Sabina Maria Bruno

A new complex allele of the CFTR gene partially explains the variable phenotype of the L997F mutation

Purpose: To evaluate the role of complex alleles, with two or more mutations in cis position, of the cystic fibrosis transmembrane conductance regulator (CFTR) gene in the definition of the genotype-phenotype relationship in cystic fibrosis (CF), and to evaluate the functional significance of the highly controversial L997F CFTR mutation.Methods: We evaluated the diagnosis of CF or CFTR-related disorders in 12 unrelated subjects with highly variable phenotypes. According to a first CFTR mutational analysis, subjects appeared to be compound heterozygotes for a classic mutation and the L997F mutation. A further CFTR mutational analysis was conducted by means of a protocol of extended sequencing, particularly suited to the detection of complex alleles.Results: We detected a new [R117L; L997F] CFTR complex allele in the four subjects with the highest sweat test values and CF. The eight subjects without the complex allele showed the most varied biochemical and clinical outcome and were diagnosed as having mild CF, CFTR-related disorders, or even no disease.Conclusions: The new complex allele partially explains the variable phenotype in CF subjects with the L997F mutation. CFTR complex alleles are likely to have a role in the definition of the genotype-phenotype relationship in CF. Whenever apparently identical CFTR-mutated genotypes are found in subjects with divergent phenotypes, an extensive mutational search is mandatory.

A Genotypic-Oriented View of CFTR Genetics Highlights Specific Mutational Patterns Underlying Clinical Macrocategories of Cystic Fibrosis.

Cystic fibrosis (CF) is a monogenic disease caused by mutations of the cystic fibrosis transmembrane conductance regulator (CFTR) gene. The genotype-phenotype relationship in this disease is still unclear, and diagnostic, prognostic and therapeutic challenges persist. We enrolled 610 patients with different forms of CF and studied them from a clinical, biochemical, microbiological and genetic point of view. Overall, there were 125 different mutated alleles (11 with novel mutations and 10 with complex mutations) and 225 genotypes. A strong correlation between mutational patterns at the genotypic level and phenotypic macrocategories emerged. This specificity appears to largely depend on rare and individual mutations, as well as on the varying prevalence of common alleles in different clinical macrocategories. However, 19 genotypes appeared to underlie different clinical forms of the disease. The dissection of the pathway from the CFTR mutated genotype to the clinical phenotype allowed to identify at least two components of the variability usually found in the genotype-phenotype relationship. One component seems to depend on the genetic variation of CFTR, the other component on the cumulative effect of variations in other genes and cellular pathways independent from CFTR. The experimental dissection of the overall biological CFTR pathway appears to be a powerful approach for a better comprehension of the genotype-phenotype relationship. However, a change from an allele-oriented to a genotypic-oriented view of CFTR genetics is mandatory, as well as a better assessment of sources of variability within the CFTR pathway.

A novel mutation in ABCA1 gene causing tangier disease in an Italian family with uncommon neurological presentation

Tangier disease is an autosomal recessive disorder characterized by severe reduction in high-density lipoprotein cholesterol and peripheral lipid storage. We describe a family with c.5094C > A p.Tyr1698* mutation in the ABCA1 gene, clinically characterized by syringomyelic-like anesthesia, demyelinating multineuropathy, and reduction in intraepidermal small fibers innervation. In the proband patient, cardiac involvement determined a myocardial infarction; lipid storage was demonstrated in gut, cornea, and aortic wall. The reported ABCA1 mutation has never been described before in a Tangier family.

A template for mutational data analysis of the CFTR gene

Abstract Background: Automated DNA sequencing produces large amounts of data that need to be analyzed by appropriate software. Personalization of software can be a difficult and time-consuming task, especially if a large number of mutations have to be analyzed. Methods: The Applied BioSystems SeqScape software, based on the KB basecaller algorithm, is a versatile tool that can be used for mutational analysis and for data quality assessment of sequences belonging to any gene of interest. Using this software we analyzed over 1400 sequences of CFTR exons and adjacent intronic zones, representing over 500,000 bases. Results: We present an up to date specific template and a linked set of instructions for automated labeling of all point mutations and polymorphisms of the CFTR gene, whose mutations cause cystic fibrosis (the most common genetic disease among Caucasian individuals). We also describe our refined software settings for mutational analysis, in order to keep to a minimum the need of manual validation. Conclusions: The use of our template greatly simplifies the mutational analysis of the CFTR gene, reducing human intervention. In our opinion, it might not only be useful to researchers that already perform CFTR mutational analysis by sequencing methods but it should also improve the approach in those laboratories that already use ABI PRISM instrumentation for a limited mutational analysis of the CFTR gene. Similar mutational templates can also be used for other disease causing genes, thus improving molecular genetics protocols.

