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- W2904707956 startingPage "503144" @default.
- W2904707956 abstract "All summary statistics-based methods to estimate the heritability of SNPs (h g 2 ) rely on accurate linkage disequilibrium (LD) calculations. In admixed populations, such as African Americans and Latinos, LD estimates are influenced by admixture and can result in biased h g 2 estimates. Here, we introduce covariate-adjusted LD score regression (cov-LDSC), a method to provide robust h g 2 estimates from GWAS summary statistics and in-sample LD estimates in admixed populations. In simulations, we observed that unadjusted LDSC underestimates h g 2 by 10%- 60%; in contrast, cov-LDSC is robust to all simulation parameters. We applied cov-LDSC to approximately 170,000 Latino, 47,000 African American 135,000 European individuals in three quantitative and five dichotomous phenotypes. Our results show that most traits have high concordance of h g 2 between ethnic groups; for example in the 23andMe cohort, estimates of h g 2 for BMI are 0.22 ± 0.01, 0.23 ± 0.03 and 0.22 ± 0.01 in Latino, African American and European populations respectively. However, for age at menarche, we observe population specific heritability differences with estimates of h g 2 of 0.10 ± 0.03, 0.33 ± 0.13 and 0.19 ± 0.01 in Latino, African American and European populations respectively." @default.
- W2904707956 created "2018-12-22" @default.
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- W2904707956 date "2018-12-20" @default.
- W2904707956 modified "2023-09-26" @default.
- W2904707956 title "Estimating heritability of complex traits in admixed populations with summary statistics" @default.
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