Attempted Replication of 50 Reported Asthma Risk Genes Identifies a SNP in RAD50 as Associated with Childhood Atopic Asthma
Department of Epidemiology and Public Health, Yale University School of Public Health, New Haven, Conn., USA. Human Heredity
(Impact Factor: 1.47).
07/2011; 71(2):97-105. DOI: 10.1159/000319536
Asthma is a childhood disease that is strongly influenced by genetic factors. We sought to replicate an association between single nucleotide polymorphisms (SNPs) of the top-ranked candidate genes and childhood atopic asthma in Perinatal Risk of Asthma in Infants of Asthmatic Mothers (PRAM) study subjects.
Using data from a systematic literature search and an exploratory genome-wide association study conducted in a subset of the PRAM cohort, we followed a strict procedure to generate a ranked list of candidate genes. SNPs in the top 50 genes were genotyped in the full PRAM cohort (n = 103 cases with doc- tor-diagnosed atopic asthma at age 6, and n = 499 controls).
The literature search identified 251 prior risk genes from 469 publications. RAD50 (rs2706347) and PTPRE (rs10830196) revealed crude associations with asthma at a Bonferroni-corrected level of significance (p < 0.0011). IL4R (rs1801275), CCL5 (rs2280788), and TBXA2R (rs4523) revealed nominal significance (p < 0.05). When adjusted for race and gender, only rs2706347 in RAD50 remained significantly associated with asthma. SNPs in frequently replicated asthma risk genes, including TNF, IL13, ADAM33, TGFB1, and MS4A2, revealed no association.
RAD50 may be a promising candidate asthma risk gene. Lack of evidence of highly reported polymorphisms in the present study highlights the genetic heterogeneity of asthma and emphasizes the need for robust replication of candidate genes.
Available from: Nicole Pizzoferrato
- "We previously identified 251 asthma candidate genes from the literature . We queried the list of 38,103 variants that passed the QC filters to identify those variants that were annotated as being within or near one of these genes. "
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Despite the success of genome-wide association studies for asthma, few, if any, definitively causal variants have been identified and there is still a substantial portion of the heritability of the disease yet to be discovered. Some of this “missing heritability” may be accounted for by family-specific coding variants found to be segregating with asthma.
To identify family-specific variants segregating with asthma, we recruited one family from a previous study of asthma as reporting multiple asthmatic and non-asthmatic children. We performed whole-exome sequencing on all four children and both parents and identified coding variants segregating with asthma that were not found in other variant databases.
Ten novel variants were identified that were found in the two affected offspring and affected mother, but absent in the unaffected father and two unaffected offspring. Of these ten, variants in three genes (PDE4DIP, CBLB, and KALRN) were deemed of particular interest based on their functional prediction scores and previously reported function or asthma association. We did not identify any common risk variants segregating with asthma, however, we did observe an increase in the number of novel, nonsynonymous variants in asthma candidate genes in the asthmatic children compared to the non-asthmatic children.
This is the first report applying exome sequencing to identify asthma susceptibility variants. Despite having sequenced only one family segregating asthma, we have identified several potentially functional variants in interesting asthma candidate genes. This will provide the basis for future work in which more families will be sequenced to identify variants across families that cluster within genes.
BMC Medical Genetics 10/2012; 13(1):95. DOI:10.1186/1471-2350-13-95 · 2.08 Impact Factor
Available from: PubMed Central
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ABSTRACT: Asthma is a phenotypically diverse disease with genetic susceptibility. A single nucleotide polymorphism (SNP) in the CD14 gene at position -260 (also known as -159) C>T has been inconsistently associated with asthma. The aim of this study was to estimate the combined likelihood of developing asthma given the CD14 -260C>T genotype.
Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, a systematic search and meta-analysis of the literature was conducted to estimate the association between this SNP and asthma. Planned subgroup analyses were performed to detect potential sources of heterogeneity from selected study characteristics. Post-hoc sensitivity analysis was performed to identify studies exerting excessive influence on among-study heterogeneity and combined effects.
Meta-analysis of 23 studies yielded a non-significant overall association with high heterogeneity across studies. After restricting analysis to studies using atopic asthma and non-atopic non-asthma case-control phenotypes and excluding studies influencing heterogeneity, the genotype-specific odds ratios (ORs) suggested a codominant model. Carriers of the TT and CT genotypes were about 33% less likely (OR=0.67, 95% CI: 0.54-0.84) and about 20% less likely (OR=0.80, 95% CI: 0.66-0.95), respectively, to have atopic asthma compared to carriers of the CC genotype. Among-study heterogeneity may be explained by overly broad asthma phenotype definitions, gene-environment interactions, and gene-gene interactions.
A protective dose-response relationship between the CD14 -260T allele and atopic asthma susceptibility was observed. These results demonstrate the importance of precisely specified case-control groups as well as the need to assess interactions in the investigation of complex diseases such as asthma.
BMC Medical Genetics 07/2011; 12(1):93. DOI:10.1186/1471-2350-12-93 · 2.08 Impact Factor
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ABSTRACT: This study focuses on the participants of the Long Life Family Study to elucidate whether biogenetic mechanisms underlying relationships among heritable complex phenotypes in parents function in the same way for the same phenotypes in their children. Our results reveal 3 characteristic groups of relationships among phenotypes in parents and children. One group composed of 3 pairs of phenotypes confirms that associations among some phenotypes can be explained by the same biogenetic mechanisms working in parents and children. Two other groups including 9 phenotype pairs show that this is not a common rule. Our findings suggest that biogenetic mechanisms underlying relationships among different phenotypes, even if they are causally related, can function differently in successive generations or in different age groups of biologically related individuals. The results suggest that the role of aging-related processes in changing environment may be conceptually underestimated in current genetic association studies using genome wide resources. © 2012 © The Author 2012. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: [email protected]
The Journals of Gerontology Series A Biological Sciences and Medical Sciences 06/2012; 68(7). DOI:10.1093/gerona/gls243 · 5.42 Impact Factor
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