Susceptibilidade genética para cancro da mama

RESUMO: O cancro da mama é a patologia oncológica mais frequente nas mulheres sendo o responsável pela maior taxa de mortalidade por cancro no sexo feminino. Contudo, as causas inerentes a esta patologia permanecem por esclarecer. Nos últimos anos tem-se verificado que o risco para patologia neoplásica depende de factores ambientais e genéticos, estando estes últimos associados à variabilidade genética inter-individual. Polimorfismos genéticos em genes envolvidos no metabolismo de hormonas sexuais, de cancerígenos ambientais e na reparação da lesão genética, são potenciais candidatos a estarem associados à susceptibilidade individual para esta patologia. Assim, neste trabalho desenvolveram-se estudos de associação caso-controlo na população Portuguesa, com vista a avaliar-se o papel atribuído aos polimorfismos na susceptibilidade para cancro da mama. Foram seleccionados polimorfismos em genes envolvidos em diferentes vias mecanicistas: destoxificação de cancerígenos, metabolismo de estrogénios, reparação por excisão de bases, reparação por excisão de nucleótidos, reparação mismatch e reparação por recombinação homóloga. Os resultados obtidos revelaram associação entre os seguintes polimorfismos e a susceptibilidade individual para cancro da mama: os dois SNPs estudados no gene XRCC1 (Arg194Trp e Arg399Gln) e o SNP no gene XRCC3 (Thr241Met) após estratificação pelo status menopausico. Mediante estratificação por status de amamentação os SNPs identificados nos genes MnSOD (Val16Ala) e XRCC2 (Arg118His); um SNP no gene MLH3 (Leu844Pro), e por fim como resultado de interacção gene-gene as interacções descritas por MSH3 Ala1045Thr/MSH6 Gly39Glu e MSH4 Ala97Thr/MLH3 Leu844Pro. Os resultados obtidos e apresentados na presente dissertação, revelam que o estudo de polimorfismos pode representar um papel determinante na etiologia do cancro da mama. No entanto, mais estudos envolvendo estes mesmos polimorfismos em populações casuisticamente superiores serão uma mais-valia nos estudos de associação para esta neoplasia. Adicionalmente, a utilização da metodologia de Pools de DNA, poderá ser uma ferramenta útil na pré-selecção dos polimorfismos mais relevantes a estudar, na medida em que permite estimar a frequência alélica de cada SNP numa determinada população.-----------------------------------ABSTRACT: Breast cancer is the most common form of cancer among women, being the responsible for the highest mortality rate from cancer among the female sex. However, the main causes related to this pathology remain unclear. The risk of neoplasic disease has been connected with genetic and environmental factors. In fact, genes and the environment share the stage for most, if not all, common non-familial cancers, and are related to individual susceptibility. Genetic polymorphisms identified in genes encoding enzymes involved in estrogen metabolism, xenobiotics and DNA repair pathways are believed to be candidates for associations with breast cancer. Therefore, it was our intention to develop case-control studies among the Portuguese population, in order to evaluate the potential role of several genetic polymorphisms in breast cancer susceptibility. We selected polymorphisms in genes involved in different pathways: carcinogenic detoxification, estrogen metabolism, base excision repair, nucleotide excision repair, mismatch repair and double strand break repair by homologous recombination. The results obtained revealed potential associations between some polymorphisms studied and individual susceptibility to breast cancer. Regarding this fact, our results suggest the potential involvement of two XRCC1 gene polymorphisms (Arg194Trp and Arg399Gln) and XRCC3 gene polymorphism (Thr241Met) after stratification to menopausal status and after stratification to breastfeeding status an association of MnSOD gene polymorphism (Val16Ala) and XRCC2 (Arg188His) with the disease. The SNP identified in MLH3 gene (Leu844Pro), and the interaction gene-gene described by MSH3 Ala1045Thr/MSH6 Gly39Glu and MSH4 Ala97Thr/MLH3 Leu844Pro were also related to breast cancer susceptibility. The results shown in the present dissertation have revealed the potential role of polymorphisms in breast cancer etiology. However, further studies will be needed with larger populations to confirm these results. Additionally, the use of DNA pools methodology, as a pre-selection tool, could allow the identification of the most relevant polymorphisms to be studied, estimating the allelic frequency of each SNPs in different populations.

Time-frequency and time-scale characterisation of the beat-by-beat high-resolution electrocardiogram

Proceedings of the Sixth Portuguese Conference on Bioemedical Engineering faro, Portugal

Radio frequency identification: o futuro da gestão de stocks na grande distribuição

Dissertação apresentada como requisito parcial para obtenção do grau de Mestre em Estatística e Gestão de Informação

How to Measure the Deterrence Effects of Merger Policy: Frequency or Composition?

We show that the number of merger proposals (frequency-based deterrence) is a more appropriate indicator of underlying changes in merger policy than the relative anti-competitiveness of merger proposals (composition-based deterrence). This has strong implications for the empirical analysis of the deterrence effects of merger policy enforcement, and potential implications regarding how to reduce anti-competitive merger proposals.

Comparative analysis of time-frequency methods estimating the time-varying microstructure of sleep EEG spindles

Proceedings of the Information Technology Applications in Biomedicine, Ioannina - Epirus, Greece, October 26-28, 2006

Vibroacoustic disease II: The biological and acoustical basis of low frequency noise induced pathology

Proceedings Institute of Acoustics (UK); vol. 25, nº2, p. 72-78.

