Back to Search Start Over

Genome-wide Association Analysis of Blood-Pressure Traits in African-Ancestry Individuals Reveals Common Associated Genes in African and Non-African Populations

Authors :
Nora Franceschini
Ervin Fox
Zhaogong Zhang
Todd L. Edwards
Michael A. Nalls
Yun Ju Sung
Bamidele O. Tayo
Yan V. Sun
Omri Gottesman
Adebawole Adeyemo
Andrew D. Johnson
J. Hunter Young
Ken Rice
Qing Duan
Fang Chen
Yun Li
Hua Tang
Myriam Fornage
Keith L. Keene
Jeanette S. Andrews
Jennifer A. Smith
Jessica D. Faul
Zhang Guangfa
Wei Guo
Yu Liu
Sarah S. Murray
Solomon K. Musani
Sathanur Srinivasan
Digna R. Velez Edwards
Heming Wang
Lewis C. Becker
Pascal Bovet
Murielle Bochud
Ulrich Broeckel
Michel Burnier
Cara Carty
Daniel I. Chasman
Georg Ehret
Wei-Min Chen
Guanjie Chen
Wei Chen
Jingzhong Ding
Albert W. Dreisbach
Michele K. Evans
Xiuqing Guo
Melissa E. Garcia
Rich Jensen
Margaux F. Keller
Guillaume Lettre
Vaneet Lotay
Lisa W. Martin
Jason H. Moore
Alanna C. Morrison
Thomas H. Mosley
Adesola Ogunniyi
Walter Palmas
George Papanicolaou
Alan Penman
Joseph F. Polak
Paul M. Ridker
Babatunde Salako
Andrew B. Singleton
Daniel Shriner
Kent D. Taylor
Ramachandran Vasan
Kerri Wiggins
Scott M. Williams
Lisa R. Yanek
Wei Zhao
Alan B. Zonderman
Diane M. Becker
Gerald Berenson
Eric Boerwinkle
Erwin Bottinger
Mary Cushman
Charles Eaton
Fredrik Nyberg
Gerardo Heiss
Joel N. Hirschhron
Virginia J. Howard
Konrad J. Karczewsk
Matthew B. Lanktree
Kiang Liu
Yongmei Liu
Ruth Loos
Karen Margolis
Michael Snyder
Bruce M. Psaty
Nicholas J. Schork
David R. Weir
Charles N. Rotimi
Michele M. Sale
Tamara Harris
Sharon L.R. Kardia
Steven C. Hunt
Donna Arnett
Susan Redline
Richard S. Cooper
Neil J. Risch
D.C. Rao
Jerome I. Rotter
Aravinda Chakravarti
Alex P. Reiner
Daniel Levy
Brendan J. Keating
Xiaofeng Zhu
Min Jin Go
Young Jin Kim
Jong-Young Lee
Jae-Pil Jeon
Sung Soo Kim
Bok-Ghee Han
Yoon Shin Cho
Xueling Sim
Wan Ting Tay
Rick Twee Hee Ong
Mark Seielstad
Jian Jun Liu
Tin Aung
Tien Yin Wong
Yik Ying Teo
E. Shyong Tai
Chien-Hsiun Chen
Li-ching Chang
Yuan-Tsong Chen
Jer-Yuarn Wu
Tanika N. Kelly
Dongfeng Gu
James E. Hixson
Jiang He
Yasuharu Tabara
Yoshihiro Kokubo
Tetsuro Miki
Naoharu Iwai
Norihiro Kato
Fumihiko Takeuchi
Tomohiro Katsuya
Toru Nabika
Takao Sugiyama
Yi Zhang
Wei Huang
Xuegong Zhang
Xueya Zhou
Li Jin
Dingliang Zhu
Bochud, Murielle
Ehret, Georg Benedikt
Source :
American Journal of Human Genetics, Vol. 93, No 3 (2013) pp. 545-554
Publication Year :
2013
Publisher :
Elsevier, 2013.

Abstract

High blood pressure (BP) is more prevalent and contributes to more severe manifestations of cardiovascular disease (CVD) in African Americans than in any other United States ethnic group. Several small African-ancestry (AA) BP genome-wide association studies (GWASs) have been published, but their findings have failed to replicate to date. We report on a large AA BP GWAS meta-analysis that includes 29,378 individuals from 19 discovery cohorts and subsequent replication in additional samples of AA (n = 10,386), European ancestry (EA) (n = 69,395), and East Asian ancestry (n = 19,601). Five loci (EVX1-HOXA, ULK4, RSPO3, PLEKHG1, and SOX6) reached genome-wide significance (p < 1.0 × 10(-8)) for either systolic or diastolic BP in a transethnic meta-analysis after correction for multiple testing. Three of these BP loci (EVX1-HOXA, RSPO3, and PLEKHG1) lack previous associations with BP. We also identified one independent signal in a known BP locus (SOX6) and provide evidence for fine mapping in four additional validated BP loci. We also demonstrate that validated EA BP GWAS loci, considered jointly, show significant effects in AA samples. Consequently, these findings suggest that BP loci might have universal effects across studied populations, demonstrating that multiethnic samples are an essential component in identifying, fine mapping, and understanding their trait variability.

Details

Language :
English
ISSN :
00029297
Database :
OpenAIRE
Journal :
American Journal of Human Genetics, Vol. 93, No 3 (2013) pp. 545-554
Accession number :
edsair.doi.dedup.....34089ffcdbcaac5db96f23875ffce8df