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

Ho-Le, TP; Pham, HM; Center, JR; Eisman, JA; Nguyen, HT; Nguyen, TV

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

Ho-Le, TP Pham, HM Center, JR Eisman, JA Nguyen, HT

Nguyen, TV

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Publication Type:: Journal Article
Citation:: Archives of Osteoporosis, 2018, 13 (1)
Issue Date:: 2018-12-01

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Field	Value	Language
dc.contributor.author	Ho-Le, TP	en_US
dc.contributor.author	Pham, HM	en_US
dc.contributor.author	Center, JR	en_US
dc.contributor.author	Eisman, JA	en_US
dc.contributor.author	Nguyen, HT https://orcid.org/0000-0003-3373-8178	en_US
dc.contributor.author	Nguyen, TV https://orcid.org/0000-0002-3246-6281	en_US
dc.date.available	2018-05-26	en_US
dc.date.issued	2018-12-01	en_US
dc.identifier.citation	Archives of Osteoporosis, 2018, 13 (1)	en_US
dc.identifier.issn	1862-3522	en_US
dc.identifier.uri	http://hdl.handle.net/10453/132509
dc.description.abstract	© 2018, International Osteoporosis Foundation and National Osteoporosis Foundation. 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.	en_US
dc.relation.ispartof	Archives of Osteoporosis	en_US
dc.relation.isbasedon	10.1007/s11657-018-0480-2	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject.mesh	Femur Neck	en_US
dc.subject.mesh	Humans	en_US
dc.subject.mesh	Osteoporosis	en_US
dc.subject.mesh	Absorptiometry, Photon	en_US
dc.subject.mesh	Risk Factors	en_US
dc.subject.mesh	Follow-Up Studies	en_US
dc.subject.mesh	Bone Density	en_US
dc.subject.mesh	Genotype	en_US
dc.subject.mesh	Forecasting	en_US
dc.subject.mesh	Aged	en_US
dc.subject.mesh	Female	en_US
dc.subject.mesh	Male	en_US
dc.subject.mesh	Fractures, Bone	en_US
dc.subject.mesh	Genome-Wide Association Study	en_US
dc.title	Prediction of changes in bone mineral density in the elderly: contribution of “osteogenomic profile”	en_US
dc.type	Journal Article
utslib.citation.volume	1	en_US
utslib.citation.volume	13	en_US
utslib.for	0803 Computer Software	en_US
utslib.for	1103 Clinical Sciences	en_US
utslib.for	1104 Complementary and Alternative Medicine	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Biomedical Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
pubs.organisational-group	/University of Technology Sydney/Students
utslib.copyright.status	closed_access	*
pubs.issue	1	en_US
pubs.publication-status	Published	en_US
pubs.volume	13	en_US

Abstract:

© 2018, International Osteoporosis Foundation and National Osteoporosis Foundation. 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.

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http://hdl.handle.net/10453/132509