| Literature DB >> 19910074 |
Alison K Merikangas1, Aiden P Corvin, Louise Gallagher.
Abstract
Copy-number variation (CNV) is the most prevalent type of structural variation in the human genome. There is emerging evidence that copy-number variants (CNVs) provide a new vista on understanding susceptibility to neuropsychiatric disorders. Some challenges in the interpretation of current CNV studies include the use of overlapping samples, differing phenotypic definitions, an absence of population norms for CNVs and a lack of consensus in methods for CNV detection and analysis. Here, we review current CNV association study methods and results in autism spectrum disorders (ASD) and schizophrenia, and provide suggestions for design approaches to future studies that might maximize the translation of this work to etiological understanding.Entities:
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Year: 2009 PMID: 19910074 DOI: 10.1016/j.tig.2009.10.006
Source DB: PubMed Journal: Trends Genet ISSN: 0168-9525 Impact factor: 11.639