Literature DB >> 17154653

A case study of the utility of the HapMap database for pharmacogenomic haplotype analysis in the Taiwanese population.

Eugene Lin1, Yuchi Hwang, Chi-Meng Tzeng.   

Abstract

BACKGROUND: Single nucleotide polymorphisms (SNPs) can be used in clinical association studies to determine the contribution of genes to drug efficacy. The goal of this work was to evaluate the feasibility of using SNP information of the Han Chinese in Beijing (CHB) population from the HapMap database for clinical association studies in the Taiwanese (TWN) population.
METHODS: We compared the HapMap populations with our TWN study population with regard to allele frequencies for common SNPs in two candidate genes for antidepressant treatment response to determine the applicability of the HapMap CHB data for SNP selection in the TWN population. RESULTS AND
CONCLUSION: Our preliminary results suggest that there was no significant difference, in terms of allele and haplotype frequencies, between the CHB population of the HapMap database and the TWN population collected by Vita Genomics Inc. Therefore, it is possible to use the CHB population of the HapMap database for SNP selection in association studies for the TWN population. Using haplotype analysis, we generated a panel of SNPs that may be strongly relevant to antidepressant response in this population.

Mesh:

Year:  2006        PMID: 17154653     DOI: 10.1007/BF03256213

Source DB:  PubMed          Journal:  Mol Diagn Ther        ISSN: 1177-1062            Impact factor:   4.074


  14 in total

1.  The structure of haplotype blocks in the human genome.

Authors:  Stacey B Gabriel; Stephen F Schaffner; Huy Nguyen; Jamie M Moore; Jessica Roy; Brendan Blumenstiel; John Higgins; Matthew DeFelice; Amy Lochner; Maura Faggart; Shau Neen Liu-Cordero; Charles Rotimi; Adebowale Adeyemo; Richard Cooper; Ryk Ward; Eric S Lander; Mark J Daly; David Altshuler
Journal:  Science       Date:  2002-05-23       Impact factor: 47.728

2.  Distribution of recombination crossovers and the origin of haplotype blocks: the interplay of population history, recombination, and mutation.

Authors:  Ning Wang; Joshua M Akey; Kun Zhang; Ranajit Chakraborty; Li Jin
Journal:  Am J Hum Genet       Date:  2002-10-15       Impact factor: 11.025

Review 3.  The pharmacogenomics of selective serotonin reuptake inhibitors.

Authors:  A Serretti; P Artioli
Journal:  Pharmacogenomics J       Date:  2004       Impact factor: 3.550

4.  Haploview: analysis and visualization of LD and haplotype maps.

Authors:  J C Barrett; B Fry; J Maller; M J Daly
Journal:  Bioinformatics       Date:  2004-08-05       Impact factor: 6.937

5.  Whole-genome patterns of common DNA variation in three human populations.

Authors:  David A Hinds; Laura L Stuve; Geoffrey B Nilsen; Eran Halperin; Eleazar Eskin; Dennis G Ballinger; Kelly A Frazer; David R Cox
Journal:  Science       Date:  2005-02-18       Impact factor: 47.728

6.  A comparison of linkage disequilibrium measures for fine-scale mapping.

Authors:  B Devlin; N Risch
Journal:  Genomics       Date:  1995-09-20       Impact factor: 5.736

7.  Tryptophan hydroxylase gene associated with paroxetine antidepressant activity.

Authors:  A Serretti; R Zanardi; C Cusin; D Rossini; C Lorenzi; E Smeraldi
Journal:  Eur Neuropsychopharmacol       Date:  2001-10       Impact factor: 4.600

8.  Influence of tryptophan hydroxylase and serotonin transporter genes on fluvoxamine antidepressant activity.

Authors:  A Serretti; R Zanardi; D Rossini; C Cusin; R Lilli; E Smeraldi
Journal:  Mol Psychiatry       Date:  2001-09       Impact factor: 15.992

9.  Haplotype analysis reveals tryptophan hydroxylase (TPH) 1 gene variants associated with major depression.

Authors:  Rinat Gizatullin; Ghazal Zaboli; Erik G Jönsson; Marie Asberg; Rosario Leopardi
Journal:  Biol Psychiatry       Date:  2005-09-13       Impact factor: 13.382

10.  Pharmacogenetics of antidepressant medication intolerance.

Authors:  Greer M Murphy; Charlotte Kremer; Heidi E Rodrigues; Alan F Schatzberg
Journal:  Am J Psychiatry       Date:  2003-10       Impact factor: 18.112

View more
  6 in total

Review 1.  Assessing gene-gene interactions in pharmacogenomics.

Authors:  Hsien-Yuan Lane; Guochuan E Tsai; Eugene Lin
Journal:  Mol Diagn Ther       Date:  2012-02-01       Impact factor: 4.074

2.  A support vector machine approach to assess drug efficacy of interferon-alpha and ribavirin combination therapy.

Authors:  Eugene Lin; Yuchi Hwang
Journal:  Mol Diagn Ther       Date:  2008       Impact factor: 4.074

3.  Identification of significant genes in genomics using Bayesian variable selection methods.

Authors:  Eugene Lin; Lung-Cheng Huang
Journal:  Adv Appl Bioinform Chem       Date:  2008-07-01

Review 4.  Machine learning and systems genomics approaches for multi-omics data.

Authors:  Eugene Lin; Hsien-Yuan Lane
Journal:  Biomark Res       Date:  2017-01-20

5.  A comparison of classification methods for predicting Chronic Fatigue Syndrome based on genetic data.

Authors:  Lung-Cheng Huang; Sen-Yen Hsu; Eugene Lin
Journal:  J Transl Med       Date:  2009-09-22       Impact factor: 5.531

6.  Association study of a brain-derived neurotrophic-factor polymorphism and short-term antidepressant response in major depressive disorders.

Authors:  Eugene Lin; Po See Chen; Lung-Cheng Huang; Sen-Yen Hsu
Journal:  Pharmgenomics Pers Med       Date:  2008-10-21
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.