Dataset Information

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

ABSTRACT:

Background

Macronutrient intake varies substantially between individuals, and there is evidence that this variation is partly accounted for by genetic variants.

Objective

The objective of the study was to identify common genetic variants that are associated with macronutrient intake.

Design

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.

Results

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)).

Conclusion

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).

SUBMITTER: Tanaka T

PROVIDER: S-EPMC3652928 | biostudies-literature | 2013 Jun

REPOSITORIES: biostudies-literature

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Publications

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

Tanaka Toshiko T Ngwa Julius S JS van Rooij Frank J A FJ Zillikens M Carola MC Wojczynski Mary K MK Frazier-Wood Alexis C AC Houston Denise K DK Kanoni Stavroula S Lemaitre Rozenn N RN Luan Jian'an J Mikkilä Vera V Renstrom Frida F Sonestedt Emily E Zhao Jing Hua JH Chu Audrey Y AY Qi Lu L Chasman Daniel I DI de Oliveira Otto Marcia C MC Dhurandhar Emily J EJ Feitosa Mary F MF Johansson Ingegerd I Khaw Kay-Tee KT Lohman Kurt K KK Manichaikul Ani A McKeown Nicola M NM Mozaffarian Dariush D Singleton Andrew A Stirrups Kathleen K Viikari Jorma J Ye Zheng Z Bandinelli Stefania S Barroso Inês I Deloukas Panos P Forouhi Nita G NG Hofman Albert A Liu Yongmei Y Lyytikäinen Leo-Pekka LP North Kari E KE Dimitriou Maria M Hallmans Goran G Kähönen Mika M Langenberg Claudia C Ordovas Jose M JM Uitterlinden André G AG Hu Frank B FB Kalafati Ioanna-Panagiota IP Raitakari Olli O Franco Oscar H OH Johnson Andrew A Emilsson Valur V Schrack Jennifer A JA Semba Richard D RD Siscovick David S DS Arnett Donna K DK Borecki Ingrid B IB Franks Paul W PW Kritchevsky Stephen B SB Lehtimäki Terho T Loos Ruth J F RJ Orho-Melander Marju M Rotter Jerome I JI Wareham Nicholas J NJ Witteman Jacqueline C M JC Ferrucci Luigi L Dedoussis George G Cupples L Adrienne LA Nettleton Jennifer A JA

The American journal of clinical nutrition 20130501 6

<h4>Background</h4>Macronutrient intake varies substantially between individuals, and there is evidence that this variation is partly accounted for by genetic variants.<h4>Objective</h4>The objective of the study was to identify common genetic variants that are associated with macronutrient intake.<h4>Design</h4>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 question ...[more]

PMID: 23636237

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Dataset Information

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

Background

Objective

Design

Results

Conclusion

Publications

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

Similar Datasets

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