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Power/sample size calculation software tools | Genome-wide association study data analysis

Statistical power calculations are crucial in designing genetic association studies. They help guide tradeoffs between large sample sizes and detailed assessments of genotype and phenotype, help determine which studies are viable, and help interpret research findings. To facilitate widespread use of power analysis in the design and interpretation of genetic studies, it is important to enable users to calculate power and visualize the effect of different models and design choices in convenient, interactive tools that are easily accessible.

Source text:
(Johnson and Abecasis, 2017) GAS Power Calculator: web-based power calculator for genetic association studies. bioRxiv.

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GWAPower
Permits calculation of genome wide association studies (GWAS) with quantitative traits. GWAPower allows genetic researchers to use the genetic term, heritability, instead of the general statistical term, ‘phenotype means of each genotype’, in power calculations. It can be used for general genetic studies if researchers wish to use heritability as the parameter for genetic effect size. The tool ignores some complicating factors such as population stratification, various interactions among genetic variants, and environmental factors.
FINDOR / Functionally Informed Novel Discovery Of Risk loci
Leverages polygenic functional enrichment to improve association power. FINDOR is an integrative Genome-Wide Association Studies (GWAS) framework for functionally-informed novel discovery of risk loci. It can provide a substantial increase in power – particularly for studies with smaller effective sample sizes, such as studies of disease traits. The aim of this method is to re-weight Single-Nucleotide Polymorphism (SNPs) according to how well they tag heritability enriched categories.
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