Multiple loci influence erythrocyte phenotypes in the CHARGE Consortium
Santhi Ganesh and colleagues report meta-analyses of genome-wide association studies of six erythrocyte traits within the CHARGE consortium, with replication in cohorts of the HaemGen consortium. They report 23 loci associated with a range of clinically relevant red blood cell traits. Measurements o...
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| Veröffentlicht in: | Nature genetics Jg. 41; H. 11; S. 1191 - 1198 |
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| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
New York
Nature Publishing Group US
01.11.2009
Nature Publishing Group |
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| ISSN: | 1061-4036, 1546-1718, 1546-1718 |
| Online-Zugang: | Volltext |
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| Abstract | Santhi Ganesh and colleagues report meta-analyses of genome-wide association studies of six erythrocyte traits within the CHARGE consortium, with replication in cohorts of the HaemGen consortium. They report 23 loci associated with a range of clinically relevant red blood cell traits.
Measurements of erythrocytes within the blood are important clinical traits and can indicate various hematological disorders. We report here genome-wide association studies (GWAS) for six erythrocyte traits, including hemoglobin concentration (Hb), hematocrit (Hct), mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), mean corpuscular hemoglobin concentration (MCHC) and red blood cell count (RBC). We performed an initial GWAS in cohorts of the CHARGE Consortium totaling 24,167 individuals of European ancestry and replication in additional independent cohorts of the HaemGen Consortium totaling 9,456 individuals. We identified 23 loci significantly associated with these traits in a meta-analysis of the discovery and replication cohorts (combined
P
values ranging from 5 × 10
−8
to 7 × 10
−86
). Our findings include loci previously associated with these traits (
HBS1L-MYB
,
HFE
,
TMPRSS6
,
TFR2
,
SPTA1
) as well as new associations (
EPO
,
TFRC
,
SH2B3
and 15 other loci). This study has identified new determinants of erythrocyte traits, offering insight into common variants underlying variation in erythrocyte measures. |
|---|---|
| AbstractList | Erythrocyte measures are heritable and have important health implications, yet their genetic determinants are largely unknown. We performed genome-wide association analyses in 24,167 European-ancestry individuals for six erythrocyte traits and identified associations at 23 loci (P values 5×10-8 to 1×10-57). Replication testing in an independent set of 9,456 European-ancestry individuals showed strong evidence of association in all 23 loci in meta-analysis of the discovery and replication cohorts. Our findings include previously identified loci (HBS1L/MYB, HFE, TMPRSS6, TFR2, SPTA1) and novel associations (EPO, TFRC, SH2B3, and 15 other loci). This study has identified novel determinants of erythrocyte traits, offering insight into common variants underlying variation in erythrocyte measures. Measurements of erythrocytes within the blood are important clinical traits and can indicate various hematological disorders. We report here genome-wide association studies (GWAS) for six erythrocyte traits, including hemoglobin concentration (Hb), hematocrit (Hct), mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), mean corpuscular hemoglobin concentration (MCHC) and red blood cell count (RBC). We performed an initial GWAS in cohorts of the CHARGE Consortium totaling 24,167 individuals of European ancestry and replication in additional independent cohorts of the HaemGen Consortium totaling 9,456 individuals. We identified 23 loci significantly associated with these traits in a meta-analysis of the discovery and replication cohorts (combined P values ranging from 5 x [10.sup.-8] to 7 x [10.sup.