Genetic dissection and prognostic modeling of overt stroke in sickle cell anemia
By Paola Sebastiani, Marco Ramoni, V. Nolan, C. Baldwin, M. Steinberg. 2005
349 citations recorded by the source corpus.
Subfields: Genetics, Molecular Biology, Pediatrics, Perinatology and Child Health, Computational Biology & Bioinformatics, Medical & Health AI
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Genetics
- Duncan C. Thomas
- Blaz Zupan
- Riccardo Bellazzi
- Andrew J. Ewald
- Jenny X. Sun
- Morgan L. Truitt
- G. Peeters
- N. Solovieff
In Molecular Biology
- Zena Werb
- M. Egeblad
- Andrew J. Ewald
- Duncan C. Thomas
- Blaz Zupan
- Riccardo Bellazzi
- Paola Sebastiani
- K. Hajjar
In Pediatrics, Perinatology and Child Health
In Computational Biology & Bioinformatics
In Medical & Health AI
Citations in the corpus
- Guidelines for the Primary Prevention of Stroke (2011, positive): “A study evaluated 108 SNPs in 39 candidate genes in 1398 individuals with SCD using bayesian networks and found that 31 SNPs in 12 genes interact with fetal hemoglobin to modulate the risk of stroke.(577) This network of interactions includes 3 genes in the transforming growth factor-β pathway and s”
- Gene-Environment-Wide Association Studies: Emerging Approaches (2010, positive): “, and patterns of interaction effects have been mined from GWA data to discover novel pathway”
- Predictive data mining in clinical medicine: Current issues and guidelines (2008, methodology): “[32] use Bayesian networks to extract the relaionships between SNPs and the risk of a stroke in patients uffering from Sickle cell anemia.”
- Naïve Bayesian Classifier and Genetic Risk Score for Genetic Risk Prediction of a Categorical Trait: Not so Different after all! (2012, methodology): “…forests (Bureau et al., 2005; McKinney et al., 2006), rule induction (Sebastiani and Perls, 2010; Stengard et al., 2010), multifactor dimensionality reduction (Moore et al., 2006), and Bayesian networks (Rodin and Boerwinkle, 2005; Sebastiani et al., 2005; Jiang et al., 2011; Kang et al., 2011a).”
- Visualizing stromal cell dynamics in different tumor microenvironments by spinning disk confocal microscopy (2008, background): “In sickle cell anemia, 6-8% of affected individuals also show overt stroke, a phenotype caused by a genetic modifier from the TGF-β signaling pathway (Sebastiani et al., 2005).”
- Fibrinolysis and the control of blood coagulation. (2015, background): “Polymorphisms in annexin A2 have also been associated with vascular occlusion in patients with sickle cell disease [56,57].”