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Highly multiplexed molecular inversion probe genotyping: Over 10,000 targeted SNPs genotyped in a single tube assay
Author(s) -
Paul Hardenbol,
Fuli Yu,
John W. Belmont,
Jennifer MacKenzie,
Carsten Bruckner,
Tiffany Brundage,
Andrew Boudreau,
Steve Chow,
Jim Eberle,
Ayça Erbilgin,
Mat Falkowski,
R.C. Fitzgerald,
Sy Ghose,
Oleg Iartchouk,
Maneesh Jain,
George KarlinNeumann,
Xiuhua Lu,
Xin Miao,
Bridget Moore,
Martin Moorhead,
Eugeni Namsaraev,
Shiran Pasternak,
Eunice Prakash,
Karen Tran,
Zhiyong Wang,
Hywel B. Jones,
Ronald W. Davis,
T. D. Willis,
Richard A. Gibbs
Publication year - 2005
Publication title -
genome research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.556
H-Index - 297
eISSN - 1549-5469
pISSN - 1088-9051
DOI - 10.1101/gr.3185605
Subject(s) - biology , multiplex , genotyping , snp genotyping , linkage disequilibrium , molecular inversion probe , single nucleotide polymorphism , genetics , international hapmap project , snp , tag snp , computational biology , genotype , gene
Large-scale genetic studies are highly dependent on efficient and scalable multiplex SNP assays. In this study, we report the development of Molecular Inversion Probe technology with four-color, single array detection, applied to large-scale genotyping of up to 12,000 SNPs per reaction. While generating 38,429 SNP assays using this technology in a population of 30 trios from the Centre d'Etude Polymorphisme Humain family panel as part of the International HapMap project, we established SNP conversion rates of approximately 90% with concordance rates >99.6% and completeness levels >98% for assays multiplexed up to 12,000plex levels. Furthermore, these individual metrics can be "traded off" and, by sacrificing a small fraction of the conversion rate, the accuracy can be increased to very high levels. No loss of performance is seen when scaling from 6,000plex to 12,000plex assays, strongly validating the ability of the technology to suppress cross-reactivity at high multiplex levels. The results of this study demonstrate the suitability of this technology for comprehensive association studies that use targeted SNPs in indirect linkage disequilibrium studies or that directly screen for causative mutations.

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