TY - JOUR
T1 - Whole Blood DNA Methylation Signatures of Diet Are Associated With Cardiovascular Disease Risk Factors and All-Cause Mortality
AU - Ma, Jiantao
AU - Rebholz, Casey M.
AU - Braun, Kim V.E.
AU - Reynolds, Lindsay M.
AU - Aslibekyan, Stella
AU - Xia, Rui
AU - Biligowda, Niranjan G.
AU - Huan, Tianxiao
AU - Liu, Chunyu
AU - Mendelson, Michael M.
AU - Joehanes, Roby
AU - Hu, Emily A.
AU - Vitolins, Mara Z.
AU - Wood, Alexis C.
AU - Lohman, Kurt
AU - Ochoa-Rosales, Carolina
AU - Van Meurs, Joyce
AU - Uitterlinden, Andre
AU - Liu, Yongmei
AU - Elhadad, Mohamed A.
AU - Heier, Margit
AU - Waldenberger, Melanie
AU - Peters, Annette
AU - Colicino, Elena
AU - Whitsel, Eric A.
AU - Baldassari, Antoine
AU - Gharib, Sina A.
AU - Sotoodehnia, Nona
AU - Brody, Jennifer A.
AU - Sitlani, Colleen M.
AU - Tanaka, Toshiko
AU - Hill, W. David
AU - Corley, Janie
AU - Deary, Ian J.
AU - Zhang, Yan
AU - Schöttker, Ben
AU - Brenner, Hermann
AU - Walker, Maura E.
AU - Ye, Shumao
AU - Nguyen, Steve
AU - Pankow, Jim
AU - Demerath, Ellen W.
AU - Zheng, Yinan
AU - Hou, Lifang
AU - Liang, Liming
AU - Lichtenstein, Alice H.
AU - Hu, Frank B.
AU - Fornage, Myriam
AU - Voortman, Trudy
AU - Levy, Daniel
N1 - Publisher Copyright:
© 2020 Lippincott Williams and Wilkins. All rights reserved.
PY - 2020/8/1
Y1 - 2020/8/1
N2 - 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 P<1.6×10-3). Hypermethylation of cg18181703 (SOCS3) was associated with higher scores of both Mediterranean-style diet score and Alternative Healthy Eating Index and lower risk for all-cause mortality (P=5.7×10-15). Ten additional diet-associated CpGs were nominally associated with all-cause mortality (P<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 P<4.5×10-4). For example, hypermethylation of cg11250194 (FADS2) was associated with lower triglyceride concentrations (MR, P=1.5×10-14).and hypermethylation of cg02079413 (SNORA54; NAP1L4) was associated with body mass index (corrected MR, P=1×10-6). 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.
AB - 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 P<1.6×10-3). Hypermethylation of cg18181703 (SOCS3) was associated with higher scores of both Mediterranean-style diet score and Alternative Healthy Eating Index and lower risk for all-cause mortality (P=5.7×10-15). Ten additional diet-associated CpGs were nominally associated with all-cause mortality (P<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 P<4.5×10-4). For example, hypermethylation of cg11250194 (FADS2) was associated with lower triglyceride concentrations (MR, P=1.5×10-14).and hypermethylation of cg02079413 (SNORA54; NAP1L4) was associated with body mass index (corrected MR, P=1×10-6). 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.
KW - DNA methylation
KW - cardiovascular disease
KW - diet
KW - epigenome
KW - triglycerides
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U2 - 10.1161/CIRCGEN.119.002766
DO - 10.1161/CIRCGEN.119.002766
M3 - Article
C2 - 32525743
AN - SCOPUS:85089768397
SN - 2574-8300
VL - 13
SP - E002766
JO - Circulation: Genomic and Precision Medicine
JF - Circulation: Genomic and Precision Medicine
IS - 4
ER -