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

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

Language

Kurumsal Başvuru

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?

Contact

Add Raw Data

User Guide

Legal

Privacy Policy

Terms of Service

Support

Got an issue? Email us directly.

Email: info@rawdatalibrary.netOpen Mail App
​
​

© 2026 Raw Data Library. All rights reserved.
PrivacyTermsContact
  1. Raw Data Library
  2. /
  3. Publications
  4. /
  5. Genome-wide meta-analysis of 241,258 adults accounting for smoking behaviour identifies novel loci for obesity traits

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

Genome-wide meta-analysis of 241,258 adults accounting for smoking behaviour identifies novel loci for obesity traits

0 Datasets

0 Files

en
2020
DOI: 10.17615/55b7-9477digitalcommons.wustl.edu/open_access_pubs…

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.
Paul M Ridker
Paul M Ridker

Harvard University

Verified
Ken K. Ong
Blair H. Smith
Barbara McKnight
+97 more

Abstract

Few genome-wide association studies (GWAS) account for environmental exposures, like smoking, potentially impacting the overall trait variance when investigating the genetic contribution to obesity-related traits. Here, we use GWAS data from 51,080 current smokers and 190,178 nonsmokers (87% European descent) to identify loci influencing BMI and central adiposity, measured as waist circumference and waist-to-hip ratio both adjusted for BMI. We identify 23 novel genetic loci, and 9 loci with convincing evidence of gene-smoking interaction (GxSMK) on obesity-related traits. We show consistent direction of effect for all identified loci and significance for 18 novel and for 5 interaction loci in an independent study sample. These loci highlight novel biological functions, including response to oxidative stress, addictive behaviour, and regulatory functions emphasizing the importance of accounting for environment in genetic analyses. Our results suggest that tobacco smoking may alter the genetic susceptibility to overall adiposity and body fat distribution.

How to cite this publication

Ken K. Ong, Blair H. Smith, Barbara McKnight, Louis Pérusse, Hans J. Grabe, Pedro Marques‐Vidal, Jaspal S. Kooner, Nicholas J. Wareham, Andrew P. Morris, Tanja B. Grammer, Martina Chittani, Maija Hassinen, Stella Trompet, Markus Juonala, Charles Kooperberg, Annette Peters, Joseph C. Wu, Johanna Kuusisto, M. Carola Zillikens, Marcel Bruinenberg, Anna L. Eriksson, Ani Manichaikul, Caroline S. Fox, Harold Snieder, Llilda Barata, Henrik Vestergaard, Ozren Polašek, Ingrid B. Borecki, Nicholas G. Martin, Tarunveer S. Ahluwalia, Naveed Sattar, Dan Mellström, Paul W. Franks, Joel N. Hirschhorn, Heather M. Stringham, Mika Kivimäki, Paul M Ridker, Francesco Cucca, Audrey Y. Chu, Lynne J. Hocking, Oddgeir L. Holmen, Tanguy Corre, Reija Männikkö, J. Wouter Jukema, Jaakko Tuomilehto, Gerard Pasterkamp, Bruce H. R. Wolffenbuttel, Dena Hernández, Anthony James, Ian Ford, Iris M. Heid, Inês Barroso, Rajesh Rawal, Najaf Amin, Catharina A. Hartman, Bamidele O. Tayo, Karl Gertow, Neşe Direk, Mattias Lorentzon, Tõnu Esko, Joel Eriksson, Saima Afaq, Cornelia M. van Duijn, Mélanie Waldenberger, Beverley Balkau, Jian Ping Gong, Natalia Pervjakova, Kristin L. Young, Damiano Baldassarre, Loïc Yengo, Anne E. Justice, Jian’an Luan, Alexander Teumer, Bruna Gigante, Momoko Horikoshi, Lenore J. Launer, Harald Grallert, Julius S. Ngwa, Ying Wu, Anja Ludolph-Donislawski, Rao , Dorothée Thuillier, Frida Renström, Lucia A. Hindorff, Peter S. Chines, Stéphane Lobbens, Stavroula Kanoni, Martina Müller‐Nurasyid, John‐Olov Jansson, Pau Navarro, Eco J. C. de Geus, Lynda M. Rose, Kai Savonen, Unhee Lim, David J. Hunter, Cinzia Sarti, Lawrence F. Bielak, Rainer Rauramaa, John B. Whitfield, Nicholas D. Hastie (2020). Genome-wide meta-analysis of 241,258 adults accounting for smoking behaviour identifies novel loci for obesity traits. , DOI: https://doi.org/10.17615/55b7-9477.

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

100

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.17615/55b7-9477

Join Research Community

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

Get Free Access