-86]). Our findings include loci previously associated with these traits (HBS1L-MYB, HFE, TMPRSS6, TFR2, SPTA1) as well as new associations (EPO, TFRC, SH2B3 and 15 other loci). This study has identified new determinants of erythrocyte traits, offering insight into common variants underlying variation in erythrocyte measures. Measurements of erythrocytes within the blood are important clinical traits and can indicate various hematological disorders. We report here genome-wide association studies (GWAS) for six erythrocyte traits, including hemoglobin concentration (Hb), hematocrit (Hct), mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), mean corpuscular hemoglobin concentration (MCHC) and red blood cell count (RBC). We performed an initial GWAS in cohorts of the CHARGE Consortium totaling 24,167 individuals of European ancestry and replication in additional independent cohorts of the HaemGen Consortium totaling 9,456 individuals. We identified 23 loci significantly associated with these traits in a meta-analysis of the discovery and replication cohorts (combined P values ranging from 5 10 super(-8) to 7 10 super(-86)). Our findings include loci previously associated with these traits (HBS1L-MYB, HFE, TMPRSS6, TFR2, SPTA1) as well as new associations (EPO, TFRC, SH2B3 and 15 other loci). This study has identified new determinants of erythrocyte traits, offering insight into common variants underlying variation in erythrocyte measures. Santhi Ganesh and colleagues report meta-analyses of genome-wide association studies of six erythrocyte traits within the CHARGE consortium, with replication in cohorts of the HaemGen consortium. They report 23 loci associated with a range of clinically relevant red blood cell traits. Measurements of erythrocytes within the blood are important clinical traits and can indicate various hematological disorders. We report here genome-wide association studies (GWAS) for six erythrocyte traits, including hemoglobin concentration (Hb), hematocrit (Hct), mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), mean corpuscular hemoglobin concentration (MCHC) and red blood cell count (RBC). We performed an initial GWAS in cohorts of the CHARGE Consortium totaling 24,167 individuals of European ancestry and replication in additional independent cohorts of the HaemGen Consortium totaling 9,456 individuals. We identified 23 loci significantly associated with these traits in a meta-analysis of the discovery and replication cohorts (combined P values ranging from 5 × 10 −8 to 7 × 10 −86 ). Our findings include loci previously associated with these traits ( HBS1L-MYB , HFE , TMPRSS6 , TFR2 , SPTA1 ) as well as new associations ( EPO , TFRC , SH2B3 and 15 other loci). This study has identified new determinants of erythrocyte traits, offering insight into common variants underlying variation in erythrocyte measures. Measurements of erythrocytes within the blood are important clinical traits and can indicate various hematological disorders. We report here genome-wide association studies (GWAS) for six erythrocyte traits, including hemoglobin concentration (Hb), hematocrit (Hct), mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), mean corpuscular hemoglobin concentration (MCHC) and red blood cell count (RBC). We performed an initial GWAS in cohorts of the CHARGE Consortium totaling 24,167 individuals of European ancestry and replication in additional independent cohorts of the HaemGen Consortium totaling 9,456 individuals. We identified 23 loci significantly associated with these traits in a meta-analysis of the discovery and replication cohorts (combined P values ranging from 5 × 10^sup -8^ to 7 × 10^sup -86^). Our findings include loci previously associated with these traits (HBS1L-MYB, HFE, TMPRSS6, TFR2, SPTA1) as well as new associations (EPO, TFRC, SH2B3 and 15 other loci). This study has identified new determinants of erythrocyte traits, offering insight into common variants underlying variation in erythrocyte measures. [PUBLICATION ABSTRACT] Measurements of erythrocytes within the blood are important clinical traits and can indicate various hematological disorders. We report here genome-wide association studies (GWAS) for six erythrocyte traits, including hemoglobin concentration (Hb), hematocrit (Hct), mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), mean corpuscular