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Large-scale identification and characterization of genetic variants in asthma candidate genes
Authors:Jae-Jung Kim  Hyun-Hee Kim  Joo-Hyun Park  Ha-Jung Ryu  JuYoung Kim  Songmean Moon  Haeok Gu  Hung-Tae Kim  Jong-Young Lee  Bok-Ghee Han  Chan Park  Kuchan Kimm  Choon-Sik Park  Jong-Keuk Lee  Bermseok Oh
Institution:(1) National Genome Research Institute, National Institute of Health, 5 Nokbun-Dong, Eunpyung-Gu, Seoul, 122-701, South Korea;(2) Genome Research Center for Allergy and Respiratory Diseases, Soonchunhyang University Hospital, 1174 Jung-Dong, Wonmi-Gu, Bucheon, Gyeonggi-Do, 420-021, South Korea
Abstract:Asthma is a chronic inflammatory disorder of the airways, and a number of genetic loci are associated with the disease. Candidate gene association studies have been regarded as effective tools to study complex traits. Knowledge of the sequence variation and structure of the candidate genes is required for association studies. Thus, we investigated the genetic variants of 32 asthma candidate genes selected by colocalization of positional and functional candidate genes. We screened all exons and promoter regions of those genes using 12 healthy individuals and 12 asthma patients and identified a total of 418 single nucleotide polymorphisms (SNPs), including 270 known SNPs and 148 novel SNPs. Levels of nucleotide diversity varied from gene to gene (0.72×10−4–14.53×10−4), but the average nucleotide diversity between coding SNPs (cSNPs) and noncoding SNPs was roughly equivalent (4.63×10−4 vs 4.69×10−4). However, nucleotide diversity of cSNPs was strongly correlated to codon degeneracy. Nucleotide diversity was much higher at fourfold degenerate sites than at nondegenerate sites (9.42×10−4 vs 3.14×10−4). Gene-based haplotype analysis of asthma-associated genes in this study revealed that common haplotypes (frequency >5%) represented 90.5% of chromosomes, and they could be uniquely identified with five or fewer haplotype-tagging SNPs per gene. Therefore, our results may have important implications for the selection of asthma candidate genes and SNP markers for comprehensive association studies using large sample populations.
Keywords:Asthma  Candidate gene  Single nucleotide polymorphism (SNP)  Haplotype  Korean
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