Evidence map›Paper›PMID 26557257›Full record

ReviewEuropean clinical respiratory journal2015

Genetics of asthma: an introduction for the clinician.

Simon F Thomsen

Abstract readReview
In one paragraph

Review in European clinical respiratory journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 2 pooled it
–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

52 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. 4-Hydroxynonenal, a Potential Biomarker for Lung Inflammatory Diseases.International journal of molecular sciences · 2026
    Review
  5. Asthma in African children and adolescents: Burden, barriers, and management strategies.African journal of thoracic and critical care medicine · 2026
    Review
  6. Airway mucus in infection.Frontiers in physiology · 2026
    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

1 author.

Simon F ThomsenDepartment of Dermatology, Bispebjerg Hospital, Copenhagen NV, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Asthma runs in families, and children of asthmatic parents are at increased risk of asthma. Prediction of disease risk is pivotal for the clinician when counselling atopic families. However, this is not always an easy task bearing in mind the vast and ever-increasing knowledge about asthma genetics. The advent of new genotyping technologies has made it possible to sequence in great detail the human genome for asthma-associated variants, and accordingly, recent decades have witnessed an explosion in the number of rare and common variants associated with disease risk. This review presents an overview of methods and advances in asthma genetics in an attempt to help the clinician keep track of the most important knowledge in the field.

Indexed as

association analysisasthmaepigeneticsgene discoverygenetic epidemiologygeneticslinkage analysispharmacogenetics

Identifiers

PMID26557257
PMCPMC4629762

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.