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Evaluating the Performance of the WHO International Reference Standard for Osteoporosis Diagnosis in Postmenopausal Women of Varied Polygenic Score and Race
by
Wu, Qing
, Xiao, Xiangxue
, Xu, Yingke
in
Bones
/ Classification
/ Clinical medicine
/ Epidemiology
/ Ethnicity
/ Fractures
/ Genomes
/ Genomics
/ Genotype & phenotype
/ Health risk assessment
/ Minority & ethnic groups
/ Osteoporosis
/ Questionnaires
/ Standard deviation
/ White people
/ Womens health
2020
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Evaluating the Performance of the WHO International Reference Standard for Osteoporosis Diagnosis in Postmenopausal Women of Varied Polygenic Score and Race
by
Wu, Qing
, Xiao, Xiangxue
, Xu, Yingke
in
Bones
/ Classification
/ Clinical medicine
/ Epidemiology
/ Ethnicity
/ Fractures
/ Genomes
/ Genomics
/ Genotype & phenotype
/ Health risk assessment
/ Minority & ethnic groups
/ Osteoporosis
/ Questionnaires
/ Standard deviation
/ White people
/ Womens health
2020
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While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Evaluating the Performance of the WHO International Reference Standard for Osteoporosis Diagnosis in Postmenopausal Women of Varied Polygenic Score and Race
by
Wu, Qing
, Xiao, Xiangxue
, Xu, Yingke
in
Bones
/ Classification
/ Clinical medicine
/ Epidemiology
/ Ethnicity
/ Fractures
/ Genomes
/ Genomics
/ Genotype & phenotype
/ Health risk assessment
/ Minority & ethnic groups
/ Osteoporosis
/ Questionnaires
/ Standard deviation
/ White people
/ Womens health
2020
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Evaluating the Performance of the WHO International Reference Standard for Osteoporosis Diagnosis in Postmenopausal Women of Varied Polygenic Score and Race
Journal Article
Evaluating the Performance of the WHO International Reference Standard for Osteoporosis Diagnosis in Postmenopausal Women of Varied Polygenic Score and Race
2020
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Overview
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.
Publisher
MDPI AG,MDPI
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