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. Author manuscript; available in PMC: 2021 Feb 8.
Published in final edited form as: HGG Adv. 2020 Dec 2;2(1):100017. doi: 10.1016/j.xhgg.2020.100017

Figure 4. Allele frequency distribution of GWAS selected variants and LD tagging of causal variants.

Figure 4.

GWAS significant variants are more common in the study population from which they were discovered; however, African Ancestry GWAS variants may result in better LD tagging across populations. Variants were selected from a European or African ancestry GWAS or a fixed-effects meta-analysis of both populations.

(A) GWAS variants were binned by their MAF estimated from the European, African, and admixed populations. The error bar represents the 95% CI across simulations.

(B) LD scores were calculated for every causal variant by adding up the LD r2 for each GWAS tag variant within ±1,000 kb of the causal variant. LD scores calculated in a Europeans and Africans were compared by Pearson’s correlation. The results were summarized across simulations as the average and 95% CI.

(C) Raw LD scores for each causal variant (m 1,000) calculated in a European or African population for one simulation. Each panel shows the approach used for variant selection. Causal variants directly discovered through the GWAS are colored in gray.