Genomic analysis of diet composition finds novel loci and associations with health and lifestyle

Meddens, S.F.W.; Vlaming, R. de; Bowers, P.; Burik, C.A.P.; Linner, R.K.; Lee, C.; Okbay, A.; Turley, P.; Rietveld, C.A.; Fontana, M.A.; Ghanbari, M.; Imamura, F.; McMahon, G.; Most, P.J. van der; Voortman, T.; Wade, K.H.; Anderson, E.L.; Braun, K.V.E.; Emmett, P.M.; Esko, T.; Gonzalez, J.R.; Kiefte-de Jong, J.C.; Langenberg, C.; Luan, J.; Muka, T.; Ring, S.; Rivadeneira, F.; Snieder, H.; Rooij, F.J.A. van; Wolffenbuttel, B.H.R.; Smith, G.D.; Franco, O.H.; Forouhi, N.G.; Ikram, M.A.; Uitterlinden, A.G.; Vliet-Ostaptchouk, J.V. van; Wareham, N.J.; Cesarini, D.; Harden, K.P.; Lee, J.J.; Benjamin, D.J.; Chow, C.C.; Koellinger, P.D.; 23andMe Res Team; EPIC-InterAct Consortium; Lifelines Cohort Study

doi:doi:10.1038/s41380-020-0697-5

We conducted genome-wide association studies (GWAS) of relative intake from the macronutrients fat, protein, carbohydrates, and sugar in over 235,000 individuals of European ancestries. We identified 21 unique, approximately independent lead SNPs. Fourteen lead SNPs are uniquely associated with one macronutrient at genome-wide significance (P < 5 x 10(-8)), while five of the 21 lead SNPs reach suggestive significance (P < 1 x 10(-5)) for at least one other macronutrient. While the phenotypes are genetically correlated, each phenotype carries a partially unique genetic architecture. Relative protein intake exhibits the strongest relationships with poor health, including positive genetic associations with obesity, type 2 diabetes, and heart disease (r(g) approximate to 0.15-0.5). In contrast, relative carbohydrate and sugar intake have negative genetic correlations with waist circumference, waist-hip ratio, and neighborhood deprivation (|r(g)| approximate to 0.1-0.3) and positive...Show moreWe conducted genome-wide association studies (GWAS) of relative intake from the macronutrients fat, protein, carbohydrates, and sugar in over 235,000 individuals of European ancestries. We identified 21 unique, approximately independent lead SNPs. Fourteen lead SNPs are uniquely associated with one macronutrient at genome-wide significance (P < 5 x 10(-8)), while five of the 21 lead SNPs reach suggestive significance (P < 1 x 10(-5)) for at least one other macronutrient. While the phenotypes are genetically correlated, each phenotype carries a partially unique genetic architecture. Relative protein intake exhibits the strongest relationships with poor health, including positive genetic associations with obesity, type 2 diabetes, and heart disease (r(g) approximate to 0.15-0.5). In contrast, relative carbohydrate and sugar intake have negative genetic correlations with waist circumference, waist-hip ratio, and neighborhood deprivation (|r(g)| approximate to 0.1-0.3) and positive genetic correlations with physical activity (r(g) approximate to 0.1 and 0.2). Relative fat intake has no consistent pattern of genetic correlations with poor health but has a negative genetic correlation with educational attainment (r(g) approximate to-0.1). Although our analyses do not allow us to draw causal conclusions, we find no evidence of negative health consequences associated with relative carbohydrate, sugar, or fat intake. However, our results are consistent with the hypothesis that relative protein intake plays a role in the etiology of metabolic dysfunction.Show less

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Genomic analysis of diet composition finds novel loci and associations with health and lifestyle