4.3 Review

Progress in Defining the Genetic Contribution to Type 2 Diabetes in Individuals of East Asian Ancestry

Journal

CURRENT DIABETES REPORTS
Volume 21, Issue 6, Pages -

Publisher

CURRENT MEDICINE GROUP
DOI: 10.1007/s11892-021-01388-2

Keywords

Type 2 diabetes (T2D); Genome-wide association study (GWAS); East Asian populations; Meta-analysis; Susceptibility loci

Funding

  1. American Heart Association [15POST24470131, 17POST33650016]

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The prevalence and progression of complications of type 2 diabetes (T2D) vary between different populations, with obesity being a major contributing risk factor. Recent genetic discoveries associated with T2D in East Asian ancestry populations have provided insights into shared genetic susceptibility between population groups. By increasing sample size and power, new genetic associations with T2D have been discovered in East Asian ancestry populations, indicating the need for expanding omics resources for clinical translation.
Purpose of Review Prevalence of type 2 diabetes (T2D) and progression of complications differ between worldwide populations. While obesity is a major contributing risk factor, variations in physiological manifestations, e.g., developing T2D at lower body mass index in some populations, suggest other contributing factors. Early T2D genetic associations were mostly discovered in European ancestry populations. This review describes the progression of genetic discoveries associated with T2D in individuals of East Asian ancestry in the last 10 years and highlights the shared genetic susceptibility between the population groups and additional insights into genetic contributions to T2D. Recent Findings Through increased sample size and power, new genetic associations with T2D were discovered in East Asian ancestry populations, often with higher allele frequencies than European ancestry populations. As we continue to generate maps of T2D-associated variants across diverse populations, there will be a critical need to expand and diversify other omics resources to enable integration for clinical translation.

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