Literature DB >> 12049172

Progress in high throughput SNP genotyping methods.

Z Tsuchihashi1, N C Dracopoli.   

Abstract

Most current single nucleotide polymorphism (SNP) genotyping methods are still too slow and expensive for routine use in large association studies with hundreds or more SNPs in a large number of DNA samples. However, SNP genotyping technology is rapidly progressing with the emergence of novel, faster and cheaper methods as well as improvements in the existing methods. In this review, we focus on technologies aimed at high throughput uses, and discuss the technical advances made in this field in the last few years. The rapid progress in technology, in combination with the discovery of millions of SNPs and the development of the human haplotype map, may enable whole genome association studies to be initiated in the near future.

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Year:  2002        PMID: 12049172     DOI: 10.1038/sj.tpj.6500094

Source DB:  PubMed          Journal:  Pharmacogenomics J        ISSN: 1470-269X            Impact factor:   3.550


  37 in total

1.  DASH-2: flexible, low-cost, and high-throughput SNP genotyping by dynamic allele-specific hybridization on membrane arrays.

Authors:  Magnus Jobs; W Mathias Howell; Linda Stromqvist; Torsten Mayr; Anthony J Brookes
Journal:  Genome Res       Date:  2003-05       Impact factor: 9.043

2.  A 3.9-centimorgan-resolution human single-nucleotide polymorphism linkage map and screening set.

Authors:  Tara C Matise; Ravi Sachidanandam; Andrew G Clark; Leonid Kruglyak; Ellen Wijsman; Jerzy Kakol; Steven Buyske; Buena Chui; Patrick Cohen; Claudia de Toma; Margaret Ehm; Stephen Glanowski; Chunsheng He; Jeremy Heil; Kyriacos Markianos; Ivy McMullen; Margaret A Pericak-Vance; Arkadiy Silbergleit; Lincoln Stein; Michael Wagner; Alexander F Wilson; Jeffrey D Winick; Emily S Winn-Deen; Carl T Yamashiro; Howard M Cann; Eric Lai; Arthur L Holden
Journal:  Am J Hum Genet       Date:  2003-07-03       Impact factor: 11.025

3.  A microarray-based high throughput molecular marker genotyping method: the tagged microarray marker (TAM) approach.

Authors:  Andrew J Flavell; Viacheslav N Bolshakov; Allan Booth; Runchun Jing; Joanne Russell; T H Noel Ellis; Peter Isaac
Journal:  Nucleic Acids Res       Date:  2003-10-01       Impact factor: 16.971

4.  Locked nucleic acid (LNA) single nucleotide polymorphism (SNP) genotype analysis and validation using real-time PCR.

Authors:  Matthew P Johnson; Larisa M Haupt; Lyn R Griffiths
Journal:  Nucleic Acids Res       Date:  2004-03-26       Impact factor: 16.971

5.  Parallel genotyping of over 10,000 SNPs using a one-primer assay on a high-density oligonucleotide array.

Authors:  Hajime Matsuzaki; Halina Loi; Shoulian Dong; Ya-Yu Tsai; Joy Fang; Jane Law; Xiaojun Di; Wei-Min Liu; Geoffrey Yang; Guoying Liu; Jing Huang; Giulia C Kennedy; Thomas B Ryder; Gregory A Marcus; P Sean Walsh; Mark D Shriver; Jennifer M Puck; Keith W Jones; Rui Mei
Journal:  Genome Res       Date:  2004-03       Impact factor: 9.043

6.  GERBIL: Genotype resolution and block identification using likelihood.

Authors:  Gad Kimmel; Ron Shamir
Journal:  Proc Natl Acad Sci U S A       Date:  2004-12-22       Impact factor: 11.205

7.  A fast method for computing high-significance disease association in large population-based studies.

Authors:  Gad Kimmel; Ron Shamir
Journal:  Am J Hum Genet       Date:  2006-07-24       Impact factor: 11.025

8.  The glu298asp polymorphism in the nitric oxide synthase 3 gene is associated with the risk of ischemic stroke in two large independent case-control studies.

Authors:  Klaus Berger; Florian Stögbauer; Monika Stoll; Juergen Wellmann; Andreas Huge; Suzanne Cheng; Christof Kessler; Ulrich John; Gerd Assmann; E Bernd Ringelstein; Harald Funke
Journal:  Hum Genet       Date:  2006-12-13       Impact factor: 4.132

9.  High resolution melting analysis of almond SNPs derived from ESTs.

Authors:  Shu-Biao Wu; Michelle G Wirthensohn; Peter Hunt; John P Gibson; Margaret Sedgley
Journal:  Theor Appl Genet       Date:  2008-09-10       Impact factor: 5.699

10.  Role of pharmacogenomics in drug discovery and development.

Authors:  A Surendiran; S C Pradhan; C Adithan
Journal:  Indian J Pharmacol       Date:  2008-08       Impact factor: 1.200

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