfare, Jönköping University, Jönköping, Sweden – name: 45. Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden – name: 6. Department of Research and Innovation, Helse Fonna, Haugesund Hospital, Haugesund, Norway – name: 24. Institute of Psychiatry, Psychology and Neurosciences, King’s College London – name: 29. NIHR Biomedical Research Centre at University College London Hospitals NHS Foundation Trust, London, UK – name: 19. Department of Psychiatry, Hospital Namsos, Nord-Trøndelag Health Trust, Namsos, Norway – name: 20. Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark – name: 47. Department of Neurology, Akershus University Hospital, Lørenskog, Norway – name: 12. Department of Mental Health, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway – name: 8. Research and Communication Unit for Musculoskeletal Health (FORMI), Department of Research, Innovation and Education, Division of Clinical Neuroscience, Oslo University Hospital, Oslo, Norway – name: 23. Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, Massachusetts, USA – name: 37. Department of Geriatric Medicine, Landspitali University Hospital, Reykjavik, Iceland – name: 53. Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA – name: 32. Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, 37232, USA – name: 44. Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden – name: 38. Faculty of Medicine, University of Iceland – name: 41. Region Västra Götaland, Sahlgrenska University Hospital, Psychosis Clinic, Gothenburg, Sweden |
| Author_xml | – sequence: 1 givenname: Douglas P. orcidid: 0000-0003-3377-4806 surname: Wightman fullname: Wightman, Douglas P. organization: Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, VU Amsterdam – sequence: 2 givenname: Iris E. surname: Jansen fullname: Jansen, Iris E. organization: Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, VU Amsterdam – sequence: 3 givenname: Jeanne E. orcidid: 0000-0002-2034-8341 surname: Savage fullname: Savage, Jeanne E. organization: Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, VU Amsterdam – sequence: 4 givenname: Alexey A. orcidid: 0000-0002-7467-250X surname: Shadrin fullname: Shadrin, Alexey A. organization: NORMENT Centre, University of Oslo, Institute of Clinical Medicine, University of Oslo – sequence: 5 givenname: Shahram surname: Bahrami fullname: Bahrami, Shahram organization: NORMENT Centre, University of Oslo, Institute of Clinical Medicine, University of Oslo, Division of Mental Health and Addiction, Oslo University Hospital – sequence: 6 givenname: Dominic surname: Holland fullname: Holland, Dominic organization: Department of Neurosciences, University of California, San Diego – sequence: 7 givenname: Arvid orcidid: 0000-0002-0476-4134 surname: Rongve fullname: Rongve, Arvid organization: Department of Research and Innovation, Helse Fonna, Haugesund Hospital, The University of Bergen, Institute of Clinical Medicine (K1) – sequence: 8 givenname: Sigrid orcidid: 0000-0001-9540-3256 surname: Børte fullname: Børte, Sigrid organization: Institute of Clinical Medicine, University of Oslo, Research and Communication Unit for Musculoskeletal Health (FORMI), Department of Research, Innovation and Education, Division of Clinical Neuroscience, Oslo University Hospital, K. G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology – sequence: 9 givenname: Bendik S. orcidid: 0000-0003-4171-8919 surname: Winsvold fullname: Winsvold, Bendik S. organization: K. G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Department of Research, Innovation and Education, Division of Clinical Neuroscience, Oslo University Hospital, Department of Neurology, Oslo University Hospital – sequence: 10 givenname: Ole Kristian surname: Drange fullname: Drange, Ole Kristian organization: Department of Mental Health, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Division of Mental Health Care, St. Olavs Hospital, Trondheim University Hospital – sequence: 11 givenname: Amy E. surname: Martinsen fullname: Martinsen, Amy E. organization: Institute of Clinical Medicine, University of Oslo, K. G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Department of Research, Innovation and Education, Division of Clinical Neuroscience, Oslo University Hospital – sequence: 12 givenname: Anne Heidi surname: Skogholt fullname: Skogholt, Anne Heidi organization: K. G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology – sequence: 13 givenname: Cristen orcidid: 0000-0001-5645-4966 surname: Willer fullname: Willer, Cristen organization: Department of Internal Medicine, Division of Cardiovascular Medicine, University of Michigan – sequence: 14 givenname: Geir orcidid: 0000-0003-3224-7983 surname: Bråthen fullname: Bråthen, Geir organization: Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Department of Neurology and Clinical Neurophysiology, University Hospital of Trondheim, Department of Geriatrics, St. Olav’s Hospital, Trondheim University Hospital – sequence: 15 givenname: Ingunn surname: Bosnes fullname: Bosnes, Ingunn organization: Department of Mental Health, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Department of Psychiatry, Hospital Namsos, Nord-Trøndelag Health Trust – sequence: 16 givenname: Jonas Bille surname: Nielsen fullname: Nielsen, Jonas Bille organization: K. G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Department of Internal Medicine, Division of Cardiovascular Medicine, University of Michigan, Department of Epidemiology Research, Statens Serum Institut – sequence: 17 givenname: Lars G. orcidid: 0000-0002-2110-1690 surname: Fritsche fullname: Fritsche, Lars G. organization: Center for Statistical Genetics, Department of Biostatistics, University of Michigan – sequence: 18 givenname: Laurent F. orcidid: 0000-0003-0548-2486 surname: Thomas fullname: Thomas, Laurent F. organization: K. G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology – sequence: 19 givenname: Linda M. orcidid: 0000-0002-8448-983X surname: Pedersen fullname: Pedersen, Linda M. organization: Department of Research, Innovation and Education, Division of Clinical Neuroscience, Oslo University Hospital – sequence: 20 givenname: Maiken E. surname: Gabrielsen fullname: Gabrielsen, Maiken E. organization: K. G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology – sequence: 21 givenname: Marianne Bakke surname: Johnsen fullname: Johnsen, Marianne Bakke organization: Institute of Clinical Medicine, University of Oslo, Research and Communication Unit for Musculoskeletal Health (FORMI), Department of Research, Innovation and Education, Division of Clinical Neuroscience, Oslo University Hospital, K. G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology – sequence: 22 givenname: Tore Wergeland surname: Meisingset fullname: Meisingset, Tore Wergeland organization: Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Department of Neurology and Clinical Neurophysiology, University Hospital of Trondheim – sequence: 23 givenname: Wei orcidid: 0000-0001-7719-0859 surname: Zhou fullname: Zhou, Wei organization: Department of Computational Medicine and Bioinformatics, University of Michigan, Analytic and Translational Genetics Unit, Massachusetts General Hospital – sequence: 24 givenname: Petroula orcidid: 0000-0002-2553-6974 surname: Proitsi fullname: Proitsi, Petroula organization: Institute of Psychiatry Psychology and Neurosciences, King’s College London – sequence: 25 givenname: Angela orcidid: 0000-0002-5565-6678 surname: Hodges fullname: Hodges, Angela organization: Institute of Psychiatry Psychology and Neurosciences, King’s College London – sequence: 26 givenname: Richard orcidid: 0000-0003-4224-9245 surname: Dobson fullname: Dobson, Richard organization: Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King’s College London, NIHR Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King’s College London, Health Data Research UK London, University College London, Institute of Health Informatics, University College London, NIHR Biomedical Research Centre at University College London Hospitals NHS Foundation Trust – sequence: 27 givenname: Latha orcidid: 0000-0002-7712-930X surname: Velayudhan fullname: Velayudhan, Latha organization: Institute of Psychiatry Psychology and Neurosciences, King’s College London – sequence: 28 givenname: Karl surname: Heilbron fullname: Heilbron, Karl organization: 23andMe Inc – sequence: 29 givenname: Adam surname: Auton fullname: Auton, Adam organization: 23andMe Inc – sequence: 31 givenname: Julia M. orcidid: 0000-0002-9346-3498 surname: Sealock fullname: Sealock, Julia M. organization: Division of Genetic Medicine, Department of Medicine Vanderbilt University Medical Center Nashville, Vanderbilt Genetics Institute, Vanderbilt University Medical Center – sequence: 32 givenname: Lea K. orcidid: 0000-0001-5143-2282 surname: Davis fullname: Davis, Lea K. organization: Division of Genetic Medicine, Department of Medicine Vanderbilt University Medical Center Nashville, Vanderbilt Genetics Institute, Vanderbilt University Medical Center – sequence: 33 givenname: Nancy L. surname: Pedersen fullname: Pedersen, Nancy L. organization: Department of Medical Epidemiology and Biostatistics, Karolinska Institutet – sequence: 34 givenname: Chandra A. orcidid: 0000-0001-6502-7173 surname: Reynolds fullname: Reynolds, Chandra A. organization: Department of Psychology, University of California-Riverside – sequence: 35 givenname: Ida K. surname: Karlsson fullname: Karlsson, Ida K. organization: Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Institute of Gerontology and Aging Research Network – Jönköping (ARN-J), School of Health and Welfare, Jönköping University – sequence: 36 givenname: Sigurdur orcidid: 0000-0001-6669-3071 surname: Magnusson fullname: Magnusson, Sigurdur organization: deCODE Genetics/Amgen – sequence: 37 givenname: Hreinn orcidid: 0000-0002-9331-6666 surname: Stefansson fullname: Stefansson, Hreinn organization: deCODE Genetics/Amgen – sequence: 38 givenname: Steinunn surname: Thordardottir fullname: Thordardottir, Steinunn organization: Department of Geriatric Medicine, Landspitali University Hospital – sequence: 39 givenname: Palmi V. surname: Jonsson fullname: Jonsson, Palmi V. organization: Department of Geriatric Medicine, Landspitali University Hospital, Faculty of Medicine, University of Iceland – sequence: 40 givenname: Jon surname: Snaedal fullname: Snaedal, Jon organization: Department of Geriatric Medicine, Landspitali University Hospital – sequence: 41 givenname: Anna orcidid: 0000-0002-7182-8417 surname: Zettergren fullname: Zettergren, Anna organization: Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, Centre for Ageing and Health (AGECAP) at the University of Gothenburg – sequence: 42 givenname: Ingmar surname: Skoog fullname: Skoog, Ingmar organization: Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, Centre for Ageing and Health (AGECAP) at the University of Gothenburg, Region Västra Götaland, Sahlgrenska University Hospital, Psychiatry, Cognition and Old Age Psychiatry Clinic – sequence: 43 givenname: Silke surname: Kern fullname: Kern, Silke organization: Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, Centre for Ageing and Health (AGECAP) at the University of Gothenburg, Region Västra Götaland, Sahlgrenska University Hospital, Psychiatry, Cognition and Old Age Psychiatry Clinic – sequence: 44 givenname: Margda surname: Waern fullname: Waern, Margda organization: Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, Centre for Ageing and Health (AGECAP) at the University of Gothenburg, Region Västra Götaland, Sahlgrenska University Hospital, Psychosis Clinic – sequence: 45 givenname: Henrik surname: Zetterberg fullname: Zetterberg, Henrik organization: Department of Neurodegenerative Disease, UCL Institute of Neurology, UK Dementia Research Institute at UCL, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital – sequence: 46 givenname: Kaj surname: Blennow fullname: Blennow, Kaj organization: Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital – sequence: 47 givenname: Eystein orcidid: 0000-0002-2443-7923 surname: