4.7 Article

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

期刊

AMERICAN JOURNAL OF CLINICAL NUTRITION
卷 97, 期 6, 页码 1395-1402

出版社

OXFORD UNIV PRESS
DOI: 10.3945/ajcn.112.052183

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资金

  1. National Institutes of Health
  2. NIH Roadmap for Medical Research
  3. National Institute of Diabetes and Digestive and Kidney Diseases
  4. National Heart, Lung, and Blood Institute
  5. National Human Genome Research Institute
  6. National Institute of Neurological Disorders and Stroke
  7. National Institute on Aging
  8. National Center of Advancing Translational Technologies
  9. US Department of Agriculture
  10. Medical Research Council UK
  11. Wellcome Trust
  12. Italian Ministry of Health
  13. Netherlands Organisation of Scientific Research NWO Investments
  14. Research Institute for Diseases in the Elderly (RIDE2) [014-93-015]
  15. Netherlands Genomics Initiative (NGI)/Netherlands Consortium for Healthy Aging (NCHA), Rotterdam
  16. Netherlands Organization for the Health Research and Development
  17. Research Institute for Diseases in the Elderly (RIDE)
  18. Ministry of Education, Culture, and Science
  19. Ministry for Health, Welfare, and Sports
  20. European Commission
  21. Municipality of Rotterdam
  22. Academy of Finland
  23. Social Insurance Institution of Finland
  24. Swedish Heart-Lung Foundation
  25. Swedish Diabetes Association
  26. Swedish Research Council
  27. City of Malmo
  28. Pahlsson Foundation
  29. Affymetrix Inc
  30. Robert Dawson Evans Endowment
  31. Doris Duke Charitable Foundation
  32. Centre de Recherche Medicale de l'Universite de Sherbrooke (CRMUS)
  33. Canadian Institute of Health Research (CHIR)
  34. Erasmus Medical Center
  35. Erasmus University
  36. Kuopio University Hospital
  37. Tampere University Hospital
  38. Turku University Hospital
  39. Juho Vainio Foundation
  40. Paavo Nurmi Foundation
  41. Finnish Foundation of Cardiovascular Research
  42. Finnish Cultural Foundation
  43. Tampere Tuberculosis Foundation
  44. Emil Aaltonen Foundation
  45. Novo Nordisk
  46. Umea University
  47. Heart Foundation of Northern Sweden, Region Shine
  48. Cancer Research UK
  49. Cancer Research UK [14136] Funding Source: researchfish
  50. Medical Research Council [G1000143, MC_UU_12015/1, MC_UP_A100_1003, MC_U106188470, MC_U106179471, MC_UU_12015/5, G0401527] Funding Source: researchfish
  51. MRC [MC_UU_12015/1, MC_UU_12015/5, MC_U106188470, MC_UP_A100_1003] Funding Source: UKRI

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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 x 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 (beta +/- SE: 0.25 +/- 0.04%; P = 1.68 x 10(-8)) and lower fat (beta = SE: -0.21 +/- 0.04%; P = 1.57 x 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 (beta +/- SE: 0.10 +/- 0.02%; P = 9.96 x 10(-10)), independent of BMI (after adjustment for BMI, beta +/- SE: 0.08 +/- 0.02%; P = 3.15 x 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).

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