Authors

Maggie C.Y. Ng, Wake Forest University School of Medicine
Mariaelisa Graff, UNC Gillings School of Global Public Health
Yingchang Lu, Icahn School of Medicine at Mount Sinai
Anne E. Justice, UNC Gillings School of Global Public Health
Poorva Mudgal, Wake Forest University School of Medicine
Ching Ti Liu, School of Public Health
Kristin Young, UNC Gillings School of Global Public Health
Lisa R. Yanek, Johns Hopkins University School of Medicine
Mary F. Feitosa, Washington University School of Medicine in St. Louis
Mary K. Wojczynski, Washington University School of Medicine in St. Louis
Kristin Rand, Keck School of Medicine of USC
Jennifer A. Brody, University of Washington School of Medicine
Brian E. Cade, Brigham and Women's Hospital
Latchezar Dimitrov, Wake Forest University School of Medicine
Qing Duan, UNC School of Medicine
Xiuqing Guo, Harbor-UCLA Medical Center
Leslie A. Lange, UNC School of Medicine
Michael A. Nalls, National Institute on Aging (NIA)
Hayrettin Okut, Wake Forest University School of Medicine
Salman M. Tajuddin, National Institute on Aging (NIA)
Bamidele O. Tayo, Stritch School of Medicine
Sailaja Vedantam, Boston Children's Hospital
Jonathan P. Bradfield, The Children's Hospital of Philadelphia
Guanjie Chen, National Human Genome Research Institute (NHGRI)
Wei Min Chen, University of Virginia School of Medicine
Alessandra Chesi, The Children's Hospital of Philadelphia
Marguerite R. Irvin, The University of Alabama at Birmingham
Badri Padhukasahasram, Henry Ford Health System
Jennifer A. Smith, University of Michigan, Ann Arbor
Wei Zheng, Vanderbilt University Medical Center
Matthew A. Allison, University of California, San Diego
Christine B. Ambrosone, Roswell Park Cancer Institute
Elisa V. Bandera, Rutgers Cancer Institute of New Jersey

Document Type

Article

Publication Date

4-1-2017

Abstract

Genome-wide association studies (GWAS) have identified >300 loci associated with measures of adiposity including body mass index (BMI) and waist-to-hip ratio (adjusted for BMI, WHRadjBMI), but few have been identified through screening of the African ancestry genomes. We performed large scale meta-analyses and replications in up to 52,895 individuals for BMI and up to 23,095 individuals for WHRadjBMIfrom the African Ancestry Anthropometry Genetics Consortium (AAAGC) using 1000 Genomes phase 1 imputed GWAS to improve coverage of both common and low frequency variants in the low linkage disequilibrium African ancestry genomes. In the sex-combined analyses, we identified one novel locus (TCF7L2/HABP2) for WHRadjBMIand eight previously established loci at P < 5×10−8: seven for BMI, and one for WHRadjBMIin African ancestry individuals. An additional novel locus (SPRYD7/DLEU2) was identified for WHRadjBMIwhen combined with European GWAS. In the sex-stratified analyses, we identified three novel loci for BMI (INTS10/LPL and MLC1 in men, IRX4/IRX2 in women) and four for WHRadjBMI(SSX2IP, CASC8, PDE3B and ZDHHC1/HSD11B2 in women) in individuals of African ancestry or both African and European ancestry. For four of the novel variants, the minor allele frequency was low (<5%). In the trans-ethnic fine mapping of 47 BMI loci and 27 WHRadjBMIloci that were locus-wide significant (P < 0.05 adjusted for effective number of variants per locus) from the African ancestry sex-combined and sex-stratified analyses, 26 BMI loci and 17 WHRadjBMIloci contained ≤ 20 variants in the credible sets that jointly account for 99% posterior probability of driving the associations. The lead variants in 13 of these loci had a high probability of being causal. As compared to our previous HapMap imputed GWAS for BMI and WHRadjBMIincluding up to 71,412 and 27,350 African ancestry individuals, respectively, our results suggest that 1000 Genomes imputation showed modest improvement in identifying GWAS loci including low frequency variants. Trans-ethnic meta-analyses further improved fine mapping of putative causal variants in loci shared between the African and European ancestry populations.

Publication Source (Journal or Book title)

PLoS Genetics

Share

COinS