Literature DB >> 15283212

Assessment of multiple displacement amplification in molecular epidemiology.

Jin Yan1, Jinong Feng, Seiyu Hosono, Steve S Sommer.   

Abstract

Well-characterized epidemiological resources are generated with great effort, yet associated patient DNA samples can be limiting. The efficacy of the whole genome amplification (WGA) method, termed multiple displacement amplification (MDA), was assessed for detecting heterozygous sequence variants, mutation scanning, and PCR for challenging segments. Fifteen common polymorphisms from 10 genes located on 8 chromosomes were genotyped by direct sequencing of 300 PCR products from 115 high-quality MDA-amplified DNA samples extracted by different methods. The GC content of these analyzed segments ranges from 30% to 69%. Genotyping results demonstrate 100% accuracy. For heterozygotes, the relative intensity of peaks generated by the two alleles is highly similar for genomic and MDA-amplified genomic DNA, independent of GC content. In contrast, one of four heterozygous loci was mistyped when lower quality MDA-amplified DNA samples were used. The results of single-stranded conformation polymorphism (SSCP)-type of mutation scanningfor seven MDA-amplified DNA samples in four genes were concordant with the genomic DNA samples. PCR on MDA-amplified DNA was routinely successful for challenging 10- and 12-kb segments with GC content ranging from 30% to 80%, demonstrating that rather long segments, which are difficult to amplify with PCR, are amplified well with MDA. These results suggest that MDA is an effective method of WGA with utility in molecular epidemiology. Quality control of the MDA-amplified DNA is critical for high performance.

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Year:  2004        PMID: 15283212     DOI: 10.2144/04371DD04

Source DB:  PubMed          Journal:  Biotechniques        ISSN: 0736-6205            Impact factor:   1.993


  8 in total

1.  Multiple displacement amplification enables large-scale clonal analysis following retroviral gene therapy.

Authors:  S Bleier; P Maier; H Allgayer; F Wenz; W J Zeller; S Fruehauf; S Laufs
Journal:  J Virol       Date:  2007-12-12       Impact factor: 5.103

2.  Microbiota of deciduous endodontic infections analysed by MDA and Checkerboard DNA-DNA hybridization.

Authors:  W L F Tavares; L C Neves de Brito; R P Teles; M L A Massara; A P Ribeiro Sobrinho; A D Haffajee; S S Socransky; F R Teles
Journal:  Int Endod J       Date:  2010-11-17       Impact factor: 5.264

3.  Performance of whole-genome amplified DNA isolated from serum and plasma on high-density single nucleotide polymorphism arrays.

Authors:  Daniel T Croft; Rick M Jordan; Heather L Patney; Craig D Shriver; Marina N Vernalis; Trevor J Orchard; Darrell L Ellsworth
Journal:  J Mol Diagn       Date:  2008-04-10       Impact factor: 5.568

4.  Use of multiple-displacement amplification and checkerboard DNA-DNA hybridization to examine the microbiota of endodontic infections.

Authors:  L C N Brito; F R Teles; R P Teles; E C França; A P Ribeiro-Sobrinho; A D Haffajee; S S Socransky
Journal:  J Clin Microbiol       Date:  2007-07-18       Impact factor: 5.948

5.  Investigation of 95 variants identified in a genome-wide study for association with mortality after acute coronary syndrome.

Authors:  Thomas M Morgan; John A House; Sharon Cresci; Philip Jones; Hooman Allayee; Stanley L Hazen; Yesha Patel; Riyaz S Patel; Danny J Eapen; Salina P Waddy; Arshed A Quyyumi; Marcus E Kleber; Winfried März; Bernhard R Winkelmann; Bernhard O Boehm; Harlan M Krumholz; John A Spertus
Journal:  BMC Med Genet       Date:  2011-09-29       Impact factor: 2.103

6.  Bioreactor virome metagenomics sequencing using DNA spike-ins.

Authors:  Geert Cremers; Lavinia Gambelli; Theo van Alen; Laura van Niftrik; Huub J M Op den Camp
Journal:  PeerJ       Date:  2018-02-07       Impact factor: 2.984

7.  A bioinformatic filter for improved base-call accuracy and polymorphism detection using the Affymetrix GeneChip whole-genome resequencing platform.

Authors:  Gagan A Pandya; Michael H Holmes; Sirisha Sunkara; Andrew Sparks; Yun Bai; Kathleen Verratti; Kelly Saeed; Pratap Venepally; Behnam Jarrahi; Robert D Fleischmann; Scott N Peterson
Journal:  Nucleic Acids Res       Date:  2007-11-15       Impact factor: 16.971

8.  Investigation of 89 candidate gene variants for effects on all-cause mortality following acute coronary syndrome.

Authors:  Thomas M Morgan; Lan Xiao; Patrick Lyons; Bethany Kassebaum; Harlan M Krumholz; John A Spertus
Journal:  BMC Med Genet       Date:  2008-07-12       Impact factor: 2.103

  8 in total

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