Genome-wide association analysis identifies novel loci for chronotype in 100,420 individuals from the UK Biobank

Autor: Max A. Little, Richa Saxena, Simon G. Anderson, Andrew S. I. Loudon, Shubhroz Gill, Debbie A Lawlor, Richard Emsley, Martin K. Rutter, Irma Vlasac, David A. Bechtold, Jacqueline M. Lane, David W. Ray, Simon D. Kyle, Susan Redline, Frank A.J.L. Scheer, Annemarie I. Luik, William G Dixon
Jazyk: angličtina
Rok vydání: 2016
Předmět:
Zdroj: Nature Communications, Vol 7, Iss 1, Pp 1-10 (2016)
Lane, J M, Vlasac, I, Anderson, S G, Kyle, S D, Dixon, W G, Bechtold, D A, Gill, S, Little, M A, Luik, A, Loudon, A, Emsley, R, Scheer, F A J L, Lawlor, D A, Redline, S, Ray, D W, Rutter, M K & Saxena, R 2016, ' Genome-wide association analysis identifies novel loci for chronotype in 100,420 individuals from the UK Biobank ', Nature Communications, vol. 7, 10889 . https://doi.org/10.1038/ncomms10889
Nature Communications
ISSN: 2041-1723
Popis: Our sleep timing preference, or chronotype, is a manifestation of our internal biological clock. Variation in chronotype has been linked to sleep disorders, cognitive and physical performance, and chronic disease. Here we perform a genome-wide association study of self-reported chronotype within the UK Biobank cohort (n=100,420). We identify 12 new genetic loci that implicate known components of the circadian clock machinery and point to previously unstudied genetic variants and candidate genes that might modulate core circadian rhythms or light-sensing pathways. Pathway analyses highlight central nervous and ocular systems and fear-response-related processes. Genetic correlation analysis suggests chronotype shares underlying genetic pathways with schizophrenia, educational attainment and possibly BMI. Further, Mendelian randomization suggests that evening chronotype relates to higher educational attainment. These results not only expand our knowledge of the circadian system in humans but also expose the influence of circadian characteristics over human health and life-history variables such as educational attainment.
Here, Richa Saxena and colleagues perform a genome-wide association study (GWAS) of self-reported morningness/eveningness preference in the UKBiobank cohort, and identify new genetic loci that contribute to a person's chronotype.
Databáze: OpenAIRE