ReviewAnnals of the American Thoracic Society2016
Asthma Genetics in the Post-GWAS Era.
Review in Annals of the American Thoracic Society, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 2 of them syntheses that pooled 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.
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
56 citing papers in PubMed, 2 syntheses or guidelines pooled it, 120 citations in OpenAlex.
- Discerning asthma endotypes through comorbidity mapping.Nature communications · 2022Pooled it
- Genetically high angiotensin-converting enzyme concentrations causally increase asthma risk: A meta-analysis using Mendelian randomization.Frontiers in medicine · 2022Pooled it
- Associations Between Genetic Variants in the 17q21 Locus,Children (Basel, Switzerland) · 2026Article
- Mechanisms and therapeutic strategies of asthma: from bench to bedside.Signal transduction and targeted therapy · 2026Review
- Carbohydrate Metabolism Differs in Infants by Asthma-risk Status and is Associated with the Functional Potential ofbioRxiv : the preprint server for biology · 2026Article
- Association of the endosomal sorting processes cargo selection and membrane tubulation with human reward system reactivity.European archives of psychiatry and clinical neuroscience · 2026Article
- Integration of biobank-scale genetics and plasma proteomics reveals evidence for causal processes in asthma risk and heterogeneity.Cell genomics · 2025Article
- Integration of functional genomics and statistical fine-mapping systematically characterizes adult-onset and childhood-onset asthma genetic associations.Genome medicine · 2025Article
- Epigenomic partitioning of a polygenic risk score for asthma reveals distinct genetically driven disease pathways.The European respiratory journal · 2024Article
- Decoding the role of DNA methylation in allergic diseases: from pathogenesis to therapy.Cell & bioscience · 2024Review
- Untargeted metabolomic analysis reveals different metabolites associated with response to mepolizumab and omalizumab in asthma.ERJ open research · 2024Article
- Omics approaches in asthma research: Challenges and opportunities.Chinese medical journal pulmonary and critical care medicine · 2024Review
- Unspecified asthma, childhood-onset, and adult-onset asthma have different causal genes: a Mendelian randomization analysis.Frontiers in immunology · 2024Article
- Novel insights into the whole-blood DNA methylome of asthma in ethnically diverse children and youth.The European respiratory journal · 2023Article
- Contributions of the early-life microbiome to childhood atopy and asthma development.Seminars in immunology · 2023Review
- Epigenome-Wide Association Studies of the Fractional Exhaled Nitric Oxide and Bronchodilator Drug Response in Moderate-to-Severe Pediatric Asthma.Biomedicines · 2023Article
- Recent progress in the genetic and epigenetic underpinnings of atopy.The Journal of allergy and clinical immunology · 2023Review
- Article
- Determining asthma endotypes and outcomes: Complementing existing clinical practice with modern machine learning.Cell reports. Medicine · 2022Review
- Unraveling the genetic architecture of asthma.Annals of translational medicine · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
Abstract
Genome-wide association studies (GWAS) of asthma have yielded exciting results and identified novel risk alleles and loci. But, like other common complex diseases, asthma-associated alleles have small effect sizes and account for little of the prevalence of asthma. In this review, I discuss the limitations of GWAS approaches and the major challenges facing geneticists in the post-GWAS era and propose alternative strategies to address these challenges. In particular, I propose that focusing on genetic variations that influences gene expression and using cell models of gene-environment interactions in cell types that are relevant to asthma will allow us to more completely characterize the genetic architecture of asthma.
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.