Clinical predictors of genetic testing outcomes in hypertrophic cardiomyopathy.
Genet Med
; 15(12): 972-7, 2013 Dec.
Article
in En
| MEDLINE
| ID: mdl-23598715
PURPOSE: Genetic testing for hypertrophic cardiomyopathy has been commercially available for almost a decade; however, low mutation detection rate and cost have hindered uptake. This study sought to identify clinical variables that can predict probands with hypertrophic cardiomyopathy in whom a pathogenic mutation will be identified. METHODS: Probands attending specialized cardiac genetic clinics across Australia over a 10-year period (2002-2011), who met clinical diagnostic criteria for hypertrophic cardiomyopathy and who underwent genetic testing for hypertrophic cardiomyopathy were included. Clinical, family history, and genotype information were collected. RESULTS: A total of 265 unrelated individuals with hypertrophic cardiomyopathy were included, with 138 (52%) having at least one mutation identified. The mutation detection rate was significantly higher in the probands with hypertrophic cardiomyopathy with an established family history of disease (72 vs. 29%, P < 0.0001), and a positive family history of sudden cardiac death further increased the detection rate (89 vs. 59%, P < 0.0001). Multivariate analysis identified female gender, increased left-ventricular wall thickness, family history of hypertrophic cardiomyopathy, and family history of sudden cardiac death as being associated with greatest chance of identifying a gene mutation. Multiple mutation carriers (n = 16, 6%) were more likely to have suffered an out-of-hospital cardiac arrest or sudden cardiac death (31 vs. 7%, P = 0.012). CONCLUSION: Family history is a key clinical predictor of a positive genetic diagnosis and has direct clinical relevance, particularly in the pretest genetic counseling setting.
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Cardiomyopathy, Hypertrophic
/
Genetic Markers
/
Genetic Testing
Type of study:
Prognostic_studies
/
Risk_factors_studies
Limits:
Adult
/
Aged
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Female
/
Humans
/
Male
/
Middle aged
Country/Region as subject:
Oceania
Language:
En
Journal:
Genet Med
Journal subject:
GENETICA MEDICA
Year:
2013
Type:
Article
Affiliation country:
Australia