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Scott and Marrache, Ronnie and Mastorides, Stephen and Mattocks, Kristin and Meyer, Paul and Moorman, Jonathan and Morales, Providencia and Morgan, Timothy and Murdoch, Maureen and Naik, Eknath and Norton, James and Okusaga, Olaoluwa and Ong, Michael K. and Oursler, Kris Ann and Petrakis, Ismene and Poon, Samuel and Potter, Emily and Rauchman, Michael and Rai, Amneet S. and Servatius, Richard and Sharma, Satish and Smith, River and Sriram, Peruvemba and Strollo, Jr Patrick and Tandon, Neeraj and Villareal, Gerardo and Walsh, Jessica and Wells, John and Whittle, Jeffrey and Whooley, Mary and Wilson, Peter and Xu, Junzhe and Yeh, Shing Shing and Yen, Andrew W. (2025) A large-scale genome-wide study of gene-sleep duration interactions for blood pressure in 811,405 individuals from diverse populations. MOLECULAR PSYCHIATRY, 30 (8). pp. 3660-3672. ISSN 1359-4184, 1476-5578
Full text not available from this repository. (Request a copy)Abstract
Although both short and long sleep duration are associated with elevated hypertension risk, our understanding of their interplay with biological pathways governing blood pressure remains limited. To address this, we carried out genome-wide cross-population gene-by-short-sleep and long-sleep duration interaction analyses for three blood pressure traits (systolic, diastolic, and pulse pressure) in 811,405 individuals from diverse population groups. We discovered 22 novel gene-sleep duration interaction loci for blood pressure, mapped to 23 genes. Investigating these genes' functional implications shed light on neurological, thyroidal, bone metabolism, and hematopoietic pathways that necessitate future investigation for blood pressure management that caters to sleep health lifestyle. Non-overlap between short sleep (12) and long sleep (10) interactions underscores the plausible nature of distinct influences of both sleep duration extremes in cardiovascular health. Several of our loci are specific towards a particular population background or sex, emphasizing the importance of addressing heterogeneity entangled in gene-environment interactions, when considering precision medicine design approaches for blood pressure management.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | ENVIRONMENT INTERACTION; ASSOCIATION; METAANALYSIS; SEROTONIN; HEALTH; |
| Subjects: | 600 Technology > 610 Medical sciences Medicine |
| Divisions: | Medicine > Lehrstuhl für Innere Medizin II Medicine > Abteilung für Nephrologie Medicine > Institut für Epidemiologie und Präventivmedizin > Lehrstuhl für Genetische Epidemiologie |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 23 Mar 2026 13:14 |
| Last Modified: | 23 Mar 2026 13:14 |
| URI: | https://pred.uni-regensburg.de/id/eprint/68102 |
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