Back to Search Start Over

Automation of diagnostic genetic testing: Mutation detection by cyclic minisequencing.

Authors :
Alagrund, Katariina
Orpana, Arto K.
Source :
Scandinavian Journal of Clinical & Laboratory Investigation; Jan2014, Vol. 74 Issue 1, p44-52, 9p
Publication Year :
2014

Abstract

Background. The rising role of nucleic acid testing in clinical decision making is creating a need for efficient and automated diagnostic nucleic acid test platforms. Clinical use of nucleic acid testing sets demands for shorter turnaround times (TATs), lower production costs and robust, reliable methods that can easily adopt new test panels and is able to run rare tests in random access principle. Here we present a novel home-brew laboratory automation platform for diagnostic mutation testing. Method. This platform is based on the cyclic minisequecing (cMS) and two color near-infrared (NIR) detection. Pipetting is automated using Tecan Freedom EVO pipetting robots and all assays are performed in 384-well micro plate format. The automation platform includes a data processing system, controlling all procedures, and automated patient result reporting to the hospital information system. Conclusions. We have found automated cMS a reliable, inexpensive and robust method for nucleic acid testing for a wide variety of diagnostic tests. The platform is currently in clinical use for over 80 mutations or polymorphisms. Additionally to tests performed from blood samples, the system performs also epigenetic test for the methylation of the MGMT gene promoter, and companion diagnostic tests for analysis of KRAS and BRAF gene mutations from formalin fixed and paraffin embedded tumor samples. Automation of genetic test reporting is found reliable and efficient decreasing the work load of academic personnel. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00365513
Volume :
74
Issue :
1
Database :
Complementary Index
Journal :
Scandinavian Journal of Clinical & Laboratory Investigation
Publication Type :
Academic Journal
Accession number :
93594165
Full Text :
https://doi.org/10.3109/00365513.2013.857040