Stordal fullname: Stordal, Eystein organization: Department of Mental Health, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Department of Psychiatry, Hospital Namsos, Nord-Trøndelag Health Trust – sequence: 48 givenname: Kristian surname: Hveem fullname: Hveem, Kristian organization: K. G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, HUNT Research Center, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology – sequence: 49 givenname: John-Anker orcidid: 0000-0001-5721-0154 surname: Zwart fullname: Zwart, John-Anker organization: Institute of Clinical Medicine, University of Oslo, K. G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Department of Research, Innovation and Education, Division of Clinical Neuroscience, Oslo University Hospital – sequence: 50 givenname: Lavinia surname: Athanasiu fullname: Athanasiu, Lavinia organization: NORMENT Centre, University of Oslo, Division of Mental Health and Addiction, Oslo University Hospital – sequence: 51 givenname: Per surname: Selnes fullname: Selnes, Per organization: Department of Neurology, Akershus University Hospital – sequence: 52 givenname: Ingvild orcidid: 0000-0002-7897-9808 surname: Saltvedt fullname: Saltvedt, Ingvild organization: Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Department of Geriatrics, St. Olav’s Hospital, Trondheim University Hospital – sequence: 53 givenname: Sigrid B. surname: Sando fullname: Sando, Sigrid B. organization: Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Department of Neurology and Clinical Neurophysiology, University Hospital of Trondheim – sequence: 54 givenname: Ingun surname: Ulstein fullname: Ulstein, Ingun organization: Department of Geriatric Medicine, Oslo University Hospital – sequence: 55 givenname: Srdjan orcidid: 0000-0002-8140-8061 surname: Djurovic fullname: Djurovic, Srdjan organization: Department of Medical Genetics, Oslo University Hospital, NORMENT, Department of Clinical Science, University of Bergen – sequence: 56 givenname: Tormod orcidid: 0000-0002-9984-9797 surname: Fladby fullname: Fladby, Tormod organization: Institute of Clinical Medicine, University of Oslo, Department of Neurology, Akershus University Hospital – sequence: 57 givenname: Dag surname: Aarsland fullname: Aarsland, Dag organization: Institute of Psychiatry Psychology and Neurosciences, King’s College London, Centre of Age-Related Medicine, Stavanger University Hospital – sequence: 58 givenname: Geir orcidid: 0000-0001-6511-8219 surname: Selbæk fullname: Selbæk, Geir organization: Institute of Clinical Medicine, University of Oslo, Department of Geriatric Medicine, Oslo University Hospital, Norwegian National Advisory Unit on Ageing and Health, Vestfold Hospital Trust – sequence: 59 givenname: Stephan orcidid: 0000-0003-3622-835X surname: Ripke fullname: Ripke, Stephan organization: Analytic and Translational Genetics Unit, Massachusetts General Hospital, Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Department of Psychiatry and Psychotherapy, Charité–Universitätsmedizin – sequence: 60 givenname: Kari orcidid: 0000-0003-1676-864X surname: Stefansson fullname: Stefansson, Kari organization: deCODE Genetics/Amgen – sequence: 61 givenname: Ole A. orcidid: 0000-0002-4461-3568 surname: Andreassen fullname: Andreassen, Ole A. organization: NORMENT Centre, University of Oslo, Institute of Clinical Medicine, University of Oslo, Division of Mental Health and Addiction, Oslo University Hospital – sequence: 62 givenname: Danielle orcidid: 0000-0001-7582-2365 surname: Posthuma fullname: Posthuma, Danielle email: d.posthuma@vu.nl organization: Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, VU Amsterdam, Department of Child and Adolescent Psychiatry and Pediatric Psychology, Section Complex Trait Genetics, Amsterdam Neuroscience, Vrije Universiteit Medical Center, Amsterdam University Medical Center |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/34493870$$D View this record in MEDLINE/PubMed https://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-54690$$DView record from Swedish Publication Index (Högskolan i Jönköping) https://gup.ub.gu.se/publication/310534$$DView record from Swedish Publication Index (Göteborgs universitet) http://kipublications.ki.se/Default.aspx?queryparsed=id:147752070$$DView record from Swedish Publication Index (Karolinska Institutet) |
| BookMark | eNqNk9tu1DAQQCNURC_wAzwgS7yAaIodO47zhFblVqlSJS59tZx4kvU2iZc46dJ94jf4Pb6E2e4WsQhWyFJsTc4ZWeOZw2iv8x1E0WNGTxjl6mUQLFUqpgmLKc3xu7wXHbBUyJhlTO3hmUoWC8rlfnQYwoxSJgRVD6J9LkTOVUYPonZCauh8C_HCWSAmBF86MzjfkTCM9oYs3DAl7Jgl8jiVnLjOumtnR9MEgkI3uMpBIB0sSO_CFWlQJ5XvyaRZTsG10P_49j0Q6wKYAA-j-xWa8GizH0Wf3775dPo-Pr94d3Y6OY9LmYshNllhrOGmKE3KElWkkKfWMsVlAlzkpeKFMImB3EqRFZaCopKLhFqZZWmRZvwoitd5wwLmY6HnvWtNf6O9cXoTusITaJHmSSJ28vU41xiqxxXPGU35in_xT_61u5xo39d6OtP4FjlF-tWaRrQFW2LVetNsSdt_OjfVtb_WjOLdJF1leLbJ0PsvI4RBty6U0DSmAz8GnaQZ5RlXQiL6dI3WpgHtuspjynKF64nMhKQqpwypk79QuCy0rsQ2qxzGt4TnWwIyA3wdajOGoM8-fvh_9uJym33ye21-FeWuQxFQa6DsfQg9VLp0w22D4o1dgzXSq2HQ62HQOAz6dhj0EtXkD_Uu-06Jb54W4a6GXs_82HfYrbusn0QlHGc |
| CitedBy_id | crossref_primary_10_1007_s44192_023_00057_y crossref_primary_10_1007_s00401_024_02815_w crossref_primary_10_1038_s41380_023_02089_w crossref_primary_10_1016_j_neurobiolaging_2023_03_004 crossref_primary_10_1038_s41586_025_08852_z crossref_primary_10_1186_s13195_024_01609_2 crossref_primary_10_3233_JAD_220086 crossref_primary_10_1212_WNL_0000000000213794 crossref_primary_10_1186_s13073_025_01473_1 crossref_primary_10_1016_j_bbi_2024_04_026 crossref_primary_10_1038_s41392_024_01809_0 crossref_primary_10_1038_s41582_025_01062_1 crossref_primary_10_1186_s12888_024_05614_5 crossref_primary_10_1038_s43587_025_00879_1 crossref_primary_10_1186_s12974_024_03163_y crossref_primary_10_1038_s41586_024_07234_1 crossref_primary_10_1038_s41380_024_02651_0 crossref_primary_10_1016_j_it_2025_02_011 crossref_primary_10_1016_j_ajhg_2025_03_012 crossref_primary_10_1038_s41380_023_02076_1 crossref_primary_10_1038_s41598_025_90277_9 crossref_primary_10_1002_acn3_51757 crossref_primary_10_1038_s41588_025_02269_0 crossref_primary_10_1016_j_tox_2025_154198 crossref_primary_10_1093_brain_awae090 crossref_primary_10_1186_s13024_025_00873_6 crossref_primary_10_1038_s41467_024_49790_0 crossref_primary_10_3390_jcm12165189 crossref_primary_10_1038_s41562_024_01879_8 crossref_primary_10_3233_JAD_215602 crossref_primary_10_1177_11795735221123896 crossref_primary_10_1186_s13024_021_00505_9 crossref_primary_10_4103_NRR_NRR_D_24_01330 crossref_primary_10_1016_j_neurobiolaging_2022_02_016 crossref_primary_10_3233_JAD_215627 crossref_primary_10_1038_s41467_023_40611_4 crossref_primary_10_1038_s41380_022_01926_8 crossref_primary_10_1177_25424823251328300 crossref_primary_10_31083_j_jin2104105 crossref_primary_10_1007_s00401_024_02704_2 crossref_primary_10_1002_mds_29144 crossref_primary_10_1038_s41380_022_01892_1 crossref_primary_10_3389_fncel_2023_1208122 crossref_primary_10_3390_antiox13101208 crossref_primary_10_1038_s41588_024_01963_9 crossref_primary_10_1038_s41590_023_01627_6 crossref_primary_10_3389_fnagi_2023_1290657 crossref_primary_10_1007_s00415_022_11459_3 crossref_primary_10_1038_s41398_024_02958_0 crossref_primary_10_3390_genes14101845 crossref_primary_10_1016_j_cell_2025_06_031 crossref_primary_10_1016_j_arr_2025_102689 crossref_primary_10_1007_s00401_025_02888_1 crossref_primary_10_1002_hbm_70203 crossref_primary_10_3390_epigenomes8020014 crossref_primary_10_1186_s12864_024_09967_9 crossref_primary_10_1038_s41380_022_01695_4 crossref_primary_10_2174_0115672050379410250421065857 crossref_primary_10_3389_fnagi_2024_1421900 crossref_primary_10_1186_s13073_022_01134_7 crossref_primary_10_1186_s13024_023_00674_9 crossref_primary_10_1002_gepi_70014 crossref_primary_10_3389_fnmol_2022_910298 crossref_primary_10_1016_j_envres_2022_114595 crossref_primary_10_1073_pnas_2212180120 crossref_primary_10_1186_s13195_022_01044_1 crossref_primary_10_1038_s41380_022_01531_9 crossref_primary_10_1038_s41380_024_02838_5 crossref_primary_10_3233_JAD_220164 crossref_primary_10_1016_j_ejphar_2024_176694 crossref_primary_10_1371_journal_pgen_1010929 crossref_primary_10_1038_s41398_024_03155_9 crossref_primary_10_3390_life15010096 crossref_primary_10_1136_jmg_2023_109295 crossref_primary_10_1016_j_biopsych_2024_11_007 crossref_primary_10_1038_s41398_022_02055_0 crossref_primary_10_1038_s43587_025_00952_9 crossref_primary_10_1038_s41380_024_02654_x crossref_primary_10_3390_ijms241713480 crossref_primary_10_1016_j_neuron_2022_10_015 crossref_primary_10_1038_s44220_025_00397_4 crossref_primary_10_1007_s10519_025_10229_x crossref_primary_10_1038_s42003_025_08177_7 crossref_primary_10_1016_j_isci_2024_111413 crossref_primary_10_1093_hmg_ddae115 crossref_primary_10_1038_s41380_024_02510_y crossref_primary_10_1186_s13195_022_01079_4 crossref_primary_10_1016_j_csbj_2022_07_018 crossref_primary_10_1101_gr_279252_124 crossref_primary_10_3390_genes13060986 crossref_primary_10_1016_j_pnpbp_2025_111396 crossref_primary_10_1002_alz_13873 crossref_primary_10_1007_s00018_022_04614_6 crossref_primary_10_1186_s13195_021_00951_z crossref_primary_10_1186_s13195_024_01488_7 crossref_primary_10_1002_alz_13753 crossref_primary_10_3389_fimmu_2022_970938 crossref_primary_10_1080_07391102_2024_2321246 crossref_primary_10_3233_JAD_231075 crossref_primary_10_1186_s13059_024_03439_9 crossref_primary_10_1186_s13195_023_01372_w crossref_primary_10_7554_eLife_78847 crossref_primary_10_1016_j_coi_2022_102233 crossref_primary_10_1093_bib_bbae704 crossref_primary_10_1038_s41586_024_07606_7 crossref_primary_10_1007_s13311_021_01152_0 crossref_primary_10_3390_ijms24021278 crossref_primary_10_1111_1751_7915_14462 crossref_primary_10_1016_j_nicl_2024_103660 crossref_primary_10_1038_s41467_024_45692_3 crossref_primary_10_1186_s13024_025_00840_1 crossref_primary_10_3389_fnagi_2022_853695 crossref_primary_10_1016_j_neurobiolaging_2022_09_004 crossref_primary_10_3390_life14030346 crossref_primary_10_1002_alz_13718 crossref_primary_10_1186_s13024_025_00799_z crossref_primary_10_1186_s13024_022_00523_1 crossref_primary_10_1371_journal_pone_0281440 crossref_primary_10_1186_s40478_025_01968_3 crossref_primary_10_1007_s12035_023_03690_4 crossref_primary_10_1016_j_jlr_2024_100667 crossref_primary_10_3390_genes13010039 crossref_primary_10_3389_fgene_2022_1012706 crossref_primary_10_3389_fnagi_2023_1287322 crossref_primary_10_1093_nar_gkac736 crossref_primary_10_1016_j_arr_2024_102192 crossref_primary_10_1177_13872877251326288 crossref_primary_10_3390_neurolint17070099 crossref_primary_10_3390_cells12151990 crossref_primary_10_1038_s10038_022_01050_z crossref_primary_10_1109_JBHI_2024_3442468 crossref_primary_10_3233_JAD_220174 crossref_primary_10_1038_s43587_024_00630_2 crossref_primary_10_1177_13872877251326283 crossref_primary_10_1038_s41467_025_59949_y crossref_primary_10_1016_j_addr_2022_114398 crossref_primary_10_3389_fnins_2023_1219299 crossref_primary_10_1089_neu_2024_0153 crossref_primary_10_1186_s12916_022_02404_2 crossref_primary_10_1186_s13024_023_00652_1 crossref_primary_10_3390_genes14030763 crossref_primary_10_1016_j_bbi_2025_04_014 crossref_primary_10_1212_WNL_0000000000200265 crossref_primary_10_3390_genes14091666 crossref_primary_10_1016_j_nbd_2023_106209 crossref_primary_10_3390_cells11243994 crossref_primary_10_1016_j_neuron_2023_05_031 crossref_primary_10_1177_13872877251317543 crossref_primary_10_3233_JAD_220599 crossref_primary_10_1007_s40263_022_00915_3 crossref_primary_10_1093_bib_bbac611 crossref_primary_10_1038_s41593_022_01222_2 crossref_primary_10_1371_journal_pgen_1011372 crossref_primary_10_3233_JAD_231020 crossref_primary_10_1016_j_neuron_2023_01_016 crossref_primary_10_3389_fnagi_2023_1158579 crossref_primary_10_1096_fj_202201197R crossref_primary_10_1002_alz_70580 crossref_primary_10_1186_s12991_025_00559_9 crossref_primary_10_1016_j_cell_2023_08_005 crossref_primary_10_1001_jamapsychiatry_2024_4230 crossref_primary_10_3389_fnagi_2022_1027224 crossref_primary_10_1002_alz_13427 crossref_primary_10_1038_s41582_023_00789_z crossref_primary_10_1186_s12874_023_01973_x crossref_primary_10_3390_biology14010098 crossref_primary_10_1002_alz_13796 