Article

Sparse matrix factorization robust to sample sharing across GWAS reveals interpretable genetic components

2024-11-14

Abstract excerpt

Complex trait-associated genetic variation is highly pleiotropic. This extensive pleiotropy implies that multi-phenotype analyses are informative for characterizing genetic associations, as they facilitate the discovery of trait-shared and trait-specific variants and pathways (“genetic factors”). Previous efforts have estimated genetic factors using matrix factorization (MF) applied to numerous GWAS. However, exis...

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Literature Corpus work: b829c3ad-859f-5b2e-80d5-052ceb6ba14e
DOI: 10.1101/2024.11.12.623313

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