Evaluation of resequencing on number of tag SNPs of 13 atherosclerosis-related genes in Thai population
| Autor: | Anavaj Sakuntabhai, Wasun Chantratita, Dianna Zelenika, Sissades Tongsima, Somying Promso, Thanyachai Sura, Fumihiko Matsuda, Sean D. Mooney, Tassanee Lowhnoo, Chintana Tocharoentanaphol |
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| Rok vydání: | 2007 |
| Předmět: |
Genetics
Candidate gene Models Genetic Haplotype Black People Genetic Variation Single-nucleotide polymorphism Sequence Analysis DNA Tag SNP Biology Atherosclerosis Thailand Polymorphism Single Nucleotide Linkage Disequilibrium SNP genotyping Genetics Population Gene Frequency Humans Allele Allele frequency Genetics (clinical) Genetic association Sequence Tagged Sites |
| Zdroj: | Journal of human genetics. 53(1) |
| ISSN: | 1434-5161 |
| Popis: | In the candidate gene approach, information about the distribution of single nucleotide polymorphisms (SNPs) is a crucial requirement for choosing efficient markers necessary for a case-control association study. To obtain such information, we discovered SNPs in 13 genes related to atherosclerosis by resequencing exon-flanking regions of 32 healthy Thai individuals. In total, 194 polymorphisms were identified, 184 of them SNPs, four insertions, and the rest deletions. Fifty-nine of the SNPs were characterized as novel polymorphisms, and these accounted for 30% of the identified SNPs. Comparing allele frequency distributions of the Thai population with other Asian populations shows similar patterns. In contrast, a low correlation pattern (r = 0.521) was found when comparing with either Caucasian or African populations. However, some rare alleles (rs11574541 and rs10874913) are found in the Thai population but not in other Asian populations. Most of the novel SNPs found were located outside the haplotype blocks generated by known SNPs in the Thai population. Only 5.77% of the novel SNPs lies in these defined haplotype blocks. The selection of haplotype-tagging SNPs shows that 8 of 13 genes benefited from the ethnic-specific genotype information. That is, when at least one novel SNP was present, the tagging SNPs chosen were altered. Functional prediction of 16 nonsynonymous SNPs (nsSNPs) by three different algorithm tools demonstrated that five nsSNPs possibly alter their corresponding protein functions. These results provide necessary information for conducting further genetic association studies involving the Thai population and demonstrate that resequencing of candidate genes provides more complete information for full genetic studies. |
| Databáze: | OpenAIRE |
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