Literature DB >> 12746733

Single nucleotide polymorphism genotyping: biochemistry, protocol, cost and throughput.

X Chen1, P F Sullivan.   

Abstract

The large number of single nucleotide polymorphism (SNP) markers available in the public databases makes studies of association and fine mapping of disease loci very practical. To provide information for researchers who do not follow SNP genotyping technologies but need to use them for their research, we review here recent developments in the fields. We start with a general description of SNP typing protocols and follow this with a summary of current methods for each step of the protocol and point out the unique features and weaknesses of these techniques as well as comparing the cost and throughput structures of the technologies. Finally, we describe some popular techniques and the applications that are suitable for these techniques.

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Year:  2003        PMID: 12746733     DOI: 10.1038/sj.tpj.6500167

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


  57 in total

1.  Conference report--genomics: the promise of SNPs and bats highlights of the ABRF 2004--integrating technologies in proteomics and genomics; February 28-March 2, 2004; Portland, Oregon.

Authors:  Sara M Mariani
Journal:  MedGenMed       Date:  2004-04-19

Review 2.  Cystic fibrosis modifier genes.

Authors:  Jane Davies; Eric Alton; Uta Griesenbach
Journal:  J R Soc Med       Date:  2005       Impact factor: 5.344

Review 3.  Prospects and pitfalls in whole genome association studies.

Authors:  Robert W Lawrence; David M Evans; Lon R Cardon
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2005-08-29       Impact factor: 6.237

4.  The SNPlex genotyping system: a flexible and scalable platform for SNP genotyping.

Authors:  Andreas R Tobler; Sabine Short; Mark R Andersen; Teodoro M Paner; Jason C Briggs; Stephen M Lambert; Priscilla P Wu; Yiwen Wang; Alexander Y Spoonde; Ryan T Koehler; Nicolas Peyret; Caifu Chen; Adam J Broomer; Dana A Ridzon; Hui Zhou; Bradley S Hoo; Kathleen C Hayashibara; Lilley N Leong; Congcong N Ma; Barnet B Rosenblum; Joseph P Day; Janet S Ziegle; Francisco M De La Vega; Michael D Rhodes; Kevin M Hennessy; H Michael Wenz
Journal:  J Biomol Tech       Date:  2005-12

Review 5.  Marker-assisted selection: an approach for precision plant breeding in the twenty-first century.

Authors:  Bertrand C Y Collard; David J Mackill
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2008-02-12       Impact factor: 6.237

6.  Exploring of new Y-chromosome SNP loci using Pyrosequencing and the SNaPshot methods.

Authors:  Wei Wei; Hai-Bo Luo; Jing Yan; Yi-Ping Hou
Journal:  Int J Legal Med       Date:  2011-07-21       Impact factor: 2.686

Review 7.  Loop Mediated Isothermal Amplification: A Promising Tool for Screening Genetic Mutations.

Authors:  Arjuna Srividya; Biswajit Maiti; Anirban Chakraborty; Gunimala Chakraborty
Journal:  Mol Diagn Ther       Date:  2019-12       Impact factor: 4.074

Review 8.  Applications of computational algorithm tools to identify functional SNPs.

Authors:  C George Priya Doss; C Sudandiradoss; R Rajasekaran; Parikshit Choudhury; Priyanka Sinha; Pragnya Hota; Udit Prakash Batra; Sethumadhavan Rao
Journal:  Funct Integr Genomics       Date:  2008-06-19       Impact factor: 3.410

9.  Microfluidic platform for single nucleotide polymorphism genotyping of the thiopurine S-methyltransferase gene to evaluate risk for adverse drug events.

Authors:  Jeeshan Chowdhury; Govind V Kaigala; Sudeep Pushpakom; Jana Lauzon; Alistair Makin; Alexey Atrazhev; Alex Stickel; William G Newman; Christopher J Backhouse; Linda M Pilarski
Journal:  J Mol Diagn       Date:  2007-08-09       Impact factor: 5.568

10.  High-throughput single nucleotide polymorphism genotyping using nanofluidic Dynamic Arrays.

Authors:  Jun Wang; Min Lin; Andrew Crenshaw; Amy Hutchinson; Belynda Hicks; Meredith Yeager; Sonja Berndt; Wen-Yi Huang; Richard B Hayes; Stephen J Chanock; Robert C Jones; Ramesh Ramakrishnan
Journal:  BMC Genomics       Date:  2009-11-28       Impact factor: 3.969

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