RESUMO
Quebec platelet disorder (QPD) is an autosomal dominant bleeding disorder linked to a region on chromosome 10 that includes PLAU, the urokinase plasminogen activator gene. QPD increases urokinase plasminogen activator mRNA levels, particularly during megakaryocyte differentiation, without altering expression of flanking genes. Because PLAU sequence changes were excluded as the cause of this bleeding disorder, we investigated whether the QPD mutation involved PLAU copy number variation. All 38 subjects with QPD had a direct tandem duplication of a 78-kb genomic segment that includes PLAU. This mutation was specific to QPD as it was not present in any unaffected family members (n = 114), unrelated French Canadians (n = 221), or other persons tested (n = 90). This new information on the genetic mutation will facilitate diagnostic testing for QPD and studies of its pathogenesis and prevalence. QPD is the first bleeding disorder to be associated with a gene duplication event and a PLAU mutation.
Assuntos
Transtornos Plaquetários/diagnóstico , Transtornos Plaquetários/genética , Dosagem de Genes , Duplicação Gênica , Ativador de Plasminogênio Tipo Uroquinase/genética , Adulto , Sequência de Bases , Transtornos Plaquetários/sangue , Cromossomos Humanos Par 10/genética , Feminino , Humanos , Hibridização in Situ Fluorescente , Cariotipagem , Masculino , Dados de Sequência Molecular , Prognóstico , Homologia de Sequência do Ácido NucleicoRESUMO
OBJECTIVE: Glycemia is a major risk factor for the development of long-term complications in type 1 diabetes; however, no specific genetic loci have been identified for glycemic control in individuals with type 1 diabetes. To identify such loci in type 1 diabetes, we analyzed longitudinal repeated measures of A1C from the Diabetes Control and Complications Trial. RESEARCH DESIGN AND METHODS: We performed a genome-wide association study using the mean of quarterly A1C values measured over 6.5 years, separately in the conventional (n = 667) and intensive (n = 637) treatment groups of the DCCT. At loci of interest, linear mixed models were used to take advantage of all the repeated measures. We then assessed the association of these loci with capillary glucose and repeated measures of multiple complications of diabetes. RESULTS: We identified a major locus for A1C levels in the conventional treatment group near SORCS1 (10q25.1, P = 7 x 10(-10)), which was also associated with mean glucose (P = 2 x 10(-5)). This was confirmed using A1C in the intensive treatment group (P = 0.01). Other loci achieved evidence close to genome-wide significance: 14q32.13 (GSC) and 9p22 (BNC2) in the combined treatment groups and 15q21.3 (WDR72) in the intensive group. Further, these loci gave evidence for association with diabetic complications, specifically SORCS1 with hypoglycemia and BNC2 with renal and retinal complications. We replicated the SORCS1 association in Genetics of Diabetes in Kidneys (GoKinD) study control subjects (P = 0.01) and the BNC2 association with A1C in nondiabetic individuals. CONCLUSIONS: A major locus for A1C and glucose in individuals with diabetes is near SORCS1. This may influence the design and analysis of genetic studies attempting to identify risk factors for long-term diabetic complications.