ReviewYonsei medical journal2015
Gene-Environment Interactions in Asthma: Genetic and Epigenetic Effects.
Review in Yonsei medical journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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.
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.
Who cites it
32 citing papers in PubMed, 55 citations in OpenAlex.
- Trial
- Mechanisms and therapeutic strategies of asthma: from bench to bedside.Signal transduction and targeted therapy · 2026Review
- Article
- Current understanding and future directions in severe asthma through artificial intelligence-integrated multi-omic approaches.European respiratory review : an official journal of the European Respiratory Society · 2026Review
- Machine learning and nomogram prediction model to explore the relationship between monocyte-to-high-density lipoprotein cholesterol ratio and asthma: results from the NHANES 2001-2018.European journal of medical research · 2025Article
- Identification of hub genes between moderate to severe asthma and early lung adenocarcinoma through bioinformatics analysis.Scientific reports · 2025Article
- Bacteria and Allergic Diseases.International journal of molecular sciences · 2024Review
- Pulmonary Manifestations of IBD: Case Report and Review of the Literature.Journal of clinical medicine · 2024Review
- Effect of Src tyrosine kinase on a rat model of asthma.Experimental and therapeutic medicine · 2022Article
- Emerging Roles of Non-Coding RNAs in Childhood Asthma.Frontiers in pharmacology · 2022Review
- The risk of atopic dermatitis may be affected byPostepy dermatologii i alergologii · 2021Article
- Second-hand smoke and NFE2L2 genotype interaction increases paediatric asthma risk and severity.Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology · 2021Article
- Review
- Association of the Risk of Childhood Asthma at Age 6 With Maternal Allergic or Immune-Mediated Inflammatory Diseases: A Nationwide Population-Based Study.Frontiers in medicine · 2021Article
- Effects of indoor environment and lifestyle on respiratory health of children in Chongqing, China.Journal of thoracic disease · 2020Article
- Whole-Genome Sequencing Identifies Novel Functional Loci Associated with Lung Function in Puerto Rican Youth.American journal of respiratory and critical care medicine · 2020Article
- Interweaving Between Genetic and Epigenetic Studies on Childhood Asthma.Epigenetics insights · 2020Article
- Review
- Immunological Factors Associated with Adult Asthma in the Aseer Region, Southwestern Saudi Arabia.International journal of environmental research and public health · 2019Article
- Interactions between polycyclic aromatic hydrocarbons and epoxide hydrolase 1 play roles in asthma.Environmental geochemistry and health · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Over the past three decades, a large number of genetic studies have been aimed at finding genetic variants associated with the risk of asthma, applying various genetic and genomic approaches including linkage analysis, candidate gene polymorphism studies, and genome-wide association studies (GWAS). However, contrary to general expectation, even single nucleotide polymorphisms (SNPs) discovered by GWAS failed to fully explain the heritability of asthma. Thus, application of rare allele polymorphisms in well defined phenotypes and clarification of environmental factors have been suggested to overcome the problem of 'missing' heritability. Such factors include allergens, cigarette smoke, air pollutants, and infectious agents during pre- and post-natal periods. The first and simplest interaction between a gene and the environment is a candidate interaction of both a well known gene and environmental factor in a direct physical or chemical interaction such as between CD14 and endotoxin or between HLA and allergens. Several GWAS have found environmental interactions with occupational asthma, aspirin exacerbated respiratory disease, tobacco smoke-related airway dysfunction, and farm-related atopic diseases. As one of the mechanisms behind gene-environment interaction is epigenetics, a few studies on DNA CpG methylation have been reported on subphenotypes of asthma, pitching the exciting idea that it may be possible to intervene at the junction between the genome and the environment. Epigenetic studies are starting to include data from clinical samples, which will make them another powerful tool for re-search on gene-environment interactions in asthma.
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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.