BMC Medical Genetics · 2011 · 27 citations · 50 references
Life SciencesGeneticsMolecular GeneticsAllergyHuman GeneticsPediatric AllergyFood AllergyGenetic Risk FactorsGenetic SusceptibilityGenome-wide Association StudiesGenotype-phenotype Association AnalysisHaplotype AnalysisGenetic Association AnalysisGenetic Susceptibility To AllergyGenotype-phenotype AssociationsHaplotype-based Association AnalysisHaplotype-phenotype AssociationsPopulation Genetic AssociationRisk Score DevelopmentSingle-nucleotide Polymorphism Association Analysis
BACKGROUND: Asthma and allergy represent complex phenotypes, which disproportionately burden ethnic minorities in the United States. Strong evidence for genomic factors predisposing subjects to asthma/allergy is available. However, methods to utilize this information to identify high risk groups are variable and replication of genetic associations in African Americans is warranted. METHODS: We evaluated 41 single nucleotide polymorphisms (SNP) and a deletion corresponding to 11 genes demonstrating association with asthma in the literature, for association with asthma, atopy, testing positive for food allergens, eosinophilia, and total serum IgE among 141 African American children living in Detroit, Michigan. Independent SNP and haplotype associations were investigated for association with each trait, and subsequently assessed in concert using a genetic risk score (GRS). RESULTS: Statistically significant associations with asthma were observed for SNPs in GSTM1, MS4A2, and GSTP1 genes, after correction for multiple testing. Chromosome 11 haplotype CTACGAGGCC (corresponding to MS4A2 rs574700, rs1441586, rs556917, rs502581, rs502419 and GSTP1 rs6591256, rs17593068, rs1695, rs1871042, rs947895) was associated with a nearly five-fold increase in the odds of asthma (Odds Ratio (OR) = 4.8, p = 0.007). The GRS was significantly associated with a higher odds of asthma (OR = 1.61, 95% Confidence Interval = 1.21, 2.13; p = 0.001). CONCLUSIONS: Variation in genes associated with asthma in predominantly non-African ethnic groups contributed to increased odds of asthma in this African American study population. Evaluating all significant variants in concert helped to identify the highest risk subset of this group.
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R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 353K citations · Full text
Natural Sciences, Computer Science, Statistical Computing +10
Haploview: analysis and visualization of LD and haplotype maps
Jeffrey C. Barrett, Ben Fry, Julian Maller et al. · Bioinformatics · 2004 · 14.7K citations · Full text