hemoglobin concentration (MCHC) and red blood cell count (RBC). We performed an initial GWAS in cohorts of the CHARGE Consortium totaling 24,167 individuals of European ancestry and replication in additional independent cohorts of the HaemGen Consortium totaling 9,456 individuals. We identified 23 loci significantly associated with these traits in a meta-analysis of the discovery and replication cohorts (combined P values ranging from 5 x 10(-8) to 7 x 10(-86)). Our findings include loci previously associated with these traits (HBS1L-MYB, HFE, TMPRSS6, TFR2, SPTA1) as well as new associations (EPO, TFRC, SH2B3 and 15 other loci). This study has identified new determinants of erythrocyte traits, offering insight into common variants underlying variation in erythrocyte measures. Measurements of erythrocytes within the blood are important clinical traits and can indicate various hematological disorders. We report here genome-wide association studies (GWAS) for six erythrocyte traits, including hemoglobin concentration (Hb), hematocrit (Hct), mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), mean corpuscular hemoglobin concentration (MCHC) and red blood cell count (RBC). We performed an initial GWAS in cohorts of the CHARGE Consortium totaling 24,167 individuals of European ancestry and replication in additional independent cohorts of the HaemGen Consortium totaling 9,456 individuals. We identified 23 loci significantly associated with these traits in a meta-analysis of the discovery and replication cohorts (combined P values ranging from 5 x 10(-8) to 7 x 10(-86)). Our findings include loci previously associated with these traits (HBS1L-MYB, HFE, TMPRSS6, TFR2, SPTA1) as well as new associations (EPO, TFRC, SH2B3 and 15 other loci). This study has identified new determinants of erythrocyte traits, offering insight into common variants underlying variation in erythrocyte measures.Measurements of erythrocytes within the blood are important clinical traits and can indicate various hematological disorders. We report here genome-wide association studies (GWAS) for six erythrocyte traits, including hemoglobin concentration (Hb), hematocrit (Hct), mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), mean corpuscular hemoglobin concentration (MCHC) and red blood cell count (RBC). We performed an initial GWAS in cohorts of the CHARGE Consortium totaling 24,167 individuals of European ancestry and replication in additional independent cohorts of the HaemGen Consortium totaling 9,456 individuals. We identified 23 loci significantly associated with these traits in a meta-analysis of the discovery and replication cohorts (combined P values ranging from 5 x 10(-8) to 7 x 10(-86)). Our findings include loci previously associated with these traits (HBS1L-MYB, HFE, TMPRSS6, TFR2, SPTA1) as well as new associations (EPO, TFRC, SH2B3 and 15 other loci). This study has identified new determinants of erythrocyte traits, offering insight into common variants underlying variation in erythrocyte measures. |
| Audience | Academic |
| Author | Hernandez, Dena G Cupples, L Adrienne Furth, Susan Gudnason, Vilmundur Rotter, Jerome I Chen, Ming-Huei Yang, Qiong Harris, Tamara B Kuhnel, Brigitte Kottgen, Anna Nalls, Michael A Ehret, Georg B Thein, Swee-Lay Guralnik, Jack M Zwaginga, Jaap-Jan Aspelund, Thor Tanaka, Toshiko Deloukas, Panos Ganesh, Santhi K Eiriksdottir, Gudny Glazer, Nicole L Cushman, Mary Sambrook, Jennifer G van Rooij, Frank J A Felix, Janine F Lin, Jing-Ping Nauck, Matthias Witteman, Jacqueline C M Soranzo, Nicole Lumley, Thomas Uitterlinden, André G Greinacher, Andreas Hofman, Albert Ouwehand, Willem H Rendon, Augusto Coresh, Josef Zakai, Neil A O'Donnell, Christopher J Oostra, Ben A Patel, Kushang V Singleton, Andrew B Bis, Joshua C M Boerwinkle, Eric Dehghan, Abbas Jaffe, Andrew Verwoert, Germaine C Gieger, Christian Ferrucci, Luigi Psaty, Bruce M Bandinelli, Stefania Rice, Kenneth van Duijn, Cornelia M Smith, Albert V Launer, Lenore J Zheng, Gang vanGils, Janine M Teumer, Alexander Meisinger, Christa Levy, Daniel Spector, Tim D Chakravarti, Aravinda Fox, Caroline S |
