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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 https://doi.org/10.1093/bioinformatics/btv491
SGUL Authors: Jamshidi, Yalda

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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.

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 (http://creativecommons.org/licenses/by/4.0/), 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
Dates:
DateEvent
15 December 2015Published
26 August 2015Published Online
17 August 2015Accepted
Publisher License: Creative Commons: Attribution 4.0
Projects:
Project IDFunderFunder ID
MC_UU_12013/3Medical Research CouncilUNSPECIFIED
WT098051Wellcome Trusthttp://dx.doi.org/10.13039/100004440
102215Wellcome TrustUNSPECIFIED
MC_PC_15018Medical Research CouncilUNSPECIFIED
MC_UU_12013/1Medical Research CouncilUNSPECIFIED
WT091310Wellcome Trusthttp://dx.doi.org/10.13039/100004440
BB/K015427/1Biotechnology and Biological Sciences Research Councilhttp://dx.doi.org/10.13039/501100000268
257082Seventh Framework Programmehttp://dx.doi.org/10.13039/501100004963
HEALTH-F5-2011-282510Seventh Framework Programmehttp://dx.doi.org/10.13039/501100004963
PubMed ID: 26315906
Web of Science ID: WOS:000366630400029
Go to PubMed abstract
URI: https://openaccess.sgul.ac.uk/id/eprint/112987
Publisher's version: https://doi.org/10.1093/bioinformatics/btv491

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