Ethnic disparities in fracture risk assessment using polygenic scores

被引:2
作者
Xiao, Xiangxue [1 ,2 ]
Wu, Qing [3 ]
机构
[1] Univ Nevada, Nevada Inst Personalized Med, Coll Sci, Las Vegas, NV USA
[2] Univ Nevada Las Vegas, Sch Publ Hlth, Dept Epidemiol & Biostat, Las Vegas, NV USA
[3] Ohio State Univ, Coll Med, Dept Biomed Informat, 320K Lincoln Tower,1800 Cannon Dr, Columbus, OH 43210 USA
基金
美国国家卫生研究院;
关键词
Disease and disorders of; related to bone; Fracture risk assessment; Genetic research; Human association studies; Osteoporosis; BONE-MINERAL DENSITY; METAANALYSIS; PREDICTION; MASS;
D O I
10.1007/s00198-023-06712-y
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
'Summary' Whether the PGS developed using data from European ancestry is predictive of fracture risk for minorities remains unclear. This study demonstrated that PGSs based on common BMD-related genetic variants discovered in the European ancestry cohort are predictive of fracture risk in people of Asian but not African ancestry.Purpose Large-scale genome-wide association studies (GWAS) on bone mineral density (BMD) have been conducted predominantly in European cohorts. Genetic models based on common variants associated with BMD have been evaluated using almost exclusively European data, which could potentially exacerbate health disparities due to different linkage disequilibrium among different ethnic groups.Methods UK Biobank (UKB) is a large-scale population-based observational study starting in 2006 that recruited 502,617 individuals aged between 40 and 69 years with genotypic and phenotypic data available. Based on the summary statistics of two GWAS studies of femoral neck BMD and total body BMD, we derived four PGSs and assessed the association between each PGS and prevalent/incident fractures within each ethnic group separately using Multivariate logistic regressions and Cox proportional hazard models. All models were adjusted for age, sex, and the first four principal components.Results We assessed four PGSs derived from European cohorts. Significant associations were observed between PGSs and fracture in European and Asian cohorts but not in the African cohort. Of all four PGSs, PGS_TBldpred performed the best. A standard deviation decreases in PGS_TBldpred were associated with an increased hazard ratio (HR) of 1.24 (1.22-1.27), 1.28 (0.83-1.99), and 1.34 (1.10-1.64) in European, African, and Asian ancestry, respectively. A low BMD-related PGS is associated with up to 2.35-and 4.31-fold increased fracture risk in European and Asian populations.Conclusions These results showed that PGSs based on common BMD-related genetic variants discovered in the European ancestry cohort are predictive of fracture risk in people of Asian but not African ancestry.
引用
收藏
页码:943 / 953
页数:11
相关论文
共 50 条
[21]   How Do We Incorporate Polygenic Risk Scores in Cardiovascular Disease Risk Assessment and Management? [J].
Hadley, Trevor D. ;
Agha, Ali M. ;
Ballantyne, Christie M. .
CURRENT ATHEROSCLEROSIS REPORTS, 2021, 23 (06)
[22]   Fracture risk assessment in clinical practice: T-scores, FRAX, and beyond [J].
Lewiecki E.M. .
Clinical Reviews in Bone and Mineral Metabolism, 2010, 8 (3) :101-112
[23]   Optimizing and benchmarking polygenic risk scores with GWAS summary statistics [J].
Zhao, Zijie ;
Gruenloh, Tim ;
Yan, Meiyi ;
Wu, Yixuan ;
Sun, Zhongxuan ;
Miao, Jiacheng ;
Wu, Yuchang ;
Song, Jie ;
Lu, Qiongshi .
GENOME BIOLOGY, 2024, 25 (01)
[24]   Polygenic risk scores: from research tools to clinical instruments [J].
Lewis, Cathryn M. ;
Vassos, Evangelos .
GENOME MEDICINE, 2020, 12 (01)
[25]   Clinical utility of polygenic risk scores: a critical 2023 appraisal [J].
Koch, Sebastian ;
Schmidtke, Joerg ;
Krawczak, Michael ;
Caliebe, Amke .
JOURNAL OF COMMUNITY GENETICS, 2023, 14 (05) :471-487
[26]   Generalizing polygenic risk scores from Europeans to Hispanics/Latinos [J].
Grinde, Kelsey E. ;
Qi, Qibin ;
Thornton, Timothy A. ;
Liu, Simin ;
Shadyab, Aladdin H. ;
Chan, Kei Hang K. ;
Reiner, Alexander P. ;
Sofer, Tamar .
GENETIC EPIDEMIOLOGY, 2019, 43 (01) :50-62
[27]   Polygenic risk scores and breast cancer risk prediction [J].
Roberts, Eleanor ;
Howell, Sacha ;
Evans, D. Gareth .
BREAST, 2023, 67 :71-77
[28]   Fracture Risk Assessment in the 2023 Osteoporosis Canada Guideline [J].
Leslie, William D. ;
Burrell, Steven ;
Morin, Suzanne N. .
CANADIAN ASSOCIATION OF RADIOLOGISTS JOURNAL-JOURNAL DE L ASSOCIATION CANADIENNE DES RADIOLOGISTES, 2025, 76 (03) :508-518
[29]   Evaluating risk for alcohol use disorder: Polygenic risk scores and family history [J].
Lai, Dongbing ;
Johnson, Emma C. ;
Colbert, Sarah ;
Pandey, Gayathri ;
Chan, Grace ;
Bauer, Lance ;
Francis, Meredith W. ;
Hesselbrock, Victor ;
Kamarajan, Chella ;
Kramer, John ;
Kuang, Weipeng ;
Kuo, Sally ;
Kuperman, Samuel ;
Liu, Yunlong ;
McCutcheon, Vivia ;
Pang, Zhiping ;
Plawecki, Martin H. ;
Schuckit, Marc ;
Tischfield, Jay ;
Wetherill, Leah ;
Zang, Yong ;
Edenberg, Howard J. ;
Porjesz, Bernice ;
Agrawal, Arpana ;
Foroud, Tatiana .
ALCOHOL-CLINICAL AND EXPERIMENTAL RESEARCH, 2022, 46 (03) :374-383
[30]   Role of polygenic risk scores in the association between chronotype and health risk behaviors [J].
Zhang, Yi ;
Li, Shuqin ;
Xie, Yang ;
Xiao, Wan ;
Xu, Huiqiong ;
Jin, Zhengge ;
Li, Ruoyu ;
Wan, Yuhui ;
Tao, Fangbiao .
BMC PSYCHIATRY, 2023, 23 (01)