Suchergebnisse - "Multifactorial Inheritance genetics"

Polygenic prediction of body mass index and obesity through the life course and across ancestries

Autoren: Smit RAJ Wade KH Hui Q et al.

Weitere Verfasser: Smit RAJ Wade KH Hui Q et al.

Quelle: 23andMe Research Team 2025, 'Polygenic prediction of body mass index and obesity through the life course and across ancestries', Nature Medicine, vol. 31, no. 9, pp. 3151-3168. https://doi.org/10.1038/s41591-025-03827-z
Smit, R A J, Wade, K H, Hui, Q, Arias, J D, Yin, X, Christiansen, M R, Yengo, L, Preuss, M H, Nakabuye, M, Rocheleau, G, Graham, S E, Buchanan, V L, Chittoor, G, Graff, M, Guindo-Martínez, M, Lu, Y, Marouli, E, Sakaue, S, Spracklen, C N, Vedantam, S, Wilson, E P, Chen, S-H, Ferreira, T, Ji, Y, Karaderi, T, Lüll, K, Machado, M, Malden, D E, Medina-Gomez, C, Moore, A, Rüeger, S, Akiyama, M, Allison, M A, Alvarez, M, Andersen, M K, Appadurai, V, Arbeeva, L, Bartell, E, Cañadas-Garre, M, Li, X, Nelson, C P, Smyth, L J, Sun, L, Wang, Z, Cole, J W, Cooper, R S, Kee, F, McKnight, A J, Weir, D R, Wilson, P W F & 23andMe Research Team 2025, 'Polygenic prediction of body mass index and obesity through the life course and across ancestries', Nature Medicine. https://doi.org/10.1038/s41591-025-03827-z
23andMe Research Team 2025, ' Polygenic prediction of body mass index and obesity through the life course and across ancestries ', Nature Medicine, vol. 31, no. 9, pp. 3151-3168 . https://doi.org/10.1038/s41591-025-03827-z

Schlagwörter: Adult, Male, Understanding Society Scientific Group, Multifactorial Inheritance, Adolescent, Obesity/genetics, body mass index, 23andMe Research Team, White People, Body Mass Index, Young Adult, Polygenic score, Racial Groups/genetics, DiscovEHR (DiscovEHR and MyCode Community Health Initiative), PRACTICAL Consortium, Humans, Genetic Predisposition to Disease, name=SDG 3 - Good Health and Well-being, Obesity, Child, Multifactorial Inheritance/genetics, Polygenic scores body mass index, Adiposity, eMERGE (Electronic Medical Records and Genomics Network), Racial Groups, Middle Aged, GPC-UGR, Adiposity/genetics, Child, Preschool, VA Million Veteran Program, Female, White People/genetics

Dateibeschreibung: ELETTRONICO; application/pdf; application/zip; text/xml

Zugangs-URL: https://hdl.handle.net/11368/3114138
https://www.nature.com/articles/s41591-025-03827-z
https://hdl.handle.net/1871.1/f1cbb1a3-1b84-4784-a426-405af1fee45e
https://research.vu.nl/en/publications/f1cbb1a3-1b84-4784-a426-405af1fee45e
https://doi.org/10.1038/s41591-025-03827-z
https://research.rug.nl/en/publications/e9e305b4-e4e2-49e5-8913-9ee6becbc545
https://hdl.handle.net/11370/e9e305b4-e4e2-49e5-8913-9ee6becbc545
https://doi.org/10.1038/s41591-025-03827-z
https://www.nature.com/articles/s41591-025-03827-z
https://doi.org/10.1038/s41591-025-03827-z
https://pure.amsterdamumc.nl/en/publications/9ea056f1-f4e5-439d-8d54-4e112d504c80
https://doi.org/10.1038/s41591-025-03827-z
https://hdl.handle.net/11388/367573
https://doi.org/10.1038/s41591-025-03827-z
https://pure.qub.ac.uk/en/publications/c00dd1f6-fbfd-4fb5-893d-9b8db0783578
https://curis.ku.dk/ws/files/499174807/s41591-025-03827-z.pdf
https://hdl.handle.net/11368/3114138
https://pubmed.ncbi.nlm.nih.gov/40691366/
https://www.repository.cam.ac.uk/handle/1810/389554
https://doi.org/10.1038/s41591-025-03827-z
https://www.repository.cam.ac.uk/handle/1810/389594
https://doi.org/10.1038/s41591-025-03827-z

Incorporating genetic data improves target trial emulations and informs the use of polygenic scores in randomized controlled trial design

Autoren: Jakob German Zhiyu Yang Sarah Urbut et al.

Weitere Verfasser: Jakob German Zhiyu Yang Sarah Urbut et al.

Quelle: Nat Genet
Nature genetics, vol. 57, no. 7, pp. 1620-1627

Schlagwörter: Cardiovascular outcomes, Biomedicine, Propensity score, Genetics, developmental biology, physiology, Humans, Multifactorial Inheritance/genetics, Randomized Controlled Trials as Topic/methods, Mendelian Randomization Analysis/methods, Research Design, Computer Simulation, Empagliflozin, Warfarin, Mortality, Article, Causal inference

Dateibeschreibung: application/pdf

Zugangs-URL: http://hdl.handle.net/10138/599558
https://serval.unil.ch/resource/serval:BIB_4F42A4058C06.P001/REF.pdf
http://nbn-resolving.org/urn/resolver.pl?urn=urn:nbn:ch:serval-BIB_4F42A4058C061
https://serval.unil.ch/notice/serval:BIB_4F42A4058C06

Meta-analysis of genome-wide associations and polygenic risk prediction for atrial fibrillation in more than 180,000 cases

Autoren: Carolina Roselli Ida Surakka Morten S. Olesen et al.

Weitere Verfasser: Carolina Roselli Ida Surakka Morten S. Olesen et al.

Quelle: The Biobank Japan Project, Regeneron Genetics Center & DBDS Genomic Consortium 2025, 'Meta-analysis of genome-wide associations and polygenic risk prediction for atrial fibrillation in more than 180,000 cases', Nature Genetics, vol. 57, no. 3, 11303, pp. 539-547. https://doi.org/10.1038/s41588-024-02072-3

Schlagwörter: Male, Multifactorial Inheritance, Chromatin/genetics, Myocytes, Cardiac/metabolism, Polymorphism, Single Nucleotide, Chromatin, Risk Factors, Atrial Fibrillation, Journal Article, Atrial Fibrillation/genetics, Humans, Genetic Predisposition to Disease, Myocytes, Cardiac, Female, Multifactorial Inheritance/genetics, Meta-Analysis, Genome-Wide Association Study

Dateibeschreibung: application/pdf

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/40050429
https://pure.eur.nl/en/publications/237b7043-3634-44ac-9b90-75088f7db236
https://doi.org/10.1038/s41588-024-02072-3
https://research.rug.nl/en/publications/53d9b249-f19d-4049-bd7a-bb75a8906c5c
https://hdl.handle.net/11370/53d9b249-f19d-4049-bd7a-bb75a8906c5c
https://doi.org/10.1038/s41588-024-02072-3
https://cris.maastrichtuniversity.nl/en/publications/46250563-cacb-4c39-8fda-522c20ad2948
https://doi.org/10.1038/s41588-024-02072-3
https://dspace.library.uu.nl/handle/1874/461036
https://pure.amsterdamumc.nl/en/publications/a48166d2-0768-4e4f-a706-b41e5cefaded
https://doi.org/10.1038/s41588-024-02072-3
https://hdl.handle.net/2108/417467
https://doi.org/10.1038/s41588-024-02072-3
https://pure.au.dk/portal/en/publications/bec4a97c-1b69-4103-95c8-405c1de3c10f
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https://doi.org/10.1038/s41588-024-02072-3

Genetic architecture in Greenland is shaped by demography, structure and selection

Autoren: Frederik Filip Stæger Mette K. Andersen Zilong Li et al.

