Literature DB >> 19931159

Chromosomal microarray interpretation: what is a child neurologist to do?

Alex R Paciorkowski1, Min Fang.   

Abstract

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.

Entities:  

Mesh:

Year:  2009        PMID: 19931159     DOI: 10.1016/j.pediatrneurol.2009.05.003

Source DB:  PubMed          Journal:  Pediatr Neurol        ISSN: 0887-8994            Impact factor:   3.372


  6 in total

Review 1.  "Idiopathic" mental retardation and new chromosomal abnormalities.

Authors:  Cinzia Galasso; Adriana Lo-Castro; Nadia El-Malhany; Paolo Curatolo
Journal:  Ital J Pediatr       Date:  2010-02-14       Impact factor: 2.638

Review 2.  Epilepsy and the new cytogenetics.

Authors:  John C Mulley; Heather C Mefford
Journal:  Epilepsia       Date:  2011-01-26       Impact factor: 5.864

3.  Genomic differences between estrogen receptor (ER)-positive and ER-negative human breast carcinoma identified by single nucleotide polymorphism array comparative genome hybridization analysis.

Authors:  Min Fang; Jessica Toher; Martin Morgan; Jerry Davison; Susan Tannenbaum; Kevin Claffey
Journal:  Cancer       Date:  2010-11-29       Impact factor: 6.860

4.  Physicians' perspectives on the uncertainties and implications of chromosomal microarray testing of children and families.

Authors:  M Reiff; K Ross; S Mulchandani; K J Propert; R E Pyeritz; N B Spinner; B A Bernhardt
Journal:  Clin Genet       Date:  2012-09-18       Impact factor: 4.438

5.  Evidence-based genomic diagnosis characterized chromosomal and cryptic imbalances in 30 elderly patients with myelodysplastic syndrome and acute myeloid leukemia.

Authors:  Renu Bajaj; Fang Xu; Bixia Xiang; Katherine Wilcox; Autumn J Diadamo; Rachana Kumar; Alexandra Pietraszkiewicz; Stephanie Halene; Peining Li
Journal:  Mol Cytogenet       Date:  2011-01-20       Impact factor: 2.009

Review 6.  Epilepsy in patients with autism: links, risks and treatment challenges.

Authors:  Frank Mc Besag
Journal:  Neuropsychiatr Dis Treat       Date:  2017-12-18       Impact factor: 2.570

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.