3.9 Article

Ancestral diversity improves discovery and fine-mapping of genetic loci for anthropometric traits-The Hispanic/Latino Anthropometry Consortium

Journal

HUMAN GENETICS AND GENOMICS ADVANCES
Volume 3, Issue 2, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.xhgg.2022.100099

Keywords

-

Funding

  1. NIH [R01 CA063446, R01 CA077305]
  2. Leverhulme Trust [F/07 134/DF]
  3. Excellence Initiative of Aix-Marseille University -A*MIDEX
  4. (French Investissements d'Avenir'' programme)
  5. National Natural Science Foundation of China [31771393]
  6. Scientific and Technology Committee of Shanghai Municipality [18490750300]
  7. Ministry of Science and Technology of China [2020YFE0201600]
  8. Shanghai Municipal Science and Technology Major Project [2017SHZDZX01]
  9. 111 Project [B13016]
  10. BBSRC [BB/I021213/1]
  11. American Heart Association [13PRE16100015]
  12. AHA [13GRNT16490017, 15GRNT25880008, R01DK089256, R01DK101855]
  13. Daniel B. Burke Endowed Chair for Diabetes Research
  14. NEI [EY11753, UL1-TR-001881]
  15. HTN-IR funding [HL-0697974]
  16. DOD [RP9590546]
  17. CBCRP [7PB-0068]
  18. American Diabetes Association [1-19-ICTS-068, U01HG011723, R35GM142783]

Ask authors/readers for more resources

Despite the notable anthropometric variability, ancestry proportions, and high burden of growth stunting and overweight/obesity in Hispanic/Latinos, they have been underrepresented in genome-wide association studies (GWAS) for anthropometric traits. This study analyzed genetic data in a sample of Hispanic/Latino adults and identified genetic variants associated with body mass index (BMI), height, and BMI-adjusted waist-to-hip ratio (WHRadjBMI). The findings suggest that future studies can benefit from leveraging diverse ancestries and differences in linkage disequilibrium patterns to discover novel loci and additional signals, while also reducing residual population stratification.
Hispanic/Latinos have been underrepresented in genome-wide association studies (GWAS) for anthropometric traits despite their notable anthropometric variability, ancestry proportions, and high burden of growth stunting and overweight/obesity. To address this knowledge gap, we analyzed densely imputed genetic data in a sample of Hispanic/Latino adults to identify and fine-map genetic variants associated with body mass index (BMI), height, and BMI-adjusted waist-to-hip ratio (WHRadjBMI). We conducted a GWAS of 18 studies/consortia as part of the Hispanic/Latino Anthropometry (HISLA) Consortium (stage 1, n = 59,771) and generalized our findings in 9 additional studies (stage 2, n = 10,538). We conducted a trans-ancestral GWAS with summary statistics from HISLA stage 1 and existing consortia of European and African ancestries. In our HISLA stage 1 + 2 analyses, we discovered one BMI locus, as well as two BMI signals and another height signal each within established anthropometric loci. In our trans-ancestral meta-analysis, we discovered three BMI loci, one height locus, and one WHRadjBMI locus. We also identified 3 secondary signals for BMI, 28 for height, and 2 for WHRadjBMI in established loci. We show that 336 known BMI, 1,177 known height, and 143 known WHRadjBMI (combined) SNPs demonstrated suggestive transferability (nominal significance and effect estimate directional consistency) in Hispanic/Latino adults. Of these, 36 BMI, 124 height, and 11 WHRadjBMI SNPs were significant after trait-specific Bonferroni correction. Trans-ancestral meta-analysis of the three ancestries showed a small-to-moderate impact of uncorrected population stratification on the resulting effect size estimates. Our findings demonstrate that future studies may also benefit from leveraging diverse ancestries and differences in linkage disequilibrium patterns to discover novel loci and additional signals with less residual population stratification.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

3.9
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available