Abstract

One mechanism by which genetic factors influence complex traits and diseases is altering gene expression. Direct measurement of gene expression in relevant tissues is rarely tenable; however, genetically regulated gene expression (GReX) can be estimated using prediction models derived from large multi-omic datasets. These approaches have led to the discovery of many gene-trait associations, but whether models derived from predominantly European ancestry (EA) reference panels can map novel associations in ancestrally diverse populations remains unclear. We applied PrediXcan to impute GReX in 51,520 ancestrally diverse Population Architecture using Genomics and Epidemiology (PAGE) participants (35% African American, 45% Hispanic/Latino, 10% Asian, and 7% Hawaiian) across 25 key cardiometabolic traits and relevant tissues to identify 102 novel associations. We then compared associations …

Date

April 7, 2022

Authors

Heather M Highland, Genevieve L Wojcik, Mariaelisa Graff, Katherine K Nishimura, Chani J Hodonsky, Antoine R Baldassari, Alanna C Cote, Iona Cheng, Christopher R Gignoux, Ran Tao, Yuqing Li, Eric Boerwinkle, Myriam Fornage, Jeffrey Haessler, Lucia A Hindorff, Yao Hu, Anne E Justice, Bridget M Lin, Danyu Lin, Daniel O Stram, Christopher A Haiman, Charles Kooperberg, Loic Le Marchand, Tara C Matise, Eimear E Kenny, Christopher S Carlson, Eli A Stahl, Christy L Avery, Kari E North, Jose Luis Ambite, Steven Buyske, Ruth J Loos, Ulrike Peters, Kristin L Young, Stephanie A Bien, Laura M Huckins

Journal

The American Journal of Human Genetics

Volume

109

Issue

4

Pages

669-679

Publisher

Elsevier