| Literature DB >> 30978304 |
Stephanie A Bien1, Genevieve L Wojcik2, Chani J Hodonsky3, Christopher R Gignoux4, Iona Cheng5, Tara C Matise6, Ulrike Peters1, Eimear E Kenny7, Kari E North3.
Abstract
The past decade has seen a technological revolution in human genetics that has empowered population-level investigations into genetic associations with phenotypes. Although these discoveries rely on genetic variation across individuals, association studies have overwhelmingly been performed in populations of European descent. In this review, we describe limitations faced by single-population studies and provide an overview of strategies to improve global representation in existing data sets and future human genomics research via diversity-focused, multiethnic studies. We highlight the successes of individual studies and meta-analysis consortia that have provided unique knowledge. Additionally, we outline the approach taken by the Population Architecture Using Genomics and Epidemiology (PAGE) study to develop best practices for performing genetic epidemiology in multiethnic contexts. Finally, we discuss how limiting investigations to single populations impairs findings in the clinical domain for both rare-variant identification and genetic risk prediction.Entities:
Keywords: PAGE; diversity; fine mapping; genomics; multiethnic; transethnic
Mesh:
Year: 2019 PMID: 30978304 PMCID: PMC7012212 DOI: 10.1146/annurev-genom-091416-035517
Source DB: PubMed Journal: Annu Rev Genomics Hum Genet ISSN: 1527-8204 Impact factor: 8.929