crossref_primary_10_3389_fgene_2025_1507395 crossref_primary_10_1038_s41582_022_00678_x crossref_primary_10_1210_clinem_dgae136 crossref_primary_10_3389_fnagi_2022_1021918 crossref_primary_10_1186_s13195_022_01127_z crossref_primary_10_1002_alz_70452 crossref_primary_10_1016_j_tjpad_2025_100135 crossref_primary_10_1186_s13040_024_00400_1 crossref_primary_10_3390_ijms25136901 crossref_primary_10_4103_1673_5374_343893 crossref_primary_10_1038_s42003_024_06273_8 crossref_primary_10_3390_ijms241612966 crossref_primary_10_1038_s42003_022_03607_2 crossref_primary_10_20517_and_2025_04 crossref_primary_10_1038_s41576_023_00633_6 crossref_primary_10_1186_s12967_024_05796_2 crossref_primary_10_1016_j_immuni_2024_11_003 crossref_primary_10_1016_j_ajhg_2024_07_001 crossref_primary_10_31083_JIN36401 crossref_primary_10_1016_j_neurol_2023_12_006 crossref_primary_10_3389_fimmu_2024_1326354 crossref_primary_10_1007_s00702_025_02988_y crossref_primary_10_1080_1028415X_2023_2187952 crossref_primary_10_1523_JNEUROSCI_1563_23_2024 crossref_primary_10_1186_s13073_025_01444_6 crossref_primary_10_1016_j_schres_2022_06_023 crossref_primary_10_1038_s41467_023_42819_w crossref_primary_10_1038_s41419_024_06568_y crossref_primary_10_1002_alz_13880 crossref_primary_10_1038_s41467_024_52298_2 crossref_primary_10_1016_j_mocell_2025_100265 crossref_primary_10_3390_cells12030420 crossref_primary_10_1038_s41435_025_00344_4 crossref_primary_10_1016_j_ncl_2023_01_001 crossref_primary_10_3389_fneur_2024_1326692 crossref_primary_10_1007_s00401_024_02699_w crossref_primary_10_3389_fnagi_2024_1459134 crossref_primary_10_1016_j_pneurobio_2025_102831 crossref_primary_10_1186_s13024_022_00574_4 crossref_primary_10_1212_NXG_0000000000200120 crossref_primary_10_1038_s41467_023_36311_8 crossref_primary_10_1002_hbm_25711 crossref_primary_10_1016_j_bios_2024_117078 crossref_primary_10_1186_s13073_023_01155_w crossref_primary_10_3389_fncel_2024_1456253 crossref_primary_10_1038_s41467_025_61650_z crossref_primary_10_3233_JAD_230007 crossref_primary_10_1093_hmg_ddaf036 crossref_primary_10_3389_fnagi_2023_1241412 crossref_primary_10_1016_j_nlm_2025_108077 crossref_primary_10_3389_fncel_2022_899251 crossref_primary_10_1007_s12035_024_04513_w crossref_primary_10_1002_alz_14553 crossref_primary_10_1016_j_celrep_2025_116266 crossref_primary_10_1038_s41380_022_01621_8 crossref_primary_10_1038_s41588_024_01939_9 crossref_primary_10_1038_s41366_024_01592_6 crossref_primary_10_1093_molbev_msaf189 crossref_primary_10_1016_j_bja_2025_05_014 crossref_primary_10_1101_gr_279694_124 crossref_primary_10_1021_acschemneuro_5c00446 crossref_primary_10_1097_CM9_0000000000002716 crossref_primary_10_1186_s13195_023_01242_5 crossref_primary_10_1177_15333175221085066 crossref_primary_10_1186_s12979_023_00376_2 crossref_primary_10_1002_alz_13112 crossref_primary_10_1002_alz_13113 crossref_primary_10_1038_s41467_023_38480_y crossref_primary_10_1038_s41467_024_48654_x crossref_primary_10_1016_j_biopsych_2023_05_020 crossref_primary_10_1038_s41392_024_01743_1 crossref_primary_10_1038_s44220_023_00111_2 crossref_primary_10_3389_fnut_2023_1052281 crossref_primary_10_1002_acn3_51606 crossref_primary_10_1212_WNL_0000000000200898 crossref_primary_10_1002_alz_13319 crossref_primary_10_1007_s11357_024_01477_6 crossref_primary_10_1186_s13195_025_01757_z crossref_primary_10_1038_s41467_024_54441_5 crossref_primary_10_1016_j_tins_2023_03_005 crossref_primary_10_3389_fnins_2021_824145 crossref_primary_10_1002_ajmg_b_33019 crossref_primary_10_1038_s41467_024_53548_z crossref_primary_10_1002_alz_14416 crossref_primary_10_1212_WNL_0000000000213976 crossref_primary_10_3390_ijms231810722 crossref_primary_10_1038_d41586_022_00873_2 crossref_primary_10_1186_s13195_022_01159_5 crossref_primary_10_1002_alz_70681 crossref_primary_10_3389_fgene_2022_1009390 crossref_primary_10_1073_pnas_2516103122 crossref_primary_10_3390_genes15121509 crossref_primary_10_2196_55211 crossref_primary_10_1038_s42003_023_05113_5 crossref_primary_10_1016_j_neuron_2024_04_009 crossref_primary_10_1038_s41467_024_52583_0 crossref_primary_10_3390_ijms23073629 crossref_primary_10_5812_ijem_159124 crossref_primary_10_1038_s41582_022_00633_w crossref_primary_10_1016_j_bbrc_2024_150025 crossref_primary_10_1038_s41597_023_01948_z crossref_primary_10_1016_j_semcdb_2023_06_005 crossref_primary_10_1186_s12888_024_06409_4 crossref_primary_10_1212_CON_0000000000001505 crossref_primary_10_3390_genes16060640 crossref_primary_10_1016_j_cell_2024_08_019 crossref_primary_10_1073_pnas_2302720120 crossref_primary_10_1080_13102818_2022_2155572 crossref_primary_10_1038_s41580_024_00753_9 crossref_primary_10_1371_journal_pgen_1010208 crossref_primary_10_1371_journal_pgen_1011659 crossref_primary_10_1007_s10072_024_07976_w crossref_primary_10_1080_14737159_2024_2388765 crossref_primary_10_1016_j_neurobiolaging_2022_05_011 crossref_primary_10_1038_s41588_024_01771_1 crossref_primary_10_1002_wsbm_1635 crossref_primary_10_1007_s12035_025_04732_9 crossref_primary_10_1038_s41467_023_43567_7 crossref_primary_10_12688_f1000research_140403_2 crossref_primary_10_1016_j_smim_2022_101651 crossref_primary_10_12688_f1000research_140403_1 crossref_primary_10_3389_fgene_2024_1392622 crossref_primary_10_1038_s41467_022_34932_z crossref_primary_10_1371_journal_pgen_1011412 crossref_primary_10_3390_genes13091607 crossref_primary_10_1007_s44192_022_00030_1 crossref_primary_10_1371_journal_pgen_1010681 crossref_primary_10_1038_s41467_025_58159_w crossref_primary_10_3390_bioengineering10020253 crossref_primary_10_1038_s41598_023_29108_8 crossref_primary_10_1016_j_molcel_2023_02_023 crossref_primary_10_1186_s12868_024_00867_y crossref_primary_10_1007_s11357_023_00982_4 crossref_primary_10_1186_s13195_024_01612_7 crossref_primary_10_1016_j_nbas_2025_100147 crossref_primary_10_1021_acs_nanolett_5c01182 crossref_primary_10_1038_s41467_024_50983_w crossref_primary_10_1016_j_biopsych_2023_02_992 crossref_primary_10_1038_s41467_024_46554_8 crossref_primary_10_1126_sciimmunol_adf2223 crossref_primary_10_1192_bjo_2025_10048 crossref_primary_10_1002_alz_14128 crossref_primary_10_1016_j_tma_2023_06_004 crossref_primary_10_1002_alz_14121 crossref_primary_10_1186_s12974_022_02584_x crossref_primary_10_3233_JAD_231432 crossref_primary_10_1016_j_ebiom_2023_104511 crossref_primary_10_1016_j_jbi_2023_104536 crossref_primary_10_3389_fnins_2023_1104985 crossref_primary_10_1186_s40478_022_01370_3 crossref_primary_10_1186_s13195_025_01774_y crossref_primary_10_1016_j_psychres_2023_115141 crossref_primary_10_26508_lsa_202201542 crossref_primary_10_1007_s11357_022_00721_1 crossref_primary_10_3389_fnagi_2022_996030 crossref_primary_10_1038_s41588_024_01685_y crossref_primary_10_1002_alz_14214 crossref_primary_10_1016_j_nbd_2023_106140 crossref_primary_10_1038_s41467_024_47802_7 crossref_primary_10_1371_journal_pone_0313733 crossref_primary_10_1016_j_scib_2024_09_005 crossref_primary_10_1038_s41593_022_01240_0 crossref_primary_10_1073_pnas_2303760120 crossref_primary_10_3390_ijms25116222 crossref_primary_10_1016_j_ajhg_2023_12_015 crossref_primary_10_3389_fgene_2024_1376050 crossref_primary_10_1038_s41588_022_01024_z crossref_primary_10_1016_j_csbj_2024_08_027 crossref_primary_10_3233_JAD_220892 crossref_primary_10_3233_ADR_230076 crossref_primary_10_1038_s41598_024_76245_9 crossref_primary_10_3389_fnagi_2025_1535094 crossref_primary_10_1097_WCO_0000000000001242 crossref_primary_10_3390_vaccines10060943 crossref_primary_10_1016_j_nsa_2024_104070 crossref_primary_10_3390_biomedicines10123025 crossref_primary_10_1016_j_apsb_2025_07_018 crossref_primary_10_1073_pnas_2519253122 crossref_primary_10_1016_j_neurobiolaging_2022_06_011 crossref_primary_10_1177_13872877251360009 crossref_primary_10_3389_fnagi_2025_1558078 crossref_primary_10_4018_IJWSR_349590 crossref_primary_10_1093_bib_bbaf250 crossref_primary_10_3390_life12071094 crossref_primary_10_1002_alz_14037 crossref_primary_10_1038_s41540_024_00376_y crossref_primary_10_1186_s12967_025_06739_1 crossref_primary_10_1038_s42003_024_06810_5 crossref_primary_10_1038_s41467_025_57751_4 crossref_primary_10_1186_s13073_023_01233_z crossref_primary_10_3390_cells11233864 crossref_primary_10_1038_s41398_022_02093_8 crossref_primary_10_1186_s13059_025_03564_z crossref_primary_10_1016_j_neuroimage_2025_121132 crossref_primary_10_3390_cells12020245 crossref_primary_10_1038_s41588_022_01154_4 crossref_primary_10_1038_s41591_025_03891_5 crossref_primary_10_1002_alz_14283 crossref_primary_10_1016_j_mam_2022_101111 crossref_primary_10_1038_s41598_022_22179_z crossref_primary_10_1126_sciimmunol_adp6450 crossref_primary_10_1016_j_ijbiomac_2023_127553 crossref_primary_10_3389_ebm_2024_10303 crossref_primary_10_1186_s13024_025_00825_0 crossref_primary_10_1002_alz_70031 crossref_primary_10_1016_j_semcdb_2022_07_011 crossref_primary_10_3233_JAD_240787 crossref_primary_10_1016_j_mric_2024_01_003 crossref_primary_10_1038_s41598_023_29428_9 crossref_primary_10_1016_j_tjpad_2025_100089 crossref_primary_10_1111_cns_70091 crossref_primary_10_3389_fnins_2022_915405 crossref_primary_10_1038_s41423_024_01181_7 crossref_primary_10_3233_JAD_230510 crossref_primary_10_1007_s11427_022_2345_2 crossref_primary_10_1038_s41531_025_01049_1 crossref_primary_10_3389_fnagi_2023_1167886 crossref_primary_10_1002_alz_14269 crossref_primary_10_1093_jnen_nlae032 crossref_primary_10_1016_j_nbd_2023_106174 crossref_primary_10_1016_j_biopsych_2024_05_023 crossref_primary_10_1016_j_csbj_2025_08_009 crossref_primary_10_1038_s41398_023_02695_w crossref_primary_10_1038_s41551_025_01412_w crossref_primary_10_1080_19336950_2025_2492161 crossref_primary_10_1002_alz_70277 crossref_primary_10_1093_hmg_ddac124 crossref_primary_10_1016_j_gde_2023_102146 crossref_primary_10_1002_wnan_1946 crossref_primary_10_1016_j_neurobiolaging_2022_07_011 crossref_primary_10_1038_s41594_025_01657_8 crossref_primary_10_1111_nan_12788 crossref_primary_10_3389_fmolb_2024_1478611 crossref_primary_10_3390_genes14020353 crossref_primary_10_1080_13854046_2024_2344869 crossref_primary_10_1038_s41562_024_01963_z crossref_primary_10_3389_fnmol_2022_1072046 crossref_primary_10_1016_j_parkreldis_2022_02_016 crossref_primary_10_1186_s13073_024_01330_7 crossref_primary_10_1093_brain_awaf105 crossref_primary_10_3390_ijms25021231 crossref_primary_10_1016_j_dcn_2023_101229 crossref_primary_10_3389_fgene_2021_722221 crossref_primary_10_1016_j_heliyon_2024_e37556 crossref_primary_10_1093_bib_bbae111 crossref_primary_10_1016_j_nrleng_2022_10_001 crossref_primary_10_3389_fnagi_2022_969817 crossref_primary_10_1134_S0006297924603174 crossref_primary_10_1016_j_bbi_2023_07_011 crossref_primary_10_3233_JAD_240899 crossref_primary_10_1186_s40035_022_00315_z crossref_primary_10_1016_j_virol_2025_110523 crossref_primary_10_1002_adbi_202300692 crossref_primary_10_1038_s41380_025_02925_1 crossref_primary_10_1016_j_bbi_2022_10_009 crossref_primary_10_3390_genes14020347 crossref_primary_10_1038_s41598_023_29953_7 crossref_primary_10_1016_j_tig_2022_08_005 crossref_primary_10_3389_fncel_2023_1198715 crossref_primary_10_1038_s41467_025_56833_7 crossref_primary_10_1038_s41582_024_00988_2 crossref_primary_10_1016_j_tcb_2023_02_006 crossref_primary_10_1038_s41398_025_03348_w crossref_primary_10_1093_bib_bbae140 crossref_primary_10_3389_fnmol_2024_1399965 crossref_primary_10_1038_s41467_024_55698_6 crossref_primary_10_1186_s12966_025_01814_8 crossref_primary_10_1371_journal_pone_0297883 crossref_primary_10_3389_fimmu_2024_1323409 crossref_primary_10_1007_s10519_023_10140_3 crossref_primary_10_1038_s41531_024_00729_8 crossref_primary_10_1038_s42003_023_04791_5 crossref_primary_10_1016_j_jtemb_2025_127712 crossref_primary_10_1016_j_dnarep_2024_103678 crossref_primary_10_3390_biomedicines11102727 crossref_primary_10_1007_s00401_022_02469_6 crossref_primary_10_1038_s41398_024_02939_3 crossref_primary_10_1016_j_aquaculture_2024_740543 crossref_primary_10_1080_17582024_2025_2554515 crossref_primary_10_1001_jamanetworkopen_2024_16504 crossref_primary_10_1038_s41586_022_05474_7 crossref_primary_10_1038_s41582_022_00714_w crossref_primary_10_1002_ana_26588 crossref_primary_10_1186_s40246_024_00704_7 