Molecular PsychiatryGeneticsPeer-reviewed journal article
Genomic analysis of diet composition finds novel loci and associations with health and lifestyle
S. Fleur W. MeddensiD, Ronald de VlamingiD, Peter Bowers, Casper A.P. BurikiD, Richard Karlsson LinnériD, Chan Wook LeeiD, Aysu OkbayiD, Patrick TurleyiD, Cornelius A. RietveldiD, Mark Alan Fontana, Mohsen GhanbariiD, Fumiaki ImamuraiD, George McMahon, Peter J. van der MostiD, Trudy VoortmaniD, Kaitlin Hazel WadeiD, Emma Louise AndersoniD, Kim V.E. BrauniD, Pauline M. EmmettiD, Tõnu EskoiD, Juan R. GonzáleziD, Jessica C. Kiefte–de JongiD, Claudia LangenbergiD, Jian’an LuaniD, Taulant MukaiD, , Philipp KoellingeriD
Abstract
We conducted genome-wide association study (GWAS) meta-analyses of relative caloric intake from fat, protein, carbohydrates and sugar in over 235,000 individuals. We identified 21 approximately independent lead SNPs. Relative protein intake exhibits the strongest relationships with poor health, including positive genetic associations with obesity, type 2 diabetes, and heart disease (rg {approx} 0.15 - 0.5). Relative carbohydrate and sugar intake have negative genetic correlations with waist circumference, waist-hip ratio, and neighborhood poverty (|rg| {approx} 0.1 - 0.3). Overall, our results show that the relative intake of each macronutrient has a distinct genetic architecture and pattern of genetic correlations suggestive of health implications beyond caloric content.
- organism: human
- assay: GWAS summary statistics
- research focus: GWAS / association mapping
- approach: statistical model
- Citations
- 159
- FWCI
- 11.56
- Field percentile
- top 1%
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