Evidence map›Paper›PMID 33858454›Full record

ArticleJournal of translational medicine2021

Clinical pharmacogenomics in action: design, assessment and implementation of a novel pharmacogenetic panel supporting drug selection for diseases of the central nervous system (CNS).

E Bothos, E Ntoumou, K Kelaidoni, D Roukas, N Drakoulis, M Papasavva, F A Karakostis, P Moulos, K Karakostis

Abstract read
In one paragraph

Article in Journal of translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

9 authors.

E BothosHybridStat Predictive Analytics, Athens, Greece.
E NtoumouiDNA Genomics Private Company, Evrota 25, Kifissia, 145 64, Athens, Greece.
K KelaidoniiDNA Genomics Private Company, Evrota 25, Kifissia, 145 64, Athens, Greece.
D RoukasDepartment of Psychiatry, Army Hospital (NIMTS), 417 Veterans, 115 21, Athens, Greece.
N DrakoulisResearch Group of Clinical Pharmacology and Pharmacogenomics, Faculty of Pharmacy, School of Health Sciences, National and Kapodistrian University of Athens, Panepistimiopolis, 15771, Zografou, Greece.
M PapasavvaResearch Group of Clinical Pharmacology and Pharmacogenomics, Faculty of Pharmacy, School of Health Sciences, National and Kapodistrian University of Athens, Panepistimiopolis, 15771, Zografou, Greece.
F A KarakostisPaleoanthropology, Senckenberg Centre for Human Evolution and Palaeoenvironment, Department of Geosciences, University of Tübingen, Tübingen, Germany.
P MoulosHybridStat Predictive Analytics, Athens, Greece.
K KarakostisiDNA Genomics Private Company, Evrota 25, Kifissia, 145 64, Athens, Greece. chem898@yahoo.gr.ORCID 0000-0003-1122-7860

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPharmacogenomics describes the link between gene variations (polymorphisms) and drug responses. In view of the implementation of precision medicine in personalized healthcare, pharmacogenetic tests have recently been introduced in the clinical practice. However, the translational aspects of such tests have been limited due to the lack of robust population-based evidence. MATERIALS: In this paper we present a novel pharmacogenetic panel (iDNA Genomics-PGx-CNS or PGx-CNS), consisting of 24 single nucleotide polymorphisms (SNPs) on 13 genes involved in the signaling or/and the metabolism of 28 approved drugs currently administered to treat diseases of the Central Nervous System (CNS). We have tested the PGx-CNS panel on 501 patient-derived DNA samples from a southeastern European population and applied biostatistical analyses on the pharmacogenetic associations involving drug selection, dosing and the risk of adverse drug events (ADEs).

resultsResults reveal the occurrences of each SNP in the sample and a strong correlation with the European population. Nonlinear principal component analysis strongly indicates co-occurrences of certain variants. The metabolization efficiency (poor, intermediate, extensive, ultra-rapid) and the frequency of clinical useful pharmacogenetic, associations in the population (drug relevance), are also described, along with four exemplar clinical cases illustrating the strong potential of the PGx-CNS panel, as a companion diagnostic assay. It is noted that pharmacogenetic associations involving copy number variations (CNVs) or the HLA gene were not included in this analysis.

conclusionsOverall, results illustrate that the PGx-CNS panel is a valuable tool supporting therapeutic medical decisions, urging its broad clinical implementation.

Indexed as

Pharmaceutical PreparationsPharmacogeneticsCentral Nervous SystemDNA Copy Number VariationsHumansPrecision MedicinePharmaceutical PreparationsAdverse drug eventsClinical pharmacogenomicsCompanion diagnosticsCytochromesDiseases of the central nervous systemDNA testDose adjustmentDrug metabolizationPrecision medicine and personalized therapyPsychiatry

Identifiers

PMID33858454
PMCPMC8048316

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