Evidence map›Paper›PMID 40155373›Full record

ArticleNature communications2025

A genome-wide cross-trait analysis characterizes the shared genetic architecture between lung and gastrointestinal diseases.

Dongfang You, Yaqian Wu, Mengyi Lu, Fang Shao, Yingdan Tang, Sisi Liu, Liya Liu, Zewei Zhou, Ruyang Zhang, Sipeng Shen and 9 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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  12. Integrated network pharmacology andFrontiers in immunology · 2026
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  13. Review
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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

19 authors.

Dongfang You *Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China.
Yaqian Wu *Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China.
Mengyi Lu *Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China.
Fang ShaoDepartment of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China.ORCID http://orcid.org/0000-0002-2551-2956
Yingdan TangDepartment of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China.
Sisi LiuDepartment of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China.
Liya LiuHealth Science Center, Ningbo University, Ningbo, Zhejiang, China.
Zewei ZhouDepartment of Immunology, Key Laboratory of Human Functional Genomics of Jiangsu Province, Nanjing Medical University, Nanjing, Jiangsu, China.
Ruyang ZhangDepartment of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China.ORCID http://orcid.org/0000-0003-3861-4297
Sipeng ShenDepartment of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China.ORCID http://orcid.org/0000-0003-0436-4736
Theis LangeSection of Biostatistics, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.ORCID http://orcid.org/0000-0001-6807-8347
Hongyang XuDepartment of Critical Care Medicine, Wuxi People's Hospital Affiliated to Nanjing Medical University, Wuxi, Jiangsu, China.
Hongxia MaDepartment of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China.ORCID http://orcid.org/0000-0002-9821-6955
Yongmei YinDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Hongbing ShenDepartment of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China.ORCID http://orcid.org/0000-0002-2581-5906
Feng ChenDepartment of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China.
David C ChristianiDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA.ORCID http://orcid.org/0000-0002-0301-0242
Guangfu JinDepartment of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China. guangfujin@njmu.edu.cn.ORCID http://orcid.org/0000-0003-0249-5337
Yang ZhaoDepartment of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China. yzhao@njmu.edu.cn.ORCID http://orcid.org/0000-0003-1393-7567

Funding

Statistical Methods for Analysis of Massive Genetic and Genomic Data in Cancer ResearchR35CA197449 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI XIHONG LIN · 2015 to 2026
$10.9M
National Natural Science Foundation of China (National Science Foundation of China) 82173620National Natural Science Foundation of China (National Science Foundation of China) 82204156National Natural Science Foundation of China (National Science Foundation of China) 82220108002National Natural Science Foundation of China (National Science Foundation of China) 82373690NCI NIH HHS R35 CA197449Wellcome Trust
6 · The paper itself

Abstract

Lung and gastrointestinal diseases often occur together, leading to more adverse health outcomes than when a disease of one of these systems occurs alone. However, the potential genetic mechanisms underlying lung-gastrointestinal comorbidities remain unclear. Here, we leverage lung and gastrointestinal trait data from individuals of European, East Asian and African ancestries, to perform a large-scale genetic cross trait analysis, followed by functional annotation and Mendelian randomization analysis to explore the genetic mechanisms involved in the development of lung-gastrointestinal comorbidities. Notably, we find significant genetic correlations between 27 trait pairs among the European population. The highest correlation is between chronic bronchitis and peptic ulcer disease. At the variant level, we identify 42 candidate pleiotropic genetic variants (3 of them previously uncharacterized) in 14 trait pairs by integrating cross-trait meta-analysis, fine-mapping and colocalization analyses. We also find 66 candidate pleiotropic genes, most of which were enriched in immune or inflammatory response-related activities. Causal inference approaches result in 4 potential lung-gastrointestinal associations. Introducing the gut microbiota as a variable establishes a relationship between the genus Parasutterella, gastro-oesophageal reflux disease and asthma. In summary, our findings highlight the genetic relationship between lung and gastrointestinal diseases, providing insights into the genetic mechanisms underlying the development of lung gastrointestinal comorbidities.

Indexed as

Gastrointestinal DiseasesLung DiseasesAfrican PeopleAsthmaComorbidityEast Asian PeopleGastroesophageal RefluxGastrointestinal MicrobiomeGenetic PleiotropyGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMendelian Randomization AnalysisPolymorphism, Single NucleotideWhite People

Identifiers

PMID40155373
PMCPMC11953465

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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.