Literature DB >> 16189670

Large-scale identification and characterization of genetic variants in asthma candidate genes.

Jae-Jung Kim1, 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.   

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 x 10(-4)-14.53 x 10(-4)), but the average nucleotide diversity between coding SNPs (cSNPs) and noncoding SNPs was roughly equivalent (4.63 x 10(-4) vs 4.69 x 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 x 10(-4) vs 3.14 x 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.

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Year:  2005        PMID: 16189670     DOI: 10.1007/s00251-005-0024-y

Source DB:  PubMed          Journal:  Immunogenetics        ISSN: 0093-7711            Impact factor:   2.846


  22 in total

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Authors:  L Kruglyak; D A Nickerson
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4.  Partition-ligation-expectation-maximization algorithm for haplotype inference with single-nucleotide polymorphisms.

Authors:  Zhaohui S Qin; Tianhua Niu; Jun S Liu
Journal:  Am J Hum Genet       Date:  2002-11       Impact factor: 11.025

5.  Minimal haplotype tagging.

Authors:  Paola Sebastiani; Ross Lazarus; Scott T Weiss; Louis M Kunkel; Isaac S Kohane; Marco F Ramoni
Journal:  Proc Natl Acad Sci U S A       Date:  2003-08-04       Impact factor: 11.205

6.  The effect of deleterious mutations on neutral molecular variation.

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Review 7.  Genomic approaches to understanding asthma.

Authors:  L J Palmer; W O Cookson
Journal:  Genome Res       Date:  2000-09       Impact factor: 9.043

Review 8.  Genomics and proteomics of allergic disease.

Authors:  Masako Toda; Santa Jeremy Ono
Journal:  Immunology       Date:  2002-05       Impact factor: 7.397

Review 9.  Discovering genotypes underlying human phenotypes: past successes for mendelian disease, future approaches for complex disease.

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Journal:  Nat Genet       Date:  2003-03       Impact factor: 38.330

Review 10.  Genetics and genomics of asthma and allergic diseases.

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Journal:  Immunol Rev       Date:  2002-12       Impact factor: 12.988

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  1 in total

1.  Single nucleotide polymorphisms in bone turnover-related genes in Koreans: ethnic differences in linkage disequilibrium and haplotype.

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Journal:  BMC Med Genet       Date:  2007-11-26       Impact factor: 2.103

  1 in total

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