Online Competency Assessment

GenQA offers online assessment tools to enable individuals to evidence their continuing professional development.

Genomics Training Assessment and Competence Tool (G-TACT)
This provides online training modules to demonstrate individual competence.  Currently available modules include sample reception and sequence variant interpretation.  In development are modules for duty scientist, data analysis and report authorisation.  The task scenarios are randomly generated with automated assessment and can be completed at your own pace.  A free trial is available for laboratory staff, if required.

Sample Reception
This module provides a virtual laboratory scenario, where samples are received and the individual has to make decisions regarding suitability of the sample and clinical request card.  

Sequence Variant Interpretation
A trial version of this module was launched in Summer 2018.  It comprised 5 variants from different genes, and individuals had to determine the pathogenic classification of each variant.  The full version of this module will be released shortly.

Tissue Assessment (Tissue-i)
This module enables individuals to evidence their competency to select appropriate tissue areas for genomic testing.  It covers a range of tissue types (breast cancer, colorectal cancer, lung cancer, melanoma, ovarian cancer, prostate cancer and sarcoma).  Participants are required to determine the boundary of tumour regions they deem appropriate for macrodissection for molecular testing.

To participate in Tissue-i, please email info@genqa.org.  We will require details of your host laboratory for billing purposes, and you will need to state which tumour types you assess for molecular analysis.

To login to Tissue-i, please navigate to www.genqa.org and click on the G-TACT button at the top of the home page, you will then be prompted to enter your username and password.  Once you have been granted access to G-TACT, select Tissue-i  and you will be redirected to the Tissue-i module.

Last updated: Tuesday, 27 November 2018
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