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Methods for extracting genomic DNA from whole blood samples: current perspectives

Authors Chacon-Cortes D, Griffiths L

Received 24 January 2014

Accepted for publication 15 March 2014

Published 28 May 2014 Volume 2014:2 Pages 1—9

DOI https://doi.org/10.2147/BSAM.S46573

Checked for plagiarism Yes

Review by Single-blind

Peer reviewer comments 4


Diego Chacon-Cortes, Lyn R Griffiths

Genomics Research Centre, Institute of Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove, QLD, Australia

Abstract: Deoxyribonucleic acid (DNA) extraction has considerably evolved since it was initially performed back in 1869. It is the first step required for many of the available downstream applications used in the field of molecular biology. Whole blood samples are one of the main sources used to obtain DNA, and there are many different protocols available to perform nucleic acid extraction on such samples. These methods vary from very basic manual protocols to more sophisticated methods included in automated DNA extraction protocols. Based on the wide range of available options, it would be ideal to determine the ones that perform best in terms of cost-effectiveness and time efficiency. We have reviewed DNA extraction history and the most commonly used methods for DNA extraction from whole blood samples, highlighting their individual advantages and disadvantages. We also searched current scientific literature to find studies comparing different nucleic acid extraction methods, to determine the best available choice. Based on our research, we have determined that there is not enough scientific evidence to support one particular DNA extraction method from whole blood samples. Choosing a suitable method is still a process that requires consideration of many different factors, and more research is needed to validate choices made at facilities around the world.

Keywords: genomic DNA extraction, whole blood samples, solution-based DNA extraction, solid-phase DNA extraction, cost-effectiveness, time efficiency


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