crossref_primary_10_1093_hmg_ddac203 crossref_primary_10_1007_s11910_022_01232_4 crossref_primary_10_1016_j_nbd_2021_105558 crossref_primary_10_1007_s00401_024_02835_6 crossref_primary_10_1016_j_immuni_2024_09_014 crossref_primary_10_1371_journal_pbio_3002702 crossref_primary_10_3390_genes14112010 crossref_primary_10_1016_j_psychres_2024_115760 crossref_primary_10_1016_j_jneuroim_2023_578031 crossref_primary_10_1146_annurev_biodatasci_102423_121021 crossref_primary_10_1002_alz_12927 crossref_primary_10_3389_fimmu_2023_1168539 crossref_primary_10_1038_s41380_022_01475_0 crossref_primary_10_1016_j_celrep_2024_114128 crossref_primary_10_1038_s41598_022_12391_2 crossref_primary_10_3390_genes15111376 crossref_primary_10_1093_brain_awae176 crossref_primary_10_1177_13872877251375473 crossref_primary_10_3389_fnins_2023_1283742 crossref_primary_10_3233_JAD_230936 crossref_primary_10_3390_cells11121885 crossref_primary_10_1016_j_phrs_2024_107171 crossref_primary_10_1038_d41586_022_03371_7 crossref_primary_10_1038_s41467_025_62579_z crossref_primary_10_1038_s41586_024_07109_5 crossref_primary_10_1038_s42003_022_04237_4 crossref_primary_10_1038_s43587_024_00778_x crossref_primary_10_1080_14789450_2023_2260955 crossref_primary_10_1186_s13024_023_00633_4 crossref_primary_10_1186_s13024_023_00679_4 crossref_primary_10_1007_s11357_023_00883_6 crossref_primary_10_1016_j_cell_2022_10_007 crossref_primary_10_1016_j_molmed_2023_05_007 crossref_primary_10_3233_JAD_230904 crossref_primary_10_1002_dad2_70107 crossref_primary_10_1126_science_adi5199 crossref_primary_10_1016_j_aggp_2025_100207 crossref_primary_10_1038_s41598_023_28057_6 crossref_primary_10_1161_JAHA_123_029623 crossref_primary_10_1093_jleuko_qiae134 crossref_primary_10_1186_s12974_023_02973_w crossref_primary_10_1038_s41582_021_00575_9 crossref_primary_10_1016_j_neurobiolaging_2022_07_009 crossref_primary_10_3389_fpsyt_2024_1414776 crossref_primary_10_1038_s41588_023_01485_w crossref_primary_10_1038_s43587_024_00611_5 crossref_primary_10_1016_j_nbd_2022_105983 crossref_primary_10_1177_13872877251366662 crossref_primary_10_1016_j_isci_2023_107958 crossref_primary_10_1038_s41380_024_02685_4 crossref_primary_10_1038_s41380_025_02901_9 crossref_primary_10_1038_s41598_022_23477_2 crossref_primary_10_1186_s12915_024_01867_4 crossref_primary_10_1371_journal_pgen_1011701 crossref_primary_10_1093_schbul_sbad140 crossref_primary_10_1093_brain_awae028 crossref_primary_10_1016_j_preteyeres_2022_101154 crossref_primary_10_3390_biomedicines11082240 crossref_primary_10_3389_fnagi_2022_840651 crossref_primary_10_1093_brain_awaf113 crossref_primary_10_2337_dc22_0105 |
| Cites_doi | 10.1038/s41588-020-00776-w 10.1016/j.cels.2015.12.004 10.1038/s41467-018-06022-6 10.1016/j.cell.2016.10.026 10.1038/ng.3737 10.1074/jbc.M111.243907 10.1038/s41598-017-04412-2 10.1093/nar/gkx1037 10.1038/s41467-019-11181-1 10.1038/s41398-018-0150-6 10.1038/nn.4632 10.1371/journal.pgen.1008720 10.3233/JAD-180416 10.1038/s41588-020-0625-2 10.1016/j.ajhg.2013.04.015 10.1038/ng.3406 10.1038/mp.2015.23 10.1038/nn.3554 10.1038/nature15393 10.1038/nprot.2014.071 10.1093/nar/gkq603 10.1038/ng.2205 10.1038/s41467-018-02926-5 10.1038/s41598-017-16546-4 10.1038/s41588-017-0005-8 10.1038/ncomms5046 10.1111/rssb.12388 10.1001/archpsyc.63.2.168 10.1093/bioinformatics/btq419 10.1007/s00401-019-02066-0 10.1126/science.aat8464 10.1186/s13024-019-0333-5 10.1038/s41588-019-0358-2 10.1038/s41557-018-0147-z 10.1038/ng.3211 10.1038/ng.3162 10.1038/s41467-020-18534-1 10.1038/s41588-020-00721-x 10.1212/WNL.0b013e3182074bd2 10.1371/journal.pcbi.1003118 10.1093/nar/gkv1189 10.1093/genetics/iyaa046 10.1038/s41467-018-04365-8 10.1093/bioinformatics/btw613 10.1371/journal.pcbi.1005766 10.1371/journal.pmed.1001779 10.7554/eLife.00523 10.1038/s41514-020-00052-5 10.1038/s41467-021-22491-8 10.3389/fnins.2019.00506 10.1016/j.nbd.2020.104962 10.1038/nn.4399 10.1038/s41588-021-00875-2 10.1016/j.cell.2018.02.001 10.1038/s41588-018-0046-7 10.1038/ng.3766 10.1189/jlb.5MR1216-534R 10.1038/s41588-018-0311-9 10.1038/ng.2802 10.1371/journal.pgen.1004383 10.1016/j.cell.2016.09.025 10.1038/nature25980 10.1038/ng.2756 10.1038/nmeth.4407 10.1038/s41593-018-0197-y 10.1155/2018/3491269 10.1038/ncomms14049 10.1016/j.cell.2017.09.004 10.1126/science.1246949 10.1038/nn.3801 10.1038/s41392-019-0063-8 10.1186/s12864-019-5549-9 10.1093/gerona/52A.2.M117 10.1016/j.cell.2016.09.024 10.1038/s41467-017-01261-5 10.1093/bib/bbs038 10.1038/ncomms8545 10.1371/journal.pmed.1002258 10.1371/journal.pcbi.1004219 10.1186/s12920-017-0267-0 10.1016/S1474-4422(16)00062-4 10.1038/s41598-018-35789-3 10.1038/nature14248 10.1038/s41586-019-1506-7 10.1371/journal.pgen.1006643 10.1073/pnas.1507125112 10.1007/s00415-019-09363-4 10.1016/j.ajhg.2017.08.012 10.1093/hmg/ddn288 10.1101/2020.01.29.924266 10.1101/447367 |
| ContentType | Journal Article |
| Contributor | Shringarpure, Suyash Aslibekyan, Stella Wang, Xin Lane, Vanessa Shelton, Janie F Tian, Chao O'Connell, Jared Filshtein, Teresa Hicks, Barry Luff, Marie K Shastri, Anjali J Kukar, Katelyn Das, Sayantan Coker, Daniella Tran, Vinh Schumacher, Morgan Wilton, Peter Cameron, Briana Micheletti, Steven J Jewett, Ethan M Jiang, Yunxuan Tung, Joyce Y Babalola, Elizabeth Poznik, G David Bielenberg, Jessica Fletez-Brant, Kipper Elson, Sarah L Nandakumar, Priyanka Wang, Wei Partida, Gabriel Cuellar Hinds, David A Bell, Robert K Moreno, Meghan E McIntyre, Matthew H McCreight, Jey C Lowe, Maya McManus, Kimberly F Bryc, Katarzyna Agee, Michelle Huber, Karen E Kleinman, Aaron Petrakovitz, Aaron A Freyman, Will Shi, Jingchunzi Bullis, Emily Noblin, Elizabeth S Mountain, Joanna L Dhamija, Devika Weldon, Catherine H Lin, Keng-Han Mozaffari, Sahar V Fontanillas, Pierre Gandhi, Pooja M |
| Contributor_xml | – sequence: 1 givenname: Michelle surname: Agee fullname: Agee, Michelle – sequence: 2 givenname: Stella surname: Aslibekyan fullname: Aslibekyan, Stella – sequence: 3 givenname: Elizabeth surname: Babalola fullname: Babalola, Elizabeth – sequence: 4 givenname: Robert K surname: Bell fullname: Bell, Robert K – sequence: 5 givenname: Jessica surname: Bielenberg fullname: Bielenberg, Jessica – sequence: 6 givenname: Katarzyna surname: Bryc fullname: Bryc, Katarzyna – sequence: 7 givenname: Emily surname: Bullis fullname: Bullis, Emily – sequence: 8 givenname: Briana surname: Cameron fullname: Cameron, Briana – sequence: 9 givenname: Daniella surname: Coker fullname: Coker, Daniella – sequence: 10 givenname: Gabriel Cuellar surname: Partida fullname: Partida, Gabriel Cuellar – sequence: 11 givenname: Devika surname: Dhamija fullname: Dhamija, Devika – sequence: 12 givenname: Sayantan surname: Das fullname: Das, Sayantan – sequence: 13 givenname: Sarah L surname: Elson fullname: Elson, Sarah L – sequence: 14 givenname: Teresa surname: Filshtein fullname: Filshtein, Teresa – sequence: 15 givenname: Kipper surname: Fletez-Brant fullname: Fletez-Brant, Kipper – sequence: 16 givenname: Pierre surname: Fontanillas fullname: Fontanillas, Pierre – sequence: 17 givenname: Will surname: Freyman fullname: Freyman, Will – sequence: 18 givenname: Pooja M surname: Gandhi fullname: Gandhi, Pooja M – sequence: 19 givenname: Barry surname: Hicks fullname: Hicks, Barry – sequence: 20 givenname: David A surname: Hinds fullname: Hinds, David A – sequence: 21 givenname: Karen E surname: Huber fullname: Huber, Karen E – sequence: 22 givenname: Ethan M surname: Jewett fullname: Jewett, Ethan M – sequence: 23 givenname: Yunxuan surname: Jiang fullname: Jiang, Yunxuan – sequence: 24 givenname: Aaron surname: Kleinman fullname: Kleinman, Aaron – sequence: 25 givenname: Katelyn surname: Kukar fullname: Kukar, Katelyn – sequence: 26 givenname: Vanessa surname: Lane fullname: Lane, Vanessa – sequence: 27 givenname: Keng-Han surname: Lin fullname: Lin, Keng-Han – sequence: 28 givenname: Maya surname: Lowe fullname: Lowe, Maya – sequence: 29 givenname: Marie K surname: Luff fullname: Luff, Marie K – sequence: 30 givenname: Jey C surname: McCreight fullname: McCreight, Jey C – sequence: 31 givenname: Matthew H surname: McIntyre fullname: McIntyre, Matthew H – sequence: 32 givenname: Kimberly F surname: McManus fullname: McManus, Kimberly F – sequence: 33 givenname: Steven J surname: Micheletti fullname: Micheletti, Steven J – sequence: 34 givenname: Meghan E surname: Moreno fullname: Moreno, Meghan E – sequence: 35 givenname: Joanna L surname: Mountain fullname: Mountain, Joanna L – sequence: 36 givenname: Sahar V surname: Mozaffari fullname: Mozaffari, Sahar V – sequence: 37 givenname: Priyanka surname: Nandakumar fullname: Nandakumar, Priyanka – sequence: 38 givenname: Elizabeth S surname: Noblin fullname: Noblin, Elizabeth S – sequence: 39 givenname: Jared surname: O'Connell fullname: O'Connell, Jared – sequence: 40 givenname: Aaron A surname: Petrakovitz fullname: Petrakovitz, Aaron A – sequence: 41 givenname: G David surname: Poznik fullname: Poznik, G David – sequence: 42 givenname: Morgan surname: Schumacher fullname: Schumacher, Morgan – sequence: 43 givenname: Anjali J surname: Shastri fullname: Shastri, Anjali J – sequence: 44 givenname: Janie F surname: Shelton fullname: Shelton, Janie F – sequence: 45 givenname: Jingchunzi surname: Shi fullname: Shi, Jingchunzi – sequence: 46 givenname: Suyash surname: Shringarpure fullname: Shringarpure, Suyash – sequence: 47 givenname: Chao surname: Tian fullname: Tian, Chao – sequence: 48 givenname: Vinh surname: Tran fullname: Tran, Vinh – sequence: 49 givenname: Joyce Y surname: Tung fullname: Tung, Joyce Y – sequence: 50 givenname: Xin surname: Wang fullname: Wang, Xin – sequence: 51 givenname: Wei surname: Wang fullname: Wang, Wei – sequence: 52 givenname: Catherine H surname: Weldon fullname: Weldon, Catherine H – sequence: 53 givenname: Peter surname: Wilton fullname: Wilton, Peter |
| Copyright | The Author(s), under exclusive licence to Springer Nature America, Inc. 2021. corrected publication 2021, 2022 2021. The Author(s), under exclusive licence to Springer Nature America, Inc. COPYRIGHT 2021 Nature Publishing Group |
| Copyright_xml | – notice: The Author(s), under exclusive licence to Springer Nature America, Inc. 2021. corrected publication 2021, 2022 – notice: 2021. The Author(s), under exclusive licence to Springer Nature America, Inc. – notice: COPYRIGHT 2021 Nature Publishing Group |
| CorporateAuthor | 23andMe Research Team |
| CorporateAuthor_xml | – name: 23andMe Research Team |
| DBID | AAYXX CITATION CGR CUY CVF ECM EIF NPM IOV ISR 7X8 5PM ADTPV AOWAS D8X F1U D8T ZZAVC |
| DOI | 10.1038/s41588-021-00921-z |
| DatabaseName | CrossRef Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed Gale In Context: Opposing Viewpoints Gale In Context: Science MEDLINE - Academic PubMed Central (Full Participant titles) SwePub SwePub Articles SWEPUB Högskolan i Jönköping SWEPUB Göteborgs universitet SWEPUB Freely available online SwePub Articles full text |
| DatabaseTitle | CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) MEDLINE - Academic |
| DatabaseTitleList | MEDLINE MEDLINE - Academic |
| Database_xml | – sequence: 1 dbid: NPM name: PubMed url: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 2 dbid: 7X8 name: MEDLINE - Academic url: https://search.proquest.com/medline sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Agriculture Biology |
| EISSN | 1546-1718 |
| EndPage | 1282 |
| ExternalDocumentID | oai_swepub_ki_se_459224 oai_gup_ub_gu_se_310534 oai_DiVA_org_hj_54690 PMC10243600 A674608901 34493870 10_1038_s41588_021_00921_z |
| Genre | Research Support, Non-U.S. Gov't Journal Article Research Support, N.I.H., Extramural |
| GeographicLocations | Sweden |
| GeographicLocations_xml | – name: Sweden |
