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e-Article

sn-spMF: matrix factorization informs tissue-specific genetic regulation of gene expression
Document Type
article
Source
Genome Biology, Vol 21, Iss 1, Pp 1-25 (2020)
Subject
Matrix factorization
Ubiquitous eQTLs
Tissue-specific eQTLs
Transcription factors
Biology (General)
QH301-705.5
Genetics
QH426-470
Language
English
ISSN
1474-760X
Abstract
Abstract Genetic regulation of gene expression, revealed by expression quantitative trait loci (eQTLs), exhibits complex patterns of tissue-specific effects. Characterization of these patterns may allow us to better understand mechanisms of gene regulation and disease etiology. We develop a constrained matrix factorization model, sn-spMF, to learn patterns of tissue-sharing and apply it to 49 human tissues from the Genotype-Tissue Expression (GTEx) project. The learned factors reflect tissues with known biological similarity and identify transcription factors that may mediate tissue-specific effects. sn-spMF, available at https://github.com/heyuan7676/ts_eQTLs , can be applied to learn biologically interpretable patterns of eQTL tissue-specificity and generate testable mechanistic hypotheses.