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Accurately annotate compound effects of genetic variants using a context-sensitive framework.


ABSTRACT: In genomics, effectively identifying the biological effects of genetic variants is crucial. Current methods handle each variant independently, assuming that each variant acts in a context-free manner. However, variants within the same gene may interfere with each other, producing combinational (compound) rather than individual effects. In this work, we introduce COPE, a gene-centric variant annotation tool that integrates the entire sequential context in evaluating the functional effects of intra-genic variants. Applying COPE to the 1000 Genomes dataset, we identified numerous cases of multiple-variant compound effects that frequently led to false-positive and false-negative loss-of-function calls by conventional variant-centric tools. Specifically, 64 disease-causing mutations were identified to be rescued in a specific genomic context, thus potentially contributing to the buffering effects for highly penetrant deleterious mutations. COPE is freely available for academic use at http://cope.cbi.pku.edu.cn.

SUBMITTER: Cheng SJ 

PROVIDER: S-EPMC5449550 | biostudies-literature | 2017 Jun

REPOSITORIES: biostudies-literature

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Accurately annotate compound effects of genetic variants using a context-sensitive framework.

Cheng Si-Jin SJ   Shi Fang-Yuan FY   Liu Huan H   Ding Yang Y   Jiang Shuai S   Liang Nan N   Gao Ge G  

Nucleic acids research 20170601 10


In genomics, effectively identifying the biological effects of genetic variants is crucial. Current methods handle each variant independently, assuming that each variant acts in a context-free manner. However, variants within the same gene may interfere with each other, producing combinational (compound) rather than individual effects. In this work, we introduce COPE, a gene-centric variant annotation tool that integrates the entire sequential context in evaluating the functional effects of intr  ...[more]

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