Evidence map›Paper›PMID 21232051›Full record

ReviewBritish journal of pharmacology2011

Genetics of complex respiratory diseases: implications for pathophysiology and pharmacology studies.

Ma'en Obeidat, Ian P Hall

Abstract readReview
In one paragraph

Review in British journal of pharmacology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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

9 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Special issue of BJP on respiratory pharmacology.British journal of pharmacology · 2011
    Article
  9. Article
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

2 authors.

Ma'en ObeidatDivision of Therapeutics and Molecular Medicine, Nottingham Respiratory Biomedical Research Unit, University of Nottingham, UK.
Ian P Hall

Funding

Medical Research Council
6 · The paper itself

Abstract

There has been a huge influx of data on the genetics and genomics of respiratory diseases in the last few years. Powered by large sample sizes from collaborations worldwide, recent genome-wide association studies have convincingly implicated variants in different regions in the genome for association with complex respiratory traits. These new associations have the potential to offer invaluable insight into the pathophysiology of the normal and diseased respiratory system. The functional mechanisms underlying effects of both identified and novel variants will be the focus of research over the next few years. The identification of these mechanisms will not only increase our understanding of disease but may allow the development of new therapies to alleviate respiratory conditions. The implications of these approaches for studies of asthma and Chronic Obstructive Pulmonary Disease are covered in this review.

Indexed as

AnimalsAsthmaGenome-Wide Association StudyHumansPulmonary Disease, Chronic Obstructive

Identifiers

PMID21232051
PMCPMC3085871

What OpenQuestion holds

Textmetadata
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.