Genomic Landscape of Phenotypes Causally Associated with Night Shift Work

other public-domain-us
Full text JSON View on PubMed View at publisher

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.
Full text 1,186 characters · extracted from oa-doi-fallback · 4 sections · click to expand

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.

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

Ask this paper AI returns verbatim quotes from the full text · source: oa-doi-fallback

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2026) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-08-06T06:07:45.168820+00:00
pubmed
last seen: 2026-08-06T06:02:50.593290+00:00
License: public-domain-us · commercial use OK · attribution required
Courtesy of the U.S. National Library of Medicine