04340nas a2200733 4500008004100000022001400041245013200055210006900187260001300256300001200269490000700281520227500288100001602563700002202579700002002601700002502621700002302646700001302669700002702682700001902709700001602728700002602744700001902770700001702789700002202806700002002828700001702848700002802865700002102893700002402914700001702938700002402955700001802979700002602997700002003023700002003043700002103063700002403084700002003108700002203128700002303150700002403173700002003197700001603217700001803233700001803251700001503269700002003284700002103304700002103325700001503346700001803361700001603379700002303395700001703418700001603435700001803451700002703469700001703496700002003513700002003533700001703553856003603570 2020 eng d a2574-830000aWhole Blood DNA Methylation Signatures of Diet Are Associated With Cardiovascular Disease Risk Factors and All-Cause Mortality.0 aWhole Blood DNA Methylation Signatures of Diet Are Associated Wi c2020 Aug ae0027660 v133 a
BACKGROUND: DNA methylation patterns associated with habitual diet have not been well studied.
METHODS: Diet quality was characterized using a Mediterranean-style diet score and the Alternative Healthy Eating Index score. We conducted ethnicity-specific and trans-ethnic epigenome-wide association analyses for diet quality and leukocyte-derived DNA methylation at over 400 000 CpGs (cytosine-guanine dinucleotides) in 5 population-based cohorts including 6662 European ancestry, 2702 African ancestry, and 360 Hispanic ancestry participants. For diet-associated CpGs identified in epigenome-wide analyses, we conducted Mendelian randomization (MR) analysis to examine their relations to cardiovascular disease risk factors and examined their longitudinal associations with all-cause mortality.
RESULTS: We identified 30 CpGs associated with either Mediterranean-style diet score or Alternative Healthy Eating Index, or both, in European ancestry participants. Among these CpGs, 12 CpGs were significantly associated with all-cause mortality (Bonferroni corrected <1.6×10). Hypermethylation of cg18181703 () was associated with higher scores of both Mediterranean-style diet score and Alternative Healthy Eating Index and lower risk for all-cause mortality (=5.7×10). Ten additional diet-associated CpGs were nominally associated with all-cause mortality (<0.05). MR analysis revealed 8 putatively causal associations for 6 CpGs with 4 cardiovascular disease risk factors (body mass index, triglycerides, high-density lipoprotein cholesterol concentrations, and type 2 diabetes mellitus; Bonferroni corrected MR <4.5×10). For example, hypermethylation of cg11250194 () was associated with lower triglyceride concentrations (MR, =1.5×10).and hypermethylation of cg02079413 (; ) was associated with body mass index (corrected MR, =1×10).
CONCLUSIONS: Habitual diet quality was associated with differential peripheral leukocyte DNA methylation levels of 30 CpGs, most of which were also associated with multiple health outcomes, in European ancestry individuals. These findings demonstrate that integrative genomic analysis of dietary information may reveal molecular targets for disease prevention and treatment.
1 aMa, Jiantao1 aRebholz, Casey, M1 aBraun, Kim, V E1 aReynolds, Lindsay, M1 aAslibekyan, Stella1 aXia, Rui1 aBiligowda, Niranjan, G1 aHuan, Tianxiao1 aLiu, Chunyu1 aMendelson, Michael, M1 aJoehanes, Roby1 aHu, Emily, A1 aVitolins, Mara, Z1 aWood, Alexis, C1 aLohman, Kurt1 aOchoa-Rosales, Carolina1 avan Meurs, Joyce1 aUitterlinden, Andre1 aLiu, Yongmei1 aElhadad, Mohamed, A1 aHeier, Margit1 aWaldenberger, Melanie1 aPeters, Annette1 aColicino, Elena1 aWhitsel, Eric, A1 aBaldassari, Antoine1 aGharib, Sina, A1 aSotoodehnia, Nona1 aBrody, Jennifer, A1 aSitlani, Colleen, M1 aTanaka, Toshiko1 aHill, David1 aCorley, Janie1 aDeary, Ian, J1 aZhang, Yan1 aSchöttker, Ben1 aBrenner, Hermann1 aWalker, Maura, E1 aYe, Shumao1 aNguyen, Steve1 aPankow, Jim1 aDemerath, Ellen, W1 aZheng, Yinan1 aHou, Lifang1 aLiang, Liming1 aLichtenstein, Alice, H1 aHu, Frank, B1 aFornage, Myriam1 aVoortman, Trudy1 aLevy, Daniel uhttps://chs-nhlbi.org/node/844604415nas a2200805 4500008004100000022001400041245024200055210006900297260001300366300001200379490000700391520195900398100002402357700002002381700002202401700002102423700002002444700003002464700001902494700002002513700002102533700002102554700002202575700002202597700002002619700002002639700001802659700002002677700003202697700002102729700001902750700002402769700002902793700001602822700001902838700002902857700002202886700002002908700002202928700001902950700002202969700002402991700002003015700002803035700002003063700002503083700002203108700002003130700002203150700002303172700002403195700002003219700002103239700002103260700002303281700002003304700002103324700001603345700002003361700001803381700002003399700002203419700002303441700002703464700002003491700001903511700002003530700002303550856003603573 2021 eng d a2574-830000aSugar-Sweetened Beverage Consumption May Modify Associations Between Genetic Variants in the CHREBP (Carbohydrate Responsive Element Binding Protein) Locus and HDL-C (High-Density Lipoprotein Cholesterol) and Triglyceride Concentrations.0 aSugarSweetened Beverage Consumption May Modify Associations Betw c2021 Aug ae0032880 v143 aBACKGROUND: ChREBP (carbohydrate responsive element binding protein) is a transcription factor that responds to sugar consumption. Sugar-sweetened beverage (SSB) consumption and genetic variants in the locus have separately been linked to HDL-C (high-density lipoprotein cholesterol) and triglyceride concentrations. We hypothesized that SSB consumption would modify the association between genetic variants in the locus and dyslipidemia.
