Cited by 12Gene expression and cancer classificationGenetic Associations and EpidemiologyGenomic variations and chromosomal abnormalities

Technology Insight: querying the genome with microarrays—progress and hope for neurological disease

Coppola, Giovanni, Geschwind, Daniel H·2006·Nature Clinical Practice Neurology

Abstract

The ability to perform large-scale analysis of the genome at the level of gene sequence, gene copy number and messenger RNA transcript expression characterizes the post-genomic era. In the past decade, the microarray-based approach has emerged as one of the major tools in this area of genome biology, contributing to advances in the understanding of Mendelian and complex neurological disorders. Despite technical issues regarding design, data analysis and validation that have to be addressed in the planning and interpretation of a microarray study, microarray-based approaches for studying transcript expression, single-nucleotide-polymorphism genotyping and gene resequencing are becoming more widely adopted. Genomic microarrays are providing an unprecedented opportunity to dissect the genetic risk for complex neurological disorders. Numerous clinical and preclinical applications are likely to dominate the ambitious microarray agenda within the next decade.

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Crossref · 10.1038/ncpneuro0133

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Authors
Coppola, G., & Geschwind, D. H.
Affiliations
University of California, Los Angeles (US)
Corresponding author
Geschwind, Daniel H
Venue
Nature Clinical Practice Neurology
Published
2006-03
Volume
2
Issue
3
Pages
147-158
ISSN
  • 1745-834X (ISSN-L)
  • 1745-8358
OpenAlex
W2053917570
Cited by
12
References
96
Citations by year
2024: 2 · 2015: 2 · 2014: 1 · 2012: 2
FWCI
0.08
Type
journal article
Language
en
Open access
closed
Locations
  • Nature Clinical Practice Neurology (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene expression and cancer classification
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomic variations and chromosomal abnormalities
Keywords
genomic microarrays, neurological disorders, gene copy number variation, SNP genotyping, monogenic disorders, genetic risk, patient classification
MeSH terms
Humans, Nervous System Diseases, Genome, Human, Oligonucleotide Array Sequence Analysis

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