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isGWAS: ultra-high-throughput, scalable and equitable inference of genetic associations with disease

2023-07-25

Abstract excerpt

Genome-wide association studies (GWAS) have proven a powerful tool for human geneticists to generate biological insights or hypotheses for drug discovery. Nevertheless, a dependency on sensitive individual-level data together with ever-increasing cohort sample sizes, numbers of variants and phenotypes studied put a strain on existing algorithms, limiting the GWAS approach from maximising potential. Here we present...

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Literature Corpus work
bb3033d2-a6c1-58b6-860f-a6cf9b06b677
DOI
10.1101/2023.07.21.550074
Open publication

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isGWAS: ultra-high-throughput, scalable and equitable inference of genetic associations with diseaseDOI 10.1101/2023.07.21.550074
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