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. 2023 Jun;13(6):e1291.
doi: 10.1002/ctm2.1291.

Trans-ethnic polygenic risk scores for body mass index: An international hundred K+ cohorts consortium study

Affiliations

Trans-ethnic polygenic risk scores for body mass index: An international hundred K+ cohorts consortium study

Hui-Qi Qu et al. Clin Transl Med. 2023 Jun.

Abstract

Background: While polygenic risk scores hold significant promise in estimating an individual's risk of developing a complex trait such as obesity, their application in the clinic has, to date, been limited by a lack of data from non-European populations. As a collaboration model of the International Hundred K+ Cohorts Consortium (IHCC), we endeavored to develop a globally applicable trans-ethnic PRS for body mass index (BMI) through this relatively new international effort.

Methods: The polygenic risk score (PRS) model was developed, trained and tested at the Center for Applied Genomics (CAG) of The Children's Hospital of Philadelphia (CHOP) based on a BMI meta-analysis from the GIANT consortium. The validated PRS models were subsequently disseminated to the participating sites. Scores were generated by each site locally on their cohorts and summary statistics returned to CAG for final analysis.

Results: We show that in the absence of a well powered trans-ethnic GWAS from which to derive marker SNPs and effect estimates for PRS, trans-ethnic scores can be generated from European ancestry GWAS using Bayesian approaches such as LDpred, by adjusting the summary statistics using trans-ethnic linkage disequilibrium reference panels. The ported trans-ethnic scores outperform population specific-PRS across all non-European ancestry populations investigated including East Asians and three-way admixed Brazilian cohort.

Conclusions: Here we show that for a truly polygenic trait such as BMI adjusting the summary statistics of a well powered European ancestry study using trans-ethnic LD reference results in a score that is predictive across a range of ancestries including East Asians and three-way admixed Brazilians.

Keywords: body mass index; obesity; polygenic risk score; population admixture; trans-ethnic.

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Conflict of interest statement

A.S.B declares grants outside of this work from AstraZeneca, Bayer, Biogen, BioMarin, Merck and Sanofi. All other authors declare no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Figures

FIGURE 1
FIGURE 1
Development of a trans‐ethnic polygenic risk score for body mass index.
FIGURE 2
FIGURE 2
AUC values following the initial validation of PRS models in‐house. 57 613 randomly selected individuals with genotypes and BMI data from the the Center for Applied Genomics biobank at the Children's Hospital of Philadelphia were used for the validation.

Update of

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