Risk prediction for clinical phenotype in myotonic dystrophy type 1: Data from 2,650 patients

Leila Baghernajad Salehi, Emanuela Bonifazi, Enrico Di Stasio, Massimo Gennarelli, Annalisa Botta, Laura Vallo, Raniero Iraci, Roberto Massa, Giovanni Antonini, Corrado Angelini, Giuseppe Novelli

Research output: Contribution to journalArticle

Abstract

Myotonic dystrophy type 1 (DM1) is a multisystem disorder that affects skeletal and smooth muscle as well as the eye, heart, endocrine system, and central nervous system. DM1 is caused by expansion of a CTG trinucleotide†repeat in the gene DMPK. Clinical findings in DM1 span a continuum from mild to severe. Although the CTG repeat correlates with the disease phenotype, caution is used in predicting disease severity on the basis of CTG repeat number. This study reports an extensive genotype-phenotype study to evaluate the clinical validity and clinical utility of the molecular genetic test. Data were analyzed by multiple logistic regression, used to estimate the odds ratio (OR) and correlation coefficients for patients phenotype in respect to the categorical variables expansion class, gender, familiarity, and the continuous variables age and disease duration. We assessed disease expression by clinical evaluation and the molecular genetic test in 2,650 patients identified by accurate clinical diagnosis and family segregation. We were able to estimate OR and correlation coefficients for patients phenotype according to CTG number. A genotype-phenotype correlation was established to derivate a clinical predictive risk on the basis of molecular data. This study demonstrates that measurement of triplet expansions in patients' DNA can be considered as a useful tool for DM1 phenotype assessment and presymptomatic testing.

Original languageEnglish
Pages (from-to)84-90
Number of pages7
JournalGenetic Testing
Volume11
Issue number1
DOIs
Publication statusPublished - Mar 2007

ASJC Scopus subject areas

  • Genetics(clinical)

Fingerprint Dive into the research topics of 'Risk prediction for clinical phenotype in myotonic dystrophy type 1: Data from 2,650 patients'. Together they form a unique fingerprint.

  • Cite this

    Salehi, L. B., Bonifazi, E., Di Stasio, E., Gennarelli, M., Botta, A., Vallo, L., Iraci, R., Massa, R., Antonini, G., Angelini, C., & Novelli, G. (2007). Risk prediction for clinical phenotype in myotonic dystrophy type 1: Data from 2,650 patients. Genetic Testing, 11(1), 84-90. https://doi.org/10.1089/gte.2006.0511