Evidence map›Paper›PMID 40864326›Full record

ArticleClinical and experimental medicine2025

The shared genetic etiology of autoimmune disorders and interstitial lung disease: insights from large-scale genome-wide cross-trait analysis.

Fang Zhou, Ting Li, Hongyan Hui, Jianlian Gao, Zhichao Xu, Zhijian Deng

Abstract read
In one paragraph

Article in Clinical and experimental medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Fang ZhouDepartment of Clinical Pharmacy, The First Affiliated Hospital of Xinxiang Medical University, Weihui, China.
Ting LiDepartment of Blood Purification, The First Affiliated Hospital of Xinxiang Medical University, Weihui, China.
Hongyan HuiDepartment of Clinical Pharmacy, The First Affiliated Hospital of Xinxiang Medical University, Weihui, China.
Jianlian GaoDepartment of Clinical Pharmacy, The First Affiliated Hospital of Xinxiang Medical University, Weihui, China.
Zhichao XuDepartment of Clinical Pharmacy, The First Affiliated Hospital of Xinxiang Medical University, Weihui, China.
Zhijian DengDepartment of Clinical Pharmacy, The First Affiliated Hospital of Xinxiang Medical University, Weihui, China. deng710402@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autoimmune diseases often co-occur with interstitial lung disease (ILD), and ILD is associated with patient prognosis. Research has demonstrated a relationship between autoimmune diseases and ILD; however, the genetic basis underlying this connection is frequently overlooked. Linkage disequilibrium score regression and high-definition likelihood methods were applied to large-scale genome-wide association studies summary-level data sets to assess genetic correlations between 17 autoimmune disorders and ILD. Several functional annotations and tissue-specific analyses were performed to determine the influence of pleiotropic genes based on the pleiotropy analysis method under the compound null hypothesis method. Eight autoimmune disorders were revealed sharing genetic mechanisms with ILD. A total of 107 pleiotropic loci were identified at the genome-wide significance level (P < 5 × 10

Indexed as

Autoimmune DiseasesGenetic Predisposition to DiseaseGenome-Wide Association StudyLung Diseases, InterstitialGenetic PleiotropyHumansLinkage DisequilibriumPolymorphism, Single NucleotideAutoimmune diseasesGenetic etiologyGWASInterstitial lung disease

Identifiers

PMID40864326
PMCPMC12391177

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.