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PMID: 12060691 Published · ppublish English Comparative Study Journal Article Research Support, U.S. Gov't, P.H.S.

High-throughput genotyping of single nucleotide polymorphisms using new biplex invader technology.

Nucleic acids research ·Vol. 30 ·No. 12 ·2002-06-15 ·Pages e53

Olivier M, Chuang LM, Chang MS, Chen YT, Pei D, Ranade K, de Witte A, Allen J, Tran N, Curb D, Pratt R, Neefs H, de Arruda Indig M, Law S, Neri B, Wang L, Cox DR

Abstract

The feasibility of large-scale genome-wide association studies of complex human disorders depends on the availability of accurate and efficient genotyping methods for single nucleotide polymorphisms (SNPs). We describe a new platform of the invader assay, a biplex assay, where both alleles are interrogated in a single reaction tube. The assay was evaluated on over 50 different SNPs, with over 20 SNPs genotyped in study cohorts of over 1500 individuals. We assessed the usefulness of the new platform in high-throughput genotyping and compared its accuracy to genotyping results obtained by the traditional monoplex invader assay, TaqMan genotyping and sequencing data. We present representative data for two SNPs in different genes (CD36 and protein tyrosine phosphatase 1beta) from a study cohort comprising over 1500 individuals with high or low-normal blood pressure. In this high-throughput application, the biplex invader assay is very accurate, with an error rate of <0.3% and a failure rate of 1.64%. The set-up of the assay is highly automated, facilitating the processing of large numbers of samples simultaneously. We present new analysis tools for the assignment of genotypes that further improve genotyping success. The biplex invader assay with its automated set-up and analysis offers a new efficient high-throughput genotyping platform that is suitable for association studies in large study cohorts.

MeSH Terms
Biotechnology/methods CD36 Antigens/genetics Cluster Analysis Cohort Studies Genotype Humans Polymorphism, Single Nucleotide Protein Tyrosine Phosphatases/genetics Reproducibility of Results Sequence Analysis, DNA/methods
Chemicals
CD36 Antigens Protein Tyrosine Phosphatases
Authors & Affiliations
17 authors, click to expand affiliations / ORCID
Olivier Michael
Stanford Human Genome Center, Stanford University School of Medicine, 975 California Avenue, Palo Alto, CA 94305, USA. [email protected]
Chuang Lee-Ming
Chang Mau-Song
Chen Ying-Tsung
Pei Dee
Ranade Koustubh
de Witte Anniek
Allen Jennifer
Tran Nguyet
Curb David
Pratt Richard
Neefs Henk
de Arruda Indig Monika
Law Scott
Neri Bruce
Wang Lu
Cox David R
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Article Info
Journal
Nucleic acids research
Abbr.
Nucleic Acids Res
ISSN
1362-4962
Published
2002-06-15
Pages
e53
Language
English
Region
England
NLM ID
0411011
PMCID
PMC117295
Subset
IM
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