Defining stroke risks in sickle cell anemia

James F. Meschia; V. Shane Pankratz

doi:10.1038/ng0405-340

Defining stroke risks in sickle cell anemia

James F. Meschia, V. Shane Pankratz

Research output: Contribution to journal › Short survey › peer-review

6 Scopus citations

Abstract

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.

Original language	English (US)
Pages (from-to)	340-341
Number of pages	2
Journal	Nature Genetics
Volume	37
Issue number	4
DOIs	https://doi.org/10.1038/ng0405-340
State	Published - Apr 2005

ASJC Scopus subject areas

Genetics

Access to Document

10.1038/ng0405-340

Cite this

@article{323478e37be6427b93d95483d1d1db85,

title = "Defining stroke risks in sickle cell anemia",

abstract = "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.",

author = "Meschia, {James F.} and Pankratz, {V. Shane}",

year = "2005",

month = apr,

doi = "10.1038/ng0405-340",

language = "English (US)",

volume = "37",

pages = "340--341",

journal = "Nature Genetics",

issn = "1061-4036",

publisher = "Nature Publishing Group",

number = "4",

}

TY - JOUR

T1 - Defining stroke risks in sickle cell anemia

AU - Meschia, James F.

AU - Pankratz, V. Shane

PY - 2005/4

Y1 - 2005/4

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=16844386404&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=16844386404&partnerID=8YFLogxK

U2 - 10.1038/ng0405-340

DO - 10.1038/ng0405-340

M3 - Short survey

C2 - 15800645

AN - SCOPUS:16844386404

SN - 1061-4036

VL - 37

SP - 340

EP - 341

JO - Nature Genetics

JF - Nature Genetics

IS - 4

ER -

Defining stroke risks in sickle cell anemia

Abstract

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this