Journal of Shandong University (Health Sciences) ›› 2020, Vol. 58 ›› Issue (5): 107-114.doi: 10.6040/j.issn.1671-7554.0.2019.721

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Causal association between height and risk of coronary heart disease: a two-sample Mendelian randomization analysis

LI Yunxia1,2, LI Hongkai1,2, MA Yuntao3, YU Yuanyuan1,2, SUN Xiaoru1,2, LIU Xinhui1,2, SI Shucheng1,2, HOU Lei1,2, YUAN Tonghui1,2, LIU Lu1,2, LI Wenchao1,2, XUE Fuzhong1,2, LIU Yanxun1,2   

  • Published:2022-09-27

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Abstract: Objective To explore the causal relationship between height and cardiovascular heart disease(CHD)using the Mendelian randomization(MR)analysis. Methods This study was a secondary data analysis based on Meta-analysis data of Genome-Wide Association Study(GWAS). Genetic variants which were closely related to height in large sample GWAS summary data were identified as instrumental variables(IV). Using odds ratio(OR)as outcome indicator, the causal relationship between height and CHD was analyzed by two-sample MR methods, including inverse variance weighted(IVW)method, weighted median estimator(WME)method and MR-Egger regression. Results A total of 108 SNPs were chosen as IV. The OR and 95%CI between height and CHD were estimated to be 0.760 5(0.644 8-0.896 9)and 0.737 9(0.589 9-0.923 1)by IVW and WME methods, respectively. The results were similar, and suggested a causal relationship between height and CHD. The MR-Egger regression results suggested that the genetic pleiotropy was unlikely to bias our results(the intercept was -0.003 1, 95%CI: -0.013 8-0.0076). The risk of CHD decreased by about 25% when height increase one standard deviation(SD=0.0699 m). Conclusion There is a negative causal relationship between height and CHD.

Key words: Mendelian randomization, Height, Cardiovascular heart disease, Causal inference

CLC Number: 

  • R541.4
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