| AuthorAffiliation | 32 Department of Clinical Chemistry, Erasmus MC, Rotterdam, the Netherlands 38 Institut für Klinische Chemie und Laboratoriumsmedizin, Ernst-Moritz-Arndt Universität Greifswald, Greifswald, 17487, Germany 16 Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, 85764, Germany 13 Department of Epidemiology, Johns Hopkins University, Baltimore, MD, USA 20 MedStar Research Institute, Hyattsville, MD, USA 5 Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands 12 Department of Neurology, Boston University School of Medicine, Boston, MA, USA 33 Leiden University Medical Center, Leiden, The Netherlands 21 Department of Internal Medicine, Erasmus MC, Rotterdam, the Netherlands 29 Intramural Research Program, Laboratory of Neurogenetics, National Institute on Aging, NIH, Bethesda, MD, USA 7 Human Genetics, Wellcome Trust Sanger Institute, Genome Campus, Hinxton, CB10 1SA, UK 8 Department of Twin Research and Genetic Epidemiology, K |
| AuthorAffiliation_xml | – name: 7 Human Genetics, Wellcome Trust Sanger Institute, Genome Campus, Hinxton, CB10 1SA, UK – name: 11 NHLBI’s Framingham Heart Study, Framingham, MA, USA – name: 39 Department of Epidemiology, University of Washington, Seattle, WA, USA – name: 3 McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University, Baltimore, MD, USA – name: 20 MedStar Research Institute, Hyattsville, MD, USA – name: 36 Department of Experimental Immunohematology, Sanquin Research, Amsterdam, The Netherlands – name: 4 Departments of Medicine and Pathology, University of Vermont, Burlington, VT, USA – name: 15 Cardiovascular Health Research Unit, University of Washington, Seattle, WA, USA – name: 27 Human Genetics Center, University of Texas Health Science Center, Houston, TX, USA – name: 37 Department of Haematology, King’s College London, London SE5 9NU – name: 43 Cardiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA – name: 13 Department of Epidemiology, Johns Hopkins University, Baltimore, MD, USA – name: 21 Department of Internal Medicine, Erasmus MC, Rotterdam, the Netherlands – name: 35 Department of Immunohematology and Blood Transfusion, Leiden University Medical Center, Leiden, Netherlands – name: 26 Department of Haematology, University of Cambridge and National Health Service Blood and Transplant, Long Road, Cambridge, CB2 0PT, UK – name: 32 Department of Clinical Chemistry, Erasmus MC, Rotterdam, the Netherlands – name: 5 Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands – name: 22 Interfaculty Institute for Genetics and Functional Genomics, Ernst-Moritz-Arndt-University Greifswald, 17487 Greifswald, Germany – name: 1 National Human Genome Research Institute, Division of Intramural Research, Bethesda, MD, USA – name: 14 Department of Medicine, University of Washington, Seattle, WA, USA – name: 18 Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA – name: 30 Division of Cardiovascular Sciences, Office of Biostatistical Research, National Heart, Lung and Blood Institute, National Institutes of Health, USA – name: 33 Leiden University Medical Center, Leiden, The Netherlands – name: 24 Cardiology Center, Geneva University Hospital, Switzerland – name: 34 Department of Clinical Genetics, Erasmus MC, Rotterdam, the Netherlands – name: 12 Department of Neurology, Boston University School of Medicine, Boston, MA, USA – name: 6 The Netherlands Genomics Initiative-sponsored Netherlands Consortium for Healthy Aging (NGINCHA) – name: 2 National Heart, Lung and Blood Institute, Division of Intramural Research, Bethesda, MD, USA – name: 16 Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, 85764, Germany – name: 42 Institut für Immunologie und Transfusionsmedizin, Ernst-Moritz-Arndt-Universität Greifswald, Greifswald, D-17487, Germany – name: 41 Group Health Research Institute, Group Health, Seattle, WA, USA – name: 17 University of Iceland, Reykjavik, Iceland – name: 8 Department of Twin Research and Genetic Epidemiology, King’s College London, Lambeth Palace Rd, London, SE1 7EH, UK – name: 44 Department of Pediatrics, Johns Hopkins School of Medicine, Baltimore, MD, USA – name: 10 Laboratory of Neurogenetics, National Institute of