Description of rare mutations and a novel variant in Brazilian patients with Cystic Fibrosis: a case series from a referral center in the Bahia State.
Laís Ribeiro MotaValmir Machado de Melo FilhoLorena Lemos de CastroDaniel Fantozzi GarciaRegina Terse-RamosMaria Betânia Pereira TorallesRenata Lúcia Leite Ferreira de LimaEdna Lúcia Santos de SouzaPublished in: Molecular biology reports (2018)
Knowledge of the genetic profile of Cystic Fibrosis (CF) contributes to a better understanding of the genotype/phenotype relationship, particularly in mixed populations such as in Brazil. To describe clinical data of CF patients with rare or not yet observed CFTR gene mutations in Brazil. It was a case series of CF patients followed-up at a referral center. Clinical and laboratory data were obtained through medical records. Molecular analysis of the mutations was performed by conventional methods and/or by next-generation sequencing. Ten patients were studied, seven had five pathogenic mutations without previous description in Brazil (Q1100P, Y109C, A107P, E1409K and K162E), one of which has not yet been reported in patients with CF (A107P). Among the seven patients, three (two siblings) had the second mutant allele of rare occurrence among Brazilians patients (G1069R and 2307insA). Three other patients also had at least one rare variant (V201M, S466X and G1069R). The age of the CF diagnosis ranged from 1 to 190 months in the ten cases and the main clinical manifestations were respiratory symptoms and difficulty in gaining weight. All but one patient presented clinical and/or laboratory data compatible with pancreatic insufficiency. The identification of rare or not yet described CFTR mutations in patients with CF in Brazil highlights the high genetic heterogeneity in this population. Knowledge of the genotypic profile of Brazilian CF patients can contribute to the development of specific mutation panels for the genetic investigation targeting each region of the country, as well as helping to understand the complex genotype/phenotype relationship, especially in mixed populations.
Keyphrases
- cystic fibrosis
- end stage renal disease
- ejection fraction
- newly diagnosed
- chronic kidney disease
- prognostic factors
- peritoneal dialysis
- pseudomonas aeruginosa
- healthcare
- chronic obstructive pulmonary disease
- gene expression
- body mass index
- autism spectrum disorder
- machine learning
- genome wide
- big data
- patient reported
- intellectual disability
- circulating tumor cells
- cell free