standards > reporting guideline > DOI:10.25504/FAIRsharing.jbg4kp


ready Minimum Information Required for a Drug Metabolism Enzymes and Transporters Experiment

Abbreviation: MIDE


General Information
Pharmacogenomics studies are expanding exponentially, both in terms of number and amount of data generated. To facilitate future research and diagnostic applications, Affymetrix has developed a microarray targeting known genetic variations in absorption, distribution, metabolism, excretion, toxicity (ADMET) genes. The array, known as Drug Metabolising Enzymes and Transporters (DMET Plus), comprises 1,936 variants across 231genes, including 5 copy number loci involved in drug metabolism and transport. Being designed to identify genetic variants in patients presenting different drug responses and risks for adverse drug reactions, DMET constitutes a valuable tool for pharmacogenomics and clinical studies. For effective DMET data interpretation, sharing, reporting and use across the scientific community, we propose the Minimum Information required for a DMET Experiment reporting (MIDE). MIDE aims to provide reporting guidelines and describe the information required for reporting to public databases. In this article we describe MIDE and discuss its broader applications to other platforms.

Homepage http://bioweb.cpgr.org.za/mide/mide.doc

Developed in South Africa

Created in 2011

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How to cite this record FAIRsharing.org: MIDE; Minimum Information Required for a Drug Metabolism Enzymes and Transporters Experiment; DOI: https://doi.org/10.25504/FAIRsharing.jbg4kp; Last edited: Feb. 22, 2018, 2:42 p.m.; Last accessed: Nov 20 2018 4:04 p.m.


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Record added: Dec. 8, 2015, 1:49 p.m.
Record updated: Dec. 19, 2017, 1:53 p.m. by The FAIRsharing Team.

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In Collections
Minimum Information for Biological and Biomedical Investigations
Chemistry


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help http://www.ktp.cpgr.org.za
schema file MIDE Schema File

Additional Information

Contact Judit Kumuthini

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http://bioweb.cpgr.org.za/mide/mide.xsd

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Publications

Minimum information required for a DMET experiment reporting

Judit Kumuthini*, Mamana Mbiyavanga, Emile R Chimusa, Jyotishman Pathak, Panu Somervuo, Ron HN Van Schaik, Vita Dolzan, Clint Mizzi, Kusha Kalideen, Raj S Ramesar, Milan Macek, George P Patrinos, & Alessio Squassina
Pharmacogenomics 2016

View Paper (PubMed) View Publication

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  • NIH Common Fund Award /NHGRI Grant Number U41HG006941 through H3AbioNet project (H3ABioNet)