Literature DB >> 26224250

Cafe Variome: general-purpose software for making genotype-phenotype data discoverable in restricted or open access contexts.

Owen Lancaster1, Tim Beck1, David Atlan2, Morris Swertz3, Dhiwagaran Thangavelu1, Colin Veal1, Raymond Dalgleish1, Anthony J Brookes1.   

Abstract

Biomedical data sharing is desirable, but problematic. Data "discovery" approaches-which establish the existence rather than the substance of data-precisely connect data owners with data seekers, and thereby promote data sharing. Cafe Variome (http://www.cafevariome.org) was therefore designed to provide a general-purpose, Web-based, data discovery tool that can be quickly installed by any genotype-phenotype data owner, or network of data owners, to make safe or sensitive content appropriately discoverable. Data fields or content of any type can be accommodated, from simple ID and label fields through to extensive genotype and phenotype details based on ontologies. The system provides a "shop window" in front of data, with main interfaces being a simple search box and a powerful "query-builder" that enable very elaborate queries to be formulated. After a successful search, counts of records are reported grouped by "openAccess" (data may be directly accessed), "linkedAccess" (a source link is provided), and "restrictedAccess" (facilitated data requests and subsequent provision of approved records). An administrator interface provides a wide range of options for system configuration, enabling highly customized single-site or federated networks to be established. Current uses include rare disease data discovery, patient matchmaking, and a Beacon Web service.
© 2015 WILEY PERIODICALS, INC.

Entities:  

Keywords:  Cafe Variome; Matchmaker Exchange; data discovery; genotype-phenotype; rare disease; software

Mesh:

Year:  2015        PMID: 26224250     DOI: 10.1002/humu.22841

Source DB:  PubMed          Journal:  Hum Mutat        ISSN: 1059-7794            Impact factor:   4.878


  12 in total

Review 1.  Human genotype-phenotype databases: aims, challenges and opportunities.

Authors:  Anthony J Brookes; Peter N Robinson
Journal:  Nat Rev Genet       Date:  2015-11-10       Impact factor: 53.242

2.  The Matchmaker Exchange: a platform for rare disease gene discovery.

Authors:  Anthony A Philippakis; Danielle R Azzariti; Sergi Beltran; Anthony J Brookes; Catherine A Brownstein; Michael Brudno; Han G Brunner; Orion J Buske; Knox Carey; Cassie Doll; Sergiu Dumitriu; Stephanie O M Dyke; Johan T den Dunnen; Helen V Firth; Richard A Gibbs; Marta Girdea; Michael Gonzalez; Melissa A Haendel; Ada Hamosh; Ingrid A Holm; Lijia Huang; Matthew E Hurles; Ben Hutton; Joel B Krier; Andriy Misyura; Christopher J Mungall; Justin Paschall; Benedict Paten; Peter N Robinson; François Schiettecatte; Nara L Sobreira; Ganesh J Swaminathan; Peter E Taschner; Sharon F Terry; Nicole L Washington; Stephan Züchner; Kym M Boycott; Heidi L Rehm
Journal:  Hum Mutat       Date:  2015-10       Impact factor: 4.878

3.  Data Sharing Advances Rare and Neglected Disease Clinical Research and Treatments.

Authors:  Rachelle J Bienstock
Journal:  ACS Pharmacol Transl Sci       Date:  2019-08-22

4.  Matchmaker Exchange.

Authors:  Nara L M Sobreira; Harindra Arachchi; Orion J Buske; Jessica X Chong; Ben Hutton; Julia Foreman; François Schiettecatte; Tudor Groza; Julius O B Jacobsen; Melissa A Haendel; Kym M Boycott; Ada Hamosh; Heidi L Rehm
Journal:  Curr Protoc Hum Genet       Date:  2017-10-18

5.  Seven years since the launch of the Matchmaker Exchange: The evolution of genomic matchmaking.

Authors:  Kym M Boycott; Danielle R Azzariti; Ada Hamosh; Heidi L Rehm
Journal:  Hum Mutat       Date:  2022-05-10       Impact factor: 4.700

6.  International Cooperation to Enable the Diagnosis of All Rare Genetic Diseases.

Authors:  Kym M Boycott; Ana Rath; Jessica X Chong; Taila Hartley; Fowzan S Alkuraya; Gareth Baynam; Anthony J Brookes; Michael Brudno; Angel Carracedo; Johan T den Dunnen; Stephanie O M Dyke; Xavier Estivill; Jack Goldblatt; Catherine Gonthier; Stephen C Groft; Ivo Gut; Ada Hamosh; Philip Hieter; Sophie Höhn; Matthew E Hurles; Petra Kaufmann; Bartha M Knoppers; Jeffrey P Krischer; Milan Macek; Gert Matthijs; Annie Olry; Samantha Parker; Justin Paschall; Anthony A Philippakis; Heidi L Rehm; Peter N Robinson; Pak-Chung Sham; Rumen Stefanov; Domenica Taruscio; Divya Unni; Megan R Vanstone; Feng Zhang; Han Brunner; Michael J Bamshad; Hanns Lochmüller
Journal:  Am J Hum Genet       Date:  2017-05-04       Impact factor: 11.025

7.  ABCMdb reloaded: updates on mutations in ATP binding cassette proteins.

Authors:  Hedvig Tordai; Kristóf Jakab; Gergely Gyimesi; Kinga András; Anna Brózik; Balázs Sarkadi; Tamás Hegedus
Journal:  Database (Oxford)       Date:  2017-01-01       Impact factor: 3.451

8.  MECP2 variation in Rett syndrome-An overview of current coverage of genetic and phenotype data within existing databases.

Authors:  Gillian S Townend; Friederike Ehrhart; Henk J van Kranen; Mark Wilkinson; Annika Jacobsen; Marco Roos; Egon L Willighagen; David van Enckevort; Chris T Evelo; Leopold M G Curfs
Journal:  Hum Mutat       Date:  2018-05-21       Impact factor: 4.878

Review 9.  Novel bioinformatic developments for exome sequencing.

Authors:  Stefan H Lelieveld; Joris A Veltman; Christian Gilissen
Journal:  Hum Genet       Date:  2016-04-13       Impact factor: 4.132

10.  Prescreening for European Prevention of Alzheimer Dementia (EPAD) trial-ready cohort: impact of AD risk factors and recruitment settings.

Authors:  Lisa Vermunt; Graciela Muniz-Terrera; Lea Ter Meulen; Colin Veal; Kaj Blennow; Archie Campbell; Isabelle Carrié; Julien Delrieu; Karine Fauria; Gema Huesa Rodríguez; Silvia Ingala; Natalie Jenkins; José Luis Molinuevo; Pierre-Jean Ousset; David Porteous; Niels D Prins; Alina Solomon; Brian D Tom; Henrik Zetterberg; Marissa Zwan; Craig W Ritchie; Philip Scheltens; Gerald Luscan; Anthony J Brookes; Pieter Jelle Visser
Journal:  Alzheimers Res Ther       Date:  2020-01-06       Impact factor: 6.982

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