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An interactive genome browser of association results from the UK10K cohorts project.
Geihs, Matthias; Yan, Ying; Walter, Klaudia; Huang, Jie; Memari, Yasin; Min, Josine L; Mead, Daniel; Hubbard, Tim J; Timpson, Nicholas J; Down, Thomas A; Soranzo, Nicole.
Affiliation
  • Geihs M; Wellcome Trust Sanger Institute, Genome Campus, Hinxton CB10 1HH, UK.
  • Yan Y; Wellcome Trust Sanger Institute, Genome Campus, Hinxton CB10 1HH, UK.
  • Walter K; Wellcome Trust Sanger Institute, Genome Campus, Hinxton CB10 1HH, UK.
  • Huang J; Wellcome Trust Sanger Institute, Genome Campus, Hinxton CB10 1HH, UK.
  • Memari Y; Wellcome Trust Sanger Institute, Genome Campus, Hinxton CB10 1HH, UK.
  • Min JL; MRC Integrative Epidemiology Unit, University of Bristol, Oakfield Grove, Bristol, UK.
  • Mead D; Wellcome Trust Sanger Institute, Genome Campus, Hinxton CB10 1HH, UK.
  • Hubbard TJ; Wellcome Trust Sanger Institute, Genome Campus, Hinxton CB10 1HH, UK, Department of Medical and Molecular Genetics, Division of Genetics and Molecular Medicine, King's College London School of Medicine, Guy's Hospital, London SE1 9RT, UK.
  • Timpson NJ; MRC Integrative Epidemiology Unit, University of Bristol, Oakfield Grove, Bristol, UK.
  • Down TA; EMBL-EBI, Hinxton CB10 1SD, UK and.
  • Soranzo N; Wellcome Trust Sanger Institute, Genome Campus, Hinxton CB10 1HH, UK, Department of Haematology, University of Cambridge, Cambridge CB2 1TN, UK.
Bioinformatics ; 31(24): 4029-31, 2015 Dec 15.
Article in En | MEDLINE | ID: mdl-26315906
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.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Genetic Variation / Software / Genome, Human / Genetic Association Studies Type of study: Risk_factors_studies Limits: Humans Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2015 Type: Article Affiliation country: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Genetic Variation / Software / Genome, Human / Genetic Association Studies Type of study: Risk_factors_studies Limits: Humans Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2015 Type: Article Affiliation country: United kingdom