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The distribution of common-variant effect sizes
The genetic effect-size distribution describes the number of variants that affect disease risk and the range of their effect sizes. Accurate estimates of this distribution would provide insights into genetic architecture and set sample-size targets for future genome-wide association studies. We developed Fourier Mixture Regression (FMR) to estimate common-variant effect-size distributions from GWAS summary statistics. We validated FMR in simulations and in analyses of UK Biobank data, usingdoi:10.1101/2020.09.19.304097 fatcat:57yk7y4pgzf5dnilqx7dm6a5ka