4.5 Article

Detecting causal relationship between metabolic traits and osteoporosis using multivariable Mendelian randomization

期刊

OSTEOPOROSIS INTERNATIONAL
卷 32, 期 4, 页码 715-725

出版社

SPRINGER LONDON LTD
DOI: 10.1007/s00198-020-05640-5

关键词

Causal relationship; Mendelian randomization; Multivariable MR; Osteoporosis

资金

  1. Key Science and Technology Development of Henan Province [192102310191]
  2. Zhengzhou University
  3. NIH [R01-AR069055, U19-AG055373, R01-MH104680, R01-AR059781, P20-GM109036]
  4. Edward G. Schlieder Endowment fund at Tulane University

向作者/读者索取更多资源

By adopting Mendelian randomization extension methods, potential causal risk factors for bone mineral density traits were identified, providing novel insights for the treatment and intervention of bone-related complex traits and diseases.
By adopting the extension approaches of Mendelian randomization, we successfully detected and prioritized the potential causal risk factors for BMD traits, which might provide us novel insights for treatment and intervention into bone-related complex traits and diseases. Introduction Osteoporosis (OP) is a common metabolic skeletal disease characterized by reduced bone mineral density (BMD). The identified SNPs for BMD can only explain approximately 10% of the variability, and very few causal factors have been identified so far. Methods The Mendelian randomization (MR) approach enables us to assess the potential causal effect of a risk factor on the outcome by using genetic IVs. By using extension methods of MR-multivariable MR (mvMR) and MR based on Bayesian model averaging (MR-BMA)-we intend to estimate the causal relationship between fifteen metabolic risk factors for BMD and try to prioritize the most potential causal risk factors for BMD. Results Our analysis identified three risk factors T2D, FG, and HCadjBMI for FN BMD; four risk factors FI, T2D, HCadjBMI, and WCadjBMI for FA BMD; and three risk factors FI, T2D, and HDL cholesterol for LS BMD, and all risk factors were causally associated with heel BMD except for triglycerides and WCadjBMI. Consistent with the mvMR results, MR-BMA confirmed those risk factors as top risk factors for each BMD trait individually. Conclusions By combining MR approaches, we identified the potential causal risk factors for FN, FA, LS, and heel BMD individually and we also prioritized and ranked the potential causal risk factors for BMD, which might provide us novel insights for treatment and intervention into bone-related complex traits and diseases.

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