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ASSIMILATOR: a new tool to inform selection of associated genetic variants for functional studies.

Martin, Paul; Barton, Anne; Eyre, Stephen

Bioinformatics (Oxford, England). 2011;27(1):144-6.

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Abstract

MOTIVATION: Fine-mapping experiments from genome-wide association studies (GWAS) are underway for many complex diseases. These are likely to identify a number of putative causal variants, which cannot be separated further in terms of strength of genetic association due to linkage disequilibrium. The challenge will be selecting which variant to prioritize for subsequent expensive functional studies. A wealth of functional information generated from wet lab experiments now exists but cannot be easily interrogated by the user. Here, we describe a program designed to quickly assimilate this data called ASSIMILATOR and validate the method by interrogating two regions to show its effectiveness. AVAILABILITY: http://www.medicine.manchester.ac.uk/musculoskeletal/research/arc/genetics/bioinformatics/assimilator/. CONTACT: paul.martin-2@manchester.ac.uk.

Bibliographic metadata

Type of resource:

text

Content type:

Journal article

Publication type:

Original research

Publication form:

Academic journal article

Author(s):

Published date:

2011-01-1

Article title:

ASSIMILATOR: a new tool to inform selection of associated genetic variants for functional studies.

Journal title:

Bioinformatics (Oxford, England)

Abbreviated journal title:

Bioinformatics

ISSN:

1367-4811

Place of publication:

England

Volume:

Issue:

Pagination:

144-6

Digital Object Identifier:

10.1093/bioinformatics/btq611

Pubmed Identifier:

21177990

Pii Identifier:

btq611

Access state:

Active

Institutional metadata

University researcher(s):

Academic department(s):

Record metadata

Manchester eScholar ID:

uk-ac-man-scw:103548

Created by:

Ingram, Mary

Created:

6th January, 2011, 13:30:29

Last modified by:

Ingram, Mary

Last modified:

24th January, 2015, 16:09:59