Quelle: Nature
Stæger, F F, Andersen, M K, Li, Z, Hjerresen, J P, He, S, Santander, C G, Jensen, R T, Rex, K F, Thuesen, A C B, Hanghøj, K, Seiding, I H, Jørsboe, E, Stinson, S E, Rasmussen, M S, Balboa, R F, Larsen, C V L, Bjerregaard, P, Schubert, M, Meisner, J, Linneberg, A, Grarup, N, Zeggini, E, Nielsen, R, Jørgensen, M E, Hansen, T, Moltke, I & Albrechtsen, A 2025, 'Genetic architecture in Greenland is shaped by demography, structure and selection', Nature, vol. 639, no. 8054, 6668, pp. 404-410. https://doi.org/10.1038/s41586-024-08516-4
Stæger, F F, Andersen, M K, Li, Z, Hjerresen, J P, He, S, Santander, C G, Jensen, R T, Rex, K F, Thuesen, A C B, Hanghøj, K, Seiding, I H, Jørsboe, E, Stinson, S E, Rasmussen, M S, Balboa, R F, Larsen, C V L, Bjerregaard, P, Schubert, M, Meisner, J, Linneberg, A, Grarup, N, Zeggini, E, Nielsen, R, Jørgensen, M E, Hansen, T, Moltke, I & Albrechtsen, A 2025, ' Genetic architecture in Greenland is shaped by demography, structure and selection ', Nature, vol. 639, no. 8054, pp. 404–410 . https://doi.org/10.1038/s41586-024-08516-4
Nature, vol 639, iss 8054

Schlagwörter: Male, Multifactorial Inheritance, General Science & Technology, Population, Greenland, White, Inuit/genetics, Europe/ethnology, Article, White People, Genetic, Health Sciences, Genetics, Humans, Genetic Testing, Selection, Genetic, Selection, Multifactorial Inheritance/genetics, Demography, Genome, Human/genetics, Genome, Human, Arctic Regions, Human Genome, Genetic Drift, Biological Sciences, Health Disparities, Europe, Genetics, Population, Phenotype, Inuit, Genome, Human/genetics, Female, Generic health relevance, Human, White People/genetics, Genome-Wide Association Study

Dateibeschreibung: application/pdf

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/39939757
https://vbn.aau.dk/da/publications/8e5db065-84da-4b88-b22a-cf9c490fe6b9
https://vbn.aau.dk/ws/files/772565726/St_ger_et_al._2025_._Genetic_architecture_in_Greenland_is_shaped_by_demography_structure_and_selection.pdf
https://doi.org/10.1038/s41586-024-08516-4
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https://portal.findresearcher.sdu.dk/da/publications/86f7e323-ba90-498d-97b1-9d08838cdf98
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https://escholarship.org/uc/item/4x0163gq
https://escholarship.org/content/qt4x0163gq/qt4x0163gq.pdf

The interplay between polygenic score for tumor necrosis factor-α, brain structural connectivity, and processing speed in major depression

Autoren: Flinkenflügel, Kira Gruber, Marius Meinert, Susanne et al.

Quelle: Mol Psychiatry
Molecular psychiatry 29, 3151-3159 (2024). doi:10.1038/s41380-024-02577-7
Molecular Psychiatry

Schlagwörter: Male, Adult, 0301 basic medicine, Multifactorial Inheritance, Female [MeSH], Multifactorial Inheritance/genetics [MeSH], 59/57, Adult [MeSH], Humans [MeSH], Nerve Net/physiopathology [MeSH], Depressive Disorder, Major/metabolism [MeSH], Depressive Disorder, Major/genetics [MeSH], Middle Aged [MeSH], Processing Speed [MeSH], 692/699/476/1414, Article, Brain/physiopathology [MeSH], Depressive Disorder, Major/physiopathology [MeSH], Male [MeSH], Nerve Net/metabolism [MeSH], Nerve Net/diagnostic imaging [MeSH], Brain/metabolism [MeSH], Magnetic Resonance Imaging/methods [MeSH], Tumor Necrosis Factor-alpha/metabolism [MeSH], 631/378, article, Neuropsychological Tests [MeSH], Neuropsychological Tests, Magnetic Resonance Imaging/methods, Nerve Net/metabolism, 03 medical and health sciences, 0302 clinical medicine, Brain/metabolism, Humans, Multifactorial Inheritance/genetics, Processing Speed, Tumor Necrosis Factor-alpha/metabolism, Depressive Disorder, Depressive Disorder, Major, Tumor Necrosis Factor-alpha, Brain, Major/genetics, Middle Aged, Magnetic Resonance Imaging, Female, Nerve Net

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/38693319
https://research.vu.nl/en/publications/3ca947ed-9539-4dfc-bc88-7e6616c75d05
https://doi.org/10.1038/s41380-024-02577-7
https://hdl.handle.net/1871.1/3ca947ed-9539-4dfc-bc88-7e6616c75d05
https://juser.fz-juelich.de/record/1026976
https://repository.publisso.de/resource/frl:6521043

Genomic analysis of intracranial and subcortical brain volumes yields polygenic scores accounting for variation across ancestries

Autoren: Luis M. García-Marín Adrian I. Campos Santiago Diaz-Torres et al.

Weitere Verfasser: Luis M. García-Marín Adrian I. Campos Santiago Diaz-Torres et al.

Quelle: medRxiv
Digital.CSIC. Repositorio Institucional del CSIC
Consejo Superior de Investigaciones Científicas (CSIC)
Nature genetics 56(11), 2333-2344 (2024). doi:10.1038/s41588-024-01951-z
Nature Genetics, 56, 11, pp. 2333-2344
Nature Genetics, vol 56, iss 11

Schlagwörter: Male, Organ Size/genetics, Multifactorial Inheritance, Biological Psychology, 270 Language and Computation in Neural Systems, Human Genetics - Radboud University Medical Center - DCMN, genetics [Attention Deficit Disorder with Hyperactivity], Medical and Health Sciences, Psychiatry - Radboud University Medical Center - DCMN, pathology [Brain], genetics [Parkinson Disease], Psychology, 2.1 Biological and endogenous factors, Parkinson Disease/genetics, genetics [Multifactorial Inheritance], methods [Genomics], 220 Statistical Imaging Neuroscience, Cognitive Neuroscience - Radboud University Medical Center - DCMN, Brain, Parkinson Disease, Pharmacology and Pharmaceutical Sciences, Single Nucleotide, Organ Size, Genomics, Biological Sciences, Middle Aged, Mental Illness, Bioinformatics and computational biology, Mental Health, Neurological, Mental health, Female, [SHS] Humanities and Social Sciences, Attention Deficit Disorder with Hyperactivity/genetics, White People/genetics, Biotechnology, Adult, Agricultural biotechnology, genetics [White People], Polymorphism, Single Nucleotide, 150 000 MR Techniques in Brain Function, Article, White People, ddc:570, Journal Article, Genetics, Humans, Brain/pathology, Genetic Predisposition to Disease, Polymorphism, Multifactorial Inheritance/genetics, Biomedical and Clinical Sciences, genetics [Organ Size], Human Genome, Neurosciences, pathology [Attention Deficit Disorder with Hyperactivity], Genomics/methods, Brain Disorders, pathology [Parkinson Disease], Good Health and Well Being, [SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie, Attention Deficit Disorder with Hyperactivity, name=Bristol Population Health Science Institute, Developmental Biology, Genome-Wide Association Study

