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Current Diabetes Reports

, 18:145 | Cite as

Genetics of Obesity in Diverse Populations

  • Kristin L. Young
  • Mariaelisa Graff
  • Lindsay Fernandez-Rhodes
  • Kari E. North
Obesity (J McCaffery, Section Editor)
Part of the following topical collections:
  1. Topical Collection on Obesity

Abstract

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 < 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 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.

Summary

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.

Keywords

Obesity GWAS Health disparities Precision medicine 

Notes

Funding Information

Dr. Kari E. North was funded by N01HC65233 and 1R01DK101855.

Compliance with Ethical Standards

Conflict of Interest

Kristin L. Young, Mariaelisa Graff, Lindsay Fernandez-Rhodes, and Kari E. North declare that they have no conflict of interest.

Human and Animal Rights and Informed Consent

This article does not contain any studies with human or animal subjects performed by any of the authors.

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Papers of particular interest, published recently, have been highlighted as: • Of importance •• Of major importance

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  • Kristin L. Young
    • 1
  • Mariaelisa Graff
    • 1
  • Lindsay Fernandez-Rhodes
    • 2
  • Kari E. North
    • 1
    • 3
  1. 1.Department of EpidemiologyUniversity of North Carolina at Chapel HillChapel HillUSA
  2. 2.Carolina Population CenterUniversity of North Carolina at Chapel HillChapel HillUSA
  3. 3.Carolina Center for Genome SciencesUniversity of North Carolina at Chapel HillChapel HillUSA

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