| GrantInformation_xml | – fundername: National Institutes of Health (NIH) including RF1AG058068, R01AG060470, R01AG059329, R01AG050595, and R01AG046938. – fundername: Swedish Research Council (2017-00915) and the Swedish state under the agreement between the Swedish government and the County Councils, the ALF-agreement (ALFGBG-715986) – fundername: NWO VICI (453-14-005), NWO Gravitation: BRAINSCAPES: A Roadmap from Neurogenetics to Neurobiology (Grant No. 024.004.012), European Research Council advanced grant (Grant No, ERC-2018-AdG GWAS2FUNC 834057), Netherlands Scientific Organization (NWO: 480-05-003) – fundername: Swedish Research Council for Health, Working Life and Welfare (2018-01201) and the National Institutes of Health R01AG060470. – fundername: Swedish Research Council (2018-02532), the European Research Council (681712), Swedish State Support for Clinical Research (ALFGBG-720931), the Alzheimer Drug Discovery Foundation (ADDF), USA (201809-2016862), the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 860197 (MIRIADE), and the UK Dementia Research Institute at UCL. – fundername: Swedish government and the county councils, the ALF-agreement (ALF 716681), the Swedish Research Council (no 11267, 825-2012-5041, 2013-8717, 2015-02830, 2017-00639, 2019-01096), Swedish Research Council for Health, Working Life and Welfare (no 2001-2646, 2001-2835, 2001-2849, 2003-0234, 2004-0150, 2005-0762, 2006-0020, 2008-1229, 2008-1210, 2012-1138, 2004-0145, 2006-0596, 2008-1111, 2010-0870, 2013-1202, 2013-2300, 2013-2496), Swedish Brain Power, Hjärnfonden, Sweden (FO2016-0214, FO2018-0214, FO2019- 0163), the Alzheimer’s Association Zenith Award (ZEN-01-3151), the Alzheimer’s Association Stephanie B. Overstreet Scholars (IIRG-00-2159), the Alzheimer’s Association (IIRG-03-6168, IIRG-09-131338) and the Bank of Sweden Tercentenary Foundation. – fundername: NIH Grant Number U24DA041123 – fundername: Swedish Research Council 2016-01590 – fundername: Wellcome Trust – fundername: NIA NIH HHS grantid: U24 AG072122 – fundername: NIA NIH HHS grantid: U01 AG016976 – fundername: NINDS NIH HHS grantid: R01 NS017950 – fundername: NIA NIH HHS grantid: U24 AG021886 – fundername: NIA NIH HHS grantid: R01 AG033193 – fundername: NHLBI NIH HHS grantid: R01 HL105756 – fundername: NIA NIH HHS grantid: U01 AG032984 – fundername: Medical Research Council grantid: 503480 – fundername: NIA NIH HHS grantid: R01 AG008724 |
| GroupedDBID | --- -DZ -~X .55 .GJ 0R~ 123 29M 2FS 36B 39C 3O- 3V. 4.4 53G 5BI 5M7 5RE 5S5 70F 7X7 85S 88A 88E 8AO 8C1 8FE 8FH 8FI 8FJ 8G5 8R4 8R5 AAEEF AAHBH AARCD AAYOK AAYZH AAZLF ABAWZ ABCQX ABDBF ABDPE ABEFU ABJNI ABLJU ABOCM ABTAH ABUWG ACBWK ACGFO ACGFS ACIWK ACMJI ACNCT ACPRK ACUHS ADBBV ADFRT AENEX AEUYN AFBBN AFFNX AFKRA AFRAH AFSHS AGAYW AGCDD AGHTU AHBCP AHMBA AHOSX AHSBF AIBTJ ALFFA ALIPV ALMA_UNASSIGNED_HOLDINGS AMTXH ARMCB ASPBG AVWKF AXYYD AZFZN AZQEC B0M BBNVY BENPR BHPHI BKKNO BPHCQ BVXVI CCPQU CS3 DB5 DU5 DWQXO EAD EAP EBC EBD EBS EE. EJD EMB EMK EMOBN EPL ESX EXGXG F5P FEDTE FQGFK FSGXE FYUFA GNUQQ GUQSH GX1 HCIFZ HMCUK HVGLF HZ~ IAO IH2 IHR INH INR IOV ISR ITC L7B LGEZI LK8 LOTEE M0L M1P M2O M7P MVM N9A NADUK NNMJJ NXXTH ODYON P2P PKN PQQKQ PROAC PSQYO Q2X RIG RNS RNT RNTTT RVV SHXYY SIXXV SJN SNYQT SOJ SV3 TAOOD TBHMF TDRGL TN5 TSG TUS UKHRP VQA X7M XJT XOL Y6R YHZ ZGI ZXP ZY4 ~8M ~KM AAYXX ABFSG ACSTC AETEA AEZWR AFANA AFFHD AFHIU AGSTI AHWEU AIEIU AIXLP ALPWD ATHPR CITATION PHGZM PHGZT PJZUB PPXIY PQGLB CGR CUY CVF ECM EIF NFIDA NPM 7X8 PUEGO 5PM ADTPV AOWAS D8X F1U D8T ZZAVC |
| ID | FETCH-LOGICAL-c694t-a7bada3abca5128b5e95dd18362e349c83b4a2ae9d647bd0e8063420d6775b573 |
| ISICitedReferencesCount | 613 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000694666000007&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 1061-4036 1546-1718 |
| IngestDate | Tue Nov 25 03:38:07 EST 2025 Tue Nov 04 16:42:31 EST 2025 Tue Nov 04 16:02:38 EST 2025 Tue Nov 04 02:07:03 EST 2025 Thu Oct 02 17:20:38 EDT 2025 Sat Nov 29 13:02:29 EST 2025 Sat Nov 29 10:18:47 EST 2025 Wed Nov 26 09:25:20 EST 2025 Wed Nov 26 09:57:13 EST 2025 Mon Jul 21 06:03:10 EDT 2025 Sat Nov 29 03:07:11 EST 2025 Tue Nov 18 22:18:31 EST 2025 Fri Feb 21 02:39:06 EST 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 9 |
| Language | English |
| License | 2021. The Author(s), under exclusive licence to Springer Nature America, Inc. |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-c694t-a7bada3abca5128b5e95dd18362e349c83b4a2ae9d647bd0e8063420d6775b573 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Author Contributions Statement These authors contributed equally to this work DP and OAA conceived of the study. DPW performed the meta-analysis and follow-up analyses. IEJ, JES, DP and OAA supervised analyses. IEJ and JES generated the UKB data. ShBa and AAS helped with the study design. AHS, CW, JBN, LGF, MEG, KH, TWM, MBJ contributed to the organization of the HUNT data. BSW, AEM, OKD, GB, IB, ES, SiBo, LFT, WZ, JZ, SBS, GS, and LMP contributed to the methods and analysis of the HUNT data. DA, ES, OAA, AR and GS collected and analyzed the DemGene data. KB, AZ, InSk, MW, and HZ collected and analyzed the Gothenburg H70 Birth Cohort Studies and Clinical AD Sweden data. AH contributed to the IGAP and ANMerge data. PP provided ANMerge data. DH provided power estimates. RD, LV, 23andMe Research Team, JMS, LKD, NLP, CAR, IKK, SM, HS, ST, PVJ, JS, SK, LA, PS, InSa, IU, SD, TF, SR, and KS analyzed and provided data. DPW wrote the first draft of the manuscript. All authors critically reviewed the paper. |
| ORCID | 0000-0002-7467-250X 0000-0001-5645-4966 0000-0002-0476-4134 0000-0001-7582-2365 0000-0003-4224-9245 0000-0002-9984-9797 0000-0002-2553-6974 0000-0002-2034-8341 0000-0002-2110-1690 0000-0003-3622-835X 0000-0002-9331-6666 0000-0002-5565-6678 0000-0002-7712-930X 0000-0003-3377-4806 0000-0003-0548-2486 0000-0003-1676-864X 0000-0002-8448-983X 0000-0002-8140-8061 0000-0001-5721-0154 0000-0001-7719-0859 0000-0002-2443-7923 0000-0002-9346-3498 0000-0003-4171-8919 0000-0001-6669-3071 0000-0001-9540-3256 0000-0001-5143-2282 0000-0001-6511-8219 0000-0003-3224-7983 0000-0002-4461-3568 0000-0002-7897-9808 0000-0001-6502-7173 0000-0002-7182-8417 |
| OpenAccessLink | http://kipublications.ki.se/Default.aspx?queryparsed=id:147752070 |
| PMID | 34493870 |
| PQID | 2570373846 |
| PQPubID | 23479 |
| PageCount | 7 |
| ParticipantIDs | swepub_primary_oai_swepub_ki_se_459224 swepub_primary_oai_gup_ub_gu_se_310534 swepub_primary_oai_DiVA_org_hj_54690 pubmedcentral_primary_oai_pubmedcentral_nih_gov_10243600 proquest_miscellaneous_2570373846 gale_infotracmisc_A674608901 gale_infotracacademiconefile_A674608901 gale_incontextgauss_ISR_A674608901 gale_incontextgauss_IOV_A674608901 pubmed_primary_34493870 crossref_citationtrail_10_1038_s41588_021_00921_z crossref_primary_10_1038_s41588_021_00921_z springer_journals_10_1038_s41588_021_00921_z |
| PublicationCentury | 2000 |
| PublicationDate | 2021-09-01 |
| PublicationDateYYYYMMDD | 2021-09-01 |
| PublicationDate_xml | – month: 09 year: 2021 text: 2021-09-01 day: 01 |
| PublicationDecade | 2020 |
| PublicationPlace | New York |
| PublicationPlace_xml | – name: New York – name: United States |
| PublicationTitle | Nature genetics |
| PublicationTitleAbbrev | Nat Genet |
| PublicationTitleAlternate | Nat Genet |
| PublicationYear | 2021 |
| Publisher | Nature Publishing Group US Nature Publishing Group |
| Publisher_xml | – name: Nature Publishing Group US – name: Nature Publishing Group |
| References | Schwabe, Srinivasan, Rhinn (CR36) 2020; 143 Chen (CR64) 2016; 167 de Bakker (CR11) 2008; 17 Liu, Erlich, Pickrell (CR35) 2017; 49 Han (CR60) 2018; 172 Zheng (CR61) 2017; 8 Yao, O’Connor, Price, Gusev (CR37) 2020; 52 Liu, Xie, Meng, Kang (CR45) 2019; 4 Wallace (CR83) 2020; 16 Pruim (CR51) 2010; 26 Oláh (CR27) 2011; 286 Liberzon (CR52) 2015; 1 Jaffe (CR65) 2018; 21 Naranbhai (CR72) 2015; 6 Cho (CR20) 2019; 20 Gatz (CR4) 1997; 52 Li (CR22) 2018; 8 Auton (CR43) 2015; 526 CR77 Bulik-Sullivan (CR9) 2015; 47 Giambartolomei (CR18) 2014; 10 Marques-Coelho (CR23) 2021; 7 Nédélec (CR73) 2016; 167 Lambert (CR10) 2013; 45 Holland (CR7) 2021; 217 Lepik (CR71) 2017; 13 Fromer (CR81) 2016; 19 Bulik-Sullivan (CR12) 2015; 47 de Leeuw, Stringer, Dekkers, Heskes, Posthuma (CR53) 2018; 9 Kundaje (CR89) 2015; 518 Lawrence (CR90) 2013; 9 Jun (CR48) 2016; 21 Fairfax (CR67) 2012; 44 Quach (CR74) 2016; 167 Gatz (CR5) 2006; 63 Kasela (CR70) 2017; 13 Watanabe, Taskesen, van Bochoven, Posthuma (CR42) 2017; 8 Habib (CR55) 2017; 14 CR88 Wang, Li, Hakonarson (CR91) 2010; 38 Kuhn, Haussler, Kent (CR40) 2013; 14 CR84 Olah (CR24) 2018; 9 O’Leary (CR92) 2016; 44 Hochgerner (CR59) 2017; 7 Winkler (CR39) 2014; 9 Jansen (CR8) 2019; 51 Nam (CR26) 2017; 7 Zhernakova (CR79) 2017; 49 Ng (CR80) 2017; 20 Cao (CR34) 2018; 10 Wishart (CR17) 2018; 46 Ramasamy (CR82) 2014; 17 de Leeuw, Mooij, Heskes, Posthuma (CR15) 2015; 11 Wang, Sarkar, Carbonetto, Stephens (CR86) 2020; 82 Sudlow (CR44) 2015; 12 Marioni (CR46) 2018; 8 Bacigalupo (CR1) 2018; 66 Li (CR30) 2020; 139 DeTure, Dickson (CR3) 2019; 14 Zhang (CR33) 2017; 102 Zheng (CR13) 2016; 33 Kunkle (CR14) 2019; 51 Buil (CR76) 2015; 47 Ciani, Benussi, Bonvicini, Ghidoni (CR29) 2019; 13 Enge (CR58) 2017; 171 Zhang (CR6) 2020; 11 Darmanis (CR57) 2015; 112 CR93 Ionita-Laza, Lee, Makarov, Buxbaum, Lin (CR41) 2013; 92 Mazaheri (CR28) 2014; 5 Winblad (CR2) 2016; 15 Fairfax (CR68) 2014; 343 Corces (CR38) 2020; 52 Benner (CR87) 2017; 101 Schwartzentruber (CR75) 2018; 50 Shamilov, Aneskievich (CR19) 2018; 2018 Hodge (CR54) 2019; 573 Zhong (CR56) 2018; 555 Wang (CR62) 2018; 362 Nho (CR21) 2017; 10 Desikan (CR47) 2017; 14 Gutierrez-Arcelus (CR69) 2013; 2 de Rojas (CR49) 2021; 12 Prodan (CR31) 2011; 76 Schwartzentruber (CR50) 2021; 53 Westra (CR78) 2013; 45 Greaves, Rohrer (CR32) 2019; 266 Young (CR85) 2021; 53 Watanabe, Umićević Mirkov, de Leeuw, van den Heuvel, Posthuma (CR16) 2019; 10 Hickman (CR25) 2013; 16 Alasoo (CR63) 2018; 50 Momozawa (CR66) 2018; 9 H Hochgerner (921_CR59) 2017; 7 S Darmanis (921_CR57) 2015; 112 X Li (921_CR22) 2018; 8 M Gutierrez-Arcelus (921_CR69) 2013; 2 I Ionita-Laza (921_CR41) 2013; 92 CV Greaves (921_CR32) 2019; 266 K Alasoo (921_CR63) 2018; 50 RD Hodge (921_CR54) 2019; 573 J Oláh (921_CR27) 2011; 286 M Enge (921_CR58) 2017; 171 TW Winkler (921_CR39) 2014; 9 A Ramasamy (921_CR82) 2014; 17 A Liberzon (921_CR52) 2015; 1 I de Rojas (921_CR49) 2021; 12 CI Prodan (921_CR31) 2011; 76 K Watanabe (921_CR42) 2017; 8 JZ Liu (921_CR35) 2017; 49 A Kundaje (921_CR89) 2015; 518 K Wang (921_CR91) 2010; 38 921_CR77 MR Corces (921_CR38) 2020; 52 B Winblad (921_CR2) 2016; 15 M Lawrence (921_CR90) 2013; 9 M Olah (921_CR24) 2018; 9 AMH Young (921_CR85) 2021; 53 MA DeTure (921_CR3) 2019; 14 K Watanabe (921_CR16) 2019; 10 M Ciani (921_CR29) 2019; 13 M Fromer (921_CR81) 2016; 19 RM Kuhn (921_CR40) 2013; 14 T Schwabe (921_CR36) 2020; 143 S Zhong (921_CR56) 2018; 555 BK Bulik-Sullivan (921_CR9) 2015; 47 C Giambartolomei (921_CR18) 2014; 10 DW Yao (921_CR37) 2020; 52 N Habib (921_CR55) 2017; 14 GXY Zheng (921_CR61) 2017; 8 PIW de Bakker (921_CR11) 2008; 17 J Zheng (921_CR13) 2016; 33 J-C Lambert (921_CR10) 2013; 45 H Quach (921_CR74) 2016; 167 D Wang (921_CR62) 2018; 362 V Naranbhai (921_CR72) 2015; 6 IE Jansen (921_CR8) 2019; 51 B Ng (921_CR80) 2017; 20 KN Nam (921_CR26) 2017; 7 RE Marioni (921_CR46) 2018; 8 921_CR84 K Lepik (921_CR71) 2017; 13 G Jun (921_CR48) 2016; 21 J Schwartzentruber (921_CR50) 2021; 53 921_CR88 M Gatz (921_CR4) 1997; 52 RS Desikan (921_CR47) 2017; 14 BP Fairfax (921_CR68) 2014; 343 BP Fairfax (921_CR67) 2012; 44 Z Li (921_CR30) 2020; 139 CA de Leeuw (921_CR15) 2015; 11 A Auton (921_CR43) 2015; 526 R Shamilov (921_CR19) 2018; 2018 CE Cho (921_CR20) 2019; 20 K Nho (921_CR21) 2017; 10 C Benner (921_CR87) 2017; 101 A Buil (921_CR76) 2015; 47 BW Kunkle (921_CR14) 2019; 51 Y Momozawa (921_CR66) 2018; 9 Q Zhang (921_CR6) 2020; 11 DV Zhernakova (921_CR79) 2017; 49 921_CR93 DS Wishart (921_CR17) 2018; 46 H-J Westra (921_CR78) 2013; 45 D Holland (921_CR7) 2021; 217 J Zhang (921_CR33) 2017; 102 S Kasela (921_CR70) 2017; 13 J Schwartzentruber (921_CR75) 2018; 50 CA de Leeuw (921_CR53) 2018; 9 M Gatz (921_CR5) 2006; 63 B Bulik-Sullivan (921_CR12) 2015; 47 L Chen (921_CR64) 2016; 167 C Sudlow (921_CR44) 2015; 12 Q Cao (921_CR34) 2018; 10 X Han (921_CR60) 2018; 172 G Wang (921_CR86) 2020; 82 I Bacigalupo (921_CR1) 2018; 66 SE Hickman (921_CR25) 2013; 16 NA O’Leary (921_CR92) 2016; 44 AE Jaffe (921_CR65) 2018; 21 F Mazaheri (921_CR28) 2014; 5 C Wallace (921_CR83) 2020; 16 D Marques-Coelho (921_CR23) 2021; 7 Y Nédélec (921_CR73) 2016; 167 RJ Pruim (921_CR51) 2010; 26 P-P Liu (921_CR45) 2019; 4 34773122 - Nat Genet. 2021 Dec;53(12):1722. doi: 10.1038/s41588-021-00977-x. 35726068 - Nat Genet. 2022 Jul;54(7):1062. doi: 10.1038/s41588-022-01126-8. 34599319 - Nat Rev Neurol. 2021 Nov;17(11):659. doi: 10.1038/s41582-021-00575-9. |
