Gene-Environment Interactions of Circadian-Related Genes for Cardiometabolic Traits
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-rs1...
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| Veröffentlicht in: | Diabetes care 2015-08, Vol.38 (8), p.1456-1466 |
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| creator | Dashti, Hassan S Follis, Jack L Smith, Caren E Tanaka, Toshiko Garaulet, Marta Gottlieb, Daniel J Hruby, Adela Jacques, Paul F Kiefte-de Jong, Jessica C Lamon-Fava, Stefania Scheer, Frank A J L Bartz, Traci M Kovanen, Leena Wojczynski, Mary K Frazier-Wood, Alexis C Ahluwalia, Tarunveer S Perälä, Mia-Maria Jonsson, Anna Muka, Taulant Kalafati, Ioanna P Mikkilä, Vera Ordovás, José M |
| description | 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.
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.
We observed significant associations between relative macronutrient intakes and glycemic traits and short sleep duration ( |
| doi_str_mv | 10.2337/dc14-2709 |
| format | Article |
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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.
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).
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.</description><identifier>ISSN: 0149-5992</identifier><identifier>EISSN: 1935-5548</identifier><identifier>DOI: 10.2337/dc14-2709</identifier><identifier>PMID: 26084345</identifier><identifier>CODEN: DICAD2</identifier><language>eng</language><publisher>United States: American Diabetes Association</publisher><subject>Adult ; Alleles ; blood glucose ; Blood Glucose - metabolism ; body mass index ; carbohydrate intake ; Cardiovascular system ; Circadian rhythm ; Circadian Rhythm Signaling Peptides and Proteins - genetics ; Cohort Studies ; Diabetes ; Diabetes Mellitus, Type 2 - blood ; Diabetes Mellitus, Type 2 - diet therapy ; Diabetes Mellitus, Type 2 - genetics ; Diet, Fat-Restricted ; Epidemiology/Health Services Research ; Europe ; European Continental Ancestry Group - genetics ; Fasting - blood ; Female ; Gene-Environment Interaction ; Genes ; genetic variation ; genotype-environment interaction ; glycemic effect ; glycemic index ; high carbohydrate diet ; high density lipoprotein cholesterol ; Humans ; Insulin resistance ; Insulin Resistance - genetics ; low fat diet ; Male ; Metabolism ; Middle Aged ; Multicenter Studies as Topic ; noninsulin-dependent diabetes mellitus ; Observational Studies as Topic ; Phenotype ; Polymorphism, Single Nucleotide - genetics ; sleep ; Sleep - physiology ; waist circumference ; Waist Circumference - genetics ; Whites</subject><ispartof>Diabetes care, 2015-08, Vol.38 (8), p.1456-1466</ispartof><rights>2015 by the American Diabetes Association. Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered.</rights><rights>Copyright American Diabetes Association Aug 2015</rights><rights>2015 by the American Diabetes Association. Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered. 2015</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c502t-de66db316517b036f8ba3b7c789a7b56e2746d2910dd5ae8ef3d3dea2a05727f3</citedby><cites>FETCH-LOGICAL-c502t-de66db316517b036f8ba3b7c789a7b56e2746d2910dd5ae8ef3d3dea2a05727f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26084345$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Dashti, Hassan S</creatorcontrib><creatorcontrib>Follis, Jack L</creatorcontrib><creatorcontrib>Smith, Caren E</creatorcontrib><creatorcontrib>Tanaka, Toshiko</creatorcontrib><creatorcontrib>Garaulet, Marta</creatorcontrib><creatorcontrib>Gottlieb, Daniel J</creatorcontrib><creatorcontrib>Hruby, Adela</creatorcontrib><creatorcontrib>Jacques, Paul F</creatorcontrib><creatorcontrib>Kiefte-de Jong, Jessica C</creatorcontrib><creatorcontrib>Lamon-Fava, Stefania</creatorcontrib><creatorcontrib>Scheer, Frank A J L</creatorcontrib><creatorcontrib>Bartz, Traci M</creatorcontrib><creatorcontrib>Kovanen, Leena</creatorcontrib><creatorcontrib>Wojczynski, Mary K</creatorcontrib><creatorcontrib>Frazier-Wood, Alexis C</creatorcontrib><creatorcontrib>Ahluwalia, Tarunveer S</creatorcontrib><creatorcontrib>Perälä, Mia-Maria</creatorcontrib><creatorcontrib>Jonsson, Anna</creatorcontrib><creatorcontrib>Muka, Taulant</creatorcontrib><creatorcontrib>Kalafati, Ioanna P</creatorcontrib><creatorcontrib>Mikkilä, Vera</creatorcontrib><creatorcontrib>Ordovás, José M</creatorcontrib><creatorcontrib>CHARGE Nutrition Study Group</creatorcontrib><creatorcontrib>for the CHARGE Nutrition Study Group</creatorcontrib><title>Gene-Environment Interactions of Circadian-Related Genes for Cardiometabolic Traits</title><title>Diabetes care</title><addtitle>Diabetes Care</addtitle><description>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.
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.
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).