Dateibeschreibung: application/pdf

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/39433889
https://pubmed.ncbi.nlm.nih.gov/39371125
http://hdl.handle.net/10261/382948
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https://doi.org/10.1038/s41588-024-01951-z
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https://doi.org/10.1038/s41588-024-01951-z
https://hdl.handle.net/1871.1/58f7979b-939d-43c2-803d-c9907b080eb4
https://cris.maastrichtuniversity.nl/en/publications/7059d74f-7105-4417-827c-58fdf7a066b9
https://doi.org/10.1038/s41588-024-01951-z
https://cris.maastrichtuniversity.nl/en/publications/df387d7a-d54e-41be-97eb-9535da578ecd
https://doi.org/10.1101/2024.08.13.24311922
https://dspace.library.uu.nl/handle/1874/459118
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https://doi.org/10.1038/s41588-024-01951-z
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https://escholarship.org/uc/item/9bp1077g

A meta-analysis of genome-wide studies of resilience in the German population

Autoren: Marisol Herrera-Rivero Linda Garvert Katrin Horn et al.

Quelle: Mol Psychiatry
Molecular psychiatry 30(2), 497-505 (2025). doi:10.1038/s41380-024-02688-1

Schlagwörter: Male, Adult, 0301 basic medicine, 0303 health sciences, Resilience, Psychological, Middle Aged, methods [Genome-Wide Association Study], Article, ddc, 3. Good health, Female [MeSH], Multifactorial Inheritance/genetics [MeSH], 631/208, Personality/genetics [MeSH], Resilience, Psychological [MeSH], Adult [MeSH], Humans [MeSH], Mental Health [MeSH], Middle Aged [MeSH], 692/699/476, Polymorphism, Single Nucleotide/genetics [MeSH], Cohort Studies [MeSH], 631/477, Genome-Wide Association Study/methods [MeSH], Male [MeSH], 45/43, Germany [MeSH], article, Cohort Studies, 03 medical and health sciences, Mental Health, Germany, genetics [Polymorphism, Single Nucleotide], Humans, genetics [Personality], Female, ddc:610, genetics [Multifactorial Inheritance]

Dateibeschreibung: application/pdf

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/39112778
https://cris.maastrichtuniversity.nl/en/publications/6705496c-b5a2-468c-a0ae-f49f18427510
https://doi.org/10.1038/s41380-024-02688-1
https://pub.dzne.de/record/276147
https://repository.publisso.de/resource/frl:6503734
https://mediatum.ub.tum.de/doc/1769787/document.pdf

Genetic mapping across autoimmune diseases reveals shared associations and mechanisms

Autoren: Lincoln, Matthew R. Connally, Noah Axisa, Pierre-Paul et al.

Quelle: Nature Genetics. 56:838-845

Schlagwörter: 0301 basic medicine, Multifactorial Inheritance, 0303 health sciences, Quantitative Trait Loci, Chromosome Mapping, Single Nucleotide, Polymorphism, Single Nucleotide, Autoimmune Diseases, 3. Good health, 03 medical and health sciences, Case-Control Studies, Autoimmune Diseases/genetics, Humans, Genetic Predisposition to Disease, Polymorphism, Multifactorial Inheritance/genetics, Alleles, Genome-Wide Association Study

Dateibeschreibung: application/pdf

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/38741015

Genome-wide analysis in over 1 million individuals of European ancestry yields improved polygenic risk scores for blood pressure traits

Autoren: Keaton, Jacob M. Kamali, Zoha Xie, Tian et al.

Weitere Verfasser: Keaton, Jacob M. Kamali, Zoha Xie, Tian et al.

Quelle: Nat Genet
Nature genetics, vol. 56, no. 5, pp. 778-791
Keaton, J M, Kamali, Z, Xie, T, Vaez, A, Williams, A, Goleva, S B, Ani, A, Evangelou, E, Hellwege, J N, Yengo, L, Young, W J, Traylor, M, Giri, A, Zheng, Z, Zeng, J, Chasman, D I, Morris, A P, Caulfield, M J, Hwang, S J, Kooner, J S, Conen, D, Attia, J R, Morrison, A C, Loos, R J F, Kristiansson, K, Schmidt, R, Hicks, A A, Pramstaller, P P, Nelson, C P, Samani, N J, Risch, L, Gyllensten, U, Melander, O, Riese, H, Wilson, J F, Campbell, H, Rich, S S, Psaty, B M, Lu, Y, Rotter, J I, Guo, X, Rice, K M, Vollenweider, P, Sundström, J, Langenberg, C, Tobin, M D, Giedraitis, V, Luan, J, Tuomilehto, J, Sun, Y V, Million Veteran Program, LifeLines Cohort Study, CHARGE Consortium & ICBP Consortium 2024, ' Genome-wide analysis in over 1 million individuals of European ancestry yields improved polygenic risk scores for blood pressure traits ', Nature Genetics, vol. 56, no. 5, pp. 778-791 . https://doi.org/10.1038/s41588-024-01714-w
Nature Genetics, vol 56, iss 5

Schlagwörter: genomic studies, Male, Multifactorial Inheritance, Medical Sciences, hypertension, Bioinformatics, name=Genetics, CHARGE consortium, Blood Pressure, Humans, Genome-Wide Association Study, Multifactorial Inheritance/genetics, Blood Pressure/genetics, White People/genetics, Polymorphism, Single Nucleotide, Hypertension/genetics, Genetic Predisposition to Disease, Risk Factors, Female, Genetic Risk Score, White People, Article, Biomedical Informatics, Medical Genetics and Genomics, Lifelines Cohort Study, Genetics, Medical Specialties, Medicine and Health Sciences, Polymorphism, 10. No inequality, metagenomics, Polygenic Risk Score, Genome-wide Association study, Million Veteran Program, Life Sciences, Genetics and Genomics, Blood pressure, Single Nucleotide, predictive models, Medicinsk genetik och genomik, 3. Good health, Oncology, Hypertension, ICBP Consortium, Hypertension, Metagenomics, Medical Genetics

Dateibeschreibung: application/pdf; application/zip; text/xml; fulltext

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/38689001
https://www.nature.com/articles/s41588-024-01714-w
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11096100/
https://hdl.handle.net/11368/3079899
https://hdl.handle.net/20.500.14243/515188
https://doi.org/10.1038/s41588-024-01714-w
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https://doi.org/10.1038/s41588-024-01714-w
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https://hdl.handle.net/11368/3079899
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Integrative common and rare variant analyses provide insights into the genetic architecture of liver cirrhosis

Autoren: Jonas Ghouse Gardar Sveinbjörnsson Marijana Vujkovic et al.

