Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1145/3307339.3343466acmconferencesArticle/Chapter ViewAbstractPublication PagesbcbConference Proceedingsconference-collections
research-article

Using GMQL-Web for Querying, Downloading and Integrating Public with Private Genomic Datasets

Published: 04 September 2019 Publication History

Abstract

Recent integrative analyses using data from TCGA permit GWAS investigation of the genetic variants function, providing more insight than single-platform approaches. Although there has been much progress, the integration across data sets and data types remains limited. In this work we illustrate a workflow, based on the use of GMQL-Web, for combining private cancer datasets with datasets of genomic features and biological/clinical metadata sourcing from ENCODE, Roadmap Epigenomics, TCGA, as well as annotations from GENCODE and RefSeq. GMQL-Web is a web-based interface with the goal of providing a user-friendly intuitive environment for bioinformaticians and biologists who need to query genomic processed data (including public dataset not already available in the GMQL Repository) and combine them with their private datasets. Finally, we present a case study that illustrates the workflow steps to find samples extracted from a pharmacogenomic drug metabolism multi-gene platform, i.e. the Affymetrix DMET Plus platform that contain single-nucleotide polymorphisms (SNPs) that overlap with exon regions. The DMET platform is able to identify the relationship among the patients' genomic variations and drug metabolism by detecting SNPs on genes related to drug metabolism. From the obtained result, we identify only the SNPs overlapping with genes whose expression level is above a given threshold.

References

[1]
G. Agapito, P. H. Guzzi, and M. Cannataro. 2015. DMET-Miner: Efficient discovery of association rules from pharmacogenomic data . J Biomed Inform, Vol. 56 (Aug 2015), 273--283.
[2]
M. Arbitrio, M. T. Di Martino, F. Scionti, G. Agapito, P. H. Guzzi, M. Cannataro, P. Tassone, and P. Tagliaferri. 2016. DMET (Drug Metabolism Enzymes and Transporters): a pharmacogenomic platform for precision medicine . Oncotarget, Vol. 7, 33 (08 2016), 54028--54050.
[3]
INTERNATIONAL HAPMAP CONSORTIUM. 2003. The international HapMap project. Nature, Vol. 426 (2003), 789--796. Issue 6968.
[4]
Fabio Cumbo, Giulia Fiscon, Stefano Ceri, Marco Masseroli, and Emanuel Weitschek. 2017. TCGA2BED: extracting, extending, integrating, and querying The Cancer Genome Atlas. BMC bioinformatics, Vol. 18, 1 (2017), 6.
[5]
Adam Frankish, Mark Diekhans, Anne-Maud Ferreira, Rory Johnson, Irwin Jungreis, Jane Loveland, Jonathan M Mudge, Cristina Sisu, James Wright, Joel Armstrong, et almbox. 2018. GENCODE reference annotation for the human and mouse genomes. Nucleic acids research, Vol. 47, D1 (2018), D766--D773.
[6]
P. H. Guzzi, G. Agapito, M. T. Di Martino, M. Arbitrio, P. Tassone, P. Tagliaferri, and M. Cannataro. 2012. DMET-analyzer: automatic analysis of Affymetrix DMET data . BMC Bioinformatics, Vol. 13 (Oct 2012), 258.
[7]
Mark A Jensen et almbox. 2017. The NCI Genomic Data Commons as an engine for precision medicine. Blood, Vol. 130, 4 (2017), 453--459.
[8]
H. S. Kim, J. D. Minna, and M. A. White. 2013. GWAS meets TCGA to illuminate mechanisms of cancer predisposition . Cell, Vol. 152, 3 (Jan 2013), 387--389.
[9]
V. N. Kristensen, O. C. Lingjrde, H. G. Russnes, H. K. Vollan, A. Frigessi, and A. L. Brresen-Dale. 2014. Principles and methods of integrative genomic analyses in cancer . Nat. Rev. Cancer, Vol. 14, 5 (May 2014), 299--313.
[10]
Jing Li, Luyong Zhang, Hang Zhou, Mark Stoneking, and Kun Tang. 2010. Global patterns of genetic diversity and signals of natural selection for human ADME genes . Human Molecular Genetics, Vol. 20, 3 (11 2010), 528--540.
[11]
Yan V. Sun and Yi-Juan Hu. 2016. Integrative Analysis of Multi-omics Data for Discovery and Functional Studies of Complex Human Diseases. Advances in Genetics, Vol. 93 (2016), 147 -- 190.
[12]
K. Tomczak, P. Czerwi'ska, and M. Wiznerowicz. 2015. The Cancer Genome Atlas (TCGA): an immeasurable source of knowledge . Contemp Oncol (Pozn), Vol. 19, 1A (2015), 68--77.

Cited By

View all
  • (2023)Processing genome-wide association studies within a repository of heterogeneous genomic datasetsBMC Genomic Data10.1186/s12863-023-01111-y24:1Online publication date: 3-Mar-2023
  • (2023)MMRFVariant: Prioritizing variants in Multiple MyelomaInformatics in Medicine Unlocked10.1016/j.imu.2023.10127139(101271)Online publication date: 2023
  • (2023)PoliViews: A comprehensive and modular approach to the conceptual modeling of genomic dataData & Knowledge Engineering10.1016/j.datak.2023.102201147(102201)Online publication date: Sep-2023

Index Terms

  1. Using GMQL-Web for Querying, Downloading and Integrating Public with Private Genomic Datasets

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    BCB '19: Proceedings of the 10th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics
    September 2019
    716 pages
    ISBN:9781450366663
    DOI:10.1145/3307339
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Sponsors

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 04 September 2019

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. gmql
    2. gwas
    3. integrative analysis
    4. snps
    5. tcga

    Qualifiers

    • Research-article

    Conference

    BCB '19
    Sponsor:

    Acceptance Rates

    BCB '19 Paper Acceptance Rate 42 of 157 submissions, 27%;
    Overall Acceptance Rate 254 of 885 submissions, 29%

    Upcoming Conference

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)2
    • Downloads (Last 6 weeks)0
    Reflects downloads up to 15 Oct 2024

    Other Metrics

    Citations

    Cited By

    View all
    • (2023)Processing genome-wide association studies within a repository of heterogeneous genomic datasetsBMC Genomic Data10.1186/s12863-023-01111-y24:1Online publication date: 3-Mar-2023
    • (2023)MMRFVariant: Prioritizing variants in Multiple MyelomaInformatics in Medicine Unlocked10.1016/j.imu.2023.10127139(101271)Online publication date: 2023
    • (2023)PoliViews: A comprehensive and modular approach to the conceptual modeling of genomic dataData & Knowledge Engineering10.1016/j.datak.2023.102201147(102201)Online publication date: Sep-2023

    View Options

    Get Access

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media