Institution
Universidade Federal de Pelotas
Education•Pelotas, Brazil•
About: Universidade Federal de Pelotas is a education organization based out in Pelotas, Brazil. It is known for research contribution in the topics: Population & Cohort study. The organization has 10999 authors who have published 19061 publications receiving 314862 citations.
Topics: Population, Cohort study, Body mass index, Cohort, Health care
Papers published on a yearly basis
Papers
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TL;DR: A map-based, finished quality sequence that covers 95% of the 389 Mb rice genome, including virtually all of the euchromatin and two complete centromeres, and finds evidence for widespread and recurrent gene transfer from the organelles to the nuclear chromosomes.
Abstract: Rice, one of the world's most important food plants, has important syntenic relationships with the other cereal species and is a model plant for the grasses. Here we present a map-based, finished quality sequence that covers 95% of the 389 Mb genome, including virtually all of the euchromatin and two complete centromeres. A total of 37,544 non-transposable-element-related protein-coding genes were identified, of which 71% had a putative homologue in Arabidopsis. In a reciprocal analysis, 90% of the Arabidopsis proteins had a putative homologue in the predicted rice proteome. Twenty-nine per cent of the 37,544 predicted genes appear in clustered gene families. The number and classes of transposable elements found in the rice genome are consistent with the expansion of syntenic regions in the maize and sorghum genomes. We find evidence for widespread and recurrent gene transfer from the organelles to the nuclear chromosomes. The map-based sequence has proven useful for the identification of genes underlying agronomic traits. The additional single-nucleotide polymorphisms and simple sequence repeats identified in our study should accelerate improvements in rice production.
3,423 citations
TL;DR: It is concluded that damage suffered in early life leads to permanent impairment, and might also affect future generations, as undernutrition is associated with lower human capital and its prevention will probably bring about important health, educational, and economic benefits.
3,341 citations
TL;DR: In this article, the authors used a Bayesian hierarchical model to estimate trends in diabetes prevalence, defined as fasting plasma glucose of 7.0 mmol/L or higher, or history of diagnosis with diabetes, or use of insulin or oral hypoglycaemic drugs in 200 countries and territories in 21 regions, by sex and from 1980 to 2014.
2,782 citations
TL;DR: Conceptual frameworks provide guidance for the use of multivariate techniques and aid the interpretation of their results in the light of social and biological knowledge.
Abstract: Background This paper discusses appropriate strategies for multivariate data analysis in epidemiological studies. Methods In studies where determinants of disease are sought, it is suggested that the complex hierarchical inter-relationships between these determinants are best managed through the use of conceptual frameworks. Failure to take these aspects into consideration is common in the epidemiological literature and leads to underestimation of the effects of distal determinants. Results An example of this analytical approach, which is not based purely on statistical associations, is given for assessing determinants of mortality due to diarrhoea in children. Conclusions Conceptual frameworks provide guidance for the use of multivariate techniques and aid the interpretation of their results in the light of social and biological knowledge.
2,219 citations
TL;DR: This worldwide study showed higher levels and more advanced staging of spirometrically confirmed COPD than have typically been reported and variations in disease prevalence-other factors also seem to be important.
2,038 citations
Authors
Showing all 11122 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| George Davey Smith | 224 | 2540 | 248373 |
| Debbie A Lawlor | 147 | 1114 | 101123 |
| Cesar G. Victora | 131 | 907 | 82299 |
| Elisabete Weiderpass | 126 | 982 | 124679 |
| Michael Farrell | 103 | 753 | 35615 |
| Fernando C. Barros | 81 | 516 | 25480 |
| Santosh Kumar | 80 | 1196 | 29391 |
| Kate Tilling | 80 | 465 | 26215 |
| Lars Bo Andersen | 80 | 442 | 40858 |
| Fengwangdong Zhang | 79 | 644 | 27762 |
| G. G. Da Silveira | 79 | 216 | 20915 |
| Aluísio J D Barros | 74 | 482 | 29454 |
| Gabriele Wulf | 74 | 173 | 18568 |
| Pedro C. Hallal | 73 | 517 | 30712 |
| Wenxing Fang | 69 | 586 | 21161 |