Linked Life Data

19931159

Source:http://linkedlifedata.com/resource/pubmed/id/19931159

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
6
pubmed:dateCreated
2009-11-25
pubmed:abstractText
The chromosomal microarray now plays a central role in the evaluation of children with neurologic developmental disorders, including global developmental delay, mental retardation, and increasingly also autistic spectrum disorders. As arrays become more sophisticated and their use more widespread, the child neurologist is likely to encounter abnormal chromosomal microarray results. The interpretation of such data is not always straightforward. This review article discusses in a practical manner the nature of chromosomal microarray results, describes an algorithm to help the child neurologist navigate a variety of testing scenarios, and proposes a standardized system for ranking array data based on levels of evidence of genotype-phenotype correlation.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Dec
pubmed:issn
1873-5150
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
41
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
391-8
pubmed:meshHeading
pubmed:year
2009
pubmed:articleTitle
Chromosomal microarray interpretation: what is a child neurologist to do?
pubmed:affiliation
Division of Pediatric and Developmental Neurology, Department of Neurology, Washington University School of Medicine, Campus Box 8111, 660 South Euclid Avenue, St. Louis, MO 63110-1093, USA. paciorkowskia@neuro.wustl.edu
pubmed:publicationType
Journal Article, Review