Raw Data Library
About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User Guide
Green Science
​
​
EN
Sign inGet started
​
​

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

Language

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. Quality of dietary fat and genetic risk of type 2 diabetes: individual participant data meta-analysis

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

Quality of dietary fat and genetic risk of type 2 diabetes: individual participant data meta-analysis

0 Datasets

0 Files

en
2019
Vol 366
Vol. 366
DOI: 10.1136/bmj.l4292

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.
Frank B Hu
Frank B Hu

Harvard University

Verified
Jordi Merino
Marta Guasch‐Ferré
Christina Ellervik
+65 more

Abstract

Abstract Objective To investigate whether the genetic burden of type 2 diabetes modifies the association between the quality of dietary fat and the incidence of type 2 diabetes. Design Individual participant data meta-analysis. Data sources Eligible prospective cohort studies were systematically sourced from studies published between January 1970 and February 2017 through electronic searches in major medical databases (Medline, Embase, and Scopus) and discussion with investigators. Review methods Data from cohort studies or multicohort consortia with available genome-wide genetic data and information about the quality of dietary fat and the incidence of type 2 diabetes in participants of European descent was sought. Prospective cohorts that had accrued five or more years of follow-up were included. The type 2 diabetes genetic risk profile was characterized by a 68-variant polygenic risk score weighted by published effect sizes. Diet was recorded by using validated cohort-specific dietary assessment tools. Outcome measures were summary adjusted hazard ratios of incident type 2 diabetes for polygenic risk score, isocaloric replacement of carbohydrate (refined starch and sugars) with types of fat, and the interaction of types of fat with polygenic risk score. Results Of 102 305 participants from 15 prospective cohort studies, 20 015 type 2 diabetes cases were documented after a median follow-up of 12 years (interquartile range 9.4-14.2). The hazard ratio of type 2 diabetes per increment of 10 risk alleles in the polygenic risk score was 1.64 (95% confidence interval 1.54 to 1.75, I 2 =7.1%, τ 2 =0.003). The increase of polyunsaturated fat and total omega 6 polyunsaturated fat intake in place of carbohydrate was associated with a lower risk of type 2 diabetes, with hazard ratios of 0.90 (0.82 to 0.98, I 2 =18.0%, τ 2 =0.006; per 5% of energy) and 0.99 (0.97 to 1.00, I 2 =58.8%, τ 2 =0.001; per increment of 1 g/d), respectively. Increasing monounsaturated fat in place of carbohydrate was associated with a higher risk of type 2 diabetes (hazard ratio 1.10, 95% confidence interval 1.01 to 1.19, I 2 =25.9%, τ 2 =0.006; per 5% of energy). Evidence of small study effects was detected for the overall association of polyunsaturated fat with the risk of type 2 diabetes, but not for the omega 6 polyunsaturated fat and monounsaturated fat associations. Significant interactions between dietary fat and polygenic risk score on the risk of type 2 diabetes (P>0.05 for interaction) were not observed. Conclusions These data indicate that genetic burden and the quality of dietary fat are each associated with the incidence of type 2 diabetes. The findings do not support tailoring recommendations on the quality of dietary fat to individual type 2 diabetes genetic risk profiles for the primary prevention of type 2 diabetes, and suggest that dietary fat is associated with the risk of type 2 diabetes across the spectrum of type 2 diabetes genetic risk.

How to cite this publication

Jordi Merino, Marta Guasch‐Ferré, Christina Ellervik, Hassan S. Dashti, Stephen J. Sharp, Peitao Wu, Kim Overvad, Chloé Sarnowski, Mikko Kuokkanen, Rozenn N. Lemaître, Anne E. Justice, Ulrika Ericson, Kim V.E. Braun, Yuvaraj Mahendran, Alexis C. Wood, Dianjianyi Sun, Audrey Y. Chu, Toshiko Tanaka, Jian’an Luan, Jaeyoung Hong, Anne Tjønneland, Ming Ding, Annamari Lundqvist, Kenneth J. Mukamal, Rebecca Rohde, Christina‐Alexandra Schulz, Oscar H. Franco, Niels Grarup, Yii‐Der Ida Chen, Lydia Bazzano, Paul W. Franks, Julie E. Buring, Claudia Langenberg, Yongmei Liu, Torben Hansen, Majken K. Jensen, Katri Sääksjärvi, Bruce M. Psaty, Kristin L. Young, George Hindy, Camilla H. Sandholt, Paul M. Ridker, José M. Ordovás, James B. Meigs, Oluf Pedersen, Peter Kraft, Markus Perola, Kari E. North, Marju Orho‐Melander, Trudy Voortman, Ulla Toft, Jerome I. Rotter, Lu Qi, Nita G. Forouhi, Dariush Mozaffarian, Thorkild I. A. Sørensen, Meir J. Stampfer, Satu Männistö, Elizabeth Selvin, Fumiaki Imamura, Veikko Salomaa, Frank B Hu, Nicholas J. Wareham, Josée Dupuis, Caren E. Smith, Tuomas O. Kilpeläinen, Daniel I. Chasman, José C. Florez (2019). Quality of dietary fat and genetic risk of type 2 diabetes: individual participant data meta-analysis. , 366, DOI: https://doi.org/10.1136/bmj.l4292.

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

68

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1136/bmj.l4292

Join Research Community

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

Get Free Access