A aplicação de redes neuronais na deteção da influência do High Frequency Trading na negociação de ações (caso português)

Dissertação apresentada como requisito parcial para obtenção do grau de Mestre em Estatística e Gestão da Informação

Rebalancing frequency and the welfare cost of inflation

Cash-in-advance models usually require agents to reallocate money and bonds in fixed periods, every month or quarter, for example. I show that fixed periods underestimate the welfare cost of inflation. I use a model in which agents choose how often they exchange bonds for money. In the benchmark specification, the welfare cost of ten percent instead of zero inflation increases from 0.1 percent of income with fixed periods to one percent with optimal periods. The results are robust to different preferences, to different compositions of income in bonds or money, and to the introduction of capital and labor.

Human activity recognition with accelerometry: novel time and frequency features

Human Activity Recognition systems require objective and reliable methods that can be used in the daily routine and must offer consistent results according with the performed activities. These systems are under development and offer objective and personalized support for several applications such as the healthcare area. This thesis aims to create a framework for human activities recognition based on accelerometry signals. Some new features and techniques inspired in the audio recognition methodology are introduced in this work, namely Log Scale Power Bandwidth and the Markov Models application. The Forward Feature Selection was adopted as the feature selection algorithm in order to improve the clustering performances and limit the computational demands. This method selects the most suitable set of features for activities recognition in accelerometry from a 423th dimensional feature vector. Several Machine Learning algorithms were applied to the used accelerometry databases – FCHA and PAMAP databases - and these showed promising results in activities recognition. The developed algorithm set constitutes a mighty contribution for the development of reliable evaluation methods of movement disorders for diagnosis and treatment applications.

Rebalancing frequency and the welfare cost of inflation

Cash-in-advance models usually require agents to reallocate money and bonds in fixed periods. Every month or quarter, for example. I show that fixed periods underestimate the welfare cost of inflation. I use a model in which agents choose how often they exchange bonds for money. In the benchmark specification, the welfare cost of 10 percent instead of 0 inflation increases from 0.1 percent of income with fixed periods to 1 percent with optimal periods. The results are robust to different references, to different compositions of income in bonds or money, and to the introduction of capital and labor.

Electrohysterogram signal component cataloging with spectral and time-frequency methods

The Electrohysterogram (EHG) is a new instrument for pregnancy monitoring. It measures the uterine muscle electrical signal, which is closely related with uterine contractions. The EHG is described as a viable alternative and a more precise instrument than the currently most widely used method for the description of uterine contractions: the external tocogram. The EHG has also been indicated as a promising tool in the assessment of preterm delivery risk. This work intends to contribute towards the EHG characterization through the inventory of its components which are: • Contractions; • Labor contractions; • Alvarez waves; • Fetal movements; • Long Duration Low Frequency Waves; The instruments used for cataloging were: Spectral Analysis, parametric and non-parametric, energy estimators, time-frequency methods and the tocogram annotated by expert physicians. The EHG and respective tocograms were obtained from the Icelandic 16-electrode Electrohysterogram Database. 288 components were classified. There is not a component database of this type available for consultation. The spectral analysis module and power estimation was added to Uterine Explorer, an EHG analysis software developed in FCT-UNL. The importance of this component database is related to the need to improve the understanding of the EHG which is a relatively complex signal, as well as contributing towards the detection of preterm birth. Preterm birth accounts for 10% of all births and is one of the most relevant obstetric conditions. Despite the technological and scientific advances in perinatal medicine, in developed countries, prematurity is the major cause of neonatal death. Although various risk factors such as previous preterm births, infection, uterine malformations, multiple gestation and short uterine cervix in second trimester, have been associated with this condition, its etiology remains unknown [1][2][3].

Frequency-domain receiver design for doubly-selective channels

This work is devoted to the broadband wireless transmission techniques, which are serious candidates to be implemented in future broadband wireless and cellular systems, aiming at providing high and reliable data transmission and concomitantly high mobility. In order to cope with doubly-selective channels, receiver structures based on OFDM and SC-FDE block transmission techniques, are proposed, which allow cost-effective implementations, using FFT-based signal processing. The first subject to be addressed is the impact of the number of multipath components, and the diversity order, on the asymptotic performance of OFDM and SC-FDE, in uncoded and for different channel coding schemes. The obtained results show that the number of relevant separable multipath components is a key element that influences the performance of OFDM and SC-FDE schemes. Then, the improved estimation and detection performance of OFDM-based broadcasting systems, is introduced employing SFN (Single Frequency Network) operation. An initial coarse channel is obtained with resort to low-power training sequences estimation, and an iterative receiver with joint detection and channel estimation is presented. The achieved results have shown very good performance, close to that with perfect channel estimation. The next topic is related to SFN systems, devoting special attention to time-distortion effects inherent to these networks. Typically, the SFN broadcast wireless systems employ OFDM schemes to cope with severely time-dispersive channels. However, frequency errors, due to CFO, compromises the orthogonality between subcarriers. As an alternative approach, the possibility of using SC-FDE schemes (characterized by reduced envelope fluctuations and higher robustness to carrier frequency errors) is evaluated, and a technique, employing joint CFO estimation and compensation over the severe time-distortion effects, is proposed. Finally, broadband mobile wireless systems, in which the relative motion between the transmitter and receiver induces Doppler shift which is different or each propagation path, is considered, depending on the angle of incidence of that path in relation to the direction of travel. This represents a severe impairment in wireless digital communications systems, since that multipath propagation combined with the Doppler effects, lead to drastic and unpredictable fluctuations of the envelope of the received signal, severely affecting the detection performance. The channel variations due this effect are very difficult to estimate and compensate. In this work we propose a set of SC-FDE iterative receivers implementing efficient estimation and tracking techniques. The performance results show that the proposed receivers have very good performance, even in the presence of significant Doppler spread between the different groups of multipath components.