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Genome-wide meta-analysis of observational studies shows common genetic variants associated with macronutrient intake.

TitleGenome-wide meta-analysis of observational studies shows common genetic variants associated with macronutrient intake.
Publication TypeJournal Article
Year of Publication2013
AuthorsTanaka, T, Ngwa, JS, van Rooij, FJA, Zillikens, CM, Wojczynski, MK, Frazier-Wood, AC, Houston, DK, Kanoni, S, Lemaitre, RN, Luan, J'an, Mikkilä, V, Renstrom, F, Sonestedt, E, Zhao, JH, Chu, AY, Qi, L, Chasman, DI, Otto, MC de Olive, Dhurandhar, EJ, Feitosa, MF, Johansson, I, Khaw, K-T, Lohman, KK, Manichaikul, A, McKeown, NM, Mozaffarian, D, Singleton, A, Stirrups, K, Viikari, J, Ye, Z, Bandinelli, S, Barroso, I, Deloukas, P, Forouhi, NG, Hofman, A, Liu, Y, Lyytikäinen, L-P, North, KE, Dimitriou, M, Hallmans, G, Kähönen, M, Langenberg, C, Ordovas, JM, Uitterlinden, AG, Hu, FB, Kalafati, I-P, Raitakari, O, Franco, OH, Johnson, A, Emilsson, V, Schrack, JA, Semba, RD, Siscovick, DS, Arnett, DK, Borecki, IB, Franks, PW, Kritchevsky, SB, Lehtimäki, T, Loos, RJF, Orho-Melander, M, Rotter, JI, Wareham, NJ, Witteman, JCM, Ferrucci, L, Dedoussis, G, Cupples, AL, Nettleton, JA
JournalAm J Clin Nutr
Volume97
Issue6
Pagination1395-402
Date Published2013 Jun
ISSN1938-3207
KeywordsAlleles, Atherosclerosis, Body Mass Index, Dietary Carbohydrates, Dietary Fats, Dietary Proteins, Energy Intake, European Continental Ancestry Group, Fibroblast Growth Factors, Follow-Up Studies, Gene-Environment Interaction, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Life Style, Obesity, Polymorphism, Single Nucleotide, Prospective Studies, Quantitative Trait Loci, Surveys and Questionnaires
Abstract<p><b>BACKGROUND: </b>Macronutrient intake varies substantially between individuals, and there is evidence that this variation is partly accounted for by genetic variants.</p><p><b>OBJECTIVE: </b>The objective of the study was to identify common genetic variants that are associated with macronutrient intake.</p><p><b>DESIGN: </b>We performed 2-stage genome-wide association (GWA) meta-analysis of macronutrient intake in populations of European descent. Macronutrients were assessed by using food-frequency questionnaires and analyzed as percentages of total energy consumption from total fat, protein, and carbohydrate. From the discovery GWA (n = 38,360), 35 independent loci associated with macronutrient intake at P < 5 × 10(-6) were identified and taken forward to replication in 3 additional cohorts (n = 33,533) from the DietGen Consortium. For one locus, fat mass obesity-associated protein (FTO), cohorts with Illumina MetaboChip genotype data (n = 7724) provided additional replication data.</p><p><b>RESULTS: </b>A variant in the chromosome 19 locus (rs838145) was associated with higher carbohydrate (β ± SE: 0.25 ± 0.04%; P = 1.68 × 10(-8)) and lower fat (β ± SE: -0.21 ± 0.04%; P = 1.57 × 10(-9)) consumption. A candidate gene in this region, fibroblast growth factor 21 (FGF21), encodes a fibroblast growth factor involved in glucose and lipid metabolism. The variants in this locus were associated with circulating FGF21 protein concentrations (P < 0.05) but not mRNA concentrations in blood or brain. The body mass index (BMI)-increasing allele of the FTO variant (rs1421085) was associated with higher protein intake (β ± SE: 0.10 ± 0.02%; P = 9.96 × 10(-10)), independent of BMI (after adjustment for BMI, β ± SE: 0.08 ± 0.02%; P = 3.15 × 10(-7)).</p><p><b>CONCLUSION: </b>Our results indicate that variants in genes involved in nutrient metabolism and obesity are associated with macronutrient consumption in humans. Trials related to this study were registered at clinicaltrials.gov as NCT00005131 (Atherosclerosis Risk in Communities), NCT00005133 (Cardiovascular Health Study), NCT00005136 (Family Heart Study), NCT00005121 (Framingham Heart Study), NCT00083369 (Genetic and Environmental Determinants of Triglycerides), NCT01331512 (InCHIANTI Study), and NCT00005487 (Multi-Ethnic Study of Atherosclerosis).</p>
DOI10.3945/ajcn.112.052183
Alternate JournalAm. J. Clin. Nutr.
PubMed ID23636237
PubMed Central IDPMC3652928
Grant ListR01 AG027012 / AG / NIA NIH HHS / United States
MC_UP_A100_1003 / / Medical Research Council / United Kingdom
R01 HL091357 / HL / NHLBI NIH HHS / United States
/ / Medical Research Council / United Kingdom
T32 HL007575 / HL / NHLBI NIH HHS / United States
R01 DK091718 / DK / NIDDK NIH HHS / United States
G1000143 / / Medical Research Council / United Kingdom
UL1 TR000124 / TR / NCATS NIH HHS / United States
R01 HL105756 / HL / NHLBI NIH HHS / United States
MC_U106179471 / / Medical Research Council / United Kingdom
P30 DK063491 / DK / NIDDK NIH HHS / United States
U01 HL072524 / HL / NHLBI NIH HHS / United States
/ / Canadian Institutes of Health Research / Canada
14136 / / Cancer Research UK / United Kingdom
/ / Cancer Research UK / United Kingdom
G0401527 / / Medical Research Council / United Kingdom
MC_UU_12015/5 / / Medical Research Council / United Kingdom
MC_U106188470 / / Medical Research Council / United Kingdom
R01 HL087700 / HL / NHLBI NIH HHS / United States
/ / Wellcome Trust / United Kingdom