Prediction of changes in bone mineral density in the elderly: contribution of “osteogenomic profile”

Summary The contribution of genetic variants to longitudinal bone loss has not been well documented. We constructed an “osteogenomic profile” based on 62 BMD-associated genetic variants and showed that the profile was significantly associated with bone loss, independently from baseline BMD and age....

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Bibliographic Details
Published in:Archives of osteoporosis 2018-06, Vol.13 (1), p.68-68, Article 68
Main Authors: Ho-Le, Thao P., Pham, Hanh M., Center, Jacqueline R., Eisman, John A., Nguyen, Hung T., Nguyen, Tuan V.
Format: Article
Language:English
Subjects:
Endocrinology
Medicine
Medicine & Public Health
Original Article
Orthopedics
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Summary:Summary The contribution of genetic variants to longitudinal bone loss has not been well documented. We constructed an “osteogenomic profile” based on 62 BMD-associated genetic variants and showed that the profile was significantly associated with bone loss, independently from baseline BMD and age. The osteogenomic profile can help predict bone loss in an individual. Introduction The rate of longitudinal bone loss (ΔBMD) is a risk factor for fracture. The variation in ΔBMD is partly determined by genetic factors. This study sought to define the association between an osteogenomic profile and ΔBMD. Methods The osteogenomic profile was created from 62 BMD-associated SNPs from genome-wide association studies (GWAS) that were genotyped in 1384 elderly men and women aged 60+ years. Weighted genetic risk scores (GRS) were constructed for each individual by summing the products of the number of risk alleles and the sex-specific regression coefficients [associated with BMD from GWAS]. ΔBMD, expressed as annual percent change-in-BMD, was determined by linear regression analysis for each individual who had had at least two femoral neck BMD measurements. Results The mean ΔBMD was − 0.65% (SD 1.64%) for women and − 0.57% (SD 1.40%) for men , and this difference was not statistically significant ( P  = 0.32). In women, each unit increase in GRS was associated with 0.21% (SE 0.10) higher ΔBMD at the femoral neck ( P  = 0.036), and this association was independent of baseline BMD and age. In logistic regression analysis, each unit increase of GRS was associated with 41% odds (95%CI: 1.07–1.87) of rapid bone loss (ΔBMD ≤ − 1.2%/year; mean of rapid loss group = − 2.2%/year). There was no statistically significant association between ΔBMD and GRS in men. Conclusions We conclude that the osteogenomic profile constructed from BMD-associated genetic variants is modestly associated with long-term changes in femoral neck BMD in women, but not in men.
ISSN:1862-3522
1862-3514
DOI:10.1007/s11657-018-0480-2