Genomic analysis of diet composition finds novel loci and associations with health and lifestyle
S Fleur W Meddens,
Ronald de Vlaming,
Casper AP Burik,
Richard Karlsson Linnér,
Cornelius A. Rietveld,
Mark Alan Fontana,
Peter J van der Most,
Emma L Anderson,
Kim VE Braun,
Pauline M Emmett,
Juan R Gonzalez,
Jessica C Kiefte-de Jong,
Josje D Schoufour,
Frank JA van Rooij,
Bruce HR Wolffenbuttel,
23andMe Research Team, EPIC-InterAct Consortium, Lifelines Cohort Study,
George Davey Smith,
Oscar H Franco,
Nita G Forouhi,
M. Arfan Ikram,
Andre G Uitterlinden,
Jana V van Vliet-Ostaptchouk,
Nick J Wareham,
K. Paige Harden,
James J Lee,
Daniel J Benjamin,
Carson C. Chow,
Philipp D. Koellinger
Posted 02 Aug 2018
bioRxiv DOI: 10.1101/383406 (published DOI: 10.1038/s41380-020-0697-5)
Posted 02 Aug 2018
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 ≈ 0.15-0.5). Relative carbohydrate and sugar intake have negative genetic correlations with waist circumference, waist-hip ratio, and neighborhood poverty (|rg| ≈ 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.
- Downloaded 1,636 times
- Download rankings, all-time:
- Site-wide: 5,122 out of 89,651
- In genetics: 378 out of 4,629
- Year to date:
- Site-wide: 11,447 out of 89,651
- Since beginning of last month:
- Site-wide: 44,320 out of 89,651
Downloads over time
Distribution of downloads per paper, site-wide
- 18 Dec 2019: We're pleased to announce PanLingua, a new tool that enables you to search for machine-translated bioRxiv preprints using more than 100 different languages.
- 21 May 2019: PLOS Biology has published a community page about Rxivist.org and its design.
- 10 May 2019: The paper analyzing the Rxivist dataset has been published at eLife.
- 1 Mar 2019: We now have summary statistics about bioRxiv downloads and submissions.
- 8 Feb 2019: Data from Altmetric is now available on the Rxivist details page for every preprint. Look for the "donut" under the download metrics.
- 30 Jan 2019: preLights has featured the Rxivist preprint and written about our findings.
- 22 Jan 2019: Nature just published an article about Rxivist and our data.
- 13 Jan 2019: The Rxivist preprint is live!