6 resultados para FH-CDMA

em Instituto Nacional de Saúde de Portugal


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Aim: Familial Hypercholesterolemia (FH) is a common autosomal dominant disorder, caused by mutations in genes involved in cholesterol’s clearance (LDLR, APOB, PCSK 9). Clinical diagnosis is usually based on high total cholesterol or LDL-C levels and family history of premature coronary heart disease. Using an extended lipid profile of paediatric dyslipidemic patients, we aim to identify biomarkers for a better diagnosis of FH in clinical settings.

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Aims: Mutations in the LDLR gene are the major cause of familial hypercholesterolaemia (FH), which results in defective catabolism of LDL leading to premature coronary heart disease. Presently, more than 1700 different mutations in the LDLR gene have been described as causing FH but the majority of them remain without functional characterization. In the Portuguese Familial Hypercholesterolemia Study (PFHS), 123 LDLR alterations were found in 243 index patients and their relatives up to date. Until now, 70 of these alterations already have a final classification of pathogenic and 15 have been proved by in vitro studies to be non-pathogenic. The aim of the present work is to functionally characterize 16 LDLR missense alterations found in Portuguese FH patients and worldwide.

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Aims: Familial hypercholesterolemia (FH) is an autosomal dominant disorder with increased cardiovascular risk, caused by mutations in LDLR, APOB and PCSK 9 genes. Although it is described that over 1700 variants have been found, none of the existing databases are completely updated. The aim of this work is to construct a FH database in order to provide a unique source of verified information about variants associated with FH for a more accurate genetic diagnosis.

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Introduction: Familial hypercholesterolaemia (FH) is a common genetic cause of premature coronary heart disease (CHD) due to lifelong elevated plasma low-density lipoprotein (LDL) levels. Worldwide only 40 % of patients (FH+) with a clinical diagnosis of FH carry a mutation in any of the three genes (namely: LDLR, APOB, PCSK 9) that are currently known to be associated to the disease. We guess that the remaining 60 % of the patients (FH-) probably includes a high percentage of individuals with a polygenic form of dyslipidemia or an environmental form of hypercholesterolemia and a small percentage of individuals with mutations in some novel genes, never associated before with dyslipidemias. Here we present the preliminary results of an integrative approach intended to identify new candidate genes and to dissect pathways that can be dysregulated in the disease.

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The Iberoamerican Familial Hypercholesterolemia network (IBAFH_N) was created in 2013 to promote awareness for Familial Hypercholesterolemia (FH) in these countries – Argentina, Brazil, Chile, Mexico, Portugal, Spain, Uruguay and more recently Colombia – that share a past and history. The aim of this work was to perform a molecular analysis of FH mutations in Iberoamerica.

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Aims: Familial hypercholesterolemia (FH) is a genetic disorder of lipid metabolism, clinically characterised by high levels of low-density lipoprotein cholesterol (LDL-C) that leads to cholesterol accumulation in tendons and arteries, premature atherosclerosis and increased risk of premature coronary heart disease. In 1999, the Portuguese FH Study was established at the National Institute of Health to identify the genetic cause of hypercholesterolemia in individuals with a clinical diagnosis of FH and to perform an epidemiologic study to determine the prevalence and distribution of FH in Portugal. In the last 16 years, a genetic defect was identified in 749 patients, representing 3. 7 % of the cases estimated to exist in Portugal. Index patients were included in this study using the Simon Broome (SB) criteria. However, there are different FH clinical criteria to diagnose index cases. Since there are no clinical criteria to identify relatives with FH, the aim of this work was to investigate if a diagnostic tool based on population specific 95 th percentile improves the clinical identification of Portuguese FH patients comparing with SB criteria.