04354nas a2200661 4500008004100000022001400041245008900055210006900144260001300213300001200226490000700238520241500245653001002660653001202670653001802682653005302700653001902753653003002772653002502802653004002827653001202867653001102879653003302890653001102923653002302934653000902957653001602966653003302982653003503015653001403050653003603064653001003100653002403110100002203134700002003156700002003176700002003196700002003216700002403236700001703260700002103277700003203298700002503330700002503355700002003380700001903400700002403419700002803443700002803471700002403499700001803523700001803541700002403559700001903583700002103602710003303623856003603656 2015 eng d a1935-554800aGene-Environment Interactions of Circadian-Related Genes for Cardiometabolic Traits.0 aGeneEnvironment Interactions of CircadianRelated Genes for Cardi c2015 Aug a1456-660 v383 a
OBJECTIVE: Common circadian-related gene variants associate with increased risk for metabolic alterations including type 2 diabetes. However, little is known about whether diet and sleep could modify associations between circadian-related variants (CLOCK-rs1801260, CRY2-rs11605924, MTNR1B-rs1387153, MTNR1B-rs10830963, NR1D1-rs2314339) and cardiometabolic traits (fasting glucose [FG], HOMA-insulin resistance, BMI, waist circumference, and HDL-cholesterol) to facilitate personalized recommendations.
RESEARCH DESIGN AND METHODS: We conducted inverse-variance weighted, fixed-effect meta-analyses of results of adjusted associations and interactions between dietary intake/sleep duration and selected variants on cardiometabolic traits from 15 cohort studies including up to 28,190 participants of European descent from the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium.
RESULTS: We observed significant associations between relative macronutrient intakes and glycemic traits and short sleep duration (<7 h) and higher FG and replicated known MTNR1B associations with glycemic traits. No interactions were evident after accounting for multiple comparisons. However, we observed nominally significant interactions (all P < 0.01) between carbohydrate intake and MTNR1B-rs1387153 for FG with a 0.003 mmol/L higher FG with each additional 1% carbohydrate intake in the presence of the T allele, between sleep duration and CRY2-rs11605924 for HDL-cholesterol with a 0.010 mmol/L higher HDL-cholesterol with each additional hour of sleep in the presence of the A allele, and between long sleep duration (≥9 h) and MTNR1B-rs1387153 for BMI with a 0.60 kg/m(2) higher BMI with long sleep duration in the presence of the T allele relative to normal sleep duration (≥7 to <9 h).
CONCLUSIONS: Our results suggest that lower carbohydrate intake and normal sleep duration may ameliorate cardiometabolic abnormalities conferred by common circadian-related genetic variants. Until further mechanistic examination of the nominally significant interactions is conducted, recommendations applicable to the general population regarding diet—specifically higher carbohydrate and lower fat composition—and normal sleep duration should continue to be emphasized among individuals with the investigated circadian-related gene variants.
10aAdult10aAlleles10aBlood Glucose10aCircadian Rhythm Signaling Peptides and Proteins10aCohort Studies10aDiabetes Mellitus, Type 210aDiet, Fat-Restricted10aEuropean Continental Ancestry Group10aFasting10aFemale10aGene-Environment Interaction10aHumans10aInsulin Resistance10aMale10aMiddle Aged10aMulticenter Studies as Topic10aObservational Studies as Topic10aPhenotype10aPolymorphism, Single Nucleotide10aSleep10aWaist Circumference1 aDashti, Hassan, S1 aFollis, Jack, L1 aSmith, Caren, E1 aTanaka, Toshiko1 aGaraulet, Marta1 aGottlieb, Daniel, J1 aHruby, Adela1 aJacques, Paul, F1 ade Jong, Jessica, C Kiefte-1 aLamon-Fava, Stefania1 aScheer, Frank, A J L1 aBartz, Traci, M1 aKovanen, Leena1 aWojczynski, Mary, K1 aFrazier-Wood, Alexis, C1 aAhluwalia, Tarunveer, S1 aPerälä, Mia-Maria1 aJonsson, Anna1 aMuka, Taulant1 aKalafati, Ioanna, P1 aMikkilä, Vera1 aOrdovas, Jose, M1 aCHARGE Nutrition Study Group uhttps://chs-nhlbi.org/node/692705324nas a2201021 4500008004100000022001400041245012300055210006900178260001300247300001100260490000800271520242700279653001002706653002002716653001902736653001902755653002802774653000902802653002102811653001802832653004002850653002902890653001102919653003302930653003802963653001103001653000903012653001603021653001203037653003603049653001003085653001603095100002203111700002003133700002003153700002003173700001903193700002403212700001703236700002103253700002503274700002103299700001803320700002503338700001903363700002003382700002403402700001803426700002803444700003103472700001903503700001903522700002403541700001603565700002303581700001503604700001903619700002203638700002303660700001903683700002003702700002003722700001803742700002503760700002403785700002003809700002203829700002403851700002303875700002303898700002203921700002003943700002403963700002503987700002104012700002104033700001904054700002004073700002004093700002304113700002504136700001904161700002104180700002204201700002204223700002104245856003604266 2015 eng d a1938-320700aHabitual sleep duration is associated with BMI and macronutrient intake and may be modified by CLOCK genetic variants.0 aHabitual sleep duration is associated with BMI and macronutrient c2015 Jan a135-430 v1013 aBACKGROUND: Short sleep duration has been associated with greater risks of obesity, hypertension, diabetes, and cardiovascular disease. Also, common genetic variants in the human Circadian Locomotor Output Cycles Kaput (CLOCK) show associations with ghrelin and total energy intake.
