e-space
Manchester Metropolitan University's Research Repository

Bone mineral density in high-level endurance runners: Part B—genotype-dependent characteristics

Herbert, AJ, Williams, AG, Lockey, SJ, Erskine, RM, Sale, C, Hennis, PJ, Day, SH and Stebbings, GK (2022) Bone mineral density in high-level endurance runners: Part B—genotype-dependent characteristics. European Journal of Applied Physiology, 122 (1). pp. 71-80. ISSN 1439-6319

[img]
Preview
Published Version
Available under License Creative Commons Attribution.

Download (726kB) | Preview

Abstract

Purpose Inter-individual variability in bone mineral density (BMD) exists within and between endurance runners and non-athletes, probably in part due to differing genetic profiles. Certainty is lacking, however, regarding which genetic variants may contribute to BMD in endurance runners and if specific genotypes are sensitive to environmental factors, such as mechanical loading via training. Method Ten single-nucleotide polymorphisms (SNPs) were identified from previous genome-wide and/or candidate gene association studies that have a functional effect on bone physiology. The aims of this study were to investigate (1) associations between genotype at those 10 SNPs and bone phenotypes in high-level endurance runners, and (2) interactions between genotype and athlete status on bone phenotypes. Results Female runners with P2RX7 rs3751143 AA genotype had 4% higher total-body BMD and 5% higher leg BMD than AC+CC genotypes. Male runners with WNT16 rs3801387 AA genotype had 14% lower lumbar spine BMD than AA genotype non-athletes, whilst AG+GG genotype runners also had 5% higher leg BMD than AG+GG genotype non-athletes. Conclusion We report novel associations between P2RX7 rs3751143 genotype and BMD in female runners, whilst differences in BMD between male runners and non-athletes with the same WNT16 rs3801387 genotype existed, highlighting a potential genetic interaction with factors common in endurance runners, such as high levels of mechanical loading. These findings contribute to our knowledge of the genetic associations with BMD and improve our understanding of why some runners have lower BMD than others.

Impact and Reach

Statistics

Activity Overview
6 month trend
90Downloads
6 month trend
77Hits

Additional statistics for this dataset are available via IRStats2.

Altmetric

Actions (login required)

View Item View Item