Evidence map›Paper›PMID 18442398›Full record

SynthesisRespiratory research2008

Meta-analysis of genome-wide linkage studies of asthma and related traits.

Samuel Denham, Gerard H Koppelman, John Blakey, Matthias Wjst, Manuel A Ferreira, Ian P Hall, Ian Sayers

Open access · goldAbstract readMeta-AnalysisReview
In one paragraph

Synthesis in Respiratory research, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 5 pooled it
6.6field-weighted citation impact, top 3% of its field
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

32 citing papers in PubMed, 5 syntheses or guidelines pooled it, 74 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Meta-analysis of genome-wide linkage scans for renal function traits.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2012
    Pooled it
  4. Pooled it
  5. Pooled it
  6. Article
  7. Article
  8. Review
  9. Review
  10. Gene-Environment Interaction between theInternational journal of environmental research and public health · 2020
    Article
  11. Article
  12. Review
  13. Article
  14. YKL-40 and genetic status of CHI3L1 in a large group of asthmatics.European clinical respiratory journal · 2015
    Article
  15. Gene susceptibility in Iranian asthmatic patients: a narrative review.Annals of medical and health sciences research · 2014
    Review
  16. Article
  17. Single nucleotide polymorphisms predisposing to asthma in children of Mauritian Indian and Chinese Han ethnicity.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2014
    Article
  18. Article
  19. Article
  20. 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

7 authors at 4 institutions in 4 countries.

Samuel DenhamDivision of Therapeutics & Molecular Medicine, University Hospital of Nottingham, Nottingham, UK. mzyysnd@exmail.nottingham.ac.uk
Gerard H Koppelman
John Blakey
Matthias Wjst
Manuel A Ferreira
Ian P Hall
Ian Sayers
Institute of Groundwater Ecology · DEMassachusetts General Hospital · USNottingham City Hospital · GBUniversity Medical Center Groningen · NL

Funding

Medical Research Council
6 · The paper itself

Abstract

backgroundAsthma and allergy are complex multifactorial disorders, with both genetic and environmental components determining disease expression. The use of molecular genetics holds great promise for the identification of novel drug targets for the treatment of asthma and allergy. Genome-wide linkage studies have identified a number of potential disease susceptibility loci but replication remains inconsistent. The aim of the current study was to complete a meta-analysis of data from genome-wide linkage studies of asthma and related phenotypes and provide inferences about the consistency of results and to identify novel regions for future gene discovery.

methodsThe rank based genome-scan meta-analysis (GSMA) method was used to combine linkage data for asthma and related traits; bronchial hyper-responsiveness (BHR), allergen positive skin prick test (SPT) and total serum Immunoglobulin E (IgE) from nine Caucasian asthma populations.

resultsSignificant evidence for susceptibility loci was identified for quantitative traits including; BHR (989 pedigrees, n = 4,294) 2p12-q22.1, 6p22.3-p21.1 and 11q24.1-qter, allergen SPT (1,093 pedigrees, n = 4,746) 3p22.1-q22.1, 17p12-q24.3 and total IgE (729 pedigrees, n = 3,224) 5q11.2-q14.3 and 6pter-p22.3. Analysis of the asthma phenotype (1,267 pedigrees, n = 5,832) did not identify any region showing genome-wide significance.

conclusionThis study represents the first linkage meta-analysis to determine the relative contribution of chromosomal regions to the risk of developing asthma and atopy. Several significant results were obtained for quantitative traits but not for asthma confirming the increased phenotype and genetic heterogeneity in asthma. These analyses support the contribution of regions that contain previously identified asthma susceptibility genes and provide the first evidence for susceptibility loci on 5q11.2-q14.3 and 11q24.1-qter.

Indexed as

AsthmaChromosome MappingClinical Trials as TopicComorbidityGenetic LinkageGenetic Predisposition to DiseaseGenome, HumanHumansHypersensitivityPrevalence

Identifiers

PMID18442398
PMCPMC2391165
OpenAlexW2163175229

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.