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Using prior information from humans to prioritize genes and gene-associated variants for complex traits in livestock

2020-04-16

Abstract excerpt

Genome-Wide Association Studies (GWAS) in large human cohorts have identified thousands of loci associated with complex traits and diseases. For identifying the genes and gene-associated variants that underlie complex traits in livestock, especially where sample sizes are limiting, it may help to integrate the results of GWAS for equivalent traits in humans as prior information. In this study, we sought to investi...

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Literature Corpus work
5529deeb-ac2c-5de1-9ca8-71323760e8a4
DOI
10.1101/2020.04.16.044685
Open publication

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Using prior information from humans to prioritize genes and gene-associated variants for complex traits in livestockDOI 10.1101/2020.04.16.044685
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