| References_xml | – volume: 53 start-page: 392 year: 2021 end-page: 402 ident: CR50 article-title: Genome-wide meta-analysis, fine-mapping and integrative prioritization implicate new Alzheimer’s disease risk genes publication-title: Nat. Genet. doi: 10.1038/s41588-020-00776-w – volume: 1 start-page: 417 year: 2015 end-page: 425 ident: CR52 article-title: The molecular signatures database (MSigDB) hallmark gene set collection publication-title: Cell Syst. doi: 10.1016/j.cels.2015.12.004 – volume: 9 year: 2018 ident: CR53 article-title: Conditional and interaction gene-set analysis reveals novel functional pathways for blood pressure publication-title: Nat. Commun. doi: 10.1038/s41467-018-06022-6 – volume: 167 start-page: 1398 year: 2016 end-page: 1414.e24 ident: CR64 article-title: Genetic drivers of epigenetic and transcriptional variation in human immune cells publication-title: Cell doi: 10.1016/j.cell.2016.10.026 – volume: 49 start-page: 139 year: 2017 end-page: 145 ident: CR79 article-title: Identification of context-dependent expression quantitative trait loci in whole blood publication-title: Nat. Genet. doi: 10.1038/ng.3737 – volume: 286 start-page: 34088 year: 2011 end-page: 34100 ident: CR27 article-title: Interactions of pathological hallmark proteins: tubulin polymerization promoting protein/p25, beta-amyloid, and alpha-synuclein publication-title: J. Biol. Chem. doi: 10.1074/jbc.M111.243907 – ident: CR93 – volume: 7 year: 2017 ident: CR26 article-title: Effect of high fat diet on phenotype, brain transcriptome and lipidome in Alzheimer’s model mice publication-title: Sci. Rep. doi: 10.1038/s41598-017-04412-2 – volume: 46 start-page: D1074 year: 2018 end-page: D1082 ident: CR17 article-title: DrugBank 5.0: a major update to the DrugBank database for 2018 publication-title: Nucleic Acids Res. doi: 10.1093/nar/gkx1037 – volume: 10 year: 2019 ident: CR16 article-title: Genetic mapping of cell type specificity for complex traits publication-title: Nat. Commun. doi: 10.1038/s41467-019-11181-1 – volume: 8 year: 2018 ident: CR46 article-title: GWAS on family history of Alzheimer’s disease publication-title: Transl. Psychiatry doi: 10.1038/s41398-018-0150-6 – volume: 20 start-page: 1418 year: 2017 end-page: 1426 ident: CR80 article-title: An xQTL map integrates the genetic architecture of the human brain’s transcriptome and epigenome publication-title: Nat. Neurosci. doi: 10.1038/nn.4632 – volume: 16 start-page: e1008720 year: 2020 ident: CR83 article-title: Eliciting priors and relaxing the single causal variant assumption in colocalisation analyses publication-title: PLoS Genet. doi: 10.1371/journal.pgen.1008720 – volume: 66 start-page: 1471 year: 2018 end-page: 1481 ident: CR1 article-title: A systematic review and meta-analysis on the prevalence of dementia in Europe: estimates from the highest-quality studies adopting the DSM IV diagnostic criteria publication-title: J. Alzheimers Dis. doi: 10.3233/JAD-180416 – volume: 52 start-page: 626 year: 2020 end-page: 633 ident: CR37 article-title: Quantifying genetic effects on disease mediated by assayed gene expression levels publication-title: Nat. Genet. doi: 10.1038/s41588-020-0625-2 – volume: 92 start-page: 841 year: 2013 end-page: 853 ident: CR41 article-title: Sequence kernel association tests for the combined effect of rare and common variants publication-title: Am. J. Hum. Genet. doi: 10.1016/j.ajhg.2013.04.015 – volume: 47 start-page: 1236 year: 2015 end-page: 1241 ident: CR12 article-title: An atlas of genetic correlations across human diseases and traits publication-title: Nat. Genet. doi: 10.1038/ng.3406 – volume: 21 start-page: 108 year: 2016 end-page: 117 ident: CR48 article-title: A novel Alzheimer disease locus located near the gene encoding tau protein publication-title: Mol. Psychiatry doi: 10.1038/mp.2015.23 – volume: 16 start-page: 1896 year: 2013 end-page: 1905 ident: CR25 article-title: The microglial sensome revealed by direct RNA sequencing publication-title: Nat. Neurosci. doi: 10.1038/nn.3554 – ident: CR77 – volume: 526 start-page: 68 year: 2015 end-page: 74 ident: CR43 article-title: A global reference for human genetic variation publication-title: Nature doi: 10.1038/nature15393 – ident: CR84 – volume: 9 start-page: 1192 year: 2014 end-page: 1212 ident: CR39 article-title: Quality control and conduct of genome-wide association meta-analyses publication-title: Nat. Protoc. doi: 10.1038/nprot.2014.071 – volume: 38 start-page: e164 year: 2010 ident: CR91 article-title: ANNOVAR: functional annotation of genetic variants from high-throughput sequencing data publication-title: Nucleic Acids Res. doi: 10.1093/nar/gkq603 – volume: 44 start-page: 502 year: 2012 end-page: 510 ident: CR67 article-title: Genetics of gene expression in primary immune cells identifies cell type-specific master regulators and roles of HLA alleles publication-title: Nat. Genet. doi: 10.1038/ng.2205 – volume: 9 year: 2018 ident: CR24 article-title: A transcriptomic atlas of aged human microglia publication-title: Nat. Commun. doi: 10.1038/s41467-018-02926-5 – volume: 7 year: 2017 ident: CR59 article-title: STRT-seq-2i: dual-index 5′ single cell and nucleus RNA-seq on an addressable microwell array publication-title: Sci. Rep. doi: 10.1038/s41598-017-16546-4 – volume: 50 start-page: 54 year: 2018 end-page: 61 ident: CR75 article-title: Molecular and functional variation in iPSC-derived sensory neurons publication-title: Nat. Genet. doi: 10.1038/s41588-017-0005-8 – volume: 5 year: 2014 ident: CR28 article-title: Distinct roles for BAI1 and TIM-4 in the engulfment of dying neurons by microglia publication-title: Nat. Commun. doi: 10.1038/ncomms5046 – volume: 82 start-page: 1273 year: 2020 end-page: 1300 ident: CR86 article-title: A simple new approach to variable selection in regression, with application to genetic fine mapping publication-title: J. R. Stat. Soc. B Stat. Methodol. doi: 10.1111/rssb.12388 – ident: CR88 – volume: 63 start-page: 168 year: 2006 end-page: 174 ident: CR5 article-title: Role of genes and environments for explaining Alzheimer disease publication-title: Arch. Gen. Psychiatry doi: 10.1001/archpsyc.63.2.168 – volume: 26 start-page: 2336 year: 2010 end-page: 2337 ident: CR51 article-title: LocusZoom: regional visualization of genome-wide association scan results publication-title: Bioinformatics doi: 10.1093/bioinformatics/btq419 – volume: 139 start-page: 45 year: 2020 end-page: 61 ident: CR30 article-title: The FTLD-protective variant, rs1990621, is also associated with increased neuronal proportion publication-title: Acta Neuropathol. doi: 10.1007/s00401-019-02066-0 – volume: 362 start-page: eaat8464 year: 2018 ident: CR62 article-title: Comprehensive functional genomic resource and integrative model for the human brain publication-title: Science doi: 10.1126/science.aat8464 – volume: 14 start-page: 32 year: 2019 ident: CR3 article-title: The neuropathological diagnosis of Alzheimer’s disease publication-title: Mol. Neurodegener. doi: 10.1186/s13024-019-0333-5 – volume: 51 start-page: 414 year: 2019 end-page: 430 ident: CR14 article-title: Genetic meta-analysis of diagnosed Alzheimer’s disease identifies new risk loci and implicates Aβ, tau, immunity and lipid processing publication-title: Nat. Genet. doi: 10.1038/s41588-019-0358-2 – volume: 10 start-page: 1213 year: 2018 end-page: 1221 ident: CR34 article-title: Inhibiting amyloid-β cytotoxicity through its interaction with the cell surface receptor LilrB2 by structure-based design publication-title: Nat. Chem. doi: 10.1038/s41557-018-0147-z – volume: 47 start-page: 291 year: 2015 end-page: 295 ident: CR9 article-title: LD Score regression distinguishes confounding from polygenicity in genome-wide association studies publication-title: Nat. Genet. doi: 10.1038/ng.3211 – volume: 47 start-page: 88 year: 2015 end-page: 91 ident: CR76 article-title: Gene-gene and gene-environment interactions detected by transcriptome sequence analysis in twins publication-title: Nat. Genet. doi: 10.1038/ng.3162 – volume: 11 year: 2020 ident: CR6 article-title: Risk prediction of late-onset Alzheimer’s disease implies an oligogenic architecture publication-title: Nat. Commun. doi: 10.1038/s41467-020-18534-1 – volume: 52 start-page: 1158 year: 2020 end-page: 1168 ident: CR38 article-title: Single-cell epigenomic analyses implicate candidate causal variants at inherited risk loci for Alzheimer’s and Parkinson’s diseases publication-title: Nat. Genet. doi: 10.1038/s41588-020-00721-x – volume: 76 start-page: 247 year: 2011 end-page: 252 ident: CR31 article-title: Coated-platelet levels and progression from mild cognitive impairment to Alzheimer disease publication-title: Neurology doi: 10.1212/WNL.0b013e3182074bd2 – volume: 9 start-page: e1003118 year: 2013 ident: CR90 article-title: Software for computing and annotating genomic ranges publication-title: PLoS Comput. Biol. doi: 10.1371/journal.pcbi.1003118 – volume: 44 start-page: D733 year: 2016 end-page: D745 ident: CR92 article-title: Reference sequence (RefSeq) database at NCBI: current status, taxonomic expansion, and functional annotation publication-title: Nucleic Acids Res. doi: 10.1093/nar/gkv1189 – volume: 217 start-page: iyaa046 year: 2021 ident: CR7 article-title: The genetic architecture of human complex phenotypes is modulated by linkage disequilibrium and heterozygosity publication-title: Genetics doi: 10.1093/genetics/iyaa046 – volume: 9 year: 2018 ident: CR66 article-title: IBD risk loci are enriched in multigenic regulatory modules encompassing putative causative genes publication-title: Nat. Commun. doi: 10.1038/s41467-018-04365-8 – volume: 33 start-page: 272 year: 2016 end-page: 279 ident: CR13 article-title: LD Hub: a centralized database and web interface to perform LD score regression that maximizes the potential of summary level GWAS data for SNP heritability and genetic correlation analysis publication-title: Bioinformatics doi: 10.1093/bioinformatics/btw613 – volume: 13 start-page: e1005766 year: 2017 ident: CR71 article-title: C-reactive protein upregulates the whole blood expression of CD59—an integrative analysis publication-title: PLoS Comput. Biol. doi: 10.1371/journal.pcbi.1005766 – volume: 12 start-page: e1001779 year: 2015 ident: CR44 article-title: UK Biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age publication-title: PLoS Med. doi: 10.1371/journal.pmed.1001779 – volume: 2 start-page: e00523 year: 2013 ident: CR69 article-title: Passive and active DNA methylation and the interplay with genetic variation in gene regulation publication-title: Elife doi: 10.7554/eLife.00523 – volume: 7 start-page: 2 year: 2021 ident: CR23 article-title: Differential transcript usage unravels gene expression alterations in Alzheimer’s disease human brains publication-title: NPJ Aging Mech. Dis. doi: 10.1038/s41514-020-00052-5 – volume: 12 start-page: 3417 year: 2021 ident: CR49 article-title: Common variants in Alzheimer’s disease and risk stratification by polygenic risk scores publication-title: Nat. Commun. doi: 10.1038/s41467-021-22491-8 – volume: 13 start-page: 506 year: 2019 ident: CR29 article-title: Genome wide association study and next generation sequencing: a glimmer of light toward new possible horizons in frontotemporal dementia research publication-title: Front. Neurosci. doi: 10.3389/fnins.2019.00506 – volume: 143 start-page: 104962 year: 2020 ident: CR36 article-title: Shifting paradigms: the central role of microglia in Alzheimer’s disease publication-title: Neurobiol. Dis. doi: 10.1016/j.nbd.2020.104962 – volume: 19 start-page: 1442 year: 2016 end-page: 1453 ident: CR81 article-title: Gene expression elucidates functional impact of polygenic risk for schizophrenia publication-title: Nat. Neurosci. doi: 10.1038/nn.4399 – volume: 53 start-page: 861 year: 2021 end-page: 868 ident: CR85 article-title: A map of transcriptional heterogeneity and regulatory variation in human microglia publication-title: Nat. Genet. doi: 10.1038/s41588-021-00875-2 – volume: 172 start-page: 1091 year: 2018 end-page: 1107.e17 ident: CR60 article-title: Mapping the mouse cell atlas by Microwell-seq publication-title: Cell doi: 10.1016/j.cell.2018.02.001 – volume: 50 start-page: 424 year: 2018 end-page: 431 ident: CR63 article-title: Shared genetic effects on chromatin and gene expression indicate a role for enhancer priming in immune response publication-title: Nat. Genet. doi: 10.1038/s41588-018-0046-7 – volume: 49 start-page: 325 year: 2017 end-page: 331 ident: CR35 article-title: Case-control association mapping by proxy using family history of disease publication-title: Nat. Genet. doi: 10.1038/ng.3766 – volume: 102 start-page: 351 year: 2017 end-page: 360 ident: CR33 article-title: Leukocyte immunoglobulin-like receptors in human diseases: an overview of their distribution, function, and potential application for immunotherapies publication-title: J. Leukoc. Biol. doi: 10.1189/jlb.5MR1216-534R – volume: 51 start-page: 404 year: 2019 end-page: 413 ident: CR8 article-title: Genome-wide meta-analysis identifies new loci and functional pathways influencing Alzheimer’s disease risk publication-title: Nat. Genet. doi: 10.1038/s41588-018-0311-9 – volume: 45 start-page: 1452 year: 2013 end-page: 1458 ident: CR10 article-title: Meta-analysis of 74,046 individuals identifies 11 new susceptibility loci for Alzheimer’s disease publication-title: Nat. Genet. doi: 10.1038/ng.2802 – volume: 10 start-page: e1004383 year: 2014 ident: CR18 article-title: Bayesian test for colocalisation between pairs of genetic association studies using summary statistics publication-title: PLoS Genet. doi: 10.1371/journal.pgen.1004383 – volume: 167 start-page: 657 year: 2016 end-page: 669.e21 ident: CR73 article-title: Genetic ancestry and natural selection drive population differences in immune responses to pathogens publication-title: Cell doi: 10.1016/j.cell.2016.09.025 – volume: 555 start-page: 524 year: 2018 end-page: 528 ident: CR56 article-title: A single-cell RNA-seq survey of the developmental landscape of the human prefrontal cortex publication-title: Nature doi: 10.1038/nature25980 – volume: 45 start-page: 1238 year: 2013 end-page: 1243 ident: CR78 article-title: Systematic identification of trans eQTLs as putative drivers of known disease associations publication-title: Nat. Genet. doi: 10.1038/ng.2756 – volume: 14 start-page: 955 year: 2017 end-page: 958 ident: CR55 article-title: Massively parallel single-nucleus RNA-seq with DroNc-seq publication-title: Nat. Methods doi: 10.1038/nmeth.4407 – volume: 21 start-page: 1117 year: 2018 end-page: 1125 ident: CR65 article-title: Developmental and genetic regulation of the human cortex transcriptome illuminate schizophrenia pathogenesis publication-title: Nat. Neurosci. doi: 10.1038/s41593-018-0197-y – volume: 2018 start-page: 3491269 year: 2018 ident: CR19 article-title: TNIP1 in autoimmune diseases: regulation of Toll-like receptor signaling publication-title: J. Immunol. Res. doi: 10.1155/2018/3491269 – volume: 8 year: 2017 ident: CR61 article-title: Massively parallel digital transcriptional profiling of single cells publication-title: Nat. Commun. doi: 10.1038/ncomms14049 – volume: 171 start-page: 321 year: 2017 end-page: 330.e14 ident: CR58 article-title: Single-cell analysis of human pancreas reveals transcriptional signatures of aging and somatic mutation patterns publication-title: Cell doi: 10.1016/j.cell.2017.09.004 – volume: 343 start-page: 1246949 year: 2014 ident: CR68 article-title: Innate immune activity conditions the effect of regulatory variants upon monocyte gene expression publication-title: Science doi: 10.1126/science.1246949 – volume: 17 start-page: 1418 year: 2014 end-page: 1428 ident: CR82 article-title: Genetic variability in the regulation of gene expression in ten regions of the human brain publication-title: Nat. Neurosci. doi: 10.1038/nn.3801 – volume: 4 start-page: 29 year: 2019 ident: CR45 article-title: History and progress of hypotheses and clinical trials for Alzheimer’s disease publication-title: Signal Transduct. Target. Ther. doi: 10.1038/s41392-019-0063-8 – volume: 20 year: 2019 ident: CR20 article-title: A modular analysis of microglia gene expression, insights into the aged phenotype publication-title: BMC Genomics doi: 10.1186/s12864-019-5549-9 – volume: 52 start-page: M117 year: 1997 end-page: M125 ident: CR4 article-title: Heritability for Alzheimer’s disease: the study of dementia in Swedish twins publication-title: J. Gerontol. A Biol. Sci. Med. Sci. doi: 10.1093/gerona/52A.2.M117 – volume: 167 start-page: 643 year: 2016 end-page: 656.e17 ident: CR74 article-title: Genetic adaptation and Neandertal admixture shaped the immune system of human populations publication-title: Cell doi: 10.1016/j.cell.2016.09.024 – volume: 8 year: 2017 ident: CR42 article-title: Functional mapping and annotation of genetic associations with FUMA publication-title: Nat. Commun. doi: 10.1038/s41467-017-01261-5 – volume: 14 start-page: 144 year: 2013 end-page: 161 ident: CR40 article-title: The UCSC genome browser and associated tools publication-title: Brief. Bioinform. doi: 10.1093/bib/bbs038 – volume: 6 year: 2015 ident: CR72 article-title: Genomic modulators of gene expression in human neutrophils publication-title: Nat. Commun. doi: 10.1038/ncomms8545 – volume: 14 start-page: e1002258 year: 2017 ident: CR47 article-title: Genetic assessment of age-associated Alzheimer disease risk: development and validation of a polygenic hazard score publication-title: PLoS Med. doi: 10.1371/journal.pmed.1002258 – volume: 11 start-page: e1004219 year: 2015 ident: CR15 article-title: MAGMA: generalized gene-set analysis of GWAS data publication-title: PLoS Comput. Biol. doi: 10.1371/journal.pcbi.1004219 – volume: 10 year: 2017 ident: CR21 article-title: Association analysis of rare variants near the region with CSF and neuroimaging biomarkers of Alzheimer’s disease publication-title: BMC Med. Genomics doi: 10.1186/s12920-017-0267-0 – volume: 15 start-page: 455 year: 2016 end-page: 532 ident: CR2 article-title: Defeating Alzheimer’s disease and other dementias: a priority for European science and society publication-title: Lancet Neurol. doi: 10.1016/S1474-4422(16)00062-4 – volume: 8 year: 2018 ident: CR22 article-title: Systematic analysis and biomarker study for Alzheimer’s disease publication-title: Sci. Rep. doi: 10.1038/s41598-018-35789-3 – volume: 518 start-page: 317 year: 2015 end-page: 330 ident: CR89 article-title: Integrative analysis of 111 reference human epigenomes publication-title: Nature doi: 10.1038/nature14248 – volume: 573 start-page: 61 year: 2019 end-page: 68 ident: CR54 article-title: Conserved cell types with divergent features in human versus mouse cortex publication-title: Nature doi: 10.1038/s41586-019-1506-7 – volume: 13 start-page: e1006643 year: 2017 ident: CR70 article-title: Pathogenic implications for autoimmune mechanisms derived by comparative eQTL analysis of CD4 versus CD8 T cells publication-title: PLoS Genet. doi: 10.1371/journal.pgen.1006643 – volume: 112 start-page: 7285 year: 2015 end-page: 7290 ident: CR57 article-title: A survey of human brain transcriptome diversity at the single cell level publication-title: Proc. Natl Acad. Sci. USA doi: 10.1073/pnas.1507125112 – volume: 266 start-page: 2075 year: 2019 end-page: 2086 ident: CR32 article-title: An update on genetic frontotemporal dementia publication-title: J. Neurol. doi: 10.1007/s00415-019-09363-4 – volume: 101 start-page: 539 year: 2017 end-page: 551 ident: CR87 article-title: Prospects of fine-mapping trait-associated genomic regions by using summary statistics from genome-wide association studies publication-title: Am. J. Hum. Genet. doi: 10.1016/j.ajhg.2017.08.012 – volume: 17 start-page: R122 year: 2008 end-page: R128 ident: CR11 article-title: Practical aspects of imputation-driven meta-analysis of genome-wide association studies publication-title: Hum. Mol. Genet. doi: 10.1093/hmg/ddn288 – volume: 7 year: 2017 ident: 921_CR26 publication-title: Sci. Rep. doi: 10.1038/s41598-017-04412-2 – volume: 45 start-page: 1452 year: 2013 ident: 921_CR10 publication-title: Nat. Genet. doi: 10.1038/ng.2802 – volume: 555 start-page: 524 year: 2018 ident: 921_CR56 publication-title: Nature doi: 10.1038/nature25980 – volume: 13 start-page: e1006643 year: 2017 ident: 921_CR70 publication-title: PLoS Genet. doi: 10.1371/journal.pgen.1006643 – volume: 53 start-page: 861 year: 2021 ident: 921_CR85 publication-title: Nat. Genet. doi: 10.1038/s41588-021-00875-2 – ident: 921_CR88 – volume: 10 start-page: 1213 year: 2018 ident: 921_CR34 publication-title: Nat. Chem. doi: 10.1038/s41557-018-0147-z – volume: 526 start-page: 68 year: 2015 ident: 921_CR43 publication-title: Nature doi: 10.1038/nature15393 – volume: 4 start-page: 29 year: 2019 ident: 921_CR45 publication-title: Signal Transduct. Target. Ther. doi: 10.1038/s41392-019-0063-8 – volume: 21 start-page: 1117 year: 2018 ident: 921_CR65 publication-title: Nat. Neurosci. doi: 10.1038/s41593-018-0197-y – volume: 52 start-page: 1158 year: 2020 ident: 921_CR38 publication-title: Nat. Genet. doi: 10.1038/s41588-020-00721-x – volume: 143 start-page: 104962 year: 2020 ident: 921_CR36 publication-title: Neurobiol. Dis. doi: 10.1016/j.nbd.2020.104962 – volume: 8 year: 2017 ident: 921_CR61 publication-title: Nat. Commun. doi: 10.1038/ncomms14049 – volume: 50 start-page: 54 year: 2018 ident: 921_CR75 publication-title: Nat. Genet. doi: 10.1038/s41588-017-0005-8 – volume: 17 start-page: 1418 year: 2014 ident: 921_CR82 publication-title: Nat. Neurosci. doi: 10.1038/nn.3801 – volume: 16 start-page: e1008720 year: 2020 ident: 921_CR83 publication-title: PLoS Genet. doi: 10.1371/journal.pgen.1008720 – volume: 52 start-page: 626 year: 2020 ident: 921_CR37 publication-title: Nat. Genet. doi: 10.1038/s41588-020-0625-2 – volume: 92 start-page: 841 year: 2013 ident: 921_CR41 publication-title: Am. J. Hum. Genet. doi: 10.1016/j.ajhg.2013.04.015 – volume: 10 year: 2017 ident: 921_CR21 publication-title: BMC Med. Genomics doi: 10.1186/s12920-017-0267-0 – volume: 51 start-page: 414 year: 2019 ident: 921_CR14 publication-title: Nat. Genet. doi: 10.1038/s41588-019-0358-2 – volume: 13 start-page: e1005766 year: 2017 ident: 921_CR71 publication-title: PLoS Comput. Biol. doi: 10.1371/journal.pcbi.1005766 – volume: 6 year: 2015 ident: 921_CR72 publication-title: Nat. Commun. doi: 10.1038/ncomms8545 – volume: 20 year: 2019 ident: 921_CR20 publication-title: BMC Genomics doi: 10.1186/s12864-019-5549-9 – volume: 12 start-page: e1001779 year: 2015 ident: 921_CR44 publication-title: PLoS Med. doi: 10.1371/journal.pmed.1001779 – volume: 101 start-page: 539 year: 2017 ident: 921_CR87 publication-title: Am. J. Hum. Genet. doi: 10.1016/j.ajhg.2017.08.012 – volume: 14 start-page: 32 year: 2019 ident: 921_CR3 publication-title: Mol. Neurodegener. doi: 10.1186/s13024-019-0333-5 – volume: 10 year: 2019 ident: 921_CR16 publication-title: Nat. Commun. doi: 10.1038/s41467-019-11181-1 – volume: 14 start-page: e1002258 year: 2017 ident: 921_CR47 publication-title: PLoS Med. doi: 10.1371/journal.pmed.1002258 – volume: 2018 start-page: 3491269 year: 2018 ident: 921_CR19 publication-title: J. Immunol. Res. doi: 10.1155/2018/3491269 – volume: 139 start-page: 45 year: 2020 ident: 921_CR30 publication-title: Acta Neuropathol. doi: 10.1007/s00401-019-02066-0 – ident: 921_CR93 – volume: 11 start-page: e1004219 year: 2015 ident: 921_CR15 publication-title: PLoS Comput. Biol. doi: 10.1371/journal.pcbi.1004219 – volume: 9 year: 2018 ident: 921_CR66 publication-title: Nat. Commun. doi: 10.1038/s41467-018-04365-8 – volume: 7 start-page: 2 year: 2021 ident: 921_CR23 publication-title: NPJ Aging Mech. Dis. doi: 10.1038/s41514-020-00052-5 – volume: 286 start-page: 34088 year: 2011 ident: 921_CR27 publication-title: J. Biol. Chem. doi: 10.1074/jbc.M111.243907 – volume: 63 