Search results for "genotype–phenotype correlation"
showing 3 items of 3 documents
Phenotypic analysis of individuals with Costello syndrome due to HRAS p.G13C.
2011
Costello syndrome is characterized by severe failure-to-thrive, short stature, cardiac abnormalities (heart defects, tachyarrhythmia, and hypertrophic cardiomyopathy (HCM)), distinctive facial features, a predisposition to papillomata and malignant tumors, postnatal cerebellar overgrowth resulting in Chiari 1 malformation, and cognitive disabilities. De novo germline mutations in the proto-oncogene HRAS cause Costello syndrome. Most mutations affect the glycine residues in position 12 or 13, and more than 80% of patients share p.G12S. To test the hypothesis that subtle genotype-phenotype differences exist, we report the first cohort comparison between 12 Costello syndrome individuals with p…
Identification of the novel D297fsX318 PINK1 mutation and phenotype variation in a family with early-onset Parkinson's disease
2008
Herein we first describe a novel homozygous single nucleotide deletion in PINK1 exon 4 (889delG) which results in a loss of kinase domain on the PINK1 protein (D297fsX318). This mutation was identified in two brothers with early-onset Parkinson disease (EOPD) from a Sicilian consanguineous family. Of note, while one of the two patients developed mental deterioration and psychiatric problems, the other showed no cognitive decline. The present study supports the view that PINK1 is a pathogenic gene in some Italian families with EOPD and contributes to define the PINK1-associated phenotype. Herein we first describe a novel homozygous single nucleotide deletion in PINK1 exon 4 (889delG) which r…
Male breast cancer in BRCA1 and BRCA2 mutation carriers: pathology data from the Consortium of Investigators of Modifiers of BRCA1/2
2016
Background BRCA1 and, more commonly, BRCA2 mutations are associated with increased risk of male breast cancer (MBC). However, only a paucity of data exists on the pathology of breast cancers (BCs) in men with BRCA1/2 mutations. Using the largest available dataset, we determined whether MBCs arising in BRCA1/2 mutation carriers display specific pathologic features and whether these features differ from those of BRCA1/2 female BCs (FBCs). Methods We characterised the pathologic features of 419 BRCA1/2 MBCs and, using logistic regression analysis, contrasted those with data from 9675 BRCA1/2 FBCs and with population-based data from 6351 MBCs in the Surveillance, Epidemiology, and End Results (…