Aging, NIH, Bethesda, MD, USA – name: 29 Intramural Research Program, Laboratory of Neurogenetics, National Institute on Aging, NIH, Bethesda, MD, USA – name: 38 Institut für Klinische Chemie und Laboratoriumsmedizin, Ernst-Moritz-Arndt Universität Greifswald, Greifswald, 17487, Germany – name: 19 Longitudinal Studies Section - Clinical Research Branch., National Institute of Aging, NIH, Baltimore, MD, USA – name: 31 Geriatric Unit ASF, Firenze, Italy – name: 28 Medical Genetics Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA – name: 9 Icelandic Heart Association, Kopavogur, Iceland – name: 40 Department of Health Services, University of Washington, Seattle, WA, USA – name: 23 Laboratory for Epidemiology, Demography, and Biometry, National Institute of Aging, NIH, Bethesda, MD, USA – name: 25 Department of Biostatistics, University of Washington, Seattle, WA, USA |
| Author_xml | – sequence: 1 givenname: Santhi K surname: Ganesh fullname: Ganesh, Santhi K email: ganeshs@mail.nih.gov organization: Division of Intramural Research, National Human Genome Research Institute, Division of Intramural Research, National Heart, Lung, and Blood Institute (NHLBI), McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University – sequence: 2 givenname: Neil A surname: Zakai fullname: Zakai, Neil A organization: Departments of Medicine and Pathology, University of Vermont – sequence: 3 givenname: Frank J A surname: van Rooij fullname: van Rooij, Frank J A organization: Department of Epidemiology, Erasmus Medical Center (MC), The Netherlands Genomics Initiative–sponsored Netherlands Consortium for Healthy Aging (NGI-NCHA) – sequence: 4 givenname: Nicole surname: Soranzo fullname: Soranzo, Nicole organization: Human Genetics, Wellcome Trust Sanger Institute, Genome Campus, Department of Twin Research and Genetic Epidemiology, King's College London – sequence: 5 givenname: Albert V surname: Smith fullname: Smith, Albert V organization: Icelandic Heart Association – sequence: 6 givenname: Michael A surname: Nalls fullname: Nalls, Michael A organization: Laboratory of Neurogenetics, National Institute of Aging (NIA), National Institutes of Health (NIH) – sequence: 7 givenname: Ming-Huei surname: Chen fullname: Chen, Ming-Huei organization: NHLBI's Framingham Heart Study, Department of Neurology, Boston University School of Medicine – sequence: 8 givenname: Anna surname: Kottgen fullname: Kottgen, Anna organization: Department of Epidemiology, Johns Hopkins University – sequence: 9 givenname: Nicole L surname: Glazer fullname: Glazer, Nicole L organization: Department of Medicine, University of Washington, Cardiovascular Health Research Unit, University of Washington – sequence: 10 givenname: Abbas surname: Dehghan fullname: Dehghan, Abbas organization: Department of Epidemiology, Erasmus Medical Center (MC), The Netherlands Genomics Initiative–sponsored Netherlands Consortium for Healthy Aging (NGI-NCHA) – sequence: 11 givenname: Brigitte surname: Kuhnel fullname: Kuhnel, Brigitte organization: Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health – sequence: 12 givenname: Thor surname: Aspelund fullname: Aspelund, Thor organization: Icelandic Heart Association, University of Iceland – sequence: 13 givenname: Qiong surname: Yang fullname: Yang, Qiong organization: NHLBI's Framingham Heart Study, Department of Biostatistics, Boston University School of Public Health – sequence: 14 givenname: Toshiko surname: Tanaka fullname: Tanaka, Toshiko organization: Longitudinal Studies Section–Clinical Research Branch, NIA, NIH, MedStar Research Institute – sequence: 15 givenname: Andrew surname: Jaffe fullname: Jaffe, Andrew organization: Department of Epidemiology, Johns Hopkins University – sequence: 16 givenname: Joshua C M surname: Bis fullname: Bis, Joshua C M organization: Cardiovascular Health Research Unit, University of Washington – sequence: 17 givenname: Germaine C surname: Verwoert fullname: Verwoert, Germaine C organization: Department of Epidemiology, Erasmus Medical Center (MC), The Netherlands Genomics Initiative–sponsored Netherlands Consortium for Healthy Aging (NGI-NCHA), Department of Internal