Summary: Researchers have identified a genetic link between a diverse array of health disorders and sleep problems.
Source: Mass General.
A team of American and British scientists have for the first time discovered genetic connections between sleep disturbance and a range of medical disorders including obesity.
Lead author Jacqueline Lane, PhD, postdoctoral fellow at Massachusetts General Hospital (MGH), and joint senior authors Richa Saxena, PhD, assistant professor of Anæsthesia at MGH and Harvard Medical School, and Martin K Rutter, MD, FRCP, senior lecturer in Cardiometabolic Medicine from The University of Manchester, publish their groundbreaking research in Nature Genetics today.
The study looked at the biological controllers of sleep duration, insomnia and excessive daytime sleepiness and how they linked to the health and life histories of more than 112,000 people taking part in the world-leading UK Biobank study. Study participants reported their sleep duration, the degree of insomnia and daytime sleepiness, and then had their genes mapped. Other information about them, such as their weight and any diseases they suffered from, was also collected.
The researchers identified for the first time areas of the genome that are associated with sleep disturbance – including insomnia and excessive daytime sleepiness – and also discovered novel genetic links with several medical conditions, including restless legs syndrome, schizophrenia and obesity. The strongest genetic association for insomnia symptoms fell within a gene previously linked to restless legs syndrome – a nervous system disorder affecting around 1 in 20 people that leads to a strong urge to move one’s legs, which is often worse at night. Other gene regions were important for insomnia, but selectively in either men or women.
The team also identified genetic links between longer sleep duration and schizophrenia risk and between increased levels of excessive daytime sleepiness and measures of obesity (body mass index and waist circumference). The research also suggested that insomnia has shared underlying biology with major depression and abnormal glucose metabolism.
Funded by the U.S. National Institutes of Health and The University of Manchester’s Research Innovation Fund, the study marks a major advance in understanding the biology of sleep.
One in four British adults are obese, according to the U.N. Food and Agriculture Organization, prompting fears that the U.K. has become the “fat man of Europe.” And at any one time, about 280,000 people are being treated for schizophrenia by the National Health Service. Individuals with schizophrenia have a 1 in 10 chance of dying by their own hand within ten years of diagnosis.
Rutter says, “This clinical science is an important step forwards in understanding the biological basis for these conditions; so it’s very exciting. Scientists have long observed a connection between sleep disorders and these conditions in epidemiological studies. But this is the first time these biological links have been identified at a molecular level.”
UK Biobank aims to improving the prevention, diagnosis and treatment of a wide range of serious and life-threatening illnesses. Lane says, “We’re particularly pleased to be able to use UK Biobank data in this way; it’s an amazing resource for scientists.”
Saxena adds, “It’s important to remember there is no molecular targeting available for conditions which affect sleep: all we really have are sedatives. So we hope that this research will enable scientists to develop new ways to intervene on a range of conditions in a much more fundamental way. We acknowledge these findings will need further study, but we believe this knowledge amounts to a key advance in our understanding of the biology behind sleep – a major influence on our health and behaviour.”
Funding: Funding provided by National Institutes of Health, University of Manchester Research Innovation Fund.
Source: Terri Ogan – Mass General
Image Source: NeuroscienceNews.com image is in the public domain.
Original Research: Abstract for “Genome-wide association analyses of sleep disturbance traits identify new loci and highlight shared genetics with neuropsychiatric and metabolic traits” by Jacqueline M Lane, Jingjing Liang, Irma Vlasac, Simon G Anderson, David A Bechtold, Jack Bowden, Richard Emsley, Shubhroz Gill, Max A Little, Annemarie I Luik, Andrew Loudon, Frank A J L Scheer, Shaun M Purcell, Simon D Kyle, Deborah A Lawlor, Xiaofeng Zhu, Susan Redline, David W Ray, Martin K Rutter and Richa Saxena in Nature Genetics. Published online December 19 2016 doi:10.1038/ng.3749
Genome-wide association analyses of sleep disturbance traits identify new loci and highlight shared genetics with neuropsychiatric and metabolic traits
Chronic sleep disturbances, associated with cardiometabolic diseases, psychiatric disorders and all-cause mortality, affect 25–30% of adults worldwide. Although environmental factors contribute substantially to self-reported habitual sleep duration and disruption, these traits are heritable and identification of the genes involved should improve understanding of sleep, mechanisms linking sleep to disease and development of new therapies. We report single- and multiple-trait genome-wide association analyses of self-reported sleep duration, insomnia symptoms and excessive daytime sleepiness in the UK Biobank (n = 112,586). We discover loci associated with insomnia symptoms (near MEIS1, TMEM132E, CYCL1 and TGFBI in females and WDR27 in males), excessive daytime sleepiness (near AR–OPHN1) and a composite sleep trait (near PATJ (INADL) and HCRTR2) and replicate a locus associated with sleep duration (at PAX8). We also observe genetic correlation between longer sleep duration and schizophrenia risk (rg = 0.29, P = 1.90 × 10−13) and between increased levels of excessive daytime sleepiness and increased measures for adiposity traits (body mass index (BMI): rg = 0.20, P = 3.12 × 10−9; waist circumference: rg = 0.20, P = 2.12 × 10−7).
“Genome-wide association analyses of sleep disturbance traits identify new loci and highlight shared genetics with neuropsychiatric and metabolic traits” by Jacqueline M Lane, Jingjing Liang, Irma Vlasac, Simon G Anderson, David A Bechtold, Jack Bowden, Richard Emsley, Shubhroz Gill, Max A Little, Annemarie I Luik, Andrew Loudon, Frank A J L Scheer, Shaun M Purcell, Simon D Kyle, Deborah A Lawlor, Xiaofeng Zhu, Susan Redline, David W Ray, Martin K Rutter and Richa Saxena in Nature Genetics. Published online December 19 2016 doi:10.1038/ng.3749