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A rapid scoring tool to assess mutation probability in patients with inherited cardiac disorders.

Authors :
Zentner D
Thompson T
Taylor J
Bogwitz M
Trainer A
Vohra J
Winship I
James PA
Source :
European journal of medical genetics [Eur J Med Genet] 2018 Feb; Vol. 61 (2), pp. 61-67. Date of Electronic Publication: 2017 Nov 02.
Publication Year :
2018

Abstract

Aims: To explore clinical features and relationship with positive mutation ascertainment in inherited heart diseases in order to develop a clinical tool to assist identification of individuals in whom to offer genetic testing. A clinical tool that increases pre test probability of mutation detection would have the benefits of improving patient counselling, prioritising cases for MPS and allowing equity in decision making.<br />Methods and Results: Consecutive MPS mutation detection testing cases were identified (September 2014 - December 2015, n = 126). Cases were scored for the presence of pre-determined clinical and family history variables, blinded to MPS results. Subsequent unblinding allowed ascertainment of the odds ratio (OR) between these clinical variables and positive mutation detection. A clinical tool was developed and variables with higher OR association were given a higher weighting. The mean score in the cohort was 3.94: mutation positive subgroup 4.74, and mutation negative subgroup: 3.49 (t-test, p < 0.0001). The clinical tool was validated in a cohort of 40 patients. There was a strong linear correlation between increasing clinical tool score and probability of detecting a mutation (r <superscript>2</superscript>  = 0.88).<br />Conclusion: Clinical information on probands and their family history allows identification of individuals with a greater chance of positive mutation detection. This improves pre test counselling, allows equitable identification of individuals in whom to offer cardiac genetic testing and can be calibrated to a predictable ratio of positive mutation and missed opportunity cases for individual health services.<br /> (Copyright © 2017 Elsevier Masson SAS. All rights reserved.)

Details

Language :
English
ISSN :
1878-0849
Volume :
61
Issue :
2
Database :
MEDLINE
Journal :
European journal of medical genetics
Publication Type :
Academic Journal
Accession number :
29102761
Full Text :
https://doi.org/10.1016/j.ejmg.2017.10.020