Medicine, Erasmus Medical Center – sequence: 18 givenname: Alexander surname: Teumer fullname: Teumer, Alexander organization: Interfaculty Institute for Genetics and Functional Genomics, Ernst-Moritz-Arndt-Universität Greifswald – sequence: 19 givenname: Caroline S surname: Fox fullname: Fox, Caroline S organization: Division of Intramural Research, National Heart, Lung, and Blood Institute (NHLBI), NHLBI's Framingham Heart Study – sequence: 20 givenname: Jack M surname: Guralnik fullname: Guralnik, Jack M organization: Laboratory for Epidemiology, Demography, and Biometry, NIA, NIH – sequence: 21 givenname: Georg B surname: Ehret fullname: Ehret, Georg B organization: McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University, Cardiology Center, Geneva University Hospital – sequence: 22 givenname: Kenneth surname: Rice fullname: Rice, Kenneth organization: Department of Biostatistics, University of Washington – sequence: 23 givenname: Janine F surname: Felix fullname: Felix, Janine F organization: Department of Epidemiology, Erasmus Medical Center (MC), The Netherlands Genomics Initiative–sponsored Netherlands Consortium for Healthy Aging (NGI-NCHA) – sequence: 24 givenname: Augusto surname: Rendon fullname: Rendon, Augusto organization: Department of Haematology, University of Cambridge and National Health Service Blood and Transplant – sequence: 25 givenname: Gudny surname: Eiriksdottir fullname: Eiriksdottir, Gudny organization: Icelandic Heart Association – sequence: 26 givenname: Daniel surname: Levy fullname: Levy, Daniel organization: Division of Intramural Research, National Heart, Lung, and Blood Institute (NHLBI), NHLBI's Framingham Heart Study – sequence: 27 givenname: Kushang V surname: Patel fullname: Patel, Kushang V organization: Laboratory for Epidemiology, Demography, and Biometry, NIA, NIH – sequence: 28 givenname: Eric surname: Boerwinkle fullname: Boerwinkle, Eric organization: Human Genetics Center, University of Texas Health Science Center – sequence: 29 givenname: Jerome I surname: Rotter fullname: Rotter, Jerome I organization: Medical Genetics Institute, Cedars-Sinai Medical Center – sequence: 30 givenname: Albert surname: Hofman fullname: Hofman, Albert organization: Department of Epidemiology, Erasmus Medical Center (MC), The Netherlands Genomics Initiative–sponsored Netherlands Consortium for Healthy Aging (NGI-NCHA) – sequence: 31 givenname: Jennifer G surname: Sambrook fullname: Sambrook, Jennifer G organization: Department of Haematology, University of Cambridge and National Health Service Blood and Transplant – sequence: 32 givenname: Dena G surname: Hernandez fullname: Hernandez, Dena G organization: Intramural Research Program, Laboratory of Neurogenetics, NIA, NIH – sequence: 33 givenname: Gang surname: Zheng fullname: Zheng, Gang organization: Division of Cardiovascular Sciences, Office of Biostatistical Research, NHLBI, NIH – sequence: 34 givenname: Stefania surname: Bandinelli fullname: Bandinelli, Stefania organization: Geriatric Unit ASF – sequence: 35 givenname: Andrew B surname: Singleton fullname: Singleton, Andrew B organization: Laboratory of Neurogenetics, National Institute of Aging (NIA), National Institutes of Health (NIH) – sequence: 36 givenname: Josef surname: Coresh fullname: Coresh, Josef organization: Department of Epidemiology, Johns Hopkins University – sequence: 37 givenname: Thomas surname: Lumley fullname: Lumley, Thomas organization: Department of Biostatistics, University of Washington – sequence: 38 givenname: André G surname: Uitterlinden fullname: Uitterlinden, André G organization: Department of Epidemiology, Erasmus Medical Center (MC), The Netherlands Genomics Initiative–sponsored Netherlands Consortium for Healthy Aging (NGI-NCHA), Department of Internal Medicine, Erasmus Medical Center, Department of Clinical Chemistry, Erasmus Medical Center – sequence: 39 givenname: Janine M surname: vanGils fullname: vanGils, Janine M organization: Leiden University Medical Center – sequence: 40 givenname: Lenore J surname: Launer fullname: Launer, Lenore J organization: Laboratory for Epidemiology, Demography, and