Dys-regulation of the body's internal circadian time-keeping mechanism is an established risk factor for metabolic disease. Chronotype, or sleep-timing preference during the 24 hour day, is a behavioral manifestation of underlying circadian rhythms that can be assessed by questionnaires in large populations. Chronotype is heritable and from large-scale GWAS, robust underlying genetic variants implicating circadian and other pathways have been found, providing opportunities to understand the biological causes and consequences of circadian rhythm disturbances on human physiology. We hypothesize that identification of causal variants underlying genetic associations, characterization of the molecular, cellular and physiologic function of culprit mutations and genes, and dissection of causal genetic relationships between chronotype variants and metabolic disease using computational and experimental approaches will help illuminate the role of chronotype in health, obesity and risk of type 2 diabetes. In order to test these hypotheses, we propose the following specific aims: 1) To identify causal variants underlying known genome-wide significant and newly discovered chronotype loci using large publicly available genotype and self-reported chronotype (n~500k) and objective sleep timing information (n~100k); 2) To determine the molecular, cellular and physiologic effects of causal variants and genes in human models using analyses of existing resources, experimental assays and unique controlled in-laboratory sample collections; and 3) To systematically evaluate the polygenic overlap of chronotype genes and pathways with type 2 diabetes susceptibility. This work will build the knowledge necessary to understand the mechanistic link of timing of the internal circadian rhythm to type 2 diabetes, opening potential new avenues of treatment for circadian rhythm disorders and type 2 diabetes.

Public Health Relevance

Morningness and eveningness are common traits, but little is known about how these changes reflecting internal circadian rhythm are caused at the molecular level, and how genetic variation in chronotype relates to metabolic disease. We will use human genetics and functional assays to understand the role of known and newly identified genes that contribute to differences in chronotype among individuals, and genetic relationship to metabolic phenotypes and outcomes. This work should inform knowledge of causes of morningness and eveningness, their link to metabolism and is relevant for leading to better prevention, diagnosis and therapies for circadian disorders and metabolic disease.

Agency
National Institute of Health (NIH)
Institute
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Type
Research Project (R01)
Project #
1R01DK107859-01A1
Application #
9176615
Study Section
Cancer, Heart, and Sleep Epidemiology A Study Section (CHSA)
Program Officer
Akolkar, Beena
Project Start
2016-07-01
Project End
2021-05-31
Budget Start
2016-07-01
Budget End
2017-05-31
Support Year
1
Fiscal Year
2016
Total Cost
$427,500
Indirect Cost
$177,500
Name
Massachusetts General Hospital
Department
Type
DUNS #
073130411
City
Boston
State
MA
Country
United States
Zip Code
02114
Prasad, Bharati; Saxena, Richa; Goel, Namni et al. (2018) Genetic Ancestry for Sleep Research: Leveraging Health Inequalities to Identify Causal Genetic Variants. Chest 153:1478-1496
Chen, Han; Cade, Brian E; Gleason, Kevin J et al. (2018) Multiethnic Meta-Analysis Identifies RAI1 as a Possible Obstructive Sleep Apnea-related Quantitative Trait Locus in Men. Am J Respir Cell Mol Biol 58:391-401
Vera, Beatriz; Dashti, Hassan S; Gómez-Abellán, Purificación et al. (2018) Modifiable lifestyle behaviors, but not a genetic risk score, associate with metabolic syndrome in evening chronotypes. Sci Rep 8:945
Mukherjee, Sutapa; Saxena, Richa; Palmer, Lyle J (2018) The genetics of obstructive sleep apnoea. Respirology 23:18-27
Grant, Leilah K; Cain, Sean W; Chang, Anne-Marie et al. (2018) Impaired cognitive flexibility during sleep deprivation among carriers of the Brain Derived Neurotrophic Factor (BDNF) Val66Met allele. Behav Brain Res 338:51-55
Vetter, Céline; Dashti, Hassan S; Lane, Jacqueline M et al. (2018) Night Shift Work, Genetic Risk, and Type 2 Diabetes in the UK Biobank. Diabetes Care 41:762-769
Lopez-Minguez, Jesus; Dashti, Hassan S; Madrid-Valero, Juan J et al. (2018) Heritability of the timing of food intake. Clin Nutr :
Kyle, Simon D; Sexton, Claire E; Feige, Bernd et al. (2017) Sleep and cognitive performance: cross-sectional associations in the UK Biobank. Sleep Med 38:85-91
Johnson, Dayna A; Lane, Jacqueline; Wang, Rui et al. (2017) Greater Cognitive Deficits with Sleep-disordered Breathing among Individuals with Genetic Susceptibility to Alzheimer Disease. The Multi-Ethnic Study of Atherosclerosis. Ann Am Thorac Soc 14:1697-1705
Lane, Jacqueline M; Liang, Jingjing; Vlasac, Irma et al. (2017) Genome-wide association analyses of sleep disturbance traits identify new loci and highlight shared genetics with neuropsychiatric and metabolic traits. Nat Genet 49:274-281

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