Literature DB >> 18043865

Evaluation of resequencing on number of tag SNPs of 13 atherosclerosis-related genes in Thai population.

Chintana Tocharoentanaphol1,2, Somying Promso3,4, Dianna Zelenika5, Tassanee Lowhnoo5,6, Sissades Tongsima7, Thanyachai Sura8, Wasun Chantratita3, Fumihiko Matsuda5, Sean Mooney4, Anavaj Sakuntabhai8,9.   

Abstract

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.

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Year:  2007        PMID: 18043865     DOI: 10.1007/s10038-007-0220-8

Source DB:  PubMed          Journal:  J Hum Genet        ISSN: 1434-5161            Impact factor:   3.172


  35 in total

1.  Association of genetic variants in the HDL receptor, SR-B1, with abnormal lipids in women with coronary artery disease.

Authors:  J J McCarthy; T Lehner; C Reeves; D J Moliterno; L K Newby; W J Rogers; E J Topol
Journal:  J Med Genet       Date:  2003-06       Impact factor: 6.318

2.  A haplotype map of the human genome.

Authors: 
Journal:  Nature       Date:  2005-10-27       Impact factor: 49.962

3.  Automated identification of single nucleotide polymorphisms from sequencing data.

Authors:  Masazumi Takahashi; Fumihiko Matsuda; Nino Margetic; Mark Lathrop
Journal:  Proc IEEE Comput Soc Bioinform Conf       Date:  2002

4.  The contribution of individual and pairwise combinations of SNPs in the APOA1 and APOC3 genes to interindividual HDL-C variability.

Authors:  C M Brown; T J Rea; S C Hamon; J E Hixson; E Boerwinkle; A G Clark; C F Sing
Journal:  J Mol Med (Berl)       Date:  2006-05-17       Impact factor: 4.599

5.  Apolipoprotein A1 genotype affects the change in high density lipoprotein cholesterol subfractions with exercise training.

Authors:  Gualberto Ruaño; Richard L Seip; Andreas Windemuth; Stefan Zöllner; Gregory J Tsongalis; Jose Ordovas; James Otvos; Cherie Bilbie; Mary Miles; Robert Zoeller; Paul Visich; Paul Gordon; Theodore J Angelopoulos; Linda Pescatello; Niall Moyna; Paul D Thompson
Journal:  Atherosclerosis       Date:  2005-07-07       Impact factor: 5.162

Review 6.  The role of transforming growth factor-beta in atherosclerosis.

Authors:  Nishi N Singh; Dipak P Ramji
Journal:  Cytokine Growth Factor Rev       Date:  2006-10-23       Impact factor: 7.638

7.  A novel endothelial-derived lipase that modulates HDL metabolism.

Authors:  M Jaye; K J Lynch; J Krawiec; D Marchadier; C Maugeais; K Doan; V South; D Amin; M Perrone; D J Rader
Journal:  Nat Genet       Date:  1999-04       Impact factor: 38.330

Review 8.  The Swiss-Prot protein knowledgebase and ExPASy: providing the plant community with high quality proteomic data and tools.

Authors:  Michel Schneider; Michael Tognolli; Amos Bairoch
Journal:  Plant Physiol Biochem       Date:  2004-12-15       Impact factor: 4.270

9.  Human non-synonymous SNPs: server and survey.

Authors:  Vasily Ramensky; Peer Bork; Shamil Sunyaev
Journal:  Nucleic Acids Res       Date:  2002-09-01       Impact factor: 16.971

10.  SNP haplotype tagging from DNA pools of two individuals.

Authors:  Josephine Hoh; Fumihiko Matsuda; Xu Peng; Daniela Markovic; Mark G Lathrop; Jurg Ott
Journal:  BMC Bioinformatics       Date:  2003-04-22       Impact factor: 3.169

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  6 in total

1.  Next generation tools for the annotation of human SNPs.

Authors:  Rachel Karchin
Journal:  Brief Bioinform       Date:  2009-01       Impact factor: 11.622

2.  Resequencing DCDC5 in the Flanking Region of an LD-SNP Derived from a Kidney-Yang Deficiency Syndrome Family.

Authors:  Li Ping Zhou; Wei Wei Liu; Tian E Zhang; Wei Hong Li; Ling Ling Tan; Wan Zhen Li; Yu Hua Qin; Hong Ya Yang; Azure Duan; Mi Qu Wang; Wei Jun Ding
Journal:  Evid Based Complement Alternat Med       Date:  2011-05-05       Impact factor: 2.629

3.  Clinical performance of DNA-based prenatal screening using single-nucleotide polymorphisms approach in Thai women with singleton pregnancy.

Authors:  Tachjaree Panchalee; Naravat Poungvarin; Warisa Amornrit; Julaporn Pooliam; Pattarawalai Taluengjit; Tuangsit Wataganara
Journal:  Mol Genet Genomic Med       Date:  2020-04-24       Impact factor: 2.183

4.  VarDetect: a nucleotide sequence variation exploratory tool.

Authors:  Chumpol Ngamphiw; Supasak Kulawonganunchai; Anunchai Assawamakin; Ekachai Jenwitheesuk; Sissades Tongsima
Journal:  BMC Bioinformatics       Date:  2008-12-12       Impact factor: 3.169

Review 5.  Outlook on Thailand's genomics and computational biology research and development.

Authors:  Wannipha Tongsima; Sissades Tongsima; Prasit Palittapongarnpim
Journal:  PLoS Comput Biol       Date:  2008-07-25       Impact factor: 4.475

Review 6.  Genomic medicine and developing countries: creating a room of their own.

Authors:  Béatrice Séguin; Billie-Jo Hardy; Peter A Singer; Abdallah S Daar
Journal:  Nat Rev Genet       Date:  2008-06       Impact factor: 53.242

  6 in total

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