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

Published version
Peer-reviewed

Type

Article

Change log

Authors

Geihs, Matthias 
Yan, Ying 
Walter, Klaudia 
Huang, Jie 
Memari, Yasin 

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.

Description

Keywords

Genetic Association Studies, Genetic Variation, Genome, Human, High-Throughput Nucleotide Sequencing, Humans, Linkage Disequilibrium, Software

Journal Title

Bioinformatics

Conference Name

Journal ISSN

1367-4803
1367-4811

Volume Title

31

Publisher

Oxford University Press (OUP)
Sponsorship
Department of Health (via National Institute for Health Research (NIHR)) (NF-SI-0513-10109)
European Commission (257082)
Wellcome Trust (091310/Z/10/Z)