Evidence map›Paper›PMID 28771511›Full record

ArticlePloS one2017

Exploring public genomics data for population pharmacogenomics.

Kleanthi Lakiotaki, Alexandros Kanterakis, Evgenia Kartsaki, Theodora Katsila, George P Patrinos, George Potamias

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
–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

26 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

6 authors.

Kleanthi LakiotakiInstitute of Computer Science, Foundation for Research and Technology, Heraklion, Crete, Greece.
Alexandros KanterakisInstitute of Computer Science, Foundation for Research and Technology, Heraklion, Crete, Greece.
Evgenia KartsakiInstitute of Computer Science, Foundation for Research and Technology, Heraklion, Crete, Greece.
Theodora KatsilaDepartment of Pharmacy, School of Health Sciences, University of Patras, Rio, Patras, Greece.
George P PatrinosDepartment of Pharmacy, School of Health Sciences, University of Patras, Rio, Patras, Greece.ORCID http://orcid.org/0000-0002-0519-7776
George PotamiasInstitute of Computer Science, Foundation for Research and Technology, Heraklion, Crete, Greece.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Racial and ethnic differences in drug responses are now well studied and documented. Pharmacogenomics research seeks to unravel the genetic underpinnings of inter-individual variability with the aim of tailored-made theranostics and therapeutics. Taking into account the differential expression of pharmacogenes coding for key metabolic enzymes and transporters that affect drug pharmacokinetics and pharmacodynamics, we advise that data interpretation and analysis need to occur in light of geographical ancestry, if implications for drug development and global health are to be considered. Herein, we exploit ePGA, a web-based electronic Pharmacogenomics Assistant and publicly available genetic data from the 1000 Genomes Project to explore genotype to phenotype associations among the 1000 Genomes Project populations.

Indexed as

Genome, HumanMetagenomicsCytochrome P-450 Enzyme SystemDatabases, FactualGene FrequencyGenetic Association StudiesGenotypeHaplotypesHumansPhenotypePopulation GroupsUser-Computer InterfaceCytochrome P-450 Enzyme System

Identifiers

PMID28771511
PMCPMC5542428

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.