Suely Ruiz Giolo

Bio: Suely Ruiz Giolo is an academic researcher from Federal University of Paraná. The author has contributed to research in topics: Population & Psychology. The author has an hindex of 9, co-authored 29 publications receiving 375 citations. Previous affiliations of Suely Ruiz Giolo include University of São Paulo.

Brazilian urban population genetic structure reveals a high degree of admixture

Abstract: Advances in genotyping technologies have contributed to a better understanding of human population genetic structure and improved the analysis of association studies. To analyze patterns of human genetic variation in Brazil, we used SNP data from 1129 individuals – 138 from the urban population of Sao Paulo, Brazil, and 991 from 11 populations of the HapMap Project. Principal components analysis was performed on the SNPs common to these populations, to identify the composition and the number of SNPs needed to capture the genetic variation of them. Both admixture and local ancestry inference were performed in individuals of the Brazilian sample. Individuals from the Brazilian sample fell between Europeans, Mexicans, and Africans. Brazilians are suggested to have the highest internal genetic variation of sampled populations. Our results indicate, as expected, that the Brazilian sample analyzed descend from Amerindians, African, and/or European ancestors, but intermarriage between individuals of different ethnic origin had an important role in generating the broad genetic variation observed in the present-day population. The data support the notion that the Brazilian population, due to its high degree of admixture, can provide a valuable resource for strategies aiming at using admixture as a tool for mapping complex traits in humans.

Fit of cast commercially pure titanium and Ti-6Al-4V alloy crowns before and after marginal refinement by electrical discharge machining

Abstract: Statement of Problem. Titanium has been suggested as a replacement for alloys currently used in single-tooth restorations and fixed partial dentures. However, difficulties in casting have resulted in incomplete margins and discrepancies in marginal fit. Purpose. This study evaluated and compared the marginal fit of crowns fabricated from a commercially pure titanium (CP Ti) and from Ti-6Al-4V alloy with crowns fabricated from a Pd-Ag alloy that served as a control. Evaluations were performed before and after marginal refinement by electrical discharge machining (EDM). Material and Methods. Forty-five bovine teeth were prepared to receive complete cast crowns. Stone and copper-plated dies were obtained from impressions. Fifteen crowns were cast with each alloy (CP Ti, Ti-6Al-4V, and Pd-Ag). Marginal fit measurements (in micrometers) were recorded at 4 reference points on each casting with a traveling microscope. Marginal refinement with EDM was conducted on the titanium-based crowns, and measurements were repeated. Data were analyzed with the Kruskal-Wallis test, paired t test, and independent t test at a 1% probability level. Results. The Kruskal-Wallis test showed significant differences among mean values of marginal fit for the as-cast CP Ti crowns (mean [SD], 83.9 [26.1] μm) and the other groups: Ti-6Al-4V (50.8 [17.2] μm) and Pd-Ag (45.2 [10.4] μm). After EDM marginal refinement, significant differences were detected among the Ti-6Al-4V crowns (24.5 [10.9] μm) and the other 2 groups: CP Ti (50.6 [20.0] μm) and Pd-Ag (not modified by EDM). Paired t test results indicated that marginal refinement with EDM effectively improved the fit of CP Ti crowns (from 83.9 to 50.6 μm) and Ti-6Al-4V crowns (from 50.8 to 24.5 μm). However, the difference in improvement between the two groups was not significant by t test. Conclusion. Within the limitations of this study, despite the superior results for Ti-6Al-4V, both groups of titanium-based crowns had clinically acceptable marginal fits. After EDM marginal refinement, the fit of cast CP Ti and Ti-6Al-4V crowns improved significantly. (J Prosthet Dent 2002;88:467-72.)

Fatores associados à duração do aleitamento materno em crianças de famílias de baixa renda da região sul da cidade de Curitiba, Paraná, Brasil

Abstract: Various studies have focused on breastfeeding and the possible factors associated with early weaning. This study aimed to identify risk factors and protective factors for duration of breastfeeding in low-income families in southern Curitiba, Parana State, Brazil. A cohort study from November 2006 to March 2007 included 118 mothers of children less than two years of age and enrolled in the TC Health Unit (USTC) located in the southern area of Curitiba. Statistical analyses using the Kaplan-Meier method and Cox regression model identified the following protective factors for breastfeeding: mother's awareness of the benefits of extended breastfeeding, exclusive feeding with mother's breast milk while in the maternity ward, and rooming-in. Factors contributing to early weaning were low birth weight, mother's work outside the home, and difficulties experienced by the mother in breastfeeding during the first days postpartum.

Fear of COVID-19 scale: Assessing fear of the coronavirus pandemic in Brazil.

Abstract: This study aimed to assess the fear of COVID-19 in the Brazilian population, validate the FCV-19S and examine the association of its scores with sociodemographic and pandemic-related variables. A total of 7430 participants were recruited in an online survey. From the factor analysis results, FCV-19S proved to be suitable, indicating a higher level of fear for women and also for those aged 18-29 years. Besides, belonging to a high-risk group and having relatives diagnosed or deceased by COVID-19 showed a positive association with fear. These findings pointed out the most vulnerable groups, which can assist in planning mental health actions.

Survival Analysis of Patients with Heart Failure: Implications of Time-Varying Regression Effects in Modeling Mortality

Abstract: Background Several models have been designed to predict survival of patients with heart failure. These, while available and widely used for both stratifying and deciding upon different treatment options on the individual level, have several limitations. Specifically, some clinical variables that may influence prognosis may have an influence that change over time. Statistical models that include such characteristic may help in evaluating prognosis. The aim of the present study was to analyze and quantify the impact of modeling heart failure survival allowing for covariates with time-varying effects known to be independent predictors of overall mortality in this clinical setting.

Human biochemical genetics

Abstract: So far in this course we have dealt entirely with the evolution of characters that are controlled by simple Mendelian inheritance at a single locus. There are notes on the course website about gametic disequilibrium and how allele frequencies change at two loci simultaneously, but we didn’t discuss them. In every example we’ve considered we’ve imagined that we could understand something about evolution by examining the evolution of a single gene. That’s the domain of classical population genetics. For the next few weeks we’re going to be exploring a field that’s actually older than classical population genetics, although the approach we’ll be taking to it involves the use of population genetic machinery. If you know a little about the history of evolutionary biology, you may know that after the rediscovery of Mendel’s work in 1900 there was a heated debate between the “biometricians” (e.g., Galton and Pearson) and the “Mendelians” (e.g., de Vries, Correns, Bateson, and Morgan). Biometricians asserted that the really important variation in evolution didn’t follow Mendelian rules. Height, weight, skin color, and similar traits seemed to