Evidence map›Paper›PMID 41398300›Full record

ArticleHuman genomics2025

Sleep patterns, genetic factors and the risk of cirrhosis: a prospective cohort study.

Fei Lin, Haoyu Zhang, Hongwei Xu, Luying Cheng, Wen Guo, Mengying Wang, Chengxiao Yu

Abstract read
In one paragraph

Article in Human genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Fei Lin *Health Management Center, The First Affiliated Hospital with Nanjing Medical University, Nanjing, Jiangsu, China.
Haoyu Zhang *Health Management Center, The First Affiliated Hospital with Nanjing Medical University, Nanjing, Jiangsu, China.
Hongwei XuHealth Management Center, The First Affiliated Hospital with Nanjing Medical University, Nanjing, Jiangsu, China.
Luying ChengHealth Management Center, The First Affiliated Hospital with Nanjing Medical University, Nanjing, Jiangsu, China.
Wen GuoHealth Management Center, The First Affiliated Hospital with Nanjing Medical University, Nanjing, Jiangsu, China.
Mengying WangDepartment of Nutrition and Food Hygiene, School of Public Health, Peking University, Beijing, China. mywang@bjmu.edu.cn.
Chengxiao YuHealth Management Center, The First Affiliated Hospital with Nanjing Medical University, Nanjing, Jiangsu, China. yuchengxiao@njmu.edu.cn.

Funding

China Postdoctoral Science Foundation 2021M701757Jiangsu Funding Program for Excellent Postdoctoral Talent 2022ZB416Jiangsu Province Capability Improvement Project through Science, Technology and Education ZDXK202248National Natural Science Foundation of China 82204122Natural Science Foundation of Jiangsu Higher Education Institutions 22KJB330002Natural Science Foundation of Jiangsu Province BK20220320
6 · The paper itself

Abstract

backgroundRecent studies have shown that unhealthy sleep behaviors are associated with chronic liver disease. However, the association of sleep patterns and genetic susceptibility with the incidence of cirrhosis remains inadequately elucidated.

methodsThis study included 364,308 participants initially free of liver cirrhosis from the UK Biobank. Sleep patterns were derived based on five self-reported sleep behaviors, including sleep duration, chronotypes, insomnia, snoring, and daytime sleepiness. Additionally, a polygenic risk score for cirrhosis was constructed for each participant. Cox regression models were utilized to estimate the hazard ratio (HR) and 95% confidence interval (CI) of cirrhosis associated with sleep patterns and polygenic risk score.

resultsDuring a median follow-up of 12.6 years, we recorded 1,814 cirrhosis events. Compared with healthy sleep patterns, the HRs (95% CI) for moderate and poor sleep patterns were 1.27 (95% CI: 1.14-1.42) and 1.73 (95% CI: 1.45-2.08), respectively. A joint effect of sleep and genetic factors on cirrhosis risk was observed, with HR reaching 3.50 (95% CI: 2.42-5.06) with poor sleep patterns and high genetic risk compared with those with healthy sleep patterns and low genetic risk. In addition, the high genetic risk for participants, poor sleep patterns of standardized decade liver cirrhosis were 0.49%, as opposed to 0.30% for those with healthy sleep patterns. The same trend was witnessed in individuals at low genetic risk.

conclusionsOur results show that the healthy sleep patterns are associated with a lower risk of incident liver cirrhosis, especially in individuals with high genetic susceptibility.

Indexed as

Genetic Predisposition to DiseaseLiver CirrhosisSleepSleep Wake DisordersAdultAgedFemaleHumansMaleMiddle AgedProspective StudiesRisk FactorsUnited KingdomCohortGenetic susceptibilityLiver cirrhosisSleep behaviorsSleep patterns

Identifiers

PMID41398300
PMCPMC12821875

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

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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 Socratic graph.