Biometry, NIA, NIH – sequence: 41 givenname: L Adrienne surname: Cupples fullname: Cupples, L Adrienne organization: Department of Twin Research and Genetic Epidemiology, King's College London, NHLBI's Framingham Heart Study – sequence: 42 givenname: Ben A surname: Oostra fullname: Oostra, Ben A organization: Department of Epidemiology, Erasmus Medical Center (MC), The Netherlands Genomics Initiative–sponsored Netherlands Consortium for Healthy Aging (NGI-NCHA), Department of Clinical Genetics, Erasmus Medical Center – sequence: 43 givenname: Jaap-Jan surname: Zwaginga fullname: Zwaginga, Jaap-Jan organization: Department of Immunohematology and Blood Transfusion, Leiden University Medical Center, Department of Experimental Immunohematology, Sanquin Research – sequence: 44 givenname: Willem H surname: Ouwehand fullname: Ouwehand, Willem H organization: Human Genetics, Wellcome Trust Sanger Institute, Genome Campus, Department of Haematology, University of Cambridge and National Health Service Blood and Transplant – sequence: 45 givenname: Swee-Lay surname: Thein fullname: Thein, Swee-Lay organization: Department of Haematology, King's College London – sequence: 46 givenname: Christa surname: Meisinger fullname: Meisinger, Christa organization: Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health – sequence: 47 givenname: Panos surname: Deloukas fullname: Deloukas, Panos organization: Human Genetics, Wellcome Trust Sanger Institute, Genome Campus – sequence: 48 givenname: Matthias surname: Nauck fullname: Nauck, Matthias organization: Institut für Klinische Chemie und Laboratoriumsmedizin, Ernst-Moritz-Arndt Universität Greifswald – sequence: 49 givenname: Tim D surname: Spector fullname: Spector, Tim D organization: Department of Twin Research and Genetic Epidemiology, King's College London – sequence: 50 givenname: Christian surname: Gieger fullname: Gieger, Christian organization: Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health – sequence: 51 givenname: Vilmundur surname: Gudnason fullname: Gudnason, Vilmundur organization: Icelandic Heart Association, University of Iceland – sequence: 52 givenname: Cornelia M surname: van Duijn fullname: van Duijn, Cornelia M organization: Department of Epidemiology, Erasmus Medical Center (MC), The Netherlands Genomics Initiative–sponsored Netherlands Consortium for Healthy Aging (NGI-NCHA) – sequence: 53 givenname: Bruce M surname: Psaty fullname: Psaty, Bruce M organization: Department of Medicine, University of Washington, Cardiovascular Health Research Unit, University of Washington, Department of Epidemiology, University of Washington, Department of Health Services, University of Washington, Group Health Research Institute, Group Health – sequence: 54 givenname: Luigi surname: Ferrucci fullname: Ferrucci, Luigi organization: Longitudinal Studies Section–Clinical Research Branch, NIA, NIH – sequence: 55 givenname: Aravinda surname: Chakravarti fullname: Chakravarti, Aravinda organization: McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University – sequence: 56 givenname: Andreas surname: Greinacher fullname: Greinacher, Andreas organization: Institut für Immunologie und Transfusionsmedizin, Ernst-Moritz-Arndt-Universität Greifswald – sequence: 57 givenname: Christopher J surname: O'Donnell fullname: O'Donnell, Christopher J email: odonnellc@mail.nih.gov organization: Division of Intramural Research, National Heart, Lung, and Blood Institute (NHLBI), NHLBI's Framingham Heart Study, Cardiology Division, Massachusetts General Hospital, Harvard Medical School – sequence: 58 givenname: Jacqueline C M surname: Witteman fullname: Witteman, Jacqueline C M organization: Department of Epidemiology, Erasmus Medical Center (MC), The Netherlands Genomics Initiative–sponsored Netherlands Consortium for Healthy Aging (NGI-NCHA) – sequence: 59 givenname: Susan surname: Furth fullname: Furth, Susan organization: Department of Pediatrics, Johns Hopkins School of Medicine – sequence: 60 givenname: Mary surname: Cushman fullname: Cushman, Mary organization: Departments of Medicine and Pathology, University of Vermont – sequence: 61 givenname: Tamara B surname: Harris fullname: Harris, Tamara B organization: Laboratory for Epidemiology, Demography, and Biometry, NIA, NIH – sequence: 62 givenname: Jing-Ping surname: Lin fullname: Lin, Jing-Ping organization: Division of Cardiovascular Sciences, Office of Biostatistical Research, NHLBI, NIH |
