Minimum Information Required for a DMET Experiment Reporting

Abstract

Aim: To provide pharmacogenomics reporting guidelines, the information and tools required for reporting to public omic databases. Material & methods: For effective DMET data interpretation, sharing, interoperability, reproducibility and reporting, we propose the Minimum Information required for a DMET Experiment (MIDE) reporting. Results: MIDE provides reporting guidelines and describes the information required for reporting, data storage and data sharing in the form of XML. Conclusion: The MIDE guidelines will benefit the scientific community with pharmacogenomics experiments, including reporting pharmacogenomics data from other technology platforms, with the tools that will ease and automate the generation of such reports using the standardized MIDE XML schema, facilitating the sharing, dissemination, reanalysis of datasets through accessible and transparent pharmacogenomics data reporting.

Keywords::

• bioinformatics
• DMET
• minimum information requirement guidelines
• personalized genomics
• personalized medicine
• pharmacogenomics
• standardization

To view the supplementary data that accompany this paper, please visit the journal website at:https://www.futuremedicine.com/doi/full/10.2217/pgs-2016-0015

Acknowledgement

We thank members of the Centre for Proteomic and Genomic Research, Cape Town, South Africa and the interns, who contributed toward drafting this article and everyone who provided expert opinion and helped review the manuscript.

Financial & competing interests disclosure

The CPGR is supported through institutional funding from TIA (Technology Innovation Agency) and the DST (Department of Science and Technology). This work is partially funded by NIH Common Fund Award/NHGRI Grant Number U41HG006941 through H3AbioNet project. M Macek was supported by NF-CZ11-PDP-3-003-2014, 00064203 and COST LD14073. The authors have no other relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript apart from those disclosed.

No writing assistance was utilized in the production of this manuscript.

Additional information

Funding

The CPGR is supported through institutional funding from TIA (Technology Innovation Agency) and the DST (Department of Science and Technology). This work is partially funded by NIH Common Fund Award/NHGRI Grant Number U41HG006941 through H3AbioNet project. M Macek was supported by NF-CZ11-PDP-3-003-2014, 00064203 and COST LD14073. The authors have no other relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript apart from those disclosed. No writing assistance was utilized in the production of this manuscript.