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Genetics of Obesity in Diverse Populations.

TitleGenetics of Obesity in Diverse Populations.
Publication TypeJournal Article
Year of Publication2018
AuthorsYoung KL, Graff M, Fernández-Rhodes L
Secondary AuthorsNorth KE
JournalCurr Diab Rep
Date Published2018 11 19
KeywordsGenetic Predisposition to Disease, Genetics, Population, Humans, Obesity, Phenotype, Population Groups

PURPOSE OF REVIEW: The prevalence of obesity continues to rise, fueling a global public health crisis characterized by dramatic increases in type 2 diabetes, cardiovascular disease, and many cancers. In the USA, several minority populations, who bear much of the obesity burden (47% in African Americans and Hispanic/Latinos, compared to 38% in European descent groups), are particularly at risk of downstream chronic disease. Compounding these disparities, most genome-wide association studies (GWAS)-including those of obesity-have largely been conducted in populations of European or East Asian ancestry. In fact, analysis of the GWAS Catalog found that while the proportion of participants of non-European or non-Asian descent had risen from 4% in 2009 to 19% in 2016, African-ancestry participants are still just 3% of GWAS, Hispanic/Latinos are

RECENT FINDINGS: GWAS of populations with the highest burden of obesity are essential to narrow candidate variants for functional follow-up, to identify additional ancestry-specific variants that contribute to individual genetic susceptibility, and to advance both public health and precision medicine approaches to obesity. Given the global public health burden posed by obesity and downstream chronic conditions which disproportionately affect non-European populations, GWAS of obesity-related traits in diverse populations is essential to (1) locate causal variants in GWAS-identified regions through fine mapping, (2) identify variants which influence obesity across ancestries through generalization, and (3) discover novel ancestry-specific variants which may be low frequency in European populations but common in other groups. Recent efforts to expand obesity genomic studies to understudied and underserved populations, including AAAGC, PAGE, and HISLA, are working to reduce obesity health disparities, improve public health, and bring the promise of precision medicine to all.

Alternate JournalCurr Diab Rep
PubMed ID30456705
PubMed Central IDPMC6380516
Grant ListP2C HD050924 / HD / NICHD NIH HHS / United States
R01 DK101855 / DK / NIDDK NIH HHS / United States
T32 HL007055 / HL / NHLBI NIH HHS / United States
N01HC65233 / HL / NHLBI NIH HHS / United States