start-page: 168 year: 2006 ident: 921_CR5 publication-title: Arch. Gen. Psychiatry doi: 10.1001/archpsyc.63.2.168 – volume: 82 start-page: 1273 year: 2020 ident: 921_CR86 publication-title: J. R. Stat. Soc. B Stat. Methodol. doi: 10.1111/rssb.12388 – volume: 5 year: 2014 ident: 921_CR28 publication-title: Nat. Commun. doi: 10.1038/ncomms5046 – volume: 266 start-page: 2075 year: 2019 ident: 921_CR32 publication-title: J. Neurol. doi: 10.1007/s00415-019-09363-4 – ident: 921_CR84 doi: 10.1101/2020.01.29.924266 – volume: 1 start-page: 417 year: 2015 ident: 921_CR52 publication-title: Cell Syst. doi: 10.1016/j.cels.2015.12.004 – volume: 167 start-page: 643 year: 2016 ident: 921_CR74 publication-title: Cell doi: 10.1016/j.cell.2016.09.024 – volume: 49 start-page: 325 year: 2017 ident: 921_CR35 publication-title: Nat. Genet. doi: 10.1038/ng.3766 – volume: 49 start-page: 139 year: 2017 ident: 921_CR79 publication-title: Nat. Genet. doi: 10.1038/ng.3737 – volume: 14 start-page: 955 year: 2017 ident: 921_CR55 publication-title: Nat. Methods doi: 10.1038/nmeth.4407 – volume: 47 start-page: 291 year: 2015 ident: 921_CR9 publication-title: Nat. Genet. doi: 10.1038/ng.3211 – volume: 44 start-page: 502 year: 2012 ident: 921_CR67 publication-title: Nat. Genet. doi: 10.1038/ng.2205 – volume: 19 start-page: 1442 year: 2016 ident: 921_CR81 publication-title: Nat. Neurosci. doi: 10.1038/nn.4399 – volume: 53 start-page: 392 year: 2021 ident: 921_CR50 publication-title: Nat. Genet. doi: 10.1038/s41588-020-00776-w – volume: 8 year: 2018 ident: 921_CR22 publication-title: Sci. Rep. doi: 10.1038/s41598-018-35789-3 – volume: 52 start-page: M117 year: 1997 ident: 921_CR4 publication-title: J. Gerontol. A Biol. Sci. Med. Sci. doi: 10.1093/gerona/52A.2.M117 – volume: 10 start-page: e1004383 year: 2014 ident: 921_CR18 publication-title: PLoS Genet. doi: 10.1371/journal.pgen.1004383 – volume: 51 start-page: 404 year: 2019 ident: 921_CR8 publication-title: Nat. Genet. doi: 10.1038/s41588-018-0311-9 – volume: 76 start-page: 247 year: 2011 ident: 921_CR31 publication-title: Neurology doi: 10.1212/WNL.0b013e3182074bd2 – volume: 21 start-page: 108 year: 2016 ident: 921_CR48 publication-title: Mol. Psychiatry doi: 10.1038/mp.2015.23 – volume: 217 start-page: iyaa046 year: 2021 ident: 921_CR7 publication-title: Genetics doi: 10.1093/genetics/iyaa046 – volume: 171 start-page: 321 year: 2017 ident: 921_CR58 publication-title: Cell doi: 10.1016/j.cell.2017.09.004 – volume: 12 start-page: 3417 year: 2021 ident: 921_CR49 publication-title: Nat. Commun. doi: 10.1038/s41467-021-22491-8 – volume: 102 start-page: 351 year: 2017 ident: 921_CR33 publication-title: J. Leukoc. Biol. doi: 10.1189/jlb.5MR1216-534R – volume: 167 start-page: 657 year: 2016 ident: 921_CR73 publication-title: Cell doi: 10.1016/j.cell.2016.09.025 – volume: 7 year: 2017 ident: 921_CR59 publication-title: Sci. Rep. doi: 10.1038/s41598-017-16546-4 – volume: 46 start-page: D1074 year: 2018 ident: 921_CR17 publication-title: Nucleic Acids Res. doi: 10.1093/nar/gkx1037 – volume: 9 year: 2018 ident: 921_CR24 publication-title: Nat. Commun. doi: 10.1038/s41467-018-02926-5 – volume: 8 year: 2017 ident: 921_CR42 publication-title: Nat. Commun. doi: 10.1038/s41467-017-01261-5 – volume: 38 start-page: e164 year: 2010 ident: 921_CR91 publication-title: Nucleic Acids Res. doi: 10.1093/nar/gkq603 – volume: 11 year: 2020 ident: 921_CR6 publication-title: Nat. Commun. doi: 10.1038/s41467-020-18534-1 – volume: 9 start-page: e1003118 year: 2013 ident: 921_CR90 publication-title: PLoS Comput. Biol. doi: 10.1371/journal.pcbi.1003118 – volume: 44 start-page: D733 year: 2016 ident: 921_CR92 publication-title: Nucleic Acids Res. doi: 10.1093/nar/gkv1189 – volume: 26 start-page: 2336 year: 2010 ident: 921_CR51 publication-title: Bioinformatics doi: 10.1093/bioinformatics/btq419 – volume: 13 start-page: 506 year: 2019 ident: 921_CR29 publication-title: Front. Neurosci. doi: 10.3389/fnins.2019.00506 – volume: 112 start-page: 7285 year: 2015 ident: 921_CR57 publication-title: Proc. Natl Acad. Sci. USA doi: 10.1073/pnas.1507125112 – volume: 172 start-page: 1091 year: 2018 ident: 921_CR60 publication-title: Cell doi: 10.1016/j.cell.2018.02.001 – volume: 2 start-page: e00523 year: 2013 ident: 921_CR69 publication-title: Elife doi: 10.7554/eLife.00523 – volume: 17 start-page: R122 year: 2008 ident: 921_CR11 publication-title: Hum. Mol. Genet. doi: 10.1093/hmg/ddn288 – volume: 14 start-page: 144 year: 2013 ident: 921_CR40 publication-title: Brief. Bioinform. doi: 10.1093/bib/bbs038 – volume: 573 start-page: 61 year: 2019 ident: 921_CR54 publication-title: Nature doi: 10.1038/s41586-019-1506-7 – volume: 167 start-page: 1398 year: 2016 ident: 921_CR64 publication-title: Cell doi: 10.1016/j.cell.2016.10.026 – volume: 66 start-page: 1471 year: 2018 ident: 921_CR1 publication-title: J. Alzheimers Dis. doi: 10.3233/JAD-180416 – volume: 16 start-page: 1896 year: 2013 ident: 921_CR25 publication-title: Nat. Neurosci. doi: 10.1038/nn.3554 – volume: 343 start-page: 1246949 year: 2014 ident: 921_CR68 publication-title: Science doi: 10.1126/science.1246949 – ident: 921_CR77 doi: 10.1101/447367 – volume: 20 start-page: 1418 year: 2017 ident: 921_CR80 publication-title: Nat. Neurosci. doi: 10.1038/nn.4632 – volume: 15 start-page: 455 year: 2016 ident: 921_CR2 publication-title: Lancet Neurol. doi: 10.1016/S1474-4422(16)00062-4 – volume: 9 start-page: 1192 year: 2014 ident: 921_CR39 publication-title: Nat. Protoc. doi: 10.1038/nprot.2014.071 – volume: 9 year: 2018 ident: 921_CR53 publication-title: Nat. Commun. doi: 10.1038/s41467-018-06022-6 – volume: 362 start-page: eaat8464 year: 2018 ident: 921_CR62 publication-title: Science doi: 10.1126/science.aat8464 – volume: 50 start-page: 424 year: 2018 ident: 921_CR63 publication-title: Nat. Genet. doi: 10.1038/s41588-018-0046-7 – volume: 518 start-page: 317 year: 2015 ident: 921_CR89 publication-title: Nature doi: 10.1038/nature14248 – volume: 33 start-page: 272 year: 2016 ident: 921_CR13 publication-title: Bioinformatics doi: 10.1093/bioinformatics/btw613 – volume: 8 year: 2018 ident: 921_CR46 publication-title: Transl. Psychiatry doi: 10.1038/s41398-018-0150-6 – volume: 47 start-page: 1236 year: 2015 ident: 921_CR12 publication-title: Nat. Genet. doi: 10.1038/ng.3406 – volume: 45 start-page: 1238 year: 2013 ident: 921_CR78 publication-title: Nat. Genet. doi: 10.1038/ng.2756 – volume: 47 start-page: 88 year: 2015 ident: 921_CR76 publication-title: Nat. Genet. doi: 10.1038/ng.3162 – reference: 34773122 - Nat Genet. 2021 Dec;53(12):1722. doi: 10.1038/s41588-021-00977-x. – reference: 34599319 - Nat Rev Neurol. 2021 Nov;17(11):659. doi: 10.1038/s41582-021-00575-9. – reference: 35726068 - Nat Genet. 2022 Jul;54(7):1062. doi: 10.1038/s41588-022-01126-8. |
| SSID | ssj0014408 |
| Score | 2.7392564 |
| Snippet | Late-onset Alzheimer’s disease is a prevalent age-related polygenic disease that accounts for 50–70% of dementia cases. Currently, only a fraction of the... Late-onset Alzheimer's disease is a prevalent age-related polygenic disease that accounts for 50-70% of dementia cases. Currently, only a fraction of the... A genome-wide association study performed in 1,126,563 individuals identifies seven new loci associated with Alzheimer's disease and implicates microglia and... |
| SourceID | swepub pubmedcentral proquest gale pubmed crossref springer |
| SourceType | Open Access Repository Aggregation Database Index Database Enrichment Source Publisher |
| StartPage | 1276 |
| SubjectTerms | 631/208/205/2138 631/378 Agriculture Alzheimer Disease - genetics Alzheimer's disease Animal Genetics and Genomics Biomedical and Life Sciences Biomedicine Cancer Research drivers Gene Function gene-expression Genetic aspects Genetic Predisposition to Disease - genetics Genetic variation Genetics & Heredity Genome-wide association studies Genome-Wide Association Study Health aspects heritability Human Genetics Humans Identification and classification ld score regression metaanalysis Methods Microglia - cytology Multifactorial Inheritance - genetics Neurosciences Neurovetenskaper polygenic risk Polymorphism, Single Nucleotide - genetics Proteins - metabolism Proteolysis Risk factors rna-seq Sample Size signatures transcriptome |
| Title | A genome-wide association study with 1,126,563 individuals identifies new risk loci for Alzheimer’s disease |
| URI | https://link.springer.com/article/10.1038/s41588-021-00921-z https://www.ncbi.nlm.nih.gov/pubmed/34493870 https://www.proquest.com/docview/2570373846 https://pubmed.ncbi.nlm.nih.gov/PMC10243600 https://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-54690 https://gup.ub.gu.se/publication/310534 http://kipublications.ki.se/Default.aspx?queryparsed=id:147752070 |
| Volume | 53 |
| WOSCitedRecordID | wos000694666000007&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVPQU databaseName: Biological Science Database customDbUrl: eissn: 1546-1718 dateEnd: 20241207 omitProxy: false ssIdentifier: ssj0014408 issn: 1546-1718 databaseCode: M7P dateStart: 20000101 isFulltext: true titleUrlDefault: http://search.proquest.com/biologicalscijournals providerName: ProQuest – providerCode: PRVPQU databaseName: Health & Medical Collection (ProQuest) customDbUrl: eissn: 1546-1718 dateEnd: 20241207 omitProxy: false ssIdentifier: ssj0014408 issn: 1546-1718 databaseCode: 7X7 dateStart: 20000101 isFulltext: true titleUrlDefault: https://search.proquest.com/healthcomplete providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Central customDbUrl: eissn: 1546-1718 dateEnd: 20241207 omitProxy: false ssIdentifier: ssj0014408 issn: 1546-1718 databaseCode: BENPR dateStart: 20000101 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Research Library customDbUrl: eissn: 1546-1718 dateEnd: 20241207 omitProxy: false ssIdentifier: ssj0014408 issn: 1546-1718 databaseCode: M2O dateStart: 20000101 isFulltext: true titleUrlDefault: https://search.proquest.com/pqrl providerName: ProQuest – providerCode: PRVPQU databaseName: Public Health Database customDbUrl: eissn: 1546-1718 dateEnd: 20241207 omitProxy: false ssIdentifier: ssj0014408 issn: 1546-1718 databaseCode: 8C1 dateStart: 20000101 isFulltext: true titleUrlDefault: https://search.proquest.com/publichealth providerName: ProQuest |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV3db9MwELemDSReEN8UxmTQxB66ak3iJM5jKUMwQTdtY-zNchK3DSvp1LRj7D_iv-Qudr62MY0HXqzWuTZu7tfz2b77HSHrjmMH3dgadmweuR02tMMOjxRgWdohd4fW0JM5z-xnfzDgx8fB3tLS7yIX5mzipyk_Pw9O_6uqoQ-Ujamz_6Du8kuhA16D0qEFtUN7K8X3sCry9Ifq_Exi1ZbV49dUsnrnFexXP6-72Hc9p52UWVlZO4l1_JDKsNq4Dj2HCS_J4xF7k4uxSvKCK37WONwx_u0g5wnFEWByZOmvf8MtALPXalz2KrFsR6ZmGwjL3VepEQfyTOrC7ztKwnRQuzKW8cyQH0zUOZi1Xn33wrbK8Kx5Qf6No7p2y00bZPA3YI2rSVIKi63phQ0yg5r5tWxdTObKvKBZ4DPwVgAt-TC6AbQX1SxYnPx_2j1qdmpyYM9nXpcHmCm4YvtugAbUPy7X9nhErrMuzXBNfhbcd-vqXRs-0GVPoOYKXQ7TLc_qL_Ha5r7Q4QNy3yxiaE-D7yFZUukjcleXNf31mJz0aA2CtAZBmkOQIgSptQkA3AT40Rr8aAU_CvCjCD-K8KMAP1rCbyOjBnxPyNcP24f9jx1T1KMTeQGbd6Qfylg6Mowk-Jo8dFXgxjFMLJ6tHBZE3AmZtKUKYo_5YdxVHJxoZndjz_fd0PWdp2Q5nabqOaFWZNtRHDtDR0nGwziMFGdYcdIPvS5z4haxiscsIsN4j4VXJiKPvHC40KoRoBqRq0ZctEi7_Myp5nu5UfoNak8gkUqKkVojucgyARgSFWL-JnSw3xDaMELDKYwxkiY7Bn4pErQ1JFcbkjAdRI3LrwskCbyEMZSpmi4ygfUqkceMeS3yTCOr_IkOY4EDU3eL8AbmSgFkoW9eSZNxzkZvIacpLJtaZLOApzDmMLvx0a1rCDdu8T456onpbCTG34WLO3ct8vYasdHiVEDXaCEyJWCB6jrsekHTdZKgIHMDWLC8uI3OXpJ7lbVaJcvz2UK9Ineis3mSzdbyv37ecmh531ojK--2B3v78O6LvYutv_cHS5I24g |
| linkProvider | ProQuest |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=A+genome-wide+association+study+with+1%2C126%2C563+individuals+identifies+new+risk+loci+for+Alzheimer%27s+disease&rft.jtitle=Nature+genetics&rft.au=Wightman%2C+Douglas+P&rft.au=Jansen%2C+Iris+E&rft.au=Savage%2C+Jeanne+E&rft.au=Shadrin%2C+Alexey+A&rft.date=2021-09-01&rft.pub=Nature+Publishing+Group&rft.issn=1061-4036&rft.volume=53&rft.issue=9&rft.spage=1276&rft_id=info:doi/10.1038%2Fs41588-021-00921-z&rft.externalDBID=IOV&rft.externalDocID=A674608901 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1061-4036&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1061-4036&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1061-4036&client=summon |