Quelle: Nat Genet
Ghouse, J, Sveinbjörnsson, G, Vujkovic, M, Seidelin, A-S, Gellert-Kristensen, H, Ahlberg, G, Tragante, V, Rand, S A, Brancale, J, Vilarinho, S, Lundegaard, P R, Sørensen, E, Erikstrup, C, Bruun, M T, Jensen, B A, Brunak, S, Banasik, K, Ullum, H, DBDS Genomic Consortium, Verweij, N, Lotta, L, Baras, A, Regeneron Genetics Center, Mirshahi, T, Carey, D J, Geisinger-Regeneron DiscovEHR Collaboration, VA Million Veteran Program, Kaplan, D E, Lynch, J, Morgan, T, Schwantes-An, T-H, Dochtermann, D R, Pyarajan, S, Tsao, P S, Estonian Biobank Research Team, Laisk, T, Mägi, R, Kozlitina, J, Tybjærg-Hansen, A, Jones, D, Knowlton, K U, Nadauld, L, Ferkingstad, E, Björnsson, E S, Ulfarsson, M O, Sturluson, Á, Sulem, P, Pedersen, O B, Ostrowski, S R, Gudbjartsson, D F, Stefansson, K, Olesen, M S, Chang, K-M, Holm, H, Bundgaard, H & Stender, S 2024, 'Integrative common and rare variant analyses provide insights into the genetic architecture of liver cirrhosis', Nature Genetics, vol. 56, no. 5, pp. 827-837. https://doi.org/10.1038/s41588-024-01720-y
Ghouse, J, Sveinbjörnsson, G, Vujkovic, M, Seidelin, A-S, Gellert-Kristensen, H, Ahlberg, G, Tragante, V, Rand, S A, Brancale, J, Vilarinho, S, Lundegaard, P R, Sørensen, E, Erikstrup, C, Bruun, M T, Jensen, B A, Brunak, S, Banasik, K, Ullum, H, Verweij, N, Lotta, L, Baras, A, Mirshahi, T, Carey, D J, Kaplan, D E, Lynch, J, Morgan, T, Schwantes-An, T-H, Dochtermann, D R, Pyarajan, S, Tsao, P S, Laisk, T, Mägi, R, Kozlitina, J, Tybjærg-Hansen, A, Jones, D, Knowlton, K U, Nadauld, L, Ferkingstad, E, Björnsson, E S, Ulfarsson, M O, Sturluson, Á, Sulem, P, Pedersen, O B, Ostrowski, S R, Gudbjartsson, D F, Stefansson, K, Olesen, M S, Chang, K-M, Bundgaard, H, Stender, S & DBDS Genomic Consortium 2024, ' Integrative common and rare variant analyses provide insights into the genetic architecture of liver cirrhosis ', Nature Genetics, vol. 56, pp. 827–837 . https://doi.org/10.1038/s41588-024-01720-y
Nature Genetics, vol 56, iss 5
Ghouse, J, Sveinbjörnsson, G, Vujkovic, M, Seidelin, A S, Gellert-Kristensen, H, Ahlberg, G, Tragante, V, Rand, S A, Brancale, J, Vilarinho, S, Lundegaard, P R, Sørensen, E, Erikstrup, C, Bruun, M T, Jensen, B A, Brunak, S, Banasik, K, Ullum, H, Verweij, N, Lotta, L, Baras, A, Mirshahi, T, Carey, D J, Kaplan, D E, Lynch, J, Morgan, T, Schwantes-An, T H, Dochtermann, D R, Pyarajan, S, Tsao, P S, Laisk, T, Mägi, R, Kozlitina, J, Tybjærg-Hansen, A, Jones, D, Knowlton, K U, Nadauld, L, Ferkingstad, E, Björnsson, E S, Ulfarsson, M O, Sturluson, Á, Sulem, P, Pedersen, O B, Ostrowski, S R, Gudbjartsson, D F, Stefansson, K, Olesen, M S, Chang, K M, Holm, H, Bundgaard, H, Stender, S, DBDS Genomic Consortium, Regeneron Genetics Center, Geisinger-Regeneron DiscovEHR Collaboration, VA Million Veteran Program & Estonian Biobank Research Team 2024, 'Integrative common and rare variant analyses provide insights into the genetic architecture of liver cirrhosis', Nature Genetics, vol. 56, no. 5, pp. 827-837. https://doi.org/10.1038/s41588-024-01720-y

Schlagwörter: gamma-Glutamyltransferase/genetics, Liver Cirrhosis, Male, Multifactorial Inheritance, Carcinoma, Hepatocellular, Polymorphism, Single Nucleotide, Article, Cohort Studies, Liver Cirrhosis/genetics, Risk Factors, Humans, Genetic Predisposition to Disease, Polymorphism, Alanine Transaminase/blood, Membrane Proteins/genetics, Liver Neoplasms/genetics, Multifactorial Inheritance/genetics, Carcinoma, Carcinoma, Hepatocellular/genetics, Liver Neoplasms, Membrane Proteins, Genetic Variation, Hepatocellular, Alanine Transaminase, Single Nucleotide, Lipase, gamma-Glutamyltransferase, 3. Good health, Case-Control Studies, Female, Hepatocellular/genetics, Lipase/genetics, Genome-Wide Association Study

Dateibeschreibung: application/pdf

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/38632349
https://vbn.aau.dk/da/publications/3fd54258-0407-4e76-871c-e3cd4573e2c5
https://doi.org/10.1038/s41588-024-01720-y
https://vbn.aau.dk/ws/files/713455164/Ghouse_et_al._2024_._Integrative_common_and_rare_variant_analyses_provide_insights_into_the_genetic_architecture_of_liver_cirrhosis.pdf
http://www.scopus.com/inward/record.url?scp=85193457668&partnerID=8YFLogxK
https://curis.ku.dk/ws/files/392920725/Integrative_common_and_rare_variant.pdf
https://portal.findresearcher.sdu.dk/da/publications/1012f587-a4ae-4f6c-83c7-64a994bf2de1
https://doi.org/10.1038/s41588-024-01720-y
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https://doi.org/10.1038/s41588-024-01720-y
http://www.scopus.com/inward/record.url?scp=85193457668&partnerID=8YFLogxK

Genetic drivers of heterogeneity in type 2 diabetes pathophysiology

Autoren: Suzuki, Ken Hatzikotoulas, Konstantinos Southam, Lorraine et al.

Weitere Verfasser: Suzuki, Ken Hatzikotoulas, Konstantinos Southam, Lorraine et al.

