WGAViewer: software for genomic annotation of whole genome association studies.

Détails

ID Serval
serval:BIB_96D33BFBE1C0
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
WGAViewer: software for genomic annotation of whole genome association studies.
Périodique
Genome Research
Auteur⸱e⸱s
Ge D., Zhang K., Need A.C., Martin O., Fellay J., Urban T.J., Telenti A., Goldstein D.B.
ISSN
1088-9051 (Print)
ISSN-L
1088-9051
Statut éditorial
Publié
Date de publication
2008
Volume
18
Numéro
4
Pages
640-643
Langue
anglais
Notes
Publication types: Evaluation Studies ; Journal Article ; Research Support, Non-U.S. Gov'tPublication Status: ppublish
Résumé
To meet the immediate need for a framework of post-whole genome association (WGA) annotation, we have developed WGAViewer, a suite of JAVA software tools that provides a user-friendly interface to automatically annotate, visualize, and interpret the set of P-values emerging from a WGA study. Most valuably, it can be used to highlight possible functional mechanisms in an automatic manner, for example, by directly or indirectly implicating a polymorphism with an apparent link to gene expression, and help to generate hypotheses concerning the possible biological bases of observed associations. The easily interpretable diagrams can then be used to identify the associations that seem most likely to be biologically relevant, and to select genomic regions that may need to be resequenced in a search for candidate causal variants. In this report, we used our recently completed study on host control of HIV-1 viral load during the asymptomatic set point period as an illustration for the heuristic annotation of this software and its contributive role in a successful WGA project.
Mots-clé
Gene Expression, Genome, Human, Genomics, HLA-C Antigens/genetics, HLA-C Antigens/metabolism, Humans, Polymorphism, Single Nucleotide, Software
Pubmed
Web of science
Open Access
Oui
Création de la notice
01/03/2012 15:14
Dernière modification de la notice
20/08/2019 14:58
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