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. Assessment of gene-by-sex interaction effect on bone mineral density

Verified authors • Institutional access • DOI aware
50,000+ researchers120,000+ datasets90% satisfaction
Article
en
2012

Assessment of gene-by-sex interaction effect on bone mineral density

0 Datasets

0 Files

en
2012
Vol 27 (10)
Vol. 27
DOI: 10.1002/jbmr.1679

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.
John P A Ioannidis
John P A Ioannidis

Stanford University

Verified
Yongmei Liu
Karol Estrada
Laura M. Yerges-Armstrong
+87 more

Abstract

Abstract Sexual dimorphism in various bone phenotypes, including bone mineral density (BMD), is widely observed; however, the extent to which genes explain these sex differences is unclear. To identify variants with different effects by sex, we examined gene-by-sex autosomal interactions genome-wide, and performed expression quantitative trait loci (eQTL) analysis and bioinformatics network analysis. We conducted an autosomal genome-wide meta-analysis of gene-by-sex interaction on lumbar spine (LS) and femoral neck (FN) BMD in 25,353 individuals from 8 cohorts. In a second stage, we followed up the 12 top single-nucleotide polymorphisms (SNPs; p < 1 × 10−5) in an additional set of 24,763 individuals. Gene-by-sex interaction and sex-specific effects were examined in these 12 SNPs. We detected one novel genome-wide significant interaction associated with LS-BMD at the Chr3p26.1-p25.1 locus, near the GRM7 gene (male effect = 0.02 and p = 3.0 × 10−5; female effect = −0.007 and p = 3.3 × 10−2), and 11 suggestive loci associated with either FN- or LS-BMD in discovery cohorts. However, there was no evidence for genome-wide significant (p < 5 × 10−8) gene-by-sex interaction in the joint analysis of discovery and replication cohorts. Despite the large collaborative effort, no genome-wide significant evidence for gene-by-sex interaction was found to influence BMD variation in this screen of autosomal markers. If they exist, gene-by-sex interactions for BMD probably have weak effects, accounting for less than 0.08% of the variation in these traits per implicated SNP. © 2012 American Society for Bone and Mineral Research.

How to cite this publication

Yongmei Liu, Karol Estrada, Laura M. Yerges-Armstrong, Najaf Amin, Εvangelos Εvangelou, Li Guo, Ryan L. Minster, Melanie A. Carless, Candace M. Kammerer, Ling Oei, Yanhua Zhou, Nerea Alonso, Zoe Dailiana, Joel Eriksson, Natàlia Garcia‐Giralt, Sylvie Giroux, Lise B. Husted, Р. И. Хусаинова, Theodora Koromila, Annie W.C. Kung, Joshua R. Lewis, Laura Masi, Simona Mencej-Bedrač, Xavier Nogués, Millan S. Patel, Janez Preželj, J. Brent Richards, Pak C. Sham, Timothy D. Spector, Liesbeth Vandenput, Su‐Mei Xiao, Hou‐Feng Zheng, Kun Zhu, Susana Balcells, Maria Luisa Brandi, Morten Frost, David Goltzman, Jesús González-Macı́as, Magnus K. Karlsson, Э. К. Хуснутдинова, Panagoula Κollia, Bente Langdahl, Östen Ljunggren, Mattias Lorentzon, Janja Marc, Dan Mellström, Claes Ohlsson, José M. Olmos, Stuart H. Ralston, José A. Riancho, François Rousseau, Roser Urreizti, Wim Van Hul, Marı́a T. Zarrabeitia, Martha C. Castaño‐Betancourt, Serkalem Demissie, Elin Grundberg, Lizbeth Herrera, Tony Kwan, Carolina Medina‐Gómez, Tomi Pastinen, Gunnar Sigurðsson, Guðmar Þorleifsson, Joyce BJ vanMeurs, John Blangero, Albert Hofman, Yongmei Liu, Braxton D. Mitchell, Jeffrey R. O’Connell, Ben A. Oostra, Jerome I. Rotter, Kāri Stefánsson, Elizabeth A. Streeten, Unnur Styrkársdóttir, Unnur Þorsteinsdóttir, Frances A. Tylavsky, André G. Uitterlinden, Jane A. Cauley, Tamara B. Harris, John P A Ioannidis, Bruce M. Psaty, John A. Robbins, M. Carola Zillikens, C.M. vanDuijn, Richard L. Prince, David Karasik, Fernando Rivadeneira, Douglas P. Kiel, L. Adrienne Cupples, Yi‐Hsiang Hsu (2012). Assessment of gene-by-sex interaction effect on bone mineral density. , 27(10), DOI: https://doi.org/10.1002/jbmr.1679.

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

2012

Authors

90

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1002/jbmr.1679

Join Research Community

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

Get Free Access