Evidence map›Paper›PMID 27548815›Full record

ArticlePharmacogenomics2016

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 and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Pharmacogenomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Judit KumuthiniCentre for Proteomic & Genomic Research, Cape Town, South Africa.
Mamana MbiyavangaCentre for Proteomic & Genomic Research, Cape Town, South Africa.
Emile R ChimusaCentre for Proteomic & Genomic Research, Cape Town, South Africa.
Jyotishman PathakDivision of Biomedical Statistics & Informatics, Department of Health Sciences Research, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA.
Panu SomervuoInstitute of Biotechnology, University of Helsinki, Helsinki, Finland.
Ron Hn Van SchaikDepartment of Clinical Chemistry, Erasmus University Medical Center Rotterdam, Room Na-415, Wytemaweg 80, 3015CN Rotterdam, The Netherlands.
Vita DolzanPharmacogenetics Laboratory, Institute of Biochemistry, Faculty of Medicine, University of Ljubljana, Vrazov trg 2, SI-1000 Ljubljana, Slovenia.
Clint MizziDepartment of Bioinformatics, Faculty of Medicine & Health Sciences, Erasmus University Medical Center, Rotterdam, The Netherlands.
Kusha KalideenUCT/SA MRC Human Genetics Research Unit, Division of Human Genetics, Institute for Infectious Diseases & Molecular Medicine, Division of Human Genetics, University of Cape Town, South Africa.
Raj S RamesarUCT/SA MRC Human Genetics Research Unit, Division of Human Genetics, Institute for Infectious Diseases & Molecular Medicine, Division of Human Genetics, University of Cape Town, South Africa.
Milan MacekDepartment of Biology & Medical Genetics, Charles University Prague & 2nd Faculty of Medicine, Prague, Czechia.
George P PatrinosDepartment of Bioinformatics, Faculty of Medicine & Health Sciences, Erasmus University Medical Center, Rotterdam, The Netherlands.
Alessio SquassinaLaboratory of Pharmacogenomics, Section of Neuroscience & Clinical Pharmacology, Department of Biomedical Sciences, University of Cagliari, sp 8 Sestu-Monserrato, Km 0.700, 09042 Cagliari, Italy.

Funding

H3ABioNet: a sustainable African Bioinformatics Network for H3AfricaU41HG006941 · NHGRI · UNIVERSITY OF CAPE TOWN · PI MULDER, NICOLA · 2012 to 2017
$14.8M
NHGRI NIH HHS U41 HG006941
6 · The paper itself

Abstract

aimTo provide pharmacogenomics reporting guidelines, the information and tools required for reporting to public omic databases. MATERIAL &

methodsFor effective DMET data interpretation, sharing, interoperability, reproducibility and reporting, we propose the Minimum Information required for a DMET Experiment (MIDE) reporting.

resultsMIDE provides reporting guidelines and describes the information required for reporting, data storage and data sharing in the form of XML.

conclusionThe 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.

Indexed as

PharmacogeneticsResearch DesignData Interpretation, StatisticalHumansInformation DisseminationbioinformaticsDMETminimum information requirement guidelinespersonalized genomicspersonalized medicinepharmacogenomicsstandardization

Identifiers

PMID27548815
PMCPMC6123892

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.