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. Smoking-by-genotype interaction in type 2 diabetes risk and fasting glucose

Verified authors • Institutional access • DOI aware
50,000+ researchers120,000+ datasets90% satisfaction
Article
English
2020

Smoking-by-genotype interaction in type 2 diabetes risk and fasting glucose

0 Datasets

0 Files

English
2020
PLoS ONE
Vol 15 (5)
DOI: 10.1371/journal.pone.0230815

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
Peitao Wu
Denis Rybin
Lawrence F. Bielak
+55 more

Abstract

Smoking is a potentially causal behavioral risk factor for type 2 diabetes (T2D), but not all smokers develop T2D. It is unknown whether genetic factors partially explain this variation. We performed genome-environment-wide interaction studies to identify loci exhibiting potential interaction with baseline smoking status (ever vs. never) on incident T2D and fasting glucose (FG). Analyses were performed in participants of European (EA) and African ancestry (AA) separately. Discovery analyses were conducted using genotype data from the 50,000-single-nucleotide polymorphism (SNP) ITMAT-Broad-CARe (IBC) array in 5 cohorts from from the Candidate Gene Association Resource Consortium (n = 23,189). Replication was performed in up to 16 studies from the Cohorts for Heart Aging Research in Genomic Epidemiology Consortium (n = 74,584). In meta-analysis of discovery and replication estimates, 5 SNPs met at least one criterion for potential interaction with smoking on incident T2D at p<1x10-7 (adjusted for multiple hypothesis-testing with the IBC array). Two SNPs had significant joint effects in the overall model and significant main effects only in one smoking stratum: rs140637 (FBN1) in AA individuals had a significant main effect only among smokers, and rs1444261 (closest gene C2orf63) in EA individuals had a significant main effect only among nonsmokers. Three additional SNPs were identified as having potential interaction by exhibiting a significant main effects only in smokers: rs1801232 (CUBN) in AA individuals, rs12243326 (TCF7L2) in EA individuals, and rs4132670 (TCF7L2) in EA individuals. No SNP met significance for potential interaction with smoking on baseline FG. The identification of these loci provides evidence for genetic interactions with smoking exposure that may explain some of the heterogeneity in the association between smoking and T2D.

How to cite this publication

Peitao Wu, Denis Rybin, Lawrence F. Bielak, Mary F. Feitosa, Nora Franceschini, Yize Li, Yingchang Lu, Jonathan Marten, Solomon K. Musani, Raymond Noordam, Sridharan Raghavan, Lynda M. Rose, Karen Schwander, Albert V. Smith, Salman M. Tajuddin, Dina Vojinović, Najaf Amin, Donna K. Arnett, Erwin P. Böttinger, Ayşe Demirkan, José C. Florez, Mohsen Ghanbari, Tamara B. Harris, Lenore J. Launer, Jingmin Liu, Jun Liu, Dennis O. Mook‐Kanamori, Alison D. Murray, Mike A. Nalls, Patricia A. Peyser, André G. Uitterlinden, Trudy Voortman, Claude Bouchard, Daniel I. Chasman, Adolfo Correa, Renée de Mutsert, Michele K. Evans, Vilmundur Guðnason, Caroline Hayward, Linda Kao, Sharon L. R. Kardia, Charles Kooperberg, Ruth J. F. Loos, Michael Province, Tuomo Rankinen, Susan Redline, Paul M. Ridker, Jerome I. Rotter, David S. Siscovick, Blair H. Smith, Cornelia M. van Duijn, Alan B. Zonderman, D. C. Rao, James G. Wilson, Josée Dupuis, James B. Meigs, Yongmei Liu, Jason L. Vassy (2020). Smoking-by-genotype interaction in type 2 diabetes risk and fasting glucose. PLoS ONE, 15(5), pp. e0230815-e0230815, DOI: 10.1371/journal.pone.0230815.

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

2020

Authors

58

Datasets

0

Total Files

0

Language

English

Journal

PLoS ONE

DOI

10.1371/journal.pone.0230815

Join Research Community

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

Get Free Access