Abstract

Aiming to investigate whether genetic risk factors (GRFs) for fracture and bone mineral density (BMD) identified from people of European descent can help improve the prediction of osteoporotic fracture (OF) risk and BMD in Chinese populations, we built assessment models for femoral neck (FN)-fracture prediction and BMD value prediction using 700 elderly Chinese Han subjects and 1,620 unrelated Chinese Han subjects, respectively. 17 fracture-associated genes and 82 FN-BMD associated genes identified in people of European descent were used to build a logistic regression model with clinical risk factors (CRFs) for FN-fracture prediction in Chinese. Meanwhile 107 BMD-associated genes from people of European descent were used to build a multiple linear regression model with CRFs for BMD prediction in Chinese. A Lasso algorithm was employed for informative SNP selection to construct the genetic risk score (GRS) with ten-fold cross-validation. The results showed that, adding fracture GRF and FN-BMD GRF to the model with CRFs, the area under the receiver operating characteristic curve (AUC) decrease from 0.653 to 0.587 and 0.588, respectively, for FN fracture prediction. 62.3% and 61.8% of the risk variation were explained by the Model with CRFs and fracture GRF and by the Model with CRFs and FN-BMD GRF, respectively, as compared to 65.5% in the Model with CRFs only. The net reclassification improvement (NRI) index in the reclassification analysis is 0.56% (P = 0.57) and 1.13% (P = 0.29), respectively. There is no significant difference either between the performance of the model with CRFs and that of the model with both CRFs and GRF for BMD prediction. We concluded that, in the current study, GRF of fracture identified in people of European descent does not contributes to improve the fracture prediction in Chinese; and GRF of BMD from people of European descent cannot help improve the accuracy of the fracture prediction in Chinese perhaps partially because GRF of BMD from people of European descent may not contribute to BMD prediction in Chinese. This study highlights the limited utility of the current genetics studies largely focused on people of European descent for disease or risk factor prediction in other ethnic groups, and calls for more and larger scale studies focused on other ethnic groups.

Highlights

  • Osteoporosis (OP) is a chronic disease characterized by low bone mineral density (BMD) and an increased risk of fracture

  • Our study is to investigate whether genetic factors identified predominantly from people of European descent can help improve the prediction of BMD and the prediction accuracy of osteoporotic fracture in Chinese

  • We conducted assessments for femoral neck (FN)-fracture prediction in a Chinese Han ancestry population using clinical risk factors (CRFs), genetic risk factors (GRFs) associated with fracture and/or BMD from European descent studies

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Summary

Introduction

Osteoporosis (OP) is a chronic disease characterized by low bone mineral density (BMD) and an increased risk of fracture. Some of the CRFs (such as ethnicity, weight, and height) are highly heritable[7,8,16,17,18,19] These CRFs are commonly used as prediction factors in fracture risk assessment models[20,21]. Whether genetic factors identified from people of European descent can help improve the prediction of BMD and the accuracy of fracture in Chinese populations remains uncertain. In practice, only BMD-associated genetic factors were identified in most of the osteoporosis genetics studies, but whether BMD-associated genetic factors in people of European descent can improve the fracture prediction power of osteoporotic fractures in Chinese populations is not clear. The aim of this study is to investigate (1) whether fracture-associated genetic factors identified from people of European descent studies can improve the risk prediction of OF in Chinese, (2) whether BMD-associated genetic factors identified from people of European descent can improve the prediction of BMD in Chinese, and (3) whether BMD-associated genetic factors identified from people of European descent can improve the fracture prediction power in Chinese

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