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Multi-ancestry genome-wide gene-sleep interactions identify novel loci for blood pressure
Heming Wang1,2, Raymond Noordam3, Brian E Cade4,5
1Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. hwang@bwh.harvard.edu.
This study reveals gene interactions influencing blood pressure (BP) based on sleep duration. It identified novel genetic links between sleep patterns and BP regulation, offering new insights into cardiovascular health.
Area of Science:
- Genetics
- Cardiovascular Science
- Sleep Medicine
Background:
- Sleep duration is linked to elevated blood pressure (BP), potentially via neuroendocrine and vascular pathways.
- Understanding the genetic basis of sleep-related BP variation is crucial for identifying novel regulatory mechanisms.
Purpose of the Study:
- To identify novel genes interacting with short or long sleep duration to influence blood pressure traits.
- To explore the genetic architecture of sleep-related BP variation across diverse ancestry groups.
Main Methods:
- Genome-wide gene-by-sleep duration interaction analyses were conducted on four BP traits.
- Two-stage design involving a 2 degrees of freedom (df) joint test followed by a 1df test of interaction effects.
- Analyses were performed across five ancestry groups, totaling 122,265 individuals.
Main Results:
- Three novel gene-sleep interactions were identified and replicated, including associations with FIGNL2/ANKRD33, SNORA26/C9orf170, and KCTD15/LSM14A.
- An additional novel gene-sleep interaction (TRPC3/KIAA1109) was found in individuals of African ancestry.
- Multiple loci previously associated with BP showed significant gene-sleep interactions, highlighting shared genetic pathways.
Conclusions:
- Sleep duration and genetic factors interact to regulate blood pressure, influencing cardiovascular health.
- This research provides novel insights into the molecular mechanisms underlying sleep-related BP regulation.
- Findings suggest potential therapeutic targets for managing hypertension by considering sleep patterns.
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