Literature DB >> 18839109

Medium- to high-throughput SNP genotyping using VeraCode microbeads.

Charles H Lin1, Joanne M Yeakley, Timothy K McDaniel, Richard Shen.   

Abstract

Recent breakthroughs in multiplexed SNP (single nucleotide polymorphism) genotyping technology have enabled global mapping of the relationships between genetic variation and disease. Discoveries made by such whole-genome association studies often spur further interest in surveying more focused subsets of SNPs for validation or research purposes. Here we describe a new SNP genotyping platform that is flexible in assay content and multiplexing (up to 384 analytes), and can serve medium- to high-throughput applications. The Illumina BeadXpress platform supports the GoldenGate Genotyping Assay on digitally inscribed VeraCode microbeads to allow streamlined workflow, rapid detection, unparalleled data reproducibility and consistency. Thus, it is a highly valuable tool for biomarker research and validation, pharmaceutical development, as well as the development of molecular diagnostic tests.

Mesh:

Year:  2009        PMID: 18839109     DOI: 10.1007/978-1-59745-553-4_10

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  37 in total

1.  Consensus mapping of major resistance genes and independent QTL for quantitative resistance to sunflower downy mildew.

Authors:  Patrick Vincourt; Falah As-Sadi; Amandine Bordat; Nicolas B Langlade; Jerome Gouzy; Nicolas Pouilly; Yannick Lippi; Frédéric Serre; Laurence Godiard; Denis Tourvieille de Labrouhe; Felicity Vear
Journal:  Theor Appl Genet       Date:  2012-05-11       Impact factor: 5.699

2.  Genetic variability and linkage disequilibrium patterns in the bovine DNAJA1 gene.

Authors:  Amandine Marty; Yves Amigues; Bertrand Servin; Gilles Renand; Hubert Levéziel; Dominique Rocha
Journal:  Mol Biotechnol       Date:  2010-03       Impact factor: 2.695

Review 3.  Suspension arrays based on nanoparticle-encoded microspheres for high-throughput multiplexed detection.

Authors:  Yuankui Leng; Kang Sun; Xiaoyuan Chen; Wanwan Li
Journal:  Chem Soc Rev       Date:  2015-05-29       Impact factor: 54.564

4.  Screening for 392 polymorphisms in 141 pharmacogenes.

Authors:  Jason Yongha Kim; Hyun Sub Cheong; Tae-Joon Park; Hee Jung Shin; Doo Won Seo; Han Sung Na; Myeon Woo Chung; Hyoung Doo Shin
Journal:  Biomed Rep       Date:  2014-04-30

5.  Extended genetic effects of ADH cluster genes on the risk of alcohol dependence: from GWAS to replication.

Authors:  Byung Lae Park; Jee Wook Kim; Hyun Sub Cheong; Lyoung Hyo Kim; Boung Chul Lee; Cheong Hoon Seo; Tae-Cheon Kang; Young-Woo Nam; Goon-Bo Kim; Hyoung Doo Shin; Ihn-Geun Choi
Journal:  Hum Genet       Date:  2013-03-01       Impact factor: 4.132

6.  In vitro vs in silico detected SNPs for the development of a genotyping array: what can we learn from a non-model species?

Authors:  Camille Lepoittevin; Jean-Marc Frigerio; Pauline Garnier-Géré; Franck Salin; María-Teresa Cervera; Barbara Vornam; Luc Harvengt; Christophe Plomion
Journal:  PLoS One       Date:  2010-06-09       Impact factor: 3.240

7.  Variation in the association between colorectal cancer susceptibility loci and colorectal polyps by polyp type.

Authors:  Andrea N Burnett-Hartman; Polly A Newcomb; Carolyn M Hutter; Ulrike Peters; Michael N Passarelli; Malaika R Schwartz; Melissa P Upton; Lee-Ching Zhu; John D Potter; Karen W Makar
Journal:  Am J Epidemiol       Date:  2014-05-29       Impact factor: 4.897

8.  New native South American Y chromosome lineages.

Authors:  Marilza S Jota; Daniela R Lacerda; José R Sandoval; Pedro Paulo R Vieira; Dominique Ohasi; José E Santos-Júnior; Oscar Acosta; Cinthia Cuellar; Susana Revollo; Cesar Paz-Y-Miño; Ricardo Fujita; Gustavo A Vallejo; Theodore G Schurr; Eduardo M Tarazona-Santos; Sergio Dj Pena; Qasim Ayub; Chris Tyler-Smith; Fabrício R Santos
Journal:  J Hum Genet       Date:  2016-03-31       Impact factor: 3.172

9.  Joint linkage and association analysis with exome sequence data implicates SLC25A40 in hypertriglyceridemia.

Authors:  Elisabeth A Rosenthal; Jane Ranchalis; David R Crosslin; Amber Burt; John D Brunzell; Arno G Motulsky; Deborah A Nickerson; Ellen M Wijsman; Gail P Jarvik
Journal:  Am J Hum Genet       Date:  2013-11-21       Impact factor: 11.025

10.  Whole genome microarray analysis, from neonatal blood cards.

Authors:  Jill Hardin; Richard H Finnell; David Wong; Michael E Hogan; Joy Horovitz; Jenny Shu; Gary M Shaw
Journal:  BMC Genet       Date:  2009-07-22       Impact factor: 2.797

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