An interactive genome browser of association results from the UK10K cohorts project

Matthias Geihs, Ying Yan, Klaudia Walter, Jie Huang, Yasin Memari, Josine L Min, Daniel Mead, Tim J Hubbard, Nicholas J Timpson, Thomas A Down, Nicole Soranzo, UK10K Consortium

Research output: Contribution to journalArticle (Academic Journal)peer-review

7 Citations (Scopus)

Abstract

UNLABELLED: High-throughput sequencing technologies survey genetic variation at genome scale and are increasingly used to study the contribution of rare and low-frequency genetic variants to human traits. As part of the Cohorts arm of the UK10K project, genetic variants called from low-read depth (average 7×) whole genome sequencing of 3621 cohort individuals were analysed for statistical associations with 64 different phenotypic traits of biomedical importance. Here, we describe a novel genome browser based on the Biodalliance platform developed to provide interactive access to the association results of the project.

AVAILABILITY AND IMPLEMENTATION: The browser is available at http://www.uk10k.org/dalliance.html. Source code for the Biodalliance platform is available under a BSD license from http://github.com/dasmoth/dalliance, and for the LD-display plugin and backend from http://github.com/dasmoth/ldserv.

CONTACT: ns6@sanger.ac.uk or thomas@biodalliance.org

SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Original languageEnglish
Pages (from-to)4029-31
Number of pages3
JournalBioinformatics
Volume31
Issue number24
DOIs
Publication statusPublished - 15 Dec 2015

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