Genetics of Obesity in Diverse Populations

被引:23
作者
Young, Kristin L. [1 ]
Graff, Mariaelisa [1 ]
Fernandez-Rhodes, Lindsay [2 ]
North, Kari E. [1 ,3 ]
机构
[1] Univ North Carolina Chapel Hill, Dept Epidemiol, 123 West Franklin St,Suite 410,CB 8050, Chapel Hill, NC 27516 USA
[2] Univ North Carolina Chapel Hill, Carolina Populat Ctr, Chapel Hill, NC USA
[3] Univ North Carolina Chapel Hill, Carolina Ctr Genome Sci, Chapel Hill, NC USA
关键词
Obesity; GWAS; Health disparities; Precision medicine; BODY-MASS INDEX; LOCI; METAANALYSIS; HEALTH; ARCHITECTURE; ASSOCIATION; DISPARITIES; VARIANTS; IDENTIFICATION; EPIDEMIOLOGY;
D O I
10.1007/s11892-018-1107-0
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Purpose of ReviewThe 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 obesityhave 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 <0.5%, and other ancestries are <0.3% or not represented at all. This review summarizes recent developments in obesity genomics in US minority populations, with the goal of reducing obesity health disparities and improving public health programs and access to precision medicine.Recent FindingsGWAS 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.SummaryGiven 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.
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