Literature DB >> 26724722

In Silico Functional Annotation of Genomic Variation.

Mariusz Butkiewicz1, William S Bush1.   

Abstract

This unit describes the concepts and practical techniques for annotating genomic variants in the human genome to estimate their functional significance. With the rapid increase of available whole exome and whole genome sequencing information for human studies, annotation techniques have become progressively more important for highlighting and prioritizing nucleotide variants and their potential impact on genes and other genetic constructs. Here, we present an overview of different types of variant annotation approaches and elaborate on their foundations, assumptions, and the downstream consequences of their use. Computational approaches and tools to assign annotations and to identify variants are reviewed. Further, the general philosophy of assigning potential function to a genetic change within the biological context of a disease is discussed.
Copyright © 2016 John Wiley & Sons, Inc.

Entities:  

Keywords:  functional prediction; genome annotation; sequence analysis; variant annotation

Mesh:

Year:  2016        PMID: 26724722      PMCID: PMC4722816          DOI: 10.1002/0471142905.hg0615s88

Source DB:  PubMed          Journal:  Curr Protoc Hum Genet        ISSN: 1934-8258


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6.  GREEN-DB: a framework for the annotation and prioritization of non-coding regulatory variants from whole-genome sequencing data.

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7.  Purging of deleterious burden in the endangered Iberian lynx.

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