Literature DB >> 26374307

Bias in Whole Genome Amplification: Causes and Considerations.

Jeffrey Sabina1, John H Leamon2.   

Abstract

Whole genome amplification (WGA) is a widely used molecular technique that is becoming increasingly necessary in genetic research on a range of sample types including individual cells, fossilized remains and entire ecosystems. Multiple methods of WGA have been developed, each with specific strengths and weaknesses, but with a common defect in that each method distorts the initial template DNA during the course of amplification. The type, extent, and circumstance of the bias vary with the WGA method and particulars of the template DNA. In this review, we endeavor to discuss the types of bias introduced, the susceptibility of common WGA techniques to these bias types, and the interdependence between bias and characteristics of the template DNA. Finally, we attempt to illustrate some of the criteria specific to the analytical platform and research application that should be considered to enable combination of the appropriate WGA method, template DNA, sequencing platform, and intended use for optimal results.

Keywords:  Amplification artifacts; Bias; DOP-PCR; Drift; MDA; PEP-PCR; Selection; Single cell sequencing; Whole genome amplification

Mesh:

Year:  2015        PMID: 26374307     DOI: 10.1007/978-1-4939-2990-0_2

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  34 in total

1.  Next-generation Sequencing (NGS) Analysis on Single Circulating Tumor Cells (CTCs) with No Need of Whole-genome Amplification (WGA).

Authors:  Raffaele Palmirotta; Domenica Lovero; Erica Silvestris; Claudia Felici; Davide Quaresmini; Paola Cafforio; Franco Silvestris
Journal:  Cancer Genomics Proteomics       Date:  2017 May-Jun       Impact factor: 4.069

Review 2.  Contributions of single-cell genomics to our understanding of planktonic marine archaea.

Authors:  A E Santoro; M Kellom; S M Laperriere
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2019-10-07       Impact factor: 6.237

3.  Endometriosis research using capture microdissection techniques: Progress and future applications.

Authors:  Luyang Zhao; Chenglei Gu; Ke Huang; Weidong Han; Meng Fu; Yuanguang Meng
Journal:  Biomed Rep       Date:  2016-09-15

Review 4.  Population Structure and Dynamics of Helminthic Infection: Schistosomiasis.

Authors:  Ronald E Blanton
Journal:  Microbiol Spectr       Date:  2019-07

5.  Accurate long-read sequencing allows assembly of the duplicated RHD and RHCE genes harboring variants relevant to blood transfusion.

Authors:  Zhe Zhang; Hyun Hyung An; Sunitha Vege; Taishan Hu; Shiping Zhang; Timothy Mosbruger; Pushkala Jayaraman; Dimitri Monos; Connie M Westhoff; Stella T Chou
Journal:  Am J Hum Genet       Date:  2021-12-29       Impact factor: 11.043

6.  Simultaneous brain cell type and lineage determined by scRNA-seq reveals stereotyped cortical development.

Authors:  Donovan J Anderson; Florian M Pauler; Aaron McKenna; Jay Shendure; Simon Hippenmeyer; Marshall S Horwitz
Journal:  Cell Syst       Date:  2022-04-21       Impact factor: 11.091

Review 7.  Analyzing Circulating Tumor Cells One at a Time.

Authors:  Veronica Ortiz; Min Yu
Journal:  Trends Cell Biol       Date:  2018-06-08       Impact factor: 20.808

8.  Evaluating the application value of NGS-based PGT-A by screening cryopreserved MDA products of embryos from PGT-M cycles with known transfer outcomes.

Authors:  Xiaoting Shen; Dongjia Chen; Chenhui Ding; Yan Xu; Yu Fu; Bing Cai; Yali Wang; Jing Wang; Rong Li; Jing Guo; Jiafu Pan; Han Zhang; Yanhong Zeng; Canquan Zhou
Journal:  J Assist Reprod Genet       Date:  2022-03-11       Impact factor: 3.357

Review 9.  Revealing Nucleic Acid Mutations Using Förster Resonance Energy Transfer-Based Probes.

Authors:  Nina P L Junager; Jacob Kongsted; Kira Astakhova
Journal:  Sensors (Basel)       Date:  2016-07-27       Impact factor: 3.576

10.  Systematic assessment of the performance of whole-genome amplification for SNP/CNV detection and β-thalassemia genotyping.

Authors:  Fei He; Wanjun Zhou; Ren Cai; Tizhen Yan; Xiangmin Xu
Journal:  J Hum Genet       Date:  2018-02-13       Impact factor: 3.172

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