PLoS GeneticsGenetic & Genomic MedicinePeer-reviewed journal article
The impact of Mendelian sleep and circadian genetic variants in a population setting
Michael N. WeedoniD, Samuel E. JonesiD, Jacqueline M. LaneiD, Jiwon LeeiD, Hanna Maria OllilaiD, Amy DawesiD, Jessica TyrrelliD, Robin N. BeaumontiD, Timo PartoneniD, Ilona MerikantoiD, Stephen S. RichiD, Jerome I. RotteriD, Timothy M. FraylingiD, Martin K. RutteriD, Susan S RedlineiD, Tamar SoferiD, Richa SaxenaiD, Andrew R. WoodiD
Abstract
Rare variants in ten genes have been reported to cause Mendelian sleep conditions characterised by extreme sleep duration or timing. These include familial natural short sleep (ADRB1, DEC2/BHLHE41, GRM1 and NPSR1), advanced sleep phase (PER2, PER3, CRY2, CSNK1D and TIMELESS) and delayed sleep phase (CRY1). The association of variants of these genes with extreme sleep conditions were usually based on clinically ascertained families, and their effects when identified in the population are unknown. We aimed to determine the effects of these variants on sleep traits in large population-based cohorts. We performed genetic association analysis of variants previously reported to be causal for Mendelian sleep and circadian conditions. Analyses were performed using 191,929 individuals with data on sleep and whole-exome or genome-sequence data from 4 population-based studies: UK Biobank, FINRISK, Health-2000-2001, and the Multi-Ethnic Study of Atherosclerosis (MESA). We identified sleep disorders from self-report, hospital and primary care data. We estimated sleep duration and timing measures from self-report and accelerometery data. We identified carriers for 10 out of 12 previously reported pathogenic variants for 8 of the 10 genes. They ranged in frequency from 1 individual with the variant in CSNK1D to 1,574 individuals with a reported variant in the PER3 gene in the UK Biobank. We found no association of any of these variants with extreme sleep or circadian phenotypes. Using sleep timing as a proxy measure for sleep phase, only PER3 and CRY1 variants demonstrated association with earlier and later sleep timing, respectively; however, the magnitude of effect was smaller than previously reported (sleep midpoint ~7 mins earlier and ~5 mins later, respectively). We also performed burden tests of protein truncating (PTVs) or rare missense variants for the 10 genes. Only PTVs in PER2 and PER3 were associated with a relevant trait (for example, 64 individuals with a PTV in PER2 had an odds ratio of 4.4 for being "definitely a morning person", P=4x10-8; and had a 57-minute earlier midpoint sleep, P=5x10-7). Our results indicate that previously reported variants for Mendelian sleep and circadian conditions are often not highly penetrant when ascertained incidentally from the general population.
- organism: human
- assay: whole-exome sequencing
- assay: whole-genome sequencing
- research focus: variant effect prediction
- approach: statistical model
- Citations
- 10
- FWCI
- 0.92
- Field percentile
- top 31%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Rare Coding Variants Reveal Distinct Genetic Architectures Across Multidimensional Sleep Phenotypes
Yingzhe Zhang, Wenhan Lu, … Chia‐Yen Chen·medRxiv·Jun 18, 2026
- Genome-wide association analyses in >119,000 individuals identifies thirteen morningness and two sleep duration loci
Samuel E Jones, Jessica Tyrrell, … Michael N Weedon·bioRxiv·Feb 2, 2016
- Multi-ancestry genome-wide analysis identifies common genetic variants for self-reported sleep duration and shared genetic effects
Ben H Scammell, Cynthia Ines Mantho Tchio, … Richa Saxena·Human Molecular GeneticsPeer-reviewed·Jun 28, 2023
- Genetic studies of accelerometer-based sleep measures in 85,670 individuals yield new insights into human sleep behaviour
Samuel E. Jones, Vincent T. van Hees, … Andrew R. Wood·bioRxiv·Sep 13, 2018
- From Normal Variation in Sleep to Clinical Sleep Disorders: Genetic Insights from Over One Million Individuals
Lovemore Kunorozva, Jesse Tyler Valliere, … Jacqueline M. Lane·medRxiv·Nov 21, 2025
- Multi-ancestry genetic architecture of sleep duration and its relationship to other sleep and psychiatric phenotypes
Isabelle Austin-Zimmerman, Daniel F. Levey, … Joel E. Gelernter·medRxiv·May 19, 2025