Literature DB >> 16176719

Estimation of the rate of SNP genotyping errors from DNA extracted from different tissues.

Grant W Montgomery1, Megan J Campbell, Peter Dickson, Shane Herbert, Kirby Siemering, Kelly R Ewen-White, Peter M Visscher, Nicholas G Martin.   

Abstract

High density single nucleotide polymorphism (SNP) genotyping panels provide an alternative to microsatellite markers for genome scans. However, genotype errors have a major impact on power to detect linkage or association and are difficult to detect for SNPs. We estimated error rates with the Affymetrix GeneChip SNP platform in samples from a family with a mixed set of monozygotic (MZ) and dizygotic (DZ) triplets using lymphocyte, buccal DNA and samples from whole genome amplification using the multiple displacement amplification (MDA) technique. The average call rate from 58,960 SNPs for five genomic samples was 99.48%. Comparison of results for the MZ twins showed only three discordant genotypes (concordance rate 99.995%). The mean concordance rate for comparisons of samples from lymphocyte and buccal DNA was 99.97%. Mendelian inconsistencies were identified in 46 SNPs with errors in one or more family members, a rate of 0.022%. Observed genotype concordance rates between parents, between parents and children, and among siblings were consistent with previously reported allele frequencies and Hardy-Weinberg equilibrium. Using the MDA technique, results for two samples had equivalent high accuracy to results with genomic samples. However, the SNP call rate for the remaining seven samples varied from 72.5% to 99.5%, with an average of 86.11%. Quality of the DNA sample following the MDA reaction appears to be the critical factor in SNP call rate for MDA samples. Our results demonstrate highly accurate and reproducible genotyping for the Affymetrix GeneChip Human Mapping Set in lymphocyte and buccal DNA samples.

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Year:  2005        PMID: 16176719     DOI: 10.1375/1832427054936673

Source DB:  PubMed          Journal:  Twin Res Hum Genet        ISSN: 1832-4274            Impact factor:   1.587


  15 in total

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2.  Feasibility of High-Throughput Genome-Wide Genotyping using DNA from Stored Buccal Cell Samples.

Authors:  Stephanie J Loomis; Lana M Olson; Louis R Pasquale; Janey Wiggs; Daniel Mirel; Andrew Crenshaw; Melissa Parkin; Brandon Rahhal; Stephanie Tetreault; Peter Kraft; Shelley S Tworoger; Jonathan L Haines; Jae H Kang
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3.  Performance of whole-genome amplified DNA isolated from serum and plasma on high-density single nucleotide polymorphism arrays.

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Journal:  J Mol Diagn       Date:  2008-04-10       Impact factor: 5.568

4.  Whole-genome amplification enables accurate genotyping for microarray-based high-density single nucleotide polymorphism array.

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6.  Whole-exome sequencing of DNA from peripheral blood mononuclear cells (PBMC) and EBV-transformed lymphocytes from the same donor.

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7.  ParentChecker: a computer program for automated inference of missing parental genotype calls and linkage phase correction.

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8.  Evaluation of multiple displacement amplification in a 5 cM STR genome-wide scan.

Authors:  Peter A Dickson; Grant W Montgomery; Anjali Henders; Megan J Campbell; Nicholas G Martin; Michael R James
Journal:  Nucleic Acids Res       Date:  2005-07-29       Impact factor: 16.971

9.  Assessment of DNA extracted from FTA cards for use on the Illumina iSelect BeadChip.

Authors:  Matthew C McClure; Stephanie D McKay; Robert D Schnabel; Jeremy F Taylor
Journal:  BMC Res Notes       Date:  2009-06-16

10.  SNP HiTLink: a high-throughput linkage analysis system employing dense SNP data.

Authors:  Yoko Fukuda; Yasuo Nakahara; Hidetoshi Date; Yuji Takahashi; Jun Goto; Akinori Miyashita; Ryozo Kuwano; Hiroki Adachi; Eiji Nakamura; Shoji Tsuji
Journal:  BMC Bioinformatics       Date:  2009-04-24       Impact factor: 3.169

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