Genome-wide association analyses in >119,000 individuals identifies thirteen morningness and two sleep duration loci
Samuel E Jones, Jessica TyrrelliD, Andrew R Wood, Robin N Beaumont, Katherine S Ruth, Marcus A Tuke, Hanieh YaghootkariD, Youna Hu, Maris Teder-Laving, Caroline HaywardiD, Till RoennebergiD, James F Wilson, Fabiola Del Greco, Andrew A Hicks, Chol Shin, Chang-Ho Yun, Seung Ku Lee, Andres MetspaluiD, Enda M Byrne, Philip R Gehrman, Henning Tiemeier, Karla V Allebrandt, Rachel M Freathy, Anna MurrayiD, David A Hinds, , Michael N Weedon
Abstract
Disrupted circadian rhythms and reduced sleep duration are associated with several human diseases, particularly obesity and type 2 diabetes, but little is known about the genetic factors influencing these heritable traits. We performed genome-wide association studies of self-reported chronotype (morning/evening person) and self-reported sleep duration in 128,266 White British individuals from the UK Biobank study. Sixteen variants were associated with chronotype (P<5x10-8), including variants near the known circadian rhythm genes RGS16 (1.21 odds of morningness [95%CI 1.15, 1.27], P=3x10-12) and PER2 (1.09 odds of morningness [95%CI 1.06, 1.12], P=4x10-10). The PER2 signal has previously been associated with iris function. We sought replication using self-reported data from 89,823 23andMe participants; thirteen of the chronotype signals remained significant at P<5x10-8 on meta-analysis and eleven of these reached P<0.05 in the same direction in the 23andMe study. For sleep duration, we replicated one known signal in PAX8 (2.6 [95%CIs 1.9, 3.2] minutes per allele P=5.7x10-16) and identified and replicated two novel associations at VRK2 (2.0 [95% CI: 1.3, 2.7] minutes per allele, P=1.2x10-9; and 1.6 [95% CI: 1.1, 2.2] minutes per allele, P=7.6x10-9). Although we found genetic correlation between chronotype and BMI (rG=0.056, P=0.048); undersleeping and BMI (rG=0.147, P=1x10-5) and oversleeping and BMI (rG=0.097, P=0.039), Mendelian Randomisation analyses provided no consistent evidence of causal associations between BMI or type 2 diabetes and chronotype or sleep duration. Our study provides new insights into the biology of sleep and circadian rhythms in humans.
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