Literature DB >> 27238579

Gene-based analysis identified the gene ZNF248 is associated with late-onset asthma in African Americans.

Leyao Wang1, Yasmmyn D Salinas1, Andrew T DeWan2.   

Abstract

BACKGROUND: Late-onset asthma (LOA) has distinct characteristics and its pathogenesis might rely on unique pathways. Although current studies are focused primarily on childhood asthma, more research is needed to show the mechanisms underlying LOA.
OBJECTIVE: To conduct genomewide association analysis and gene-based analysis to identify single-nucleotide polymorphisms and genes associated with LOA.
METHODS: The Women's Health Initiative (WHI) observational cohort and the Multi-Ethnic Study of Atherosclerosis (MESA) were used to identify subjects with LOA. The association between LOA and body mass index and smoking was evaluated. In the discovery stage of the genetic analysis, 1,218 African American subjects from WHI with genotype data (271 cases and 947 controls) were used for single-nucleotide polymorphism and gene-based association analyses. Significant or suggestive results were subsequently investigated in an independent African American population from MESA (38 cases and 806 controls).
RESULTS: In WHI, the relative odds for LOA in obese vs normal-weight subjects was 2.55 (95% confidence interval 1.74-3.76). Ever smokers also had greater odds for LOA compared with never smokers (odds ratio 1.59, 95% confidence interval 1.21-2.09). The same trends were observed in MESA. In WHI, 6 single-nucleotide polymorphisms were associated with LOA at a genomewide-suggestive significance level (P < 1.0 × 10(-5)). The gene ZNF248 was associated with LOA and reached genomewide significance (P = 4.0 × 10(-7)). In MESA, the association between ZNF248 and LOA was successfully replicated (P = .015).
CONCLUSION: Smoking and obesity are risk factors for LOA. ZNF248 confers increased susceptibility to LOA in African Americans.
Copyright © 2016 American College of Allergy, Asthma & Immunology. Published by Elsevier Inc. All rights reserved.

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Year:  2016        PMID: 27238579      PMCID: PMC5085297          DOI: 10.1016/j.anai.2016.05.005

Source DB:  PubMed          Journal:  Ann Allergy Asthma Immunol        ISSN: 1081-1206            Impact factor:   6.347


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