ArticlePloS one2008
Genes to diseases (G2D) computational method to identify asthma candidate genes.
Article in PloS one, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 39 citations in OpenAlex.
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- Intellectual disability: dendritic anomalies and emerging genetic perspectives.Acta neuropathologica · 2021Review
- Association of Night Shift Work With Chronic Spontaneous Urticaria and Effect Modification by Circadian Dysfunction Among Workers.Frontiers in public health · 2021Article
- Classification of Pediatric Asthma: From Phenotype Discovery to Clinical Practice.Frontiers in pediatrics · 2018Review
- Mapping genetic determinants of host susceptibility to Pseudomonas aeruginosa lung infection in mice.BMC genomics · 2016Article
- Network-based analysis of genome wide association data provides novel candidate genes for lipid and lipoprotein traits.Molecular & cellular proteomics : MCP · 2013Article
- Rank-based genome-wide analysis reveals the association of ryanodine receptor-2 gene variants with childhood asthma among human populations.Human genomics · 2013Article
- Adam8 limits the development of allergic airway inflammation in mice.Journal of immunology (Baltimore, Md. : 1950) · 2013Article
- Child abuse and epigenetic mechanisms of disease risk.American journal of preventive medicine · 2013Article
- Computational tools for prioritizing candidate genes: boosting disease gene discovery.Nature reviews. Genetics · 2012Review
- Role of ADAM and ADAMTS metalloproteinases in airway diseases.Respiratory research · 2009Review
- Linking genes to diseases: it's all in the data.Genome medicine · 2009Article
- ADAM8: a new therapeutic target for asthma.Expert opinion on therapeutic targets · 2009Review
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Authors and funding
10 authors at 7 institutions in 3 countries.
Funding
Abstract
Asthma is a complex trait for which different strategies have been used to identify its environmental and genetic predisposing factors. Here, we describe a novel methodological approach to select candidate genes for asthma genetic association studies. In this regard, the Genes to Diseases (G2D) computational tool has been used in combination with a genome-wide scan performed in a sub-sample of the Saguenay-Lac-St-Jean (SLSJ) asthmatic familial collection (n = 609) to identify candidate genes located in two suggestive loci shown to be linked with asthma (6q26) and atopy (10q26.3), and presenting differential parent-of-origin effects. This approach combined gene selection based on the G2D data mining analysis of the bibliographic and protein public databases, or according to the genes already known to be associated with the same or a similar phenotype. Ten genes (LPA, NOX3, SNX9, VIL2, VIP, ADAM8, DOCK1, FANK1, GPR123 and PTPRE) were selected for a subsequent association study performed in a large SLSJ sample (n = 1167) of individuals tested for asthma and atopy related phenotypes. Single nucleotide polymorphisms (n = 91) within the candidate genes were genotyped and analysed using a family-based association test. The results suggest a protective association to allergic asthma for PTPRE rs7081735 in the SLSJ sample (p = 0.000463; corrected p = 0.0478). This association has not been replicated in the Childhood Asthma Management Program (CAMP) cohort. Sequencing of the regions around rs7081735 revealed additional polymorphisms, but additional genotyping did not yield new associations. These results demonstrate that the G2D tool can be useful in the selection of candidate genes located in chromosomal regions linked to a complex trait.
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