ArticleThorax2023
Integrative analyses for the identification of idiopathic pulmonary fibrosis-associated genes and shared loci with other diseases.
Article in Thorax, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
7 citing papers in PubMed, 10 citations in OpenAlex.
- Decoding fibroblast activation: Transcriptional networks in hepatic stellate cells and across fibrotic organs (Review).International journal of molecular medicine · 2026Review
- Multi-omics insights into the mechanisms and prognosis of IPF.Genes and environment : the official journal of the Japanese Environmental Mutagen Society · 2026Review
- LncRNA HOXA11-AS promotes idiopathic pulmonary fibrosis progression via sponging miR-148a-3p and regulating SMAD2.Hereditas · 2026Article
- Decoding the complexity: mechanistic insights into comorbidities in idiopathic pulmonary fibrosis.The European respiratory journal · 2025Review
- KIF15 missense variant is associated with the early onset of idiopathic pulmonary fibrosis.Respiratory research · 2023Observational
- Idiopathic pulmonary fibrosis and the role of genetics in the era of precision medicine.Frontiers in medicine · 2023Review
- Topological network properties of resting-state functional connectivity patterns are associated with metal mixture exposure in adolescents.Frontiers in neuroscience · 2023Article
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 3 countries.
Funding
Abstract
backgroundAlthough genome-wide association studies (GWAS) have identified many genomic regions associated with idiopathic pulmonary fibrosis (IPF), the causal genes and functions remain largely unknown. Many single-cell expression data have become available for IPF, and there is increasing evidence suggesting a shared genetic basis between IPF and other diseases.
methodsWe conducted integrative analyses to improve the power of GWAS. First, we calculated global and local genetic correlations to identify IPF genetically associated traits and local regions. Then, we prioritised candidate genes contributing to local genetic correlation. Second, we performed transcriptome-wide association analysis (TWAS) of 44 tissues to identify candidate genes whose genetically predicted expression level is associated with IPF. To replicate our findings and investigate the regulatory role of the transcription factors (TF) in identified candidate genes, we first conducted the heritability enrichment analysis in TF binding sites. Then, we examined the enrichment of the TF target genes in cell-type-specific differentially expressed genes (DEGs) identified from single-cell expression data of IPF and healthy lung samples.
findingsWe identified 12 candidate genes across 13 genomic regions using local genetic correlation, including the
interpretationOur integrative analysis identified new genes for IPF susceptibility and expanded the understanding of the complex genetic architecture and disease mechanism of IPF.
Indexed as
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.