Quelle: Nature
Repisalud
Instituto de Salud Carlos III (ISCIII)
Suzuki, K, Hatzikotoulas, K, Southam, L, Taylor, H J, Yin, X, Lorenz, K M, Mandla, R, Huerta-Chagoya, A, Melloni, G E M, Kanoni, S, Rayner, N W, Bocher, O, Arruda, A L, Sonehara, K, Namba, S, Lee, S S K, Preuss, M H, Petty, L E, Schroeder, P, Vanderwerff, B, Kals, M, Bragg, F, Lin, K, Guo, X, Zhang, W, Yao, J, Kim, Y J, Graff, M, Takeuchi, F, Nano, J, Lamri, A, Nakatochi, M, Moon, S, Scott, R A, Cook, J P, Lee, J-J, Pan, I, Taliun, D, Parra, E J, Chai, J-F, Bielak, L F, Tabara, Y, Hai, Y, Thorleifsson, G, Grarup, N, Sofer, T, Wuttke, M, Sarnowski, C, Gieger, C, Nousome, D, Trompet, S, Kwak, S-H, Long, J, Sun, M, Tong, L, Chen, W-M, Nongmaithem, S S, Noordam, R, Lim, V J Y, Tam, C H T, Joo, Y Y, Chen, C-H, Raffield, L M, Prins, B P, Nicolas, A, Yanek, L R, Chen, G, Brody, J A, Kabagambe, E, An, P, Xiang, A H, Choi, H S, Cade, B E, Tan, J, Broadaway, K A, Williamson, A, Kamali, Z, Cui, J, Thangam, M, Adair, L S, Adeyemo, A, Aguilar-Salinas, C A, Ahluwalia, T S, Anand, S S, Bertoni, A, Bork-Jensen, J, Brandslund, I, Buchanan, T A, Burant, C F, Butterworth, A S, Canouil, M, Chan, J C N, Chang, L-C, Chee, M-L, Chen, J, Chen, S-H, Chen, Y-T, Chen, Z, Chuang, L-M, Cushman, M, Danesh, J, Das, S K, de Silva, H J, Dedoussis, G, Dimitrov, L, Doumatey, A P, Du, S, Duan, Q, Eckardt, K-U, Emery, L S, Evans, D S, Evans, M K, Fischer, K, Floyd, J S, Ford, I, Franco, O H, Frayling, T M, Freedman, B I, Genter, P, Gerstein, H C, Giedraitis, V, González-Villalpando, C, González-Villalpando, M E, Gordon-Larsen, P, Gross, M, Guare, L A, Hackinger, S, Hakaste, L, Han, S, Hattersley, A T, Herder, C, Horikoshi, M, Howard, A-G, Hsueh, W, Huang, M, Huang, W, Hung, Y-J, Hwang, M Y, Hwu, C-M, Ichihara, S, Ikram, M A, Ingelsson, M, Islam, M T, Isono, M, Jang, H-M, Jasmine, F, Jiang, G, Jonas, J B, Jørgensen, T, Kamanu, F K, Kandeel, F R, Kasturiratne, A, Katsuya, T, Kaur, V, Kawaguchi, T, Keaton, J M, Kho, A N, Khor, C-C, Kibriya, M G, Kim, D-H, Kronenberg, F, Kuusisto, J, Läll, K, Lange, L A, Lee, K M, Lee, M-S, Lee, N R, Leong, A, Li, L, Li, Y, Li-Gao, R, Ligthart, S, Lindgren, C M, Linneberg, A, Liu, C-T, Liu, J, Locke, A E, Louie, T, Luan, J, Luk, A O, Luo, X, Lv, J, Lynch, J A, Lyssenko, V, Maeda, S, Mamakou, V, Mansuri, S R, Matsuda, K, Meitinger, T, Melander, O, Metspalu, A, Mo, H, Morris, A D, Moura, F A, Nadler, J L, Nalls, M A, Nayak, U, Ntalla, I, Okada, Y, Orozco, L, Patel, S R, Patil, S, Pei, P, Pereira, M A, Peters, A, Pirie, F J, Polikowsky, H G, Porneala, B, Prasad, G, Rasmussen-Torvik, L J, Reiner, A P, Roden, M, Rohde, R, Roll, K, Sabanayagam, C, Sandow, K, Sankareswaran, A, Sattar, N, Schönherr, S, Shahriar, M, Shen, B, Shi, J, Shin, D M, Shojima, N, Smith, J A, So, W Y, Stančáková, A, Steinthorsdottir, V, Stilp, A M, Strauch, K, Taylor, K D, Thorand, B, Thorsteinsdottir, U, Tomlinson, B, Tran, T C, Tsai, F-J, Tuomilehto, J, Tusie-Luna, T, Udler, M S, Valladares-Salgado, A, van Dam, R M, van Klinken, J B, Varma, R, Wacher-Rodarte, N, Wheeler, E, Wickremasinghe, A R, van Dijk, K W, Witte, D R, Yajnik, C S, Yamamoto, K, Yamamoto, K, Yoon, K, Yu, C, Yuan, J-M, Yusuf, S, Zawistowski, M, Zhang, L, Zheng, W, Raffel, L J, Igase, M, Ipp, E, Redline, S, Cho, Y S, Lind, L, Province, M A, Fornage, M, Hanis, C L, Ingelsson, E, Zonderman, A B, Psaty, B M, Wang, Y-X, Rotimi, C N, Becker, D M, Matsuda, F, Liu, Y, Yokota, M, Kardia, S L R, Peyser, P A, Pankow, J S, Engert, J C, Bonnefond, A, Froguel, P, Wilson, J G, Sheu, W H H, Wu, J-Y, Hayes, M G, Ma, R C W, Wong, T-Y, Mook-Kanamori, D O, Tuomi, T, Chandak, G R, Collins, F S, Bharadwaj, D, Paré, G, Sale, M M, Ahsan, H, Motala, A A, Shu, X-O, Park, K-S, Jukema, J W, Cruz, M, Chen, Y-D I, Rich, S S, McKean-Cowdin, R, Grallert, H, Cheng, C-Y, Ghanbari, M, Tai, E-S, Dupuis, J, Kato, N, Laakso, M, Köttgen, A, Koh, W-P, Bowden, D W, Palmer, C N A, Kooner, J S, Kooperberg, C, Liu, S, North, K E, Saleheen, D, Hansen, T, Pedersen, O, Wareham, N J, Lee, J, Kim, B-J, Millwood, I Y, Walters, R G, Stefansson, K, Ahlqvist, E, Goodarzi, M O, Mohlke, K L, Langenberg, C, Haiman, C A, Loos, R J F, Florez, J C, Rader, D J, Ritchie, M D, Zöllner, S, Mägi, R, Marston, N A, Ruff, C T, van Heel, D A, Finer, S, Denny, J C, Yamauchi, T, Kadowaki, T, Chambers, J C, Ng, M C Y, Sim, X, Below, J E, Tsao, P S, Chang, K-M, McCarthy, M I, Meigs, J B, Mahajan, A, Spracklen, C N, Mercader, J M, Boehnke, M, Rotter, J I, Vujkovic, M, Voight, B F, Morris, A P, Zeggini, E & VA Million Veteran Program 2024, 'Genetic drivers of heterogeneity in type 2 diabetes pathophysiology', Nature, vol. 627, no. 8003, pp. 347-357. https://doi.org/10.1038/s41586-024-07019-6
Suzuki, K, Hatzikotoulas, K, Southam, L, Taylor, H J, Yin, X, Lorenz, K M, Mandla, R, Huerta-Chagoya, A, Melloni, G E M, Kanoni, S, Rayner, N W, Bocher, O, Arruda, A L, Sonehara, K, Namba, S, Lee, S S K, Preuss, M H, Petty, L E, Schroeder, P, Vanderwerff, B, Kals, M, Bragg, F, Lin, K, Guo, X, Zhang, W, Yao, J, Kim, Y J, Graff, M, Takeuchi, F, Nano, J, Lamri, A, Nakatochi, M, Moon, S, Scott, R A, Cook, J P, Lee, J-J, Pan, I, Taliun, D, Parra, E J, Grarup, N, Chen, W-M, Bork-Jensen, J, Islam, M T, Jørgensen, T, Linneberg, A, Witte, D R, Lind, L, Hansen, T, Pedersen, O, Loos, R J F & VA Million Veteran Program 2024, ' Genetic drivers of heterogeneity in type 2 diabetes pathophysiology ', Nature, vol. 627, no. 8003, pp. 347-357 . https://doi.org/10.1038/s41586-024-07019-6
VA Million Veteran Program, AMED GRIFIN Diabetes Initiative Japan, BioBank Japan Project, Penn Medicine BioBank, Regeneron Genetics Center, Genes & Health Research Team, eMERGE Consortium, International Consortium of Blood Pressure (ICBP), Meta-Analyses of Glucose and Insulin-related traits Consortium (MAGIC), Suzuki, K, Morris, A P & al, E 2024, 'Genetic drivers of heterogeneity in type 2 diabetes pathophysiology', Nature: international weekly journal of science. https://doi.org/10.1038/s41586-024-07019-6
Nature: New biology, vol 627, iss 8003
VA Million Veteran Program 2024, 'Genetic drivers of heterogeneity in type 2 diabetes pathophysiology', Nature, vol. 627, no. 8003, pp. 347-357. https://doi.org/10.1038/s41586-024-07019-6

