Title |
Platelet-Related Variants Identified by Exomechip Meta-analysis in 157,293 Individuals
|
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Published in |
American Journal of Human Genetics, June 2016
|
DOI | 10.1016/j.ajhg.2016.05.005 |
Pubmed ID | |
Authors |
John D. Eicher, Nathalie Chami, Tim Kacprowski, Akihiro Nomura, Ming-Huei Chen, Lisa R. Yanek, Salman M. Tajuddin, Ursula M. Schick, Andrew J. Slater, Nathan Pankratz, Linda Polfus, Claudia Schurmann, Ayush Giri, Jennifer A. Brody, Leslie A. Lange, Ani Manichaikul, W. David Hill, Raha Pazoki, Paul Elliot, Evangelos Evangelou, Ioanna Tzoulaki, He Gao, Anne-Claire Vergnaud, Rasika A. Mathias, Diane M. Becker, Lewis C. Becker, Amber Burt, David R. Crosslin, Leo-Pekka Lyytikäinen, Kjell Nikus, Jussi Hernesniemi, Mika Kähönen, Emma Raitoharju, Nina Mononen, Olli T. Raitakari, Terho Lehtimäki, Mary Cushman, Neil A. Zakai, Deborah A. Nickerson, Laura M. Raffield, Rakale Quarells, Cristen J. Willer, Gina M. Peloso, Goncalo R. Abecasis, Dajiang J. Liu, Global Lipids Genetics Consortium, Panos Deloukas, Nilesh J. Samani, Heribert Schunkert, Jeanette Erdmann, CARDIoGRAM Exome Consortium, Myocardial Infarction Genetics Consortium, Myriam Fornage, Melissa Richard, Jean-Claude Tardif, John D. Rioux, Marie-Pierre Dube, Simon de Denus, Yingchang Lu, Erwin P. Bottinger, Ruth J.F. Loos, Albert Vernon Smith, Tamara B. Harris, Lenore J. Launer, Vilmundur Gudnason, Digna R. Velez Edwards, Eric S. Torstenson, Yongmei Liu, Russell P. Tracy, Jerome I. Rotter, Stephen S. Rich, Heather M. Highland, Eric Boerwinkle, Jin Li, Ethan Lange, James G. Wilson, Evelin Mihailov, Reedik Mägi, Joel Hirschhorn, Andres Metspalu, Tõnu Esko, Caterina Vacchi-Suzzi, Mike A. Nalls, Alan B. Zonderman, Michele K. Evans, Gunnar Engström, Marju Orho-Melander, Olle Melander, Michelle L. O’Donoghue, Dawn M. Waterworth, Lars Wallentin, Harvey D. White, James S. Floyd, Traci M. Bartz, Kenneth M. Rice, Bruce M. Psaty, J.M. Starr, David C.M. Liewald, Caroline Hayward, Ian J. Deary, Andreas Greinacher, Uwe Völker, Thomas Thiele, Henry Völzke, Frank J.A. van Rooij, André G. Uitterlinden, Oscar H. Franco, Abbas Dehghan, Todd L. Edwards, Santhi K. Ganesh, Sekar Kathiresan, Nauder Faraday, Paul L. Auer, Alex P. Reiner, Guillaume Lettre, Andrew D. Johnson |
Abstract |
Platelet production, maintenance, and clearance are tightly controlled processes indicative of platelets' important roles in hemostasis and thrombosis. Platelets are common targets for primary and secondary prevention of several conditions. They are monitored clinically by complete blood counts, specifically with measurements of platelet count (PLT) and mean platelet volume (MPV). Identifying genetic effects on PLT and MPV can provide mechanistic insights into platelet biology and their role in disease. Therefore, we formed the Blood Cell Consortium (BCX) to perform a large-scale meta-analysis of Exomechip association results for PLT and MPV in 157,293 and 57,617 individuals, respectively. Using the low-frequency/rare coding variant-enriched Exomechip genotyping array, we sought to identify genetic variants associated with PLT and MPV. In addition to confirming 47 known PLT and 20 known MPV associations, we identified 32 PLT and 18 MPV associations not previously observed in the literature across the allele frequency spectrum, including rare large effect (FCER1A), low-frequency (IQGAP2, MAP1A, LY75), and common (ZMIZ2, SMG6, PEAR1, ARFGAP3/PACSIN2) variants. Several variants associated with PLT/MPV (PEAR1, MRVI1, PTGES3) were also associated with platelet reactivity. In concurrent BCX analyses, there was overlap of platelet-associated variants with red (MAP1A, TMPRSS6, ZMIZ2) and white (PEAR1, ZMIZ2, LY75) blood cell traits, suggesting common regulatory pathways with shared genetic architecture among these hematopoietic lineages. Our large-scale Exomechip analyses identified previously undocumented associations with platelet traits and further indicate that several complex quantitative hematological, lipid, and cardiovascular traits share genetic factors. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 36% |
Comoros | 1 | 7% |
Netherlands | 1 | 7% |
United Kingdom | 1 | 7% |
Unknown | 6 | 43% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 8 | 57% |
Members of the public | 5 | 36% |
Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Sweden | 1 | <1% |
Belgium | 1 | <1% |
Unknown | 132 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 24 | 18% |
Student > Ph. D. Student | 15 | 11% |
Other | 12 | 9% |
Student > Master | 9 | 7% |
Professor | 9 | 7% |
Other | 30 | 22% |
Unknown | 35 | 26% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 24 | 18% |
Biochemistry, Genetics and Molecular Biology | 18 | 13% |
Agricultural and Biological Sciences | 17 | 13% |
Pharmacology, Toxicology and Pharmaceutical Science | 5 | 4% |
Computer Science | 4 | 3% |
Other | 21 | 16% |
Unknown | 45 | 34% |