William J Astle, Heather Elding, Tao Jiang, Dave Allen, Dace Ruklisa, Alice L Mann, Daniel Mead, Heleen Bouman, Fernando Riveros-Mckay, Myrto A Kostadima, John J Lambourne, Suthesh Sivapalaratnam, Kate Downes, Kousik Kundu, Lorenzo Bomba, Kim Berentsen, John R Bradley, Louise C Daugherty, Olivier Delaneau, Kathleen Freson, Stephen F Garner, Luigi Grassi, Jose Guerrero, Matthias Haimel, Eva M Janssen-Megens, Anita Kaan, Mihir Kamat, Bowon Kim, Amit Mandoli, Jonathan Marchini, Joost H A Martens, Stuart Meacham, Karyn Megy, Jared O'Connell, Romina Petersen, Nilofar Sharifi, Simon M Sheard, James R Staley, Salih Tuna, Martijn van der Ent, Klaudia Walter, Shuang-Yin Wang, Eleanor Wheeler, Steven P Wilder, Valentina Iotchkova, Carmel Moore, Jennifer Sambrook, Hendrik G Stunnenberg, Emanuele Di Angelantonio, Stephen Kaptoge, Taco W Kuijpers, Enrique Carrillo-de-Santa-Pau, David Juan, Daniel Rico, Alfonso Valencia, Lu Chen, Bing Ge, Louella Vasquez, Tony Kwan, Diego Garrido-Martín, Stephen Watt, Ying Yang, Roderic Guigo, Stephan Beck, Dirk S Paul, Tomi Pastinen, David Bujold, Guillaume Bourque, Mattia Frontini, John Danesh, David J Roberts, Willem H Ouwehand, Adam S Butterworth, Nicole Soranzo
{"title":"The Allelic Landscape of Human Blood Cell Trait Variation and Links to Common Complex Disease.","authors":"William J Astle, Heather Elding, Tao Jiang, Dave Allen, Dace Ruklisa, Alice L Mann, Daniel Mead, Heleen Bouman, Fernando Riveros-Mckay, Myrto A Kostadima, John J Lambourne, Suthesh Sivapalaratnam, Kate Downes, Kousik Kundu, Lorenzo Bomba, Kim Berentsen, John R Bradley, Louise C Daugherty, Olivier Delaneau, Kathleen Freson, Stephen F Garner, Luigi Grassi, Jose Guerrero, Matthias Haimel, Eva M Janssen-Megens, Anita Kaan, Mihir Kamat, Bowon Kim, Amit Mandoli, Jonathan Marchini, Joost H A Martens, Stuart Meacham, Karyn Megy, Jared O'Connell, Romina Petersen, Nilofar Sharifi, Simon M Sheard, James R Staley, Salih Tuna, Martijn van der Ent, Klaudia Walter, Shuang-Yin Wang, Eleanor Wheeler, Steven P Wilder, Valentina Iotchkova, Carmel Moore, Jennifer Sambrook, Hendrik G Stunnenberg, Emanuele Di Angelantonio, Stephen Kaptoge, Taco W Kuijpers, Enrique Carrillo-de-Santa-Pau, David Juan, Daniel Rico, Alfonso Valencia, Lu Chen, Bing Ge, Louella Vasquez, Tony Kwan, Diego Garrido-Martín, Stephen Watt, Ying Yang, Roderic Guigo, Stephan Beck, Dirk S Paul, Tomi Pastinen, David Bujold, Guillaume Bourque, Mattia Frontini, John Danesh, David J Roberts, Willem H Ouwehand, Adam S Butterworth, Nicole Soranzo","doi":"10.1016/j.cell.2016.10.042","DOIUrl":null,"url":null,"abstract":"<p><p>Many common variants have been associated with hematological traits, but identification of causal genes and pathways has proven challenging. We performed a genome-wide association analysis in the UK Biobank and INTERVAL studies, testing 29.5 million genetic variants for association with 36 red cell, white cell, and platelet properties in 173,480 European-ancestry participants. This effort yielded hundreds of low frequency (<5%) and rare (<1%) variants with a strong impact on blood cell phenotypes. Our data highlight general properties of the allelic architecture of complex traits, including the proportion of the heritable component of each blood trait explained by the polygenic signal across different genome regulatory domains. Finally, through Mendelian randomization, we provide evidence of shared genetic pathways linking blood cell indices with complex pathologies, including autoimmune diseases, schizophrenia, and coronary heart disease and evidence suggesting previously reported population associations between blood cell indices and cardiovascular disease may be non-causal.</p>","PeriodicalId":9656,"journal":{"name":"Cell","volume":"167 5","pages":"1415-1429.e19"},"PeriodicalIF":42.5000,"publicationDate":"2016-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5300907/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cell","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1016/j.cell.2016.10.042","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Many common variants have been associated with hematological traits, but identification of causal genes and pathways has proven challenging. We performed a genome-wide association analysis in the UK Biobank and INTERVAL studies, testing 29.5 million genetic variants for association with 36 red cell, white cell, and platelet properties in 173,480 European-ancestry participants. This effort yielded hundreds of low frequency (<5%) and rare (<1%) variants with a strong impact on blood cell phenotypes. Our data highlight general properties of the allelic architecture of complex traits, including the proportion of the heritable component of each blood trait explained by the polygenic signal across different genome regulatory domains. Finally, through Mendelian randomization, we provide evidence of shared genetic pathways linking blood cell indices with complex pathologies, including autoimmune diseases, schizophrenia, and coronary heart disease and evidence suggesting previously reported population associations between blood cell indices and cardiovascular disease may be non-causal.
期刊介绍:
Cells is an international, peer-reviewed, open access journal that focuses on cell biology, molecular biology, and biophysics. It is affiliated with several societies, including the Spanish Society for Biochemistry and Molecular Biology (SEBBM), Nordic Autophagy Society (NAS), Spanish Society of Hematology and Hemotherapy (SEHH), and Society for Regenerative Medicine (Russian Federation) (RPO).
The journal publishes research findings of significant importance in various areas of experimental biology, such as cell biology, molecular biology, neuroscience, immunology, virology, microbiology, cancer, human genetics, systems biology, signaling, and disease mechanisms and therapeutics. The primary criterion for considering papers is whether the results contribute to significant conceptual advances or raise thought-provoking questions and hypotheses related to interesting and important biological inquiries.
In addition to primary research articles presented in four formats, Cells also features review and opinion articles in its "leading edge" section, discussing recent research advancements and topics of interest to its wide readership.