Schlagwörter: Epigenomics, Multifactorial Inheritance, Diseases, Coronary Artery Disease, Medical Genetics and Genomics, Endocrinology, Medical Specialties, Medicine and Health Sciences, Adipocytes, Diabetic Nephropathies, Chromatin/genetics, Genetic Predisposition to Disease/genetics, Diabetes, Life Sciences, Medicinsk genetik och genomik, Chromatin, [SDV] Life Sciences [q-bio], Endokrinologi och diabetes, VA Million Veteran Program, Disease Progression, Diabetes Mellitus, Type 2/genetics, Type 2/classification, Public Health, Islets of Langerhans/metabolism, Single-Cell Analysis, Type 2, Coronary Artery Disease/complications, Enteroendocrine Cells, Endocrinology and Diabetes, Endothelial Cells/metabolism, Endocrine System Diseases, Polymorphism, Single Nucleotide, Article, Islets of Langerhans, Peripheral Arterial Disease, Diabetes Mellitus, Humans, Genetic Predisposition to Disease, Multifactorial Inheritance/genetics, Diabetic Nephropathies/complications, ICTS (Institute of Clinical and Translational Sciences), Endothelial Cells, Genetics and Genomics, and Metabolism, Diabetes Mellitus, Type 2, Adipocytes/metabolism, Peripheral Arterial Disease/complications, Diabetes Mellitus, Type 2/classification, Genome-Wide Association Study

Dateibeschreibung: application/pdf; application/vnd.openxmlformats-officedocument.spreadsheetml.sheet; application/vnd.openxmlformats-officedocument.wordprocessingml.document; application/zip; text/xml; pdf

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/38374256
http://hdl.handle.net/20.500.12105/19067
https://vbn.aau.dk/ws/files/694302869/s41586-024-07019-6.pdf
https://doi.org/10.1038/s41586-024-07019-6
https://vbn.aau.dk/da/publications/c82f79ec-c84b-42ea-b5f5-c35702f4dc01
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https://doi.org/10.1038/s41586-024-07019-6
https://research.rug.nl/en/publications/c0fed38c-322f-4cf3-a8a8-08649aad2ad1
https://doi.org/10.1038/s41586-024-07019-6
https://hdl.handle.net/11370/c0fed38c-322f-4cf3-a8a8-08649aad2ad1
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https://doi.org/10.1038/s41586-024-07019-6
https://www.repository.cam.ac.uk/handle/1810/363111
https://doi.org/10.1038/s41586-024-07019-6
https://doi.org/10.17863/cam.105353
https://epub.ub.uni-muenchen.de/109736/
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https://escholarship.org/uc/item/0m6008vx
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Decomposing the genetic background of chronic back pain

Autoren: Elizaveta E. Elgaeva Irina V. Zorkoltseva Arina V. Nostaeva et al.

Weitere Verfasser: Elizaveta E. Elgaeva Irina V. Zorkoltseva Arina V. Nostaeva et al.

Quelle: Human Molecular Genetics. 34:711-725

Schlagwörter: Male, Adult, Back Pain/genetics, Multifactorial Inheritance, Genetics & genetic processes, Polymorphism, Single Nucleotide, Génétique & processus génétiques, Genetics, shared genetic background, Humans, Genetic Predisposition to Disease, Multifactorial Inheritance/genetics, Molecular Biology, low back pain, Genetics (clinical), genome-wide association study, Middle Aged, Life sciences, 3. Good health, subphenotyping, Phenotype, Back Pain, polygenic risk score, Sciences du vivant, Chronic Pain/genetics, Female, Chronic Pain, Genetic Background, Genome-Wide Association Study

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/39895344
https://hdl.handle.net/2268/335059
https://doi.org/10.1093/hmg/ddae195

The selection landscape and genetic legacy of ancient Eurasians

Autoren: Irving-Pease, EK Refoyo-Martínez, A Barrie, W et al.

Weitere Verfasser: Irving-Pease, EK Refoyo-Martínez, A Barrie, W et al.

Quelle: Nature
Irving-Pease, E K, Refoyo-Martínez, A, Barrie, W, Ingason, A, Pearson, A, Fischer, A, Sjögren, K-G, Halgren, A S, Macleod, R, Demeter, F, Henriksen, R A, Vimala, T, McColl, H, Vaughn, A H, Speidel, L, Stern, A J, Scorrano, G, Ramsøe, A, Schork, A J, Rosengren, A, Zhao, L, Kristiansen, K, Iversen, A K N, Fugger, L, Sudmant, P H, Lawson, D J, Durbin, R, Korneliussen, T, Werge, T, Allentoft, M E, Sikora, M, Nielsen, R, Racimo, F & Willerslev, E 2024, ' The selection landscape and genetic legacy of ancient Eurasians ', Nature, vol. 625, no. 7994, pp. 312-320 . https://doi.org/10.1038/s41586-023-06705-1
Nature, vol 625, iss 7994
Irving-Pease, E K, Refoyo-Martínez, A, Barrie, W, Ingason, A, Pearson, A, Fischer, A, Sjögren, K G, Halgren, A S, Macleod, R, Demeter, F, Henriksen, R A, Vimala, T, McColl, H, Vaughn, A H, Speidel, L, Stern, A J, Scorrano, G, Ramsøe, A, Schork, A J, Rosengren, A, Zhao, L, Kristiansen, K, Iversen, A K N, Fugger, L, Sudmant, P H, Lawson, D J, Durbin, R, Korneliussen, T, Werge, T, Allentoft, M E, Sikora, M, Nielsen, R, Racimo, F & Willerslev, E 2024, 'The selection landscape and genetic legacy of ancient Eurasians', Nature, vol. 625, no. 7994, pp. 312-320. https://doi.org/10.1038/s41586-023-06705-1

Schlagwörter: History, Multifactorial Inheritance, European People, Population genetics, Diabetes Mellitus/genetics, Historical Studies, History, Ancient, 2. Zero hunger, Asia/ethnology, Human/genetics, Genome, Farmers, Settore BIOS-03/B - Antropologia, Agriculture, Genomics, Multigene Family/genetics, Biological Sciences, Europe, Phenotype, Archaeology, Multigene Family, Agriculture/history, Genetic Loci/genetics, Human, UK Biobank, Asia, General Science & Technology, Human Migration, Settore BIO/08, Europe/ethnology, Evolutionary genetics, Article, Ancient, Genetic, Farmers/history, Alzheimer Disease, evolution, Genetics, Diabetes Mellitus, Hunting, Humans, Genetic Predisposition to Disease, Selection, Genetic, Heritage and Archaeology, Multifactorial Inheritance/genetics, Selection, Alleles, Alzheimer Disease/genetics, Hunting/history, Asian, Asian/genetics, Genome, Human, Molecular, 15. Life on land, Human Society, Affect, Good Health and Well Being, Genetic Loci, Anthropology, European People/genetics, 2.4 Surveillance and distribution

Dateibeschreibung: application/pdf; application/zip; text/xml

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/38200293
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https://www.repository.cam.ac.uk/handle/1810/363427
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https://www.repository.cam.ac.uk/handle/1810/363243
https://doi.org/10.1038/s41586-023-06705-1
https://www.repository.cam.ac.uk/handle/1810/358292
https://doi.org/10.17863/cam.102009
https://doi.org/10.1038/s41586-023-06705-1
https://discovery-pp.ucl.ac.uk/id/eprint/10186055/
https://escholarship.org/uc/item/11n930bt
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https://doi.org/10.1038/s41586-023-06705-1

Decomposing the genetic background of chronic back pain.

