Literature DB >> 21997137

Functional enrichment analysis with structural variants: pitfalls and strategies.

C Webber1.   

Abstract

Interpreting the phenotypic consequences of human structural variation remains challenging. Functional enrichment analysis, which can identify functional enrichments among genes affected by structural variants, is providing significant biological insights into the genotype-phenotype relationship. In this review, we discuss the different approaches and choices in the application of this technique to human structural variation. We consider the importance of choosing the right background distribution for detection, the significance of the gene selection criteria, the effects of tissue-specific gene length biases and discuss sources of functional annotations with a focus on Gene Ontology and mouse phenotypic resources. Throughout this review, we highlight potential sources of significant bias that are of particular concern to the analysis of structural variants, and illustrate the importance of examining the expectations upon which enrichment analysis techniques depend.
Copyright © 2011 S. Karger AG, Basel.

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Year:  2011        PMID: 21997137     DOI: 10.1159/000331670

Source DB:  PubMed          Journal:  Cytogenet Genome Res        ISSN: 1424-8581            Impact factor:   1.636


  13 in total

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7.  The clustering of functionally related genes contributes to CNV-mediated disease.

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10.  Unbiased functional clustering of gene variants with a phenotypic-linkage network.

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Journal:  PLoS Comput Biol       Date:  2014-08-28       Impact factor: 4.475

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