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1.
Mol Genet Genomic Med ; 12(10): e70013, 2024 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-39373365

RESUMO

BACKGROUND: Myotonic Dystrophy type 1 (DM1) is an autosomal dominant disease with anticipation due to increased number of CTG repeats in the DMPK gene. METHODS: This retrospective, cohort study in Iceland assessed prevalence of DM1, molecular pathology, and patient ascertainment. Data was collected from all major hospitals in Iceland, Medical Director of Health, and independent clinics. Cohort criteria were diagnosis of DM1 on January 1, 2021, or time of death. Population-based Icelandic Genealogy Database of the Genetical Committee at the University of Iceland was used for genealogy. RESULTS: In Iceland, 221 individuals, including 19 obligate carriers, had been diagnosed with DM1 of which 144 were alive giving a point prevalence of 39 per 100,000 (four times the world average of 9.3). Genealogy analysis identified 45 first-degree families. Age-adjusted prevalence ranged between 11 and 66 per 100,000. Average potential years of life lost were 20.5 per person. Where information was available, 63% of ascertainment was based on family history in cascade testing. CONCLUSION: The differences in age-adjusted prevalence suggest that the overall point prevalence is an underestimation due to underdiagnosis in younger age groups and lethality in oldest age group. Our data supports use of cascade testing to improve DM1 ascertainment.


Assuntos
Distrofia Miotônica , Humanos , Distrofia Miotônica/genética , Distrofia Miotônica/patologia , Distrofia Miotônica/epidemiologia , Islândia/epidemiologia , Adulto , Masculino , Feminino , Pessoa de Meia-Idade , Adolescente , Criança , Idoso , Miotonina Proteína Quinase/genética , Pré-Escolar , Prevalência , Adulto Jovem , Linhagem , Idoso de 80 Anos ou mais , Estudos Retrospectivos , Lactente
2.
Fam Cancer ; 18(2): 153-160, 2019 04.
Artigo em Inglês | MEDLINE | ID: mdl-30251169

RESUMO

A comprehensive pedigree, usually provided by the counselee and verified by medical records, is essential for risk assessment in cancer genetic counseling. Collecting the relevant information is time-consuming and sometimes impossible. We studied the use of electronically ascertained pedigrees (EGP). The study group comprised women (n = 1352) receiving HBOC genetic counseling between December 2006 and December 2016 at Landspitali in Iceland. EGP's were ascertained using information from the population-based Genealogy Database and Icelandic Cancer Registry. The likelihood of being positive for the Icelandic founder BRCA2 pathogenic variant NM_000059.3:c.767_771delCAAAT was calculated using the risk assessment program Boadicea. We used this unique data to estimate the optimal size of pedigrees, e.g., those that best balance the accuracy of risk assessment using Boadicea and cost of ascertainment. Sub-groups of randomly selected 104 positive and 105 negative women for the founder BRCA2 PV were formed and Receiver Operating Characteristics curves compared for efficiency of PV prediction with a Boadicea score. The optimal pedigree size included 3° relatives or up to five generations with an average no. of 53.8 individuals (range 9-220) (AUC 0.801). Adding 4° relatives did not improve the outcome. Pedigrees including 3° relatives are difficult and sometimes impossible to generate with conventional methods. Pedigrees ascertained with data from pre-existing genealogy databases and cancer registries can save effort and contain more information than traditional pedigrees. Genetic services should consider generating EGP's which requires access to an accurate genealogy database and cancer registry. Local data protection laws and regulations have to be addressed.


Assuntos
Neoplasias da Mama/genética , Bases de Dados Genéticas/estatística & dados numéricos , Aconselhamento Genético/métodos , Anamnese/métodos , Linhagem , Proteína BRCA2/genética , Neoplasias da Mama/epidemiologia , Feminino , Predisposição Genética para Doença , Humanos , Islândia/epidemiologia , Incidência , Sistema de Registros/estatística & dados numéricos
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