Dissecting the pleiotropic genetic architecture linking telomere biology to chronic respiratory diseases and lung function

Abstract

Background: Leukocyte telomere length (LTL) has been implicated in aging and age-related diseases, including chronic respiratory diseases (CRDs). However, the extent and mechanisms of shared genetic architecture between LTL and respiratory health indicators (such as CRDs and lung function parameters) remain incompletely understood. Methods: We first systematically characterized the genetic correlations and genetic overlaps between LTL and multiple respiratory health indicators. We then performed horizontal pleiotropy analysis by integrating SNP-level functional annotation, gene mapping, and pathway analysis to identify candidate pleiotropic loci, genes, and shared biological pathways. Finally, we assessed the causal relationships among these trait pairs using the latent causal variable (LCV) and MRlap. Results: There was extensive genetic overlap between LTL and respiratory health indicators, regardless of whether these trait pairs had significant genetic associations. We identified 27,885 candidate pleiotropic loci and 82 pleiotropic genes. Notably, five key genes, such as STN1, MPHOSPH9, MTRFR, MAX, and UCKL1, showed significant pleiotropic effects in multiple phenotype pairs and mediated different patterns of genetic associations. Pathway enrichment analysis of these pleiotropic genes highlighted the close association of specific trait pairs with RNA metabolism and telomere maintenance. Finally, vertical pleiotropy analysis revealed negative causal associations of LTL-idiopathic pulmonary fibrosis and chronic obstructive pulmonary disease-LTL. Conclusions: Our findings reinforce the roles of telomere biology and RNA processing in the pathogenesis of chronic lung diseases and support a shared genetic basis for common molecular pathways.