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

Geihs, M; Yan, Y; Walter, K; Huang, J; Memari, Y; Min, JL; Mead, D; UK10K Consortium, ; Hubbard, TJ; Timpson, NJ; et al. Geihs, M; Yan, Y; Walter, K; Huang, J; Memari, Y; Min, JL; Mead, D; UK10K Consortium; Hubbard, TJ; Timpson, NJ; Down, TA; Soranzo, N (2015) An interactive genome browser of association results from the UK10K cohorts project. Bioinformatics, 31 (24). pp. 4029-4031. ISSN 1367-4811
SGUL Authors: Jamshidi, Yalda

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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 Source code for the Biodalliance platform is available under a BSD license from, and for the LD-display plugin and backend from

Item Type: Article
Additional Information: © The Author 2015. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
Keywords: Genetic Association Studies, Genetic Variation, Genome, Human, High-Throughput Nucleotide Sequencing, Humans, Linkage Disequilibrium, Software, UK10K Consortium, Humans, Linkage Disequilibrium, Genome, Human, Software, Genetic Variation, Genetic Association Studies, High-Throughput Nucleotide Sequencing, 01 Mathematical Sciences, 06 Biological Sciences, 08 Information and Computing Sciences, Bioinformatics
SGUL Research Institute / Research Centre: Academic Structure > Molecular and Clinical Sciences Research Institute (MCS)
Journal or Publication Title: Bioinformatics
ISSN: 1367-4811
Language: eng
15 December 2015Published
26 August 2015Published Online
17 August 2015Accepted
Publisher License: Creative Commons: Attribution 4.0
Project IDFunderFunder ID
MC_UU_12013/3Medical Research CouncilUNSPECIFIED
WT098051Wellcome Trust
102215Wellcome TrustUNSPECIFIED
MC_PC_15018Medical Research CouncilUNSPECIFIED
MC_UU_12013/1Medical Research CouncilUNSPECIFIED
WT091310Wellcome Trust
BB/K015427/1Biotechnology and Biological Sciences Research Council
257082Seventh Framework Programme
HEALTH-F5-2011-282510Seventh Framework Programme
PubMed ID: 26315906
Web of Science ID: WOS:000366630400029
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