Document Type
Article
Publication Date
2-12-2020
Publication Title
Journal of Clinical Medicine
Publisher
MDPI
Volume
9
Issue
2
First page number:
1
Last page number:
17
Abstract
Background: Whether the bone mineral density (BMD) T-score performs differently in osteoporosis classification in women of different genetic profiling and race background remains unclear. Methods: The genomic data in the Women’s Health Initiative study was analyzed (n = 2417). The polygenic score (PGS) was calculated from 63 BMD-associated single nucleotide polymorphisms (SNPs) for each participant. The World Health Organization′s (WHO) definition of osteoporosis (BMD T-score ≤ −2.5) was used to estimate the cumulative incidence of fracture. Results: T-score classification significantly underestimated the risk of major osteoporotic fracture (MOF) in the WHI study. An enormous underestimation was observed in African American women (POR: 0.52, 95% CI: 0.30–0.83) and in women with low PGS (predicted/observed ratio [POR]: 0.43, 95% CI: 0.28–0.64). Compared to Caucasian women, African American, African Indian, and Hispanic women respectively had a 59%, 41%, and 55% lower hazard of MOF after the T-score was adjusted for. The results were similar when used for any fractures. Conclusions: Our study suggested the BMD T-score performance varies significantly by race in postmenopausal women.
Keywords
Polygenic score (PGS); Bone mineral density (BMD); Single nucleotide polymorphism (SNP)
Disciplines
Orthopedics | Women's Health
File Format
File Size
4.492 KB
Language
English
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Repository Citation
Wu, Q.,
Xiao, X.,
Xu, Y.
(2020).
Evaluating the Performance of the WHO International Reference Standard for Osteoporosis Diagnosis in Postmenopausal Women of Varied Polygenic Score and Race.
Journal of Clinical Medicine, 9(2),
1-17.
MDPI.
http://dx.doi.org/10.3390/jcm9020499