ReviewThe Lancet. Respiratory medicine2014
Asthma genetics and personalised medicine.
Review in The Lancet. Respiratory medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 3 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
54 citing papers in PubMed, 3 syntheses or guidelines pooled it, 114 citations in OpenAlex.
- Effectiveness and safety of acupuncture and related therapies for pediatric asthma: a systematic review and meta-analysis.Frontiers in medicine · 2025Pooled it
- A Research Agenda for Precision Medicine in Sepsis and Acute Respiratory Distress Syndrome: An Official American Thoracic Society Research Statement.American journal of respiratory and critical care medicine · 2021Guideline
- Systematic Literature Review of Systemic Corticosteroid Use for Asthma Management.American journal of respiratory and critical care medicine · 2020Pooled it
- Genome-wide burden and association analyses implicate copy number variations in asthma risk among children and young adults from Latin America.Scientific reports · 2018Trial
- Article
- Key priorities to prevent avoidable asthma hospitalisations: insights from end-users.ERJ open research · 2026Article
- Article
- Gene-Air Pollution Interaction and Diversity of Genetic Sampling: The Southern California Children's Health Study.Genetic epidemiology · 2025Article
- Asthma exacerbations and eosinophilia in the UK Biobank: a genome-wide association study.ERJ open research · 2024Article
- Single‑nucleotide polymorphism rs6592645 confers asthma risk through regulatingExperimental and therapeutic medicine · 2023Article
- Inhaled drug delivery for the targeted treatment of asthma.Advanced drug delivery reviews · 2023Review
- Assessing the Impact of Health Education Intervention on Asthma Knowledge, Attitudes, and Practices: A Cross-Sectional Study in Erbil, Iraq.Healthcare (Basel, Switzerland) · 2023Article
- Trend of asthma prevalence and risk factors in the 20s age band in South Korea.Journal of thoracic disease · 2023Article
- Heterogeneity of Treatment Response to Asthma.Advances in experimental medicine and biology · 2023Article
- Metabolomic profiling reveals extensive adrenal suppression due to inhaled corticosteroid therapy in asthma.Nature medicine · 2022Article
- Integration of Genomic Risk Scores to Improve the Prediction of Childhood Asthma Diagnosis.Journal of personalized medicine · 2022Article
- Dietary Fibers: Effects, Underlying Mechanisms and Possible Role in Allergic Asthma Management.Nutrients · 2021Review
- Bird's eye overview of asthma in children.The Indian journal of medical research · 2021Article
- Association of vitamin D receptor gene polymorphisms in North Indian children with asthma: a case-control study.International journal of molecular epidemiology and genetics · 2021Article
- Expansion of different subpopulations of CD26Scientific reports · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
Unbiased genetic approaches, especially genome-wide association studies, have identified novel genetic targets in the pathogenesis of asthma, but so far these targets account for only a small proportion of the heritability of asthma. Recognition of the importance of disease heterogeneity, the need for improved disease phenotyping, and the fact that genes involved in the inception of asthma are likely to be different from those involved in severity widens the scope of asthma genetics. The identification of genes implicated in several causal pathways suggests that genetic scores could be used to capture the effect of genetic variations on individuals. Gene-environment interaction adds another layer of complexity, which is being successfully explored by epigenetic approaches. Pharmacogenetics is one example of how gene-environment interactions are already being taken into account in the identification of drug responders and non-responders, and patients most susceptible to adverse effects. Such applications represent one component of personalised medicine, an approach that places the individual at the centre of health care.
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.