OBJECTIVES: We examined associations between habitual sleep duration, body mass index (BMI), and macronutrient intake and assessed whether CLOCK variants modify these associations.
DESIGN: We conducted inverse-variance weighted, fixed-effect meta-analyses of results of adjusted associations of sleep duration and BMI and macronutrient intake as percentages of total energy as well as interactions with CLOCK variants from 9 cohort studies including up to 14,906 participants of European descent from the Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium.
RESULTS: We observed a significant association between sleep duration and lower BMI (β ± SE = 0.16 ± 0.04, P < 0.0001) in the overall sample; however, associations between sleep duration and relative macronutrient intake were evident in age- and sex-stratified analyses only. We observed a significant association between sleep duration and lower saturated fatty acid intake in younger (aged 20-64 y) adults (men: 0.11 ± 0.06%, P = 0.03; women: 0.10 ± 0.05%, P = 0.04) and with lower carbohydrate (-0.31 ± 0.12%, P < 0.01), higher total fat (0.18 ± 0.09%, P = 0.05), and higher PUFA (0.05 ± 0.02%, P = 0.02) intakes in older (aged 65-80 y) women. In addition, the following 2 nominally significant interactions were observed: between sleep duration and rs12649507 on PUFA intake and between sleep duration and rs6858749 on protein intake.
CONCLUSIONS: Our results indicate that longer habitual sleep duration is associated with lower BMI and age- and sex-specific favorable dietary behaviors. Differences in the relative intake of specific macronutrients associated with short sleep duration could, at least in part, explain previously reported associations between short sleep duration and chronic metabolic abnormalities. In addition, the influence of obesity-associated CLOCK variants on the association between sleep duration and macronutrient intake suggests that longer habitual sleep duration could ameliorate the genetic predisposition to obesity via a favorable dietary profile.
10aAdult10aBody Mass Index10aCLOCK Proteins10aCohort Studies10aCross-Sectional Studies10aDiet10aDietary Proteins10aEnergy Intake10aEuropean Continental Ancestry Group10aFatty Acids, Unsaturated10aFemale10aGene-Environment Interaction10aGenetic Predisposition to Disease10aHumans10aMale10aMiddle Aged10aObesity10aPolymorphism, Single Nucleotide10aSleep10aYoung Adult1 aDashti, Hassan, S1 aFollis, Jack, L1 aSmith, Caren, E1 aTanaka, Toshiko1 aCade, Brian, E1 aGottlieb, Daniel, J1 aHruby, Adela1 aJacques, Paul, F1 aLamon-Fava, Stefania1 aRichardson, Kris1 aSaxena, Richa1 aScheer, Frank, A J L1 aKovanen, Leena1 aBartz, Traci, M1 aPerälä, Mia-Maria1 aJonsson, Anna1 aFrazier-Wood, Alexis, C1 aKalafati, Ioanna-Panagiota1 aMikkilä, Vera1 aPartonen, Timo1 aLemaitre, Rozenn, N1 aLahti, Jari1 aHernandez, Dena, G1 aToft, Ulla1 aJohnson, Craig1 aKanoni, Stavroula1 aRaitakari, Olli, T1 aPerola, Markus1 aPsaty, Bruce, M1 aFerrucci, Luigi1 aGrarup, Niels1 aHighland, Heather, M1 aRallidis, Loukianos1 aKähönen, Mika1 aHavulinna, Aki, S1 aSiscovick, David, S1 aRäikkönen, Katri1 aJørgensen, Torben1 aRotter, Jerome, I1 aDeloukas, Panos1 aViikari, Jorma, S A1 aMozaffarian, Dariush1 aLinneberg, Allan1 aSeppälä, Ilkka1 aHansen, Torben1 aSalomaa, Veikko1 aGharib, Sina, A1 aEriksson, Johan, G1 aBandinelli, Stefania1 aPedersen, Oluf1 aRich, Stephen, S1 aDedoussis, George1 aLehtimäki, Terho1 aOrdovas, Jose, M uhttps://chs-nhlbi.org/node/6614