METHODS: Data from 11 cohorts from the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium (N=63 599) and the UK Biobank (N=59 220) were used to quantify associations of SSB consumption, genetic variants, and their interaction on HDL-C and triglyceride concentrations using linear regression models. A total of 1606 single nucleotide polymorphisms within or near were considered. SSB consumption was estimated from validated questionnaires, and participants were grouped by their estimated intake.
RESULTS: In a meta-analysis, rs71556729 was significantly associated with higher HDL-C concentrations only among the highest SSB consumers (β, 2.12 [95% CI, 1.16-3.07] mg/dL per allele; <0.0001), but not significantly among the lowest SSB consumers (=0.81; <0.0001). Similar results were observed for 2 additional variants (rs35709627 and rs71556736). For triglyceride, rs55673514 was positively associated with triglyceride concentrations only among the highest SSB consumers (β, 0.06 [95% CI, 0.02-0.09] ln-mg/dL per allele, =0.001) but not the lowest SSB consumers (=0.84; =0.0005).
CONCLUSIONS: Our results identified genetic variants in the locus that may protect against SSB-associated reductions in HDL-C and other variants that may exacerbate SSB-associated increases in triglyceride concentrations. Registration: URL: https://www.clinicaltrials.gov; Unique identifier: NCT00005133, NCT00005121, NCT00005487, and NCT00000479.
1 aHaslam, Danielle, E1 aPeloso, Gina, M1 aGuirette, Melanie1 aImamura, Fumiaki1 aBartz, Traci, M1 aPitsillides, Achilleas, N1 aWang, Carol, A1 aLi-Gao, Ruifang1 aWestra, Jason, M1 aPitkänen, Niina1 aYoung, Kristin, L1 aGraff, Mariaelisa1 aWood, Alexis, C1 aBraun, Kim, V E1 aLuan, Jian'an1 aKähönen, Mika1 ade Jong, Jessica, C Kiefte-1 aGhanbari, Mohsen1 aTintle, Nathan1 aLemaitre, Rozenn, N1 aMook-Kanamori, Dennis, O1 aNorth, Kari1 aHelminen, Mika1 aMossavar-Rahmani, Yasmin1 aSnetselaar, Linda1 aMartin, Lisa, W1 aViikari, Jorma, S1 aOddy, Wendy, H1 aPennell, Craig, E1 aRosendall, Frits, R1 aIkram, Arfan, M1 aUitterlinden, André, G1 aPsaty, Bruce, M1 aMozaffarian, Dariush1 aRotter, Jerome, I1 aTaylor, Kent, D1 aLehtimäki, Terho1 aRaitakari, Olli, T1 aLivingston, Kara, A1 aVoortman, Trudy1 aForouhi, Nita, G1 aWareham, Nick, J1 ade Mutsert, Renée1 aRich, Steven, S1 aManson, JoAnn, E1 aMora, Samia1 aRidker, Paul, M1 aMerino, Jordi1 aMeigs, James, B1 aDashti, Hassan, S1 aChasman, Daniel, I1 aLichtenstein, Alice, H1 aSmith, Caren, E1 aDupuis, Josée1 aHerman, Mark, A1 aMcKeown, Nicola, M uhttps://chs-nhlbi.org/node/8830