medRxivGenetic & Genomic MedicinePreprint
Genome-wide association study investigating short and long sleep duration: a cross-population meta-analysis
Isabelle Austin-ZimmermaniD, Daniel F. LeveyiD, Olga GiannakopoulouiD, Joseph D. DeakiD, Marco GalimbertiiD, Hang ZhouiD, Spiros DenaxasiD, Haritz IrizariD, Karoline B. KuchenbaeckeriD, Andrew McQuilliniD, the Million Veteran Program, John ConcatoiD, Daniel J. BuysseiD, J. Michael GazianoiD, Daniel J. GottliebiD, Renato A PolimantiiD, Murray B. SteiniD, Elvira BramoniD, Joel E. GelernteriD
Abstract
Sleep duration has been linked to a wide range of negative health outcomes and to reduced life expectancy. We conducted genome-wide association studies of short ([≤]5 hours) and long ([≥]10 hours) sleep duration in adults of European, African, East Asian, and admixed-American ancestry from UK Biobank and the Million Veteran Program. In a cross-population meta-analysis we identified 84 independent loci for short sleep and 1 for long sleep. We estimated SNP-based heritability for both sleep traits in each ancestry based on population derived linkage disequilibrium (LD) scores using cov-LDSC. We identified positive genetic correlation between short and long sleep traits (rg = 0.16{+/-}0.04; P=0.0002), as well as similar patterns of genetic correlation with other psychiatric and cardiometabolic phenotypes. Mendelian randomisation revealed a directional causal relationship between short sleep and depression, and a bidirectional causal relationship between long sleep and depression.
- organism: human
- assay: GWAS summary statistics
- research focus: GWAS / association mapping
- approach: statistical model
- approach: benchmark study
- Citations
- 0
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