Genomic Landscape of Phenotypes Causally Associated with Night Shift Work

Jin X, Xing Jin, Yang Yang, Yang Y, Jie Xu, Xu J, Hui Liu, Liu H
Journal of occupational and environmental medicine · 2026 · doi:10.1097/JOM.0000000000003844 · PMID:42551019
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⚙ AI-generated summary by qwen3.7-flash, 2026-08-13 ⓘ

Using MR-PheWAS, researchers found that night shift work is causally associated with lower endometriosis risk alongside numerous other health outcomes, including increased risks of gestational hypertension and primary ovarian failure.

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⚙ AI-generated deep summary by gpt-5.6-luna, 2026-08-12 · read from full text ⓘ

This study used Mendelian randomization phenome-wide association analyses to evaluate potential causal effects of night shift work frequency, intensity, and history across 18,115 health traits, applying inverse-variance weighting, MR-Egger, Wald ratios, and sensitivity analyses. It identified 1,278 phenotypes associated with night-shift frequency, 918 with intensity, and 199 with history, including lower inferred risks of endometriosis and certain cardiomyopathies alongside higher risks of gestational hypertension, primary ovarian failure, stroke, diabetes, hypertension, and neuroimaging changes. The authors noted that further research is needed to clarify mechanisms and develop targeted interventions. Relevance to endometriosis: it was among phenotypes showing a lower inferred risk associated with night shift work, though the paper's main focus is the broader genomic landscape of health outcomes causally associated with night shift work.

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Abstract

OBJECTIVE: To apply an MR-PheWAS to infer causality between NSW and multiple health outcomes. METHODS: This study used MR-PheWAS to assess the causal effects of NSW on 18,115 health traits, applying IVW, MR-Egger, Wald ratio, and sensitivity analyses to classify associations by evidence strength. RESULTS: MR-PheWAS identified 1,278 phenotypes associated with NSW frequency, 918 with intensity, and 199 with history, including lower risks of hypertrophic skin disorders, endometriosis, and cardiomyopathies, but higher risks of gestational hypertension, androgenic alopecia, pulmonary eosinophilia, multiple sclerosis, primary ovarian failure, structural brain changes, stroke, diabetes, neuroticism, chronic renal failure, chronic hepatitis B, and hypertension. CONCLUSION: This study demonstrates that NSW broadly affects multiple health outcomes, including neuroimaging phenotypes reflecting functional and structural alterations, highlighting the need for public health strategies and further research to clarify mechanisms and develop targeted interventions.
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Objective

To apply an MR-PheWAS to infer causality between NSW and multiple health outcomes.

Methods

This study used MR-PheWAS to assess the causal effects of NSW on 18,115 health traits, applying IVW, MR-Egger, Wald ratio, and sensitivity analyses to classify associations by evidence strength.

Results

MR-PheWAS identified 1,278 phenotypes associated with NSW frequency, 918 with intensity, and 199 with history, including lower risks of hypertrophic skin disorders, endometriosis, and cardiomyopathies, but higher risks of gestational hypertension, androgenic alopecia, pulmonary eosinophilia, multiple sclerosis, primary ovarian failure, structural brain changes, stroke, diabetes, neuroticism, chronic renal failure, chronic hepatitis B, and hypertension.

Conclusion

This study demonstrates that NSW broadly affects multiple health outcomes, including neuroimaging phenotypes reflecting functional and structural alterations, highlighting the need for public health strategies and further research to clarify mechanisms and develop targeted interventions.

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europepmc
last seen: 2026-09-20T09:27:46.357103+00:00
pubmed
last seen: 2026-09-20T06:08:17.325521+00:00
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