Exploring the Genetic Association Between Connective Tissue Diseases and the Risk of Pulmonary Arterial Hypertension: A Mendelian Randomization Analysis

This study aimed to explore the potential causal link between genetic predisposition to various connective tissue diseases (CTDs), namely systemic lupus erythematosus (SLE), Sjögren's syndrome (SS), polymyositis (PM), dermatomyositis (DM), systemic sclerosis (SSc), mixed connective tissue disease (MCTD), and rheumatoid arthritis (RA), and the incidence of pulmonary arterial hypertension (PAH) utilizing Mendelian randomization (MR). Employing a two-sample MR approach, genetic variants associated with CTDs served as instrumental variables to investigate the exposure-outcome relationship, with GWAS data sourced from the FinnGen Biobank. Comprehensive statistical analyses, including the inverse variance weighted (IVW) method, were conducted, alongside heterogeneity, pleiotropy, and sensitivity tests to ensure the robustness and validity of findings. The results revealed that in the Finnish population, no significant causal associations were identified between PAH and SLE, SS, PM, DM, MCTD, or RA. Notably, a significant association was observed between SSc and an increased risk of PAH (IVW: OR = 1.278, 95% CI = 1.061-1.540, <i>p</i> = 0.010). However, this finding was not replicated in other European populations. These results indicate the unique genetic and pathological pathways underlying SSc-associated PAH, emphasizing the need for tailored screening and management protocols in this patient group.

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Publication Details

Journal
Pulmonary Circulation
Published
2024-10-01
DOI
https://doi.org/10.1002/pul2.70033
Primary Topic
Pulmonary Hypertension Research and Treatments
Type
article
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article

Exploring the Genetic Association Between Connective Tissue Diseases and the Risk of Pulmonary Arterial Hypertension: A Mendelian Randomization Analysis

X.L. Wang, Dinglei Su, Bingjie Gu, Leilei Yang
Pulmonary Circulation
Pulmonary Hypertension Research and Treatments
article

Exploring the Genetic Association Between Connective Tissue Diseases and the Risk of Pulmonary Arterial Hypertension: A Mendelian Randomization Analysis

X.L. Wang, Dinglei Su, Bingjie Gu, Leilei Yang
article en

Abstract

This study aimed to explore the potential causal link between genetic predisposition to various connective tissue diseases (CTDs), namely systemic lupus erythematosus (SLE), Sjögren's syndrome (SS), polymyositis (PM), dermatomyositis (DM), systemic sclerosis (SSc), mixed connective tissue disease (MCTD), and rheumatoid arthritis (RA), and the incidence of pulmonary arterial hypertension (PAH) utilizing Mendelian randomization (MR). Employing a two-sample MR approach, genetic variants associated with CTDs served as instrumental variables to investigate the exposure-outcome relationship, with GWAS data sourced from the FinnGen Biobank. Comprehensive statistical analyses, including the inverse variance weighted (IVW) method, were conducted, alongside heterogeneity, pleiotropy, and sensitivity tests to ensure the robustness and validity of findings. The results revealed that in the Finnish population, no significant causal associations were identified between PAH and SLE, SS, PM, DM, MCTD, or RA. Notably, a significant association was observed between SSc and an increased risk of PAH (IVW: OR = 1.278, 95% CI = 1.061-1.540, <i>p</i> = 0.010). However, this finding was not replicated in other European populations. These results indicate the unique genetic and pathological pathways underlying SSc-associated PAH, emphasizing the need for tailored screening and management protocols in this patient group.

Pulmonary CirculationVol. 14(4)
Nanjing Medical University (CN)
Good health and well-being
Openalex Percentile: Top 57%
Pulmonary Hypertension Research and Treatments
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Exploring the Genetic Association Between Connective Tissue Diseases and the Risk of Pulmonary Arterial Hypertension: A Mendelian Randomization Analysis — X.L. Wang, Dinglei Su, et al. · Pulmonary Circulation (2024) | TGRS Research Map | TGRS