Autoren: Elgaeva, Elizaveta E Zorkoltseva, Irina V Nostaeva, Arina et al.

Quelle: Human Molecular Genetics, 34 (8), 711 - 725 (2025-04-06)

Schlagwörter: genome-wide association study, low back pain, polygenic risk score, shared genetic background, subphenotyping, Humans, Female, Male, Multifactorial Inheritance/genetics, Genome-Wide Association Study, Middle Aged, Phenotype, Polymorphism, Single Nucleotide, Adult, Back Pain/genetics, Chronic Pain/genetics, Genetic Predisposition to Disease, Genetic Background, Back Pain, Chronic Pain, Multifactorial Inheritance, Molecular Biology, Genetics, Genetics (clinical), Life sciences, Genetics & genetic processes, Sciences du vivant, Génétique & processus génétiques

Relation: https://academic.oup.com/hmg/article-pdf/34/8/711/61738796/ddae195.pdf; urn:issn:0964-6906; urn:issn:1460-2083

Zugangs-URL: https://orbi.uliege.be/handle/2268/335059

Polygenic profiles define aspects of clinical heterogeneity in attention deficit hyperactivity disorder

Autoren: Sonja LaBianca Isabell Brikell Dorte Helenius et al.

Quelle: LaBianca, S, Brikell, I, Helenius, D, Loughnan, R, Mefford, J, Palmer, C E, Walker, R, Gådin, J R, Krebs, M, Appadurai, V, Vaez, M, Agerbo, E, Pedersen, M G, Børglum, A D, Hougaard, D M, Mors, O, Nordentoft, M, Mortensen, P B, Kendler, K S, Jernigan, T L, Geschwind, D H, Ingason, A, Dahl, A W, Zaitlen, N, Dalsgaard, S, Werge, T M & Schork, A J 2024, ' Polygenic profiles define aspects of clinical heterogeneity in attention deficit hyperactivity disorder ', Nature Genetics, vol. 56, no. 2, pp. 234-244 . https://doi.org/10.1038/s41588-023-01593-7
Nature Genetics, vol 56, iss 2
LaBianca, S, Brikell, I, Helenius, D, Loughnan, R, Mefford, J, Palmer, C E, Walker, R, Gådin, J R, Krebs, M, Appadurai, V, Vaez, M, Agerbo, E, Pedersen, M G, Børglum, A D, Hougaard, D M, Mors, O, Nordentoft, M, Mortensen, P B, Kendler, K S, Jernigan, T L, Geschwind, D H, Ingason, A, Dahl, A W, Zaitlen, N, Dalsgaard, S, Werge, T M & Schork, A J 2024, 'Polygenic profiles define aspects of clinical heterogeneity in attention deficit hyperactivity disorder', Nature Genetics, vol. 56, no. 2, pp. 234-244. https://doi.org/10.1038/s41588-023-01593-7

Schlagwörter: Multifactorial Inheritance, Autism Spectrum Disorder, Intellectual and Developmental Disabilities (IDD), Autism, Agricultural biotechnology, Medical and Health Sciences, Clinical Research, 2.3 Psychological, Behavioral and Social Science, Genetics, 2.1 Biological and endogenous factors, Humans, Multifactorial Inheritance/genetics, Pediatric, Prevention, Human Genome, Biological Sciences, Mental Illness, Attention Deficit Hyperactivity Disorder (ADHD), Bioinformatics and computational biology, 3. Good health, Brain Disorders, Autism Spectrum Disorder/genetics, Mental Health, Good Health and Well Being, Attention Deficit Disorder with Hyperactivity, Mental health, social and economic factors, Attention Deficit Disorder with Hyperactivity/genetics, Developmental Biology

Dateibeschreibung: application/pdf

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/38036780
https://curis.ku.dk/ws/files/429031412/Polygenic_profiles.pdf
https://escholarship.org/content/qt2xs809ct/qt2xs809ct.pdf
https://escholarship.org/uc/item/2xs809ct
https://pure.au.dk/portal/en/publications/ef2e35b5-907f-4d60-b175-a532bb6a94f7
https://doi.org/10.1038/s41588-023-01593-7

Heritability of complex traits in sub-populations experiencing bottlenecks and growth

Autoren: Cameron S. Taylor Daniel J. Lawson

Quelle: J Hum Genet

Schlagwörter: 0301 basic medicine, Multifactorial Inheritance, Population, Polymorphism, Single Nucleotide, Article, Quantitative Trait, 03 medical and health sciences, Quantitative Trait, Heritable, Genetic, Models, Genetics, Humans, Computer Simulation, Polymorphism, Selection, Genetic, Multifactorial Inheritance/genetics, Heritable, Selection, 0303 health sciences, Models, Genetic, Single Nucleotide, Genetics, Population, Phenotype, Genome-Wide Association Study/methods, Genome-Wide Association Study

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/38589509

Transferability of European-derived Alzheimer’s disease polygenic risk scores across multiancestry populations

Autoren: Nicolas, Aude Sherva, Richard Grenier-Boley, Benjamin et al.

Weitere Verfasser: Nicolas, Aude Sherva, Richard Grenier-Boley, Benjamin et al.

Quelle: Nat Genet
Nature genetics 57(7), 1598-1610 (2025). doi:10.1038/s41588-025-02227-w
Nature genetics, vol. 57, no. 7, pp. 1598-1610
EADB, Leonard, H L, Yokoyama, J S, Nalls, M A, Miyashita, A, Hara, N, Ozaki, K, Niida, S, Williams, J, Masullo, C, Amouyel, P, Preux, P-M, Mbelesso, P, Bandzouzi, B, Saykin, A, Jessen, F, Kehoe, P G, van Duijn, C, Ben Salem, N, Frikke-Schmidt, R, Cherni, L, Greicius, M D, Tsolaki, M, Sanchez-Juan, P, Silva, M A R, Porter, T, Laws, S M, Sleegers, K, Ingelsson, M, Dartigues, J F, Seshadri, S, Rossi, G, Morelli, L, Hiltunen, M, Sims, R, van der Flier, W M, Andreassen, O A, Arboleda, H, Cruchaga, C, Escott-Price, V, Qvist Thomassen, J, Ruiz, A, Lee, K H, Ikeuchi, T, Ramirez, A, Gim, J, Logue, M W, Lambert, J C, Nordestgaard, B & Tybjærg-Hansen, A 2025, ' Transferability of European-derived Alzheimer's disease polygenic risk scores across multiancestry populations ', Nature Genetics, vol. 57, no. 7, pp. 1598-1610 . https://doi.org/10.1038/s41588-025-02227-w
In Review
medRxiv

Schlagwörter: Male, Multifactorial Inheritance, Letter, 3001 Agricultural biotechnology, epidemiology [Alzheimer Disease], genetics [White People], genetics [Alzheimer Disease], Alzheimer's disease, genetics, Polymorphism, Single Nucleotide, White People, 3105 Genetics, Medical Genetics and Genomics, EADB, Apolipoproteins E, Alzheimer Disease, Risk Factors, ddc:570, Humans, Genetic Predisposition to Disease, Alzheimer Disease/genetics, Alzheimer Disease/epidemiology, Alzheimer Disease/cerebrospinal fluid, Multifactorial Inheritance/genetics, White People/genetics, Genome-Wide Association Study, Europe/epidemiology, Apolipoproteins E/genetics, Female, Aged, Biomarkers/cerebrospinal fluid, Genetic Risk Score, genetics [Multifactorial Inheritance], 11 Medical and Health Sciences, Genetics & Heredity, Science & Technology, ASSOCIATION, epidemiology [Europe], 06 Biological Sciences, Medicinsk genetik och genomik, 3. Good health, Europe, cerebrospinal fluid [Alzheimer Disease], cerebrospinal fluid [Biomarkers], 3102 Bioinformatics and computational biology, genetics [Apolipoproteins E], Life Sciences & Biomedicine, Biomarkers, Developmental Biology

