Literature DB >> 16786504

Multiple displacement amplification to create a long-lasting source of DNA for genetic studies.

Lovisa Lovmar1, Ann-Christine Syvänen.   

Abstract

In many situations there may not be sufficient DNA collected from patient or population cohorts to meet the requirements of genome-wide analysis of SNPs, genomic copy number polymorphisms, or acquired copy number alternations. When the amount of available DNA for genotype analysis is limited, high performance whole-genome amplification (WGA) represents a new development in genetic analysis. It is especially useful for analysis of DNA extracted from stored histology slides, tissue samples, buccal swabs, or blood stains collected on filter paper. The multiple displacement amplification (MDA) method, which relies on isothermal amplification using the DNA polymerase of the bacteriophage phi29, is a recently developed technique for high performance WGA. This review addresses new trends in the technical performance of MDA and its applications to genetic analyses. The main challenge of WGA methods is to obtain balanced and faithful replication of all chromosomal regions without the loss of or preferential amplification of any genomic loci or allele. In multiple comparisons to other WGA methods, MDA appears to be most reliable for genotyping, with the most favorable call rates, best genomic coverage, and lowest amplification bias. Copyright 2006 Wiley-Liss, Inc.

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Year:  2006        PMID: 16786504     DOI: 10.1002/humu.20341

Source DB:  PubMed          Journal:  Hum Mutat        ISSN: 1059-7794            Impact factor:   4.878


  41 in total

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Journal:  Science       Date:  2012-03-08       Impact factor: 47.728

2.  Performance assessment of a novel two-step multiple displacement amplification-PCR assay for detection of Mycobacterium tuberculosis complex in sputum specimens.

Authors:  Na Wu; Yuanyuan Zhang; Jun Fu; Ruifen Zhang; Lan Feng; Yongfei Hu; Xiaoliang Li; Na Lu; Xiuqin Zhao; Yuanlong Pan; Jing Li; Baoli Zhu; Kanglin Wan
Journal:  J Clin Microbiol       Date:  2012-01-18       Impact factor: 5.948

3.  Single molecule transcription profiling with AFM.

Authors:  Jason Reed; Bud Mishra; Bede Pittenger; Sergei Magonov; Joshua Troke; Michael A Teitell; James K Gimzewski
Journal:  Nanotechnology       Date:  2007-05-09       Impact factor: 3.874

4.  Fidelity and representativeness of two isothermal multiple displacement amplification systems to preamplify limiting amounts of total RNA.

Authors:  Vijay J Gadkar; Tanya Arseneault; Martin Filion
Journal:  Mol Biotechnol       Date:  2014-04       Impact factor: 2.695

5.  A procedure for highly specific, sensitive, and unbiased whole-genome amplification.

Authors:  Xinghua Pan; Alexander Eckehart Urban; Dean Palejev; Vincent Schulz; Fabian Grubert; Yiping Hu; Michael Snyder; Sherman M Weissman
Journal:  Proc Natl Acad Sci U S A       Date:  2008-10-01       Impact factor: 11.205

6.  Comparison of methods for library construction and short read annotation of shellfish viral metagenomes.

Authors:  Hong-Ying Wei; Sheng Huang; Jiang-Yong Wang; Fang Gao; Jing-Zhe Jiang
Journal:  Genes Genomics       Date:  2017-12-02       Impact factor: 1.839

7.  Assessing the utility of whole-genome amplified serum DNA for array-based high throughput genotyping.

Authors:  Kristine L Bucasas; Gagan A Pandya; Sonal Pradhan; Robert D Fleischmann; Scott N Peterson; John W Belmont
Journal:  BMC Genet       Date:  2009-12-18       Impact factor: 2.797

8.  High fidelity of whole-genome amplified DNA on high-density single nucleotide polymorphism arrays.

Authors:  Jinchuan Xing; W Scott Watkins; Yuhua Zhang; David J Witherspoon; Lynn B Jorde
Journal:  Genomics       Date:  2008-09-27       Impact factor: 5.736

Review 9.  Old can be new again: HAPPY whole genome sequencing, mapping and assembly.

Authors:  Zhihua Jiang; Daniel S Rokhsar; Richard M Harland
Journal:  Int J Biol Sci       Date:  2009-04-15       Impact factor: 6.580

10.  118 SNPs of folate-related genes and risks of spina bifida and conotruncal heart defects.

Authors:  Gary M Shaw; Wei Lu; Huiping Zhu; Wei Yang; Farren B S Briggs; Suzan L Carmichael; Lisa F Barcellos; Edward J Lammer; Richard H Finnell
Journal:  BMC Med Genet       Date:  2009-06-03       Impact factor: 2.103

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