ArticleHuman heredity2018
Genetic-Epigenetic Interactions in Asthma Revealed by a Genome-Wide Gene-Centric Search.
Article in Human heredity, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed, 20 citations in OpenAlex.
- Mechanisms and therapeutic strategies of asthma: from bench to bedside.Signal transduction and targeted therapy · 2026Review
- DNA methylation: a potential mediator between air pollution exposures and asthma control.Clinical epigenetics · 2025Article
- Expression patterns of serum miR-27a-3p and activating transcription factor 3 in children with bronchial asthma and their correlations with airway inflammation.The clinical respiratory journal · 2025Article
- Interaction of genetic variants and methylation in transcript-level expression regulation in Alzheimer's disease by multi-omics data analysis.BMC genomics · 2025Article
- Sex Differences in the Frequencies of B and T Cell Subpopulations of Human Cord Blood.International journal of molecular sciences · 2023Article
- The role of epigenetics in multi-generational transmission of asthma: An NIAID workshop report-based narrative review.Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology · 2022Review
- Progresses in epigenetic studies of asthma from the perspective of high-throughput analysis technologies: a narrative review.Annals of translational medicine · 2022Review
- Abi1 mediates airway smooth muscle cell proliferation and airway remodeling via Jak2/STAT3 signaling.iScience · 2022Article
- Relationship betweenZhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2021Article
- A review of epigenetic changes in asthma: methylation and acetylation.Clinical epigenetics · 2021Review
- A landscape of circulating long non-coding RNA (lncRNA) expression profile and the predictive value of candidate lncRNAs for disease risk of knee osteoarthritis.Journal of clinical laboratory analysis · 2020Article
- Recent findings in the genetics and epigenetics of asthma and allergy.Seminars in immunopathology · 2020Review
- Interweaving Between Genetic and Epigenetic Studies on Childhood Asthma.Epigenetics insights · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 7 institutions in 3 countries.
Funding
Abstract
objectivesThere is evidence to suggest that asthma pathogenesis is affected by both genetic and epigenetic variation independently, and there is some evidence to suggest that genetic-epigenetic interactions affect risk of asthma. However, little research has been done to identify such interactions on a genome-wide scale. The aim of this studies was to identify genes with genetic-epigenetic interactions associated with asthma.
methodsUsing asthma case-control data, we applied a novel nonparametric gene-centric approach to test for interactions between multiple SNPs and CpG sites simultaneously in the vicinities of 18,178 genes across the genome.
resultsTwelve genes, PF4, ATF3, TPRA1, HOPX, SCARNA18, STC1, OR10K1, UPK1B, LOC101928523, LHX6, CHMP4B, and LANCL1, exhibited statistically significant SNP-CpG interactions (false discovery rate = 0.05). Of these, three have previously been implicated in asthma risk (PF4, ATF3, and TPRA1). Follow-up analysis revealed statistically significant pairwise SNP-CpG interactions for several of these genes, including SCARNA18, LHX6, and LOC101928523 (p = 1.33E-04, 8.21E-04, 1.11E-03, respectively).
conclusionsJoint effects of genetic and epigenetic variation may play an important role in asthma pathogenesis. Statistical methods that simultaneously account for multiple variations across chromosomal regions may be needed to detect these types of effects on a genome-wide scale.
Indexed as
Identifiers
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.