학술논문
Identification of KIF3A as a novel candidate gene for childhood asthma using RNA expression and population allelic frequencies differences.
Document Type
article
Author
Melinda Butsch Kovacic; Jocelyn M Biagini Myers; Ning Wang; Lisa J Martin; Mark Lindsey; Mark B Ericksen; Hua He; Tia L Patterson; Tesfaye M Baye; Dara Torgerson; Lindsey A Roth; Jayanta Gupta; Umasundari Sivaprasad; Aaron M Gibson; Anna M Tsoras; Donglei Hu; Celeste Eng; Rocío Chapela; José R Rodríguez-Santana; William Rodríguez-Cintrón; Pedro C Avila; Kenneth Beckman; Max A Seibold; Chris Gignoux; Salma M Musaad; Weiguo Chen; Esteban González Burchard; Gurjit K Khurana Hershey
Source
PLoS ONE, Vol 6, Iss 8, p e23714 (2011)
Subject
Language
English
ISSN
1932-6203
Abstract
Asthma is a chronic inflammatory disease with a strong genetic predisposition. A major challenge for candidate gene association studies in asthma is the selection of biologically relevant genes.Using epithelial RNA expression arrays, HapMap allele frequency variation, and the literature, we identified six possible candidate susceptibility genes for childhood asthma including ADCY2, DNAH5, KIF3A, PDE4B, PLAU, SPRR2B. To evaluate these genes, we compared the genotypes of 194 predominantly tagging SNPs in 790 asthmatic, allergic and non-allergic children. We found that SNPs in all six genes were nominally associated with asthma (p