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.</description><subject>Adult</subject><subject>Alleles</subject><subject>blood glucose</subject><subject>Blood Glucose - metabolism</subject><subject>body mass index</subject><subject>carbohydrate intake</subject><subject>Cardiovascular system</subject><subject>Circadian rhythm</subject><subject>Circadian Rhythm Signaling Peptides and Proteins - genetics</subject><subject>Cohort Studies</subject><subject>Diabetes</subject><subject>Diabetes Mellitus, Type 2 - blood</subject><subject>Diabetes Mellitus, Type 2 - diet therapy</subject><subject>Diabetes Mellitus, Type 2 - genetics</subject><subject>Diet, Fat-Restricted</subject><subject>Epidemiology/Health Services Research</subject><subject>Europe</subject><subject>European Continental Ancestry Group - genetics</subject><subject>Fasting - blood</subject><subject>Female</subject><subject>Gene-Environment Interaction</subject><subject>Genes</subject><subject>genetic variation</subject><subject>genotype-environment interaction</subject><subject>glycemic effect</subject><subject>glycemic index</subject><subject>high carbohydrate diet</subject><subject>high density lipoprotein cholesterol</subject><subject>Humans</subject><subject>Insulin resistance</subject><subject>Insulin Resistance - genetics</subject><subject>low fat diet</subject><subject>Male</subject><subject>Metabolism</subject><subject>Middle Aged</subject><subject>Multicenter Studies as Topic</subject><subject>noninsulin-dependent diabetes mellitus</subject><subject>Observational Studies as Topic</subject><subject>Phenotype</subject><subject>Polymorphism, Single Nucleotide - genetics</subject><subject>sleep</subject><subject>Sleep - physiology</subject><subject>waist circumference</subject><subject>Waist Circumference - genetics</subject><subject>Whites</subject><issn>0149-5992</issn><issn>1935-5548</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpdkUtr3TAQhUVpaW7SLvIHgqGbZuFU0uhhbQrhkhcECm26FrI0ThRsKZV8A_338SUPksDALOabw5k5hOwzesQB9I_gmWi5puYDWTEDspVSdB_JijJhWmkM3yG7td5SSoXous9khyvaCRByRf6cYcL2JN3HktOEaW4u0ozF-TnmVJs8NOtYvAvRpfY3jm7G0GxXajPk0qxdCTFPOLs-j9E3V8XFuX4hnwY3Vvz61PfI39OTq_V5e_nr7GJ9fNl6SfncBlQq9MCUZLqnoIaud9BrrzvjdC8Vci1U4IbREKTDDgcIENBxR6XmeoA98vNR927TTxj84r640d6VOLny32YX7dtJijf2Ot9bIRlnYBaB708CJf_bYJ3tFKvHcXQJ86ZarkCBWQoW9Ns79DZvSlrOs0wtH9YAvFuow0fKl1xrweHFDKN2G5XdRmW3US3swWv3L-RzNvAAEuiPgg</recordid><startdate>20150801</startdate><enddate>20150801</enddate><creator>Dashti, Hassan S</creator><creator>Follis, Jack L</creator><creator>Smith, Caren E</creator><creator>Tanaka, Toshiko</creator><creator>Garaulet, Marta</creator><creator>Gottlieb, Daniel J</creator><creator>Hruby, Adela</creator><creator>Jacques, Paul F</creator><creator>Kiefte-de Jong, Jessica C</creator><creator>Lamon-Fava, Stefania</creator><creator>Scheer, Frank A J L</creator><creator>Bartz, Traci M</creator><creator>Kovanen, Leena</creator><creator>Wojczynski, Mary K</creator><creator>Frazier-Wood, Alexis C</creator><creator>Ahluwalia, Tarunveer S</creator><creator>Perälä, Mia-Maria</creator><creator>Jonsson, Anna</creator><creator>Muka, Taulant</creator><creator>Kalafati, Ioanna P</creator><creator>Mikkilä, Vera</creator><creator>Ordovás, José M</creator><general>American Diabetes Association</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7S9</scope><scope>L.6</scope><scope>5PM</scope></search><sort><creationdate>20150801</creationdate><title>Gene-Environment Interactions of Circadian-Related Genes for Cardiometabolic Traits</title><author>Dashti, Hassan S ; Follis, Jack L ; Smith, Caren E ; Tanaka, Toshiko ; Garaulet, Marta ; Gottlieb, Daniel J ; Hruby, Adela ; Jacques, Paul F ; Kiefte-de Jong, Jessica C ; Lamon-Fava, Stefania ; Scheer, Frank A J L ; Bartz, Traci M ; Kovanen, Leena ; Wojczynski, Mary K ; Frazier-Wood, Alexis C ; Ahluwalia, Tarunveer S ; Perälä, Mia-Maria ; Jonsson, Anna ; Muka, Taulant ; Kalafati, Ioanna P ; Mikkilä, Vera ; Ordovás, José M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c502t-de66db316517b036f8ba3b7c789a7b56e2746d2910dd5ae8ef3d3dea2a05727f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Adult</topic><topic>Alleles</topic><topic>blood glucose</topic><topic>Blood Glucose - 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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.
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.
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).
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.</abstract><cop>United States</cop><pub>American Diabetes Association</pub><pmid>26084345</pmid><doi>10.2337/dc14-2709</doi><tpages>11</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Adult Alleles blood glucose Blood Glucose - metabolism body mass index carbohydrate intake Cardiovascular system Circadian rhythm Circadian Rhythm Signaling Peptides and Proteins - genetics Cohort Studies Diabetes Diabetes Mellitus, Type 2 - blood Diabetes Mellitus, Type 2 - diet therapy Diabetes Mellitus, Type 2 - genetics Diet, Fat-Restricted Epidemiology/Health Services Research Europe European Continental Ancestry Group - genetics Fasting - blood Female Gene-Environment Interaction Genes genetic variation genotype-environment interaction glycemic effect glycemic index high carbohydrate diet high density lipoprotein cholesterol Humans Insulin resistance Insulin Resistance - genetics low fat diet Male Metabolism Middle Aged Multicenter Studies as Topic noninsulin-dependent diabetes mellitus Observational Studies as Topic Phenotype Polymorphism, Single Nucleotide - genetics sleep Sleep - physiology waist circumference Waist Circumference - genetics Whites |
| title | Gene-Environment Interactions of Circadian-Related Genes for Cardiometabolic Traits |
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