Literature DB >> 11258199

Notes from the SNP vs. haplotype front.

R Judson1, J C Stephens.   

Abstract

Single nucleotide polymorphisms (SNPs) and haplotypes are commonly used genetic markers in clinical studies. We provide some broad guidelines for deciding which of the two is most appropriate in particular circumstances. Molecular haplotyping techniques are also briefly reviewed and contrasted with electronic approaches.

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Substances：

Year:  2001        PMID： 11258199     DOI： 10.1517/14622416.2.1.7

Source DB:  PubMed          Journal:  Pharmacogenomics        ISSN： 1462-2416            Impact factor:   2.533


  11 in total

1.  Bayesian haplotype inference for multiple linked single-nucleotide polymorphisms.

Authors:  Tianhua Niu; Zhaohui S Qin; Xiping Xu; Jun S Liu
Journal:  Am J Hum Genet       Date:  2001-11-26       Impact factor: 11.025

2.  Pharmacogenetics and pharmacogenomics: recent developments, their clinical relevance and some ethical, social, and legal implications.

Authors:  Paul W Norbert; Allen D Roses
Journal:  J Mol Med (Berl)       Date:  2003-03       Impact factor: 4.599

3.  Molecular haplotyping at high throughput.

Authors:  Jörg Tost; Ole Brandt; Francis Boussicault; David Derbala; Christophe Caloustian; Doris Lechner; Ivo Glynne Gut
Journal:  Nucleic Acids Res       Date:  2002-10-01       Impact factor: 16.971

4.  Single nucleotide polymorphism seeking long term association with complex disease.

Authors:  Brian W Kirk; Matthew Feinsod; Reyna Favis; Richard M Kliman; Francis Barany
Journal:  Nucleic Acids Res       Date:  2002-08-01       Impact factor: 16.971

5.  Large-scale single-nucleotide polymorphism (SNP) and haplotype analyses, using dense SNP Maps, of 199 drug-related genes in 752 subjects: the analysis of the association between uncommon SNPs within haplotype blocks and the haplotypes constructed with haplotype-tagging SNPs.

Authors:  Naoyuki Kamatani; Akihiro Sekine; Takuya Kitamoto; Aritoshi Iida; Susumu Saito; Akifumi Kogame; Eisuke Inoue; Manabu Kawamoto; Masayoshi Harigai; Yusuke Nakamura
Journal:  Am J Hum Genet       Date:  2004-06-16       Impact factor: 11.025

6.  A coalescence-guided hierarchical Bayesian method for haplotype inference.

Authors:  Yu Zhang; Tianhua Niu; Jun S Liu
Journal:  Am J Hum Genet       Date:  2006-06-28       Impact factor: 11.025

7.  Association of SERPINE2 gene with the risk of chronic obstructive pulmonary disease and spirometric phenotypes in northern Han Chinese population.

Authors:  Li An; Ting Yang; Yongbiao Zhang; Yingxiang Lin; Hong Zhang; Xia Jiao; Lin Hua; Huaping Dai; Chen Wang
Journal:  Mol Biol Rep       Date:  2011-05-25       Impact factor: 2.316

Review 8.  A comprehensive literature review of haplotyping software and methods for use with unrelated individuals.

Authors:  Rany M Salem; Jennifer Wessel; Nicholas J Schork
Journal:  Hum Genomics       Date:  2005-03       Impact factor: 4.639

9.  SERPINE2 polymorphisms and chronic obstructive pulmonary disease.

Authors:  Seung Ick Cha; Hyo-Gyoung Kang; Jin Eun Choi; Min Jung Kim; Jaeho Park; Won Kee Lee; Chang Ho Kim; Tae Hoon Jung; Jae Yong Park
Journal:  J Korean Med Sci       Date:  2009-11-09       Impact factor: 2.153

10.  Polymorphisms in the epidermal growth factor receptor gene and the risk of primary lung cancer: a case-control study.

Authors:  Jin Eun Choi; Sun Ha Park; Kyung Mee Kim; Won Kee Lee; Sin Kam; Sung Ick Cha; Chang Ho Kim; Young Mo Kang; Young-Chul Kim; Sung Beom Han; Tae Hoon Jung; Jae Yong Park
Journal:  BMC Cancer       Date:  2007-10-24       Impact factor: 4.430
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