Menu
GWAS Study

Genetic architecture of bone marrow fat fraction implies its involvement in osteoporosis risk.

Wu Z, Yang Y, Ning C et al.

40796918 PubMed ID
GWAS Study Type
39007 Participants
Scroll to explore
Chapter I

Publication Details

Comprehensive information about this research publication

Authors

WZ
Wu Z
YY
Yang Y
NC
Ning C
LJ
Li J
CY
Cai Y
LY
Li Y
CZ
Cao Z
TS
Tian S
PJ
Peng J
MQ
Ma Q
HC
He C
XS
Xia S
CJ
Chen J
MX
Miao X
LZ
Li Z
ZY
Zhu Y
CQ
Chu Q
TJ
Tian J
Chapter II

Abstract

Summary of the research findings

Bone marrow adipose tissue, as a distinct adipose subtype, has been implicated in the pathophysiology of skeletal, metabolic, and hematopoietic disorders. To identify its underlying genetic factors, we utilized a deep learning algorithm capable of quantifying bone marrow fat fraction (BMFF) in the vertebrae and proximal femur using magnetic resonance imaging data of over 38,000 UK Biobank participants. Genome-wide association analyses uncovered 373 significant BMFF-associated variants (P-value < 5 × 10-9), with enrichment in bone remodeling, metabolism, and hematopoiesis pathway. Furthermore, genetic correlation highlighted a significant association between BMFF and skeletal disease. In about 300,000 individuals, polygenic risk scores derived from three proximal femur BMFF were significantly associated with increased osteoporosis risk. Notably, Mendelian randomization analyses revealed a causal link between proximal femur BMFF and osteoporosis. Here, we show critical insights into the genetic determinants of BMFF and offer perspectives on the biological mechanisms driving osteoporosis development.

39,007 European ancestry individuals

Chapter III

Study Statistics

Key metrics and study information

39007
Total Participants
GWAS
Study Type
No
Replicated
European
Ancestry
U.K.
Recruitment Country
Chapter IV

Analysis

Comprehensive review of health and genetic findings

Important Disclaimer: This review has been performed semi-automatically and is provided for informational purposes only. While we strive for accuracy, this analysis may contain errors, omissions, or misinterpretations of the original research. DNA Genics disclaims all liability for any inaccuracies, errors, or consequences arising from the use of this information. Users should independently verify all information and consult original research publications before making any decisions based on this content. This analysis is not intended as a substitute for professional scientific review or medical advice.

Analysis In Progress

Our analysis of this publication is currently being prepared. Please check back soon for comprehensive insights into the health and genetic findings discussed in this research.