Polygenic power calculator: Statistical power and polygenic prediction accuracy of genome-wide association studies of complex traits.

ABSTRACT: Power calculation is a necessary step when planning genome-wide association studies (GWAS) to ensure meaningful findings. Statistical power of GWAS depends on the genetic architecture of phenotype, sample size, and study design. While several computer programs have been developed to perform power calculation for single SNP association testing, it might be more appropriate for GWAS power calculation to address the probability of detecting any number of associated SNPs. In this paper, we derive the statistical power distribution across causal SNPs under the assumption of a point-normal effect size distribution. We demonstrate how key outcome indices of GWAS are related to the genetic architecture (heritability and polygenicity) of the phenotype through the power distribution. We also provide

SUBMITTER: Wu T 

PROVIDER: S-EPMC9589038 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature