Switch-like gene expression modulates disease risk

While switch-like gene expression ("on" in some individuals and "off" in others) has been linked to biological variation and disease susceptibility, a systematic analysis across tissues is lacking. Here, we analyze genomes, transcriptomes, and methylomes from 943 individuals across 27 tissues, identifying 473 switch-like genes. The identified genes are enriched for associations with cancers and immune, metabolic, and skin diseases. Only 40 (8.5%) switch-like genes show genetically controlled switch-like expression in all tissues, i.e., universally switch-like expression. The rest show switch-like expression in specific tissues. Methylation analysis suggests that genetically driven epigenetic silencing explains the universally switch-like pattern, whereas hormone-driven epigenetic modification likely underlies the tissue-specific pattern. Notably, tissue-specific switch-like genes tend to be switched on or off in unison within individuals, driven by tissue-specific master regulators. In the vagina, we identified seven concordantly switched-off genes linked to vaginal atrophy in females. Experimental analysis of vaginal tissues shows that low estrogen levels lead to decreased epithelial thickness and ALOX12 expression. We propose that switched-off driver genes in basal and parabasal epithelia suppress cell proliferation, leading to epithelial thinning and vaginal atrophy. Our findings underscore the implications of switch-like genes for diagnostic and personalized therapeutic applications.

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Publication Details

Journal
Nature Communications
Published
2025-06-18
DOI
https://doi.org/10.1038/s41467-025-60513-x
Citations
5
Primary Topic
Epigenetics and DNA Methylation
Type
article
Field-Weighted Citation Impact
4.03

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article

Switch-like gene expression modulates disease risk

Marie Saitou, Theodora Kunovac Kallak, Naoki Masuda, Ömer Gökçümen et al.
5 citations
Nature Communications
Epigenetics and DNA Methylation
4.03
article

Switch-like gene expression modulates disease risk

Marie Saitou, Theodora Kunovac Kallak, Naoki Masuda, Ömer Gökçümen, Alber Aqil, Yanyan Li, Zhiliang Wang, M. A. H. Russell, Safiqul Islam
article en
5 citations

Abstract

While switch-like gene expression ("on" in some individuals and "off" in others) has been linked to biological variation and disease susceptibility, a systematic analysis across tissues is lacking. Here, we analyze genomes, transcriptomes, and methylomes from 943 individuals across 27 tissues, identifying 473 switch-like genes. The identified genes are enriched for associations with cancers and immune, metabolic, and skin diseases. Only 40 (8.5%) switch-like genes show genetically controlled switch-like expression in all tissues, i.e., universally switch-like expression. The rest show switch-like expression in specific tissues. Methylation analysis suggests that genetically driven epigenetic silencing explains the universally switch-like pattern, whereas hormone-driven epigenetic modification likely underlies the tissue-specific pattern. Notably, tissue-specific switch-like genes tend to be switched on or off in unison within individuals, driven by tissue-specific master regulators. In the vagina, we identified seven concordantly switched-off genes linked to vaginal atrophy in females. Experimental analysis of vaginal tissues shows that low estrogen levels lead to decreased epithelial thickness and ALOX12 expression. We propose that switched-off driver genes in basal and parabasal epithelia suppress cell proliferation, leading to epithelial thinning and vaginal atrophy. Our findings underscore the implications of switch-like genes for diagnostic and personalized therapeutic applications.

Nature CommunicationsVol. 16(1)
Buffalo State University (US), Uppsala University (SE), Norwegian University of Life Sciences (NO), University at Buffalo, State University of New York (US)
National Science Foundation, Japan Society for the Promotion of Science, Japan Science and Technology Agency, National Institute of General Medical Sciences, Moonshot Research and Development Program
Openalex Percentile: Top 6%
Epigenetics and DNA Methylation
4.03
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