Children and young adults with sickle cell anemia at risk for stroke are identified principally by screening for cerebral vasculopathy using transcranial Doppler ultrasonography. Investigators now show how Bayesian networks can generate useful predictive models and highlight relationships between genes and the occurrence of stroke in those with sickle cell anemia.
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Meschia, J., Pankratz, V. Defining stroke risks in sickle cell anemia. Nat Genet 37, 340–341 (2005). https://doi.org/10.1038/ng0405-340
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DOI: https://doi.org/10.1038/ng0405-340