A New Targeted CFTR Mutation Panel Based on Next-Generation Sequencing Technology

Searching for mutations in the cystic fibrosis transmembrane conductance regulator gene (CFTR) is a key step in the diagnosis of and neonatal and carrier screening for cystic fibrosis (CF), and it has implications for prognosis and personalized therapy. The large number of mutations and genetic and phenotypic variability make this search a complex task. Herein, we developed, validated, and tested a laboratory assay for an extended search for mutations in CFTR using a next-generation sequencing-based method, with a panel of 188 CFTR mutations customized for the Italian population. Overall, 1426 dried blood spots from neonatal screening, 402 genomic DNA samples from various origins, and 1138 genomic DNA samples from patients with CF were analyzed. The assay showed excellent analytical and diagnostic operative characteristics. We identified and experimentally validated 159 (of 188) CFTR mutations. The assay achieved detection rates of 95.0% and 95.6% in two large-scale case series of CF patients from central and northern Italy, respectively. These detection rates are among the highest reported so far with a genetic test for CF based on a mutation panel. This assay appears to be well suited for diagnostics, neonatal and carrier screening, and assisted reproduction, and it represents a considerable advantage in CF genetic counseling.

The Impact on Genetic Testing of Mutational Patterns of CFTR Gene in Different Clinical Macrocategories of Cystic Fibrosis

More than 2000 sequence variations of the cystic fibrosis transmembrane conductance regulator gene are known. The marked genetic heterogeneity, poor functional characterization of the vast majority of sequence variations, and an uncertain genotype-phenotype relationship complicate the definition of mutational search strategies. We studied the effect of the marked genetic heterogeneity detected in a case series comprising 610 patients of cystic fibrosis (CF), grouped in different clinical macrocategories, on the operative characteristics of the genetic test designed to fully characterize CF patients. The detection rate in each clinical macrocategory and at each mutational step was found to be influenced by genetic heterogeneity. The definition of a single mutational panel that is suitable for all clinical macrocategories proved impossible. Only for classic CF with pancreas insufficiency did a reduced number of mutations yield a detection rate of diagnostic value. All other clinical macrocategories required an extensive genetic search. The search for specific mutational classes appears to be useful only in specific CF clinical forms. A flowchart defining a mutational search that may be adopted for different CF clinical forms, optimized in respect to those already available, is proposed. The findings also have consequences for carrier screening strategies.

Alcohol Dependence and Serotonin Transporter Functional Polymorphisms 5-HTTLPR and rs25531 in an Italian Population

AIMS The role of the serotonin transporter gene (SLC6A4) in alcohol dependence (AD) is still unclear. In this paper, we have evaluated the association of the SLC6A4 gene polymorphisms 5-HTTLPR and rs25531 in AD and assessed the polymorphic patterns both in alcoholics and in healthy people of an Italian population. METHODS Genotyping of the 5-HTTLPR (L/S) and rs25531 (A/G) polymorphisms of the SLC6A4 gene was performed on 403 alcoholics outpatients and 427 blood donors. RESULTS Comparing AD and control populations and taking into account statistical correction for multiple testing, we found no statistically significant differences for 5-HTTLPR (L/S) and rs25531 polymorphisms in terms of either genotypes or alleles frequencies. By univariate ANOVA, a statistically significant difference was found in the onset of AD: the mean age of onset resulted to be of 25.4 years in males in respect to 28.1 in females. In particular in males, the early AD onset was different, in a statistically significant manner, depending on the presence of at least one S or Lg allele (24.6 years) in respect to La homozygotes (27.5 years) (P = 0.03). CONCLUSIONS These findings suggest that genetic factors contribute, together with gender and age, to the onset differences in alcohol-dependent phenotypes.