Causal association between cardiovascular diseases and erectile dysfunction, a Mendelian randomization study

Qingying Li1, Qiang Long1, Baoming Ren1

  • 1Department of Urology, Xi'an No.3 Hospital, The Affiliated Hospital of Northwest University, Xi'an, Shanxi, China.

Insights

Cardiovascular diseases like coronary heart disease and heart failure increase erectile dysfunction (ED) risk. However, ischemic heart disease and atrial fibrillation do not show a causal link to ED in this genetic study.

Area of Science:

  • Cardiovascular health
  • Genetics
  • Men's health

Background:

  • Cardiovascular diseases (CVD) are common in older adults.
  • The link between CVD and erectile dysfunction (ED) is understudied.
  • Investigating the causal relationship between CVD and ED is crucial.

Purpose of the Study:

  • To clarify the causal association between various cardiovascular diseases (CVD) and erectile dysfunction (ED).
  • To determine if specific CVDs, such as coronary heart disease (CHD), heart failure, ischemic heart disease (IHD), and atrial fibrillation, causally influence ED risk.

Main Methods:

  • Utilized genome-wide association studies (GWAS) datasets for CHD, heart failure, IHD, and atrial fibrillation.
  • Employed single-variable and multivariable Mendelian randomization (MVMR) analyses.
  • Retrieved single nucleotide polymorphisms (SNPs) to assess genetic predisposition.

Main Results:

  • Genetically predicted coronary heart disease (CHD) and heart failure significantly increased the risk of ED (OR=1.09, P<0.05; OR=1.36, P<0.05).
  • No significant causal association was found between ischemic heart disease (IHD), atrial fibrillation, and ED (P>0.05).
  • MVMR analyses confirmed the causal role of CHD and heart failure on ED, even after adjusting for risk factors.

Conclusions:

  • Genetically predicted CHD and heart failure appear to be causal risk factors for ED.
  • IHD and atrial fibrillation did not show a significant causal link to ED in this study.
  • Further research is needed to validate the non-causal inference for IHD.
Abstract

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