Dateibeschreibung: application/pdf

Zugangs-URL: https://hdl.handle.net/1871.1/9544cae8-656b-460b-9bda-8dfd97b7ac51
https://doi.org/10.1038/s41588-025-02227-w
https://research.vu.nl/en/publications/9544cae8-656b-460b-9bda-8dfd97b7ac51
https://pub.dzne.de/record/280053
https://resolver.sub.uni-goettingen.de/purl?gro-2/150076
https://serval.unil.ch/resource/serval:BIB_A8B020270FE0.P001/REF.pdf
https://serval.unil.ch/notice/serval:BIB_A8B020270FE0
http://nbn-resolving.org/urn/resolver.pl?urn=urn:nbn:ch:serval-BIB_A8B020270FE08
https://curis.ku.dk/ws/files/460186311/s41588-025-02227-w.pdf
http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-565104

Genetic Architecture and Risk of Childhood Maltreatment Across 5 Psychiatric Diagnoses

Autoren: Nielsen, Trine Tollerup Bali, Paraskevi Grove, Jakob et al.

Weitere Verfasser: Nielsen, Trine Tollerup Bali, Paraskevi Grove, Jakob et al.

Quelle: Nielsen, T T, Bali, P, Grove, J, Mohr-Jensen, C, Werge, T, Dalsgaard, S, Børglum, A D, Sonuga-Barke, E, Minnis, H, Demontis, D & Autism Spectrum Working Group of the Psychiatric Genomics Consortium 2025, 'Genetic Architecture and Risk of Childhood Maltreatment Across 5 Psychiatric Diagnoses', JAMA Psychiatry, vol. 82, no. 8, e0243639, pp. 790-800. https://doi.org/10.1001/jamapsychiatry.2025.0828
Nielsen, T T, Bali, P, Grove, J, Mohr-Jensen, C, Werge, T, Dalsgaard, S, Børglum, A D, Sonuga-Barke, E, Minnis, H, Corfield, E C, Tbartz van Elst, L, Mattheisen, M, de Wit, M M, Uddin, M J, Anney, R J L, Scherer, S W, Bourgeron, T, Polderman, T J C, Autism Spectrum Working Group of the Psychiatric Genomics Consortium & Demontis, D 2025, 'Genetic Architecture and Risk of Childhood Maltreatment Across 5 Psychiatric Diagnoses', JAMA Psychiatry. https://doi.org/10.1001/jamapsychiatry.2025.0828

Schlagwörter: Male, Adult, Mental Disorders/genetics, Schizophrenia/genetics, Adolescent, Bipolar Disorder/genetics, [SCCO.NEUR] Cognitive science/Neuroscience, Young Adult, Child Abuse/statistics & numerical data, Risk Factors, Case-Control Studies, Humans, Educational Status, Female, Genetic Predisposition to Disease, Adult Survivors of Child Abuse/psychology, Child, Attention Deficit Disorder with Hyperactivity/genetics, Multifactorial Inheritance/genetics, Substance-Related Disorders/genetics, Genome-Wide Association Study

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/40341348
https://vbn.aau.dk/da/publications/ef2e8192-d82c-4222-bdc2-a7bc70b34dae
https://doi.org/10.1001/jamapsychiatry.2025.0828
https://pure.amsterdamumc.nl/en/publications/bb46cecf-7df0-4803-8f48-63299544fa29
https://doi.org/10.1001/jamapsychiatry.2025.0828
https://vbn.aau.dk/da/publications/ef2e8192-d82c-4222-bdc2-a7bc70b34dae
http://www.scopus.com/inward/record.url?scp=105005290238&partnerID=8YFLogxK
https://doi.org/10.1001/jamapsychiatry.2025.0828
https://pasteur.hal.science/pasteur-05228329v1
https://doi.org/10.1001/jamapsychiatry.2025.0828
https://pure.au.dk/portal/en/publications/9eb7cba1-b489-40b7-b1f6-be67358eeccc
http://www.scopus.com/inward/record.url?scp=105005290238&partnerID=8YFLogxK
https://doi.org/10.1001/jamapsychiatry.2025.0828

Enhanced genetic fine mapping accuracy with Bayesian Linear Regression models in diverse genetic architectures

Autoren: Merina Shrestha Zhonghao Bai Tahereh Gholipourshahraki et al.

Quelle: Shrestha, M, Bai, Z, Gholipourshahraki, T, Hjelholt, A J, Hu, S, Kjolby, M, Rohde, P D & Sørensen, P 2025, 'Enhanced genetic fine mapping accuracy with Bayesian Linear Regression models in diverse genetic architectures', PLOS Genetics, vol. 21, no. 7, e1011783, pp. e1011783. https://doi.org/10.1371/journal.pgen.1011783
Shrestha, M, Bai, Z, Gholipourshahraki, T, Hjelholt, A J, Hu, S, Kjolby, M, Rohde, P D & Sørensen, P 2025, 'Enhanced genetic fine mapping accuracy with Bayesian Linear Regression models in diverse genetic architectures', PLOS Genetics, vol. 21, no. 7, e1011783. https://doi.org/10.1371/journal.pgen.1011783

Schlagwörter: Phenotype, Models, Genetic, Genome-Wide Association Study/methods, Linear Models, Humans, Bayes Theorem, Computer Simulation, Chromosome Mapping/methods, Polymorphism, Single Nucleotide/genetics, Quantitative Trait Loci/genetics, Multifactorial Inheritance/genetics

Dateibeschreibung: application/pdf

Zugangs-URL: https://vbn.aau.dk/da/publications/fd6df624-df6f-4a02-be00-225d1aaf18b6
https://vbn.aau.dk/ws/files/790405434/journal.pgen.1011783.pdf
http://www.scopus.com/inward/record.url?scp=105013156979&partnerID=8YFLogxK
https://doi.org/10.1371/journal.pgen.1011783
https://pure.au.dk/portal/en/publications/fe973afe-9c70-4298-87d1-b6687343d954
https://doi.org/10.1371/journal.pgen.1011783

Polygenic transcriptome risk scores enhance predictive accuracy in atopic dermatitis

Autoren: Antonatos, Charalabos Budu-Aggrey, Ashley Pontikas, Alexandros et al.

Quelle: Antonatos, C, Budu-Aggrey, A, Pontikas, A, Akritidis, A, Pasmatzi, E, Tsiogka, A, Gregoriou, S, Grafanaki, K, Paternoster, L & Vasilopoulos, Y 2025, 'Polygenic transcriptome risk scores enhance predictive accuracy in atopic dermatitis', Journal of Translational Medicine, vol. 23, no. 1, 575. https://doi.org/10.1186/s12967-025-06570-8

Schlagwörter: Humans, Dermatitis, Atopic/genetics, Transcriptome/genetics, Multifactorial Inheritance/genetics, Genetic Predisposition to Disease, Risk Factors, Female, Male, Middle Aged, Adult

Verfügbarkeit: https://hdl.handle.net/1983/6a122cbe-50b2-4582-ad97-2c3f0be22889
https://research-information.bris.ac.uk/en/publications/6a122cbe-50b2-4582-ad97-2c3f0be22889
https://doi.org/10.1186/s12967-025-06570-8