J. Gong, Fred Hutchinson Cancer Center
K. K. Nishimura, Fred Hutchinson Cancer Center
L. Fernandez-Rhodes, UNC Gillings School of Global Public Health
J. Haessler, Fred Hutchinson Cancer Center
S. Bien, Fred Hutchinson Cancer Center
M. Graff, UNC Gillings School of Global Public Health
U. Lim, University of Hawaiʻi Cancer Center
Y. Lu, Icahn School of Medicine at Mount Sinai
M. Gross, Masonic Cancer Center
M. Fornage, The University of Texas at Austin
S. Yoneyama, UNC Gillings School of Global Public Health
C. R. Isasi, Albert Einstein College of Medicine
P. Buzkova, University of Washington
M. Daviglus, Northwestern University Feinberg School of Medicine
D. Y. Lin, UNC Gillings School of Global Public Health
R. Tao, UNC Gillings School of Global Public Health
R. Goodloe, Vanderbilt University School of Medicine
W. S. Bush, Case Western Reserve University
E. Farber-Eger, Vanderbilt University School of Medicine
J. Boston, Vanderbilt University School of Medicine
H. H. Dilks, Sarah Cannon Research Institute
G. Ehret, Johns Hopkins University School of Medicine
C. C. Gu, Washington University in St. Louis
C. E. Lewis, UAB Department of Medicine
K. D.H. Nguyen, Johns Hopkins University School of Medicine
R. Cooper, Loyola University Chicago
M. Leppert, University of Utah School of Medicine
M. R. Irvin, The University of Alabama at Birmingham
E. P. Bottinger, Icahn School of Medicine at Mount Sinai
L. R. Wilkens, University of Hawaiʻi Cancer Center
C. A. Haiman, Keck School of Medicine of USC
L. Park, University of Hawaiʻi Cancer Center
K. R. Monroe, Keck School of Medicine of USC

Document Type

Article

Publication Date

3-1-2018

Abstract

Objective:Body mass index (BMI) is commonly used to assess obesity, which is associated with numerous diseases and negative health outcomes. BMI has been shown to be a heritable, polygenic trait, with close to 100 loci previously identified and replicated in multiple populations. We aim to replicate known BMI loci and identify novel associations in a trans-ethnic study population.Subjects:Using eligible participants from the Population Architecture using Genomics and Epidemiology consortium, we conducted a trans-ethnic meta-analysis of 102 514 African Americans, Hispanics, Asian/Native Hawaiian, Native Americans and European Americans. Participants were genotyped on over 200 000 SNPs on the Illumina Metabochip custom array, or imputed into the 1000 Genomes Project (Phase I). Linear regression of the natural log of BMI, adjusting for age, sex, study site (if applicable), and ancestry principal components, was conducted for each race/ethnicity within each study cohort. Race/ethnicity-specific, and combined meta-analyses used fixed-effects models.Results:We replicated 15 of 21 BMI loci included on the Metabochip, and identified two novel BMI loci at 1q41 (rs2820436) and 2q31.1 (rs10930502) at the Metabochip-wide significance threshold (P<2.5 × 10 ' 7). Bioinformatic functional investigation of SNPs at these loci suggests a possible impact on pathways that regulate metabolism and adipose tissue.Conclusion:Conducting studies in genetically diverse populations continues to be a valuable strategy for replicating known loci and uncovering novel BMI associations.

Publication Source (Journal or Book title)

International Journal of Obesity

First Page

384

Last Page

390

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