Evidence map›Paper›PMID 40533442›Full record

ArticleNature communications2025

Switch-like gene expression modulates disease risk.

Alber Aqil, Yanyan Li, Zhiliang Wang, Saiful Islam, Madison Russell, Theodora Kunovac Kallak, Marie Saitou, Omer Gokcumen, Naoki Masuda

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Genetic and functional evidence implicates amedRxiv : the preprint server for health sciences · 2025
    Article
  6. Review
  7. Article
  8. Read mismapping from segmental duplications drives spuriousbioRxiv : the preprint server for biology · 2025
    Article
  9. Article
  10. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Alber AqilDepartment of Biological Sciences, State University of New York at Buffalo, Buffalo, NY, USA.ORCID http://orcid.org/0000-0002-6784-6495
Yanyan LiDepartment of Mathematics, State University of New York at Buffalo, Buffalo, NY, USA.
Zhiliang WangDepartment of Mathematics, State University of New York at Buffalo, Buffalo, NY, USA.
Saiful IslamInstitute for Artificial Intelligence and Data Science, State University of New York at Buffalo, Buffalo, NY, USA.
Madison RussellDepartment of Mathematics, State University of New York at Buffalo, Buffalo, NY, USA.
Theodora Kunovac KallakDepartment of Women's and Children's Health, Uppsala University, Uppsala, Sweden.ORCID http://orcid.org/0000-0002-2112-8674
Marie SaitouFaculty of Biosciences, Norwegian University of Life Sciences, Aas, Norway.
Omer GokcumenDepartment of Biological Sciences, State University of New York at Buffalo, Buffalo, NY, USA. gokcumen@gmail.com.ORCID http://orcid.org/0000-0003-4371-679X
Naoki MasudaDepartment of Mathematics, State University of New York at Buffalo, Buffalo, NY, USA. naokimas@gmail.com.ORCID http://orcid.org/0000-0003-1567-801X

Funding

Evolutionary and functional impact of common genomic structural variationsR35GM156519 · NIGMS · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI Omer Gokcumen · 2025 to 2026
$887k
DMS/NIGMS 1: Multilayer network approach to tandem repeat variation in genomesR01GM148973 · NIGMS · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI MASUDA, NAOKI · 2022 to 2024
$444k
MEXT | Japan Science and Technology Agency (JST) JPMJMS2021MEXT | Japan Society for the Promotion of Science (JSPS) JP 24K14840National Science Foundation (NSF) 2049947National Science Foundation (NSF) 2052720National Science Foundation (NSF) 2123284NIGMS NIH HHS R01 GM148973NIGMS NIH HHS R35 GM156519U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) 1R01GM148973-01
6 · The paper itself

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.

Indexed as

Gene Expression RegulationGenetic Predisposition to DiseaseDNA MethylationEpigenesis, GeneticEstrogensFemaleGene Expression ProfilingHumansMaleOrgan SpecificityTranscriptomeVaginaEstrogens

Identifiers

PMID40533442
PMCPMC12177084

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.