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| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 CHS: Study design and phenotype collection, BMP, JIR, MC, NAZ, NLG; Genotyping, JIR; data analysis, NLG, TL; manuscript preparation, NAZ; manuscript revisions BMP, JCB, KR, JLR, MC, NAZ, NLG, TL FHS: Study design and phenotype collection, MHC, QY, CSF, DL, LAC, CJO, JPL; Genotyping,; data analysis, MHC, QY, JPL; manuscript preparation, MHC, CJO, JPL; manuscript revisions, MHC, QY, CSF, DL, LAC, CJO, JPL. HaemGen ARIC: Study design and phenotype collection, EB, JC, SF, AC; Genotyping, EB, AC; data analysis, SKG, AK, AC, AG, GBE; manuscript preparation, SKG, SF; manuscript revisions, SKG, AC, EB, JC, AK, SF. Authors indicated by an asterisk (*) contributed equally as junior authors SHIP: Study design and phenotype collection, MN, AG; data analysis, AT Authors indicated by a caret (^) contributed equally as senior authors TwinsUK: Study design and phenotype collection, TDS, SLT, PD; data analysis, NS; manuscript preparation NS, manuscript revisions, NS KORA: Study design and phenotype collection, CM, CG; data analysis, CG, BK; manuscript preparation CG, manuscript revisions, CG Gene expression: AR, JJZ, JMvG Rotterdam: Study design and phenotype collection, FJAR, AH, AGU, BAO, CMD, JCMW; Genotyping, AGU; data analysis, FJAR, JFF, AD, GCV; manuscript preparation, FJAR, JFF, CMD; manuscript revisions FJAR, JFF, AD, GCV, AH, AGU, BAO, CMD, JCMW AGES: Study design and phenotype collection, TBH,VG,LJL; Genotyping,; data analysis, AVS, MAN,TA; manuscript preparation, MAN, NS; manuscript revisions, TBH,VG,LJL, AVS, ABS, DGH, MAN InCHIANTI: Study design and phenotype collection, LF,JMG,SB; Genotyping, ; data analysis, MAN,TT; manuscript preparation, MAN; Manuscript revisions, LF, JMG, SB, KVP, ABS, DGH, MAN, TT UKBS1: Study design and phenotype collection, WHO, JGS; data analysis, NS; manuscript preparation NS, AR, manuscript revisions, NS, AR Author Contributions CHARGE Genotyping, AR, JJZ, JMvG |
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| PublicationTitle | Nature genetics |
| PublicationTitleAbbrev | Nat Genet |
| PublicationTitleAlternate | Nat Genet |
| PublicationYear | 2009 |
| Publisher | Nature Publishing Group US Nature Publishing Group |
| Publisher_xml | – name: Nature Publishing Group US – name: Nature Publishing Group |
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| Snippet | Santhi Ganesh and colleagues report meta-analyses of genome-wide association studies of six erythrocyte traits within the CHARGE consortium, with replication... Measurements of erythrocytes within the blood are important clinical traits and can indicate various hematological disorders. We report here genome-wide... Erythrocyte measures are heritable and have important health implications, yet their genetic determinants are largely unknown. We performed genome-wide... |
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| SubjectTerms | Agriculture Animal Genetics and Genomics Biological and medical sciences Biomedical and Life Sciences Biomedicine Blood diseases Blood pressure Blood Pressure - genetics Cancer Research Cell Line Clinical medicine Cohort Studies Data analysis Endothelial Cells - metabolism Erythrocytes Erythrocytes - metabolism Fundamental and applied biological sciences. Psychology Gene Expression Gene Function Genetic aspects Genetic disorders Genetics of eukaryotes. Biological and molecular evolution Genome, Human Genome-Wide Association Study Genotype & phenotype Hemoglobin Human Genetics Humans Hypertension - genetics Inflation Meta-analysis Phenotype Physiological aspects Polymorphism, Single Nucleotide Quantitative Trait Loci Sample size |
| Title | Multiple loci influence erythrocyte phenotypes in the CHARGE Consortium |
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