RDL logo
About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User Guide
​
​
Sign inGet started
​
​

About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User Guide

Sign inGet started
RDL logo

Verified research datasets. Instant access. Built for collaboration.

Navigation

About

Aims and Scope

Advisory Board Members

More

Who We Are?

Add Raw Data

User Guide

Legal

Privacy Policy

Terms of Service

Support

Got an issue? Email us directly.

Email: info@rawdatalibrary.netOpen Mail App
​
​

© 2025 Raw Data Library. All rights reserved.
PrivacyTerms
  1. Raw Data Library
  2. /
  3. Publications
  4. /
  5. Genome-wide meta-analysis of macronutrient intake of 91,114 European ancestry participants from the cohorts for heart and aging research in genomic epidemiology consortium

Verified authors • Institutional access • DOI aware
50,000+ researchers120,000+ datasets90% satisfaction
Article
English
2019

Genome-wide meta-analysis of macronutrient intake of 91,114 European ancestry participants from the cohorts for heart and aging research in genomic epidemiology consortium

0 Datasets

0 Files

English
2019
Carolina Digital Repository (University of North Carolina at Chapel Hill)
DOI: 10.17615/k873-hx84

Get instant academic access to this publication’s datasets.

Create free accountHow it works

Frequently asked questions

Is access really free for academics and students?

Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.

How is my data protected?

Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.

Can I request additional materials?

Yes, message the author after sign-up to request supplementary files or replication code.

Advance your research today

Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.

Get free academic accessLearn more
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaboration
Access Research Data

Join our academic network to download verified datasets and collaborate with researchers worldwide.

Get Free Access
Institutional SSO
Secure
This PDF is not available in different languages.
No localized PDFs are currently available.
Claude Bouchard
Claude Bouchard

Pennington Biomedical Research Center

Verified
José G. Merino
Hassan S. Dashti
S.X. Li
+97 more

Abstract

Macronutrient intake, the proportion of calories consumed from carbohydrate, fat, and protein, is an important risk factor for metabolic diseases with significant familial aggregation. Previous studies have identified two genetic loci for macronutrient intake, but incomplete coverage of genetic variation and modest sample sizes have hindered the discovery of additional loci. Here, we expanded the genetic landscape of macronutrient intake, identifying 12 suggestively significant loci (P < 1 × 10−6) associated with intake of any macronutrient in 91,114 European ancestry participants. Four loci replicated and reached genome-wide significance in a combined meta-analysis including 123,659 European descent participants, unraveling two novel loci; a common variant in RARB locus for carbohydrate intake and a rare variant in DRAM1 locus for protein intake, and corroborating earlier FGF21 and FTO findings. In additional analysis of 144,770 participants from the UK Biobank, all identified associations from the two-stage analysis were confirmed except for DRAM1. Identified loci might have implications in brain and adipose tissue biology and have clinical impact in obesity-related phenotypes. Our findings provide new insight into biological functions related to macronutrient intake.

How to cite this publication

José G. Merino, Hassan S. Dashti, S.X. Li, Chloé Sarnowski, Anne E. Justice, M. Graff, Constantina Papoutsakis, Caren E. Smith, George Dedoussis, Rozenn N. Lemaître, M.K. Wojczynski, S. Männistö, J.S. Ngwa, Minjung Kho, Tarunveer S. Ahluwalia, Natalia Pervjakova, Denise K. Houston, Claude Bouchard, Tao Huang, M. Orho-Melander, Alexis C. Wood, D.O. Mook-Kanamori, Louis Pérusse, C.E. Pennell, P.S. de Vries, Trudy Voortman, Li Ou, Stavroula Kanoni, L.M. Rose, T. Lehtimäki, Junsheng Zhao, M.F. Feitosa, Jia Luan, Nicola M. McKeown, J.A. Smith, T. Hansen, Niina Eklund, Michael A. Nalls, T. Rankinen, Jia Huang, D.G. Hernandez, C.-A. Schulz, A. Manichaikul, R. Li-Gao, Marie‐Claude Vohl, C.A. Wang, Frank J.A. van Rooij, Jean Shin, Ioanna Panagiota Kalafati, Felix R. Day, P.M. Ridker, M. Kähönen, David S. Siscovick, C. Langenberg, Wanting Zhao, Arne Astrup, Paul Knekt, Melissa Garcia, D. C. Rao, Q. Qi, L. Ferrucci, Ulrika Ericson, J. Blangero, A. Hofman, Zdenka Pausová, Vera Mikkilä, N.J. Wareham, S.L.R. Kardia, O. Pedersen, Antti Jula, Joanne E. Curran, M. Carola Zillikens, Jorma Viikari, Nita G. Forouhi, José M. Ordovás, John C. Lieske, Harri Rissanen, André G. Uitterlinden, O. T. Raitakari, Jessica C. Kiefte‐de Jong, Josée Dupuis, J.I. Rotter, K.E. North, Robert A. Scott, M.A. Province, Markus Perola, L. Adrienne Cupples, S.T. Turner, Thorkild I. A. Sørensen, V. Salomaa, Y. Liu, Yongjun Sung, Lu Qi, Stefania Bandinelli, Stephen S. Rich, R. de Mutsert, Angelo Tremblay, Wendy H. Oddy, O.H. Franco, Tomáš Paus (2019). Genome-wide meta-analysis of macronutrient intake of 91,114 European ancestry participants from the cohorts for heart and aging research in genomic epidemiology consortium. Carolina Digital Repository (University of North Carolina at Chapel Hill), DOI: 10.17615/k873-hx84.

Related publications

Why join Raw Data Library?

Quality

Datasets shared by verified academics with rich metadata and previews.

Control

Authors choose access levels; downloads are logged for transparency.

Free for Academia

Students and faculty get instant access after verification.

Publication Details

Type

Article

Year

2019

Authors

100

Datasets

0

Total Files

0

Language

English

Journal

Carolina Digital Repository (University of North Carolina at Chapel Hill)

DOI

10.17615/k873-hx84

Join Research Community

Access datasets from 50,000+ researchers worldwide with institutional verification.

Get Free Access