High-throughput genotyping of single nucleotide polymorphisms using new biplex invader technology
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 inter...
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Published in | Nucleic acids research Vol. 30; no. 12; p. e53 |
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Main Authors | , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
England
Oxford University Press
15.06.2002
Oxford Publishing Limited (England) |
Subjects | |
Online Access | Get full text |
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Summary: | 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 1β) 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. |
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Bibliography: | ark:/67375/HXZ-BDBC0N6F-B istex:B7A93A1D8854C93E96D15EE0CA242FB505DA3FC7 local:gnf052 Received January 14, 2002; Revised and Accepted April 18, 2002. ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 ObjectType-Article-1 ObjectType-Feature-2 To whom correspondence should be addressed at present address: Human and Molecular Genetics Center, Medical College of Wisconsin, 8701 Watertown Plank Road, Milwaukee, WI 53226, USA. Tel: +1 414 456 4968; Fax: +1 414 456 6516; Email: molivier@mcw.edu Present address: Koustubh Ranade, Pharmaceutical Research Institute, Bristol-Myers Squibb, Princeton, NJ 08543-5839, USA |
ISSN: | 0305-1048 1362-4962 1362-4962 |
DOI: | 10.1093/nar/gnf052 |