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A Meta-Analysis and Genome-Wide Association Study of Platelet Count and Mean Platelet Volume in African Americans

Authors :
Emile R. Mohler
Andrew B. Singleton
Tamara B. Harris
Charles Kooperberg
Michele K. Evans
Guillaume Lettre
Yongmei Liu
Mike A. Nalls
Aaron R. Folsom
Diane M. Becker
Leslie A. Lange
Benjamin A. Logsdon
Santhi K. Ganesh
Beverly M. Snively
Rehan Qayyum
Lisa R. Yanek
Melissa A. Austin
Lewis C. Becker
James G. Wilson
Weihong Tang
Alexander P. Reiner
Alan B. Zonderman
Elad Ziv
Visscher, Peter M
Source :
PLoS Genetics, PLoS genetics, vol 8, iss 3, PLoS Genetics, Vol 8, Iss 3, p e1002491 (2012)
Publication Year :
2012
Publisher :
Public Library of Science, 2012.

Abstract

Several genetic variants associated with platelet count and mean platelet volume (MPV) were recently reported in people of European ancestry. In this meta-analysis of 7 genome-wide association studies (GWAS) enrolling African Americans, our aim was to identify novel genetic variants associated with platelet count and MPV. For all cohorts, GWAS analysis was performed using additive models after adjusting for age, sex, and population stratification. For both platelet phenotypes, meta-analyses were conducted using inverse-variance weighted fixed-effect models. Platelet aggregation assays in whole blood were performed in the participants of the GeneSTAR cohort. Genetic variants in ten independent regions were associated with platelet count (N = 16,388) with p<br />Author Summary The majority of the variation in platelet count and mean platelet volume between individuals is heritable. We performed genome-wide association studies in more than 16,000 African American participants from seven population-based cohorts to identify genetic variants that correlate with variation in platelet count and mean platelet volume. We observed statistically significant evidence (p-value

Details

Language :
English
ISSN :
15537404 and 15537390
Volume :
8
Issue :
3
Database :
OpenAIRE
Journal :
PLoS Genetics
Accession number :
edsair.doi.dedup.....965bdbfea703e8c4db6601df378e77fe