4 resultados para Korpijaakko-Huhta, Anna-Maija: Kommunikoinnin häiriöt

em Universidade do Minho


Relevância:

20.00% 20.00%

Publicador:

Resumo:

Dissertação de mestrado em Contabilidade

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Esta comunicação, baseando-se num extenso corpus oral que está a ser recolhido, procurará refletir de que modo a língua realizada oralmente nos permite perceber o que realmente são e como funcionam as línguas para além da dimensão formalizada da escrita. Pretende-se demonstrar que é a linguagem em uso que melhor evidencia muitos aspetos impossíveis de perceber por uma designada do sistema. Assim, procurar-se-á verificar até que ponto a verdadeira realização linguística da oralidade respeita a noção de frase e de norma, bem assim como especificamente realiza várias dimensões lexicais e pragmáticas.

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Tese de Doutoramento em Ciência e Engenharia de Polímeros e Compósitos

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Type 2 diabetes (T2D) has been suggested to be a risk factor for multiple myeloma (MM), but the relationship between the two traits is still not well understood. The aims of this study were to evaluate whether 58 genome-wide-association-studies (GWAS)-identified common variants for T2D influence the risk of developing MM and to determine whether predictive models built with these variants might help to predict the disease risk. We conducted a case–control study including 1420 MM patients and 1858 controls ascertained through the International Multiple Myeloma (IMMEnSE) consortium. Subjects carrying the KCNQ1rs2237892T allele or the CDKN2A-2Brs2383208G/G, IGF1rs35767T/T and MADDrs7944584T/T genotypes had a significantly increased risk of MM (odds ratio (OR)=1.32–2.13) whereas those carrying the KCNJ11rs5215C, KCNJ11rs5219T and THADArs7578597C alleles or the FTOrs8050136A/A and LTArs1041981C/C genotypes showed a significantly decreased risk of developing the disease (OR=0.76–0.85). Interestingly, a prediction model including those T2D-related variants associated with the risk of MM showed a significantly improved discriminatory ability to predict the disease when compared to a model without genetic information (area under the curve (AUC)=0.645 vs AUC=0.629; P=4.05×10-06). A gender-stratified analysis also revealed a significant gender effect modification for ADAM30rs2641348 and NOTCH2rs10923931 variants (Pinteraction=0.001 and 0.0004, respectively). Men carrying the ADAM30rs2641348C and NOTCH2rs10923931T alleles had a significantly decreased risk of MM whereas an opposite but not significant effect was observed in women (ORM=0.71 and ORM=0.66 vs ORW=1.22 and ORW=1.15, respectively). These results suggest that TD2-related variants may influence the risk of developing MM and their genotyping might help to improve MM risk prediction models.