Evidence map›Paper›PMID 18253752›Full record

Trial reportHuman genetics2008

A genome-wide association scan for asthma in a general Australian population.

J Hui, A Oka, A James, L J Palmer, A W Musk, J Beilby, H Inoko

Abstract readRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in Human genetics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Genome-wide association studies in the genetics of asthma.Current allergy and asthma reports · 2009
    Review
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.

J HuiWestern Australian Institute for Medical Research and UWA Centre for Medical Research, B Block, QEII Medical Centre, The University of Western Australia, Nedlands, WA, 6009, Australia. jhui@cyllene.uwa.edu.au
A Oka
A James
L J Palmer
A W Musk
J Beilby
H Inoko

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To date, almost every chromosome has been implicated in genetic susceptibility to asthma to some degree. When compared with single nucleotide polymorphism, microsatellite markers exhibit high levels of heterozygosity and therefore provide higher statistical power in association. The objective of this study was to perform a genome-wide association study using 23,465 in-house microsatellite markers to detect asthma susceptibility regions in the Busselton population. In this study, three separate pooled DNA screenings yielded 18 markers with significantly different estimated frequencies in the three separate "case and control" pools: each pool consisting of 60 males and 60 females. These markers were evaluated by individual typing in 360 cases and 360 controls. Two markers showed significant differences between cases and controls (P = 0.001 and P = 0.003). Regions surrounding the two markers were subjected to high-density association mapping with a total of 14 additional markers. We were able to confirm and fine map the association in these two regions by typing 14 additional microsatellite markers (1805A09 (D18S0325i), P = 0.002; 1806D05 (D18S0181i), P = 0.001). Each region contains a predicted gene that showed strong associations with asthma. Further studies are underway to characterize the novel candidate asthma susceptibility genes identified in this genome-wide study.

Indexed as

Genetic Predisposition to DiseaseGenome, HumanAdultAsthmaAustraliaCase-Control StudiesChromosome MappingChromosomes, Human, Pair 18Cross-Sectional StudiesDNA PrimersFemaleFollow-Up StudiesGenetic LinkageGenotypeHealth SurveysHumansDNA Primers

Identifiers

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.