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There has been recent substantial progress in elucidating gene variants that confer risk for common sleep disorders, and also for those associated with different quantitative aspects of the sleep/circadian phenotype. The major strategy employed has been genome-wide association studies (GWAS). Initially, the approach was to recruit and phenotype large numbers of cases with specific sleep disorders and controls. This was used to identify gene variants conferring risk for Restless Legs Syndrome (RLS) and narcolepsy. This approach is, however, timeconsuming and expensive. Newer approaches have involved establishing biobanks with large numbers of subjects with a variety of disorders and controls, all of whom are genotyped. One of the most successful such efforts has been the UK Biobank. Studies using data from the UK Biobank have led to successful GWAS for sleep duration, chronotype, excessive sleepiness, and insomnia. The challenge is that the phenotype data are quite limited.