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Annual Review of Biomedical Data Science

Volume 6, 2023

Gene Interactions in Human Disease Studies—Evidence Is Mounting

Abstract

Despite monumental advances in molecular technology to generate genome sequence data at scale, there is still a considerable proportion of heritability in most complex diseases that remains unexplained. Because many of the discoveries have been single-nucleotide variants with small to moderate effects on disease, the functional implication of many of the variants is still unknown and, thus, we have limited new drug targets and therapeutics. We, and many others, posit that one primary factor that has limited our ability to identify novel drug targets from genome-wide association studies may be due to gene interactions (epistasis), gene–environment interactions, network/pathway effects, or multiomic relationships. We propose that many of these complex models explain much of the underlying genetic architecture of complex disease. In this review, we discuss the evidence from multiple research avenues, ranging from pairs of alleles to multiomic integration studies and pharmacogenomics, that supports the need for further investigation of gene interactions (or epistasis) in genetic and genomic studies of human disease. Our goal is to catalog the mounting evidence for epistasis in genetic studies and the connections between genetic interactions and human health and disease that could enable precision medicine of the future.

Keyword(s): epistasis, genetic architecture, human disease, multiomics, precision medicine
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2023-08-10
2024-04-29
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Gene Interactions in Human Disease Studies—Evidence Is Mounting
Annual Review of Biomedical Data Science 6, 377 (2023); https://doi.org/10.1146/annurev-biodatasci-102022-120818
/content/journals/10.1146/annurev-biodatasci-102022-120818
/content/journals/10.1146/annurev-biodatasci-102022-120818
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