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HiGwas: how to compute longitudinal GWAS data in population designs.

Bioinformatics (Oxford, England) - 15 Aug 2020

Wang Zhong, Wang Nating, Wang Zilu, Jiang Libo, Wang Yaqun, Li Jiahan, Wu Rongling

Abstract excerpt

SUMMARY: Genome-wide association studies (GWAS), particularly designed with thousands and thousands of single-nucleotide polymorphisms (SNPs) (big p) genotyped on tens of thousands of subjects (small n), are encountered by a major challenge of p ≪ n. Although the integration of longitudinal information can significantly enhance a GWAS's power to comprehend the genetic architecture of complex traits and diseases,...

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PMID: 32502244
DOI: 10.1093/bioinformatics/btaa294

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