The role of mitochondrial DNA copy number in cardiometabolic disease: a bidirectional two-sample mendelian randomization study

Author:

Qin Pei,Qin Tianhang,Liang Lei,Li Xinying,Jiang Bin,Wang Xiaojie,Ma Jianping,Hu Fulan,Zhang Ming,Hu Dongsheng

Abstract

Abstract Background This study used a bidirectional 2-sample Mendelian randomization study to investigate the potential causal links between mtDNA copy number and cardiometabolic disease (obesity, hypertension, hyperlipidaemia, type 2 diabetes [T2DM], coronary artery disease [CAD], stroke, ischemic stroke, and heart failure). Methods Genetic associations with mtDNA copy number were obtained from a genome-wide association study (GWAS) summary statistics from the UK biobank (n = 395,718) and cardio-metabolic disease were from largest available GWAS summary statistics. Inverse variance weighting (IVW) was conducted, with weighted median, MR-Egger, and MR-PRESSO as sensitivity analyses. We repeated this in the opposite direction using instruments for cardio-metabolic disease. Results Genetically predicted mtDNA copy number was not associated with risk of obesity (P = 0.148), hypertension (P = 0.515), dyslipidemia (P = 0.684), T2DM (P = 0.631), CAD (P = 0.199), stroke (P = 0.314), ischemic stroke (P = 0.633), and heart failure (P = 0.708). Regarding the reverse directions, we only found that genetically predicted dyslipidemia was associated with decreased levels of mtDNA copy number in the IVW analysis (β= − 0.060, 95% CI − 0.044 to − 0.076; P = 2.416e−14) and there was suggestive of evidence for a potential causal association between CAD and mtDNA copy number (β= − 0.021, 95% CI − 0.003 to − 0.039; P = 0.025). Sensitivity and replication analyses showed the stable findings. Conclusions Findings of this Mendelian randomization study did not support a causal effect of mtDNA copy number in the development of cardiometabolic disease, but found dyslipidemia and CAD can lead to reduced mtDNA copy number. These findings have implications for mtDNA copy number as a biomarker of dyslipidemia and CAD in clinical practice.

Funder

Nanshan District Health System Science and Technology Major Project

the Science and Technology Program Key Project of Nanshan District of Shenzhen City

the National Natural Science Foundation of China

the Natural Science Foundation of Guangdong Province

the Guangdong Provincial Key Laboratory of Regional Immunity and Diseases

the Science and Technology Development Foundation of Shenzhen

Publisher

Springer Science and Business Media LLC

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