Evidence map›Paper›PMID 36077453›Full record

ArticleInternational journal of molecular sciences2022

Genetic Variation among Pharmacogenes in the Sardinian Population.

Maria Laura Idda, Magdalena Zoledziewska, Silvana Anna Maria Urru, Gregory McInnes, Alice Bilotta, Viola Nuvoli, Valeria Lodde, Sandro Orrù, David Schlessinger, Francesco Cucca and 1 more

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.6field-weighted citation impact, top 18% of its field
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

8 citing papers in PubMed, 11 citations in OpenAlex.

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  8. Relevance ofPharmaceutics · 2022
    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

11 authors at 6 institutions in 2 countries.

Maria Laura IddaInstitute for Genetic and Biomedical Research, National Research Council, 07100 Sassari, Italy.
Magdalena ZoledziewskaInstitute for Genetic and Biomedical Research, National Research Council, 09042 Monserrato, Italy.
Silvana Anna Maria UrruHospital Pharmacy Unit, Trento General Hospital, Autonomous Province of Trento, 38122 Trento, Italy.ORCID 0000-0001-6213-1290
Gregory McInnesBiomedical Informatics Training Program, Stanford University, Stanford, CA 94305, USA.
Alice BilottaDepartment of Biomedical Sciences, School of Medicine, University of Sassari, 07100 Sassari, Italy.
Viola NuvoliDepartment of Biomedical Sciences, School of Medicine, University of Sassari, 07100 Sassari, Italy.
Valeria LoddeDepartment of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy.ORCID 0000-0001-6904-1431
Sandro OrrùMedical Genetics, Department of Medical Sciences and Public Health, University of Cagliari, 09126 Cagliari, Italy.
David SchlessingerLaboratory of Genetics and Genomics, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA.
Francesco CuccaInstitute for Genetic and Biomedical Research, National Research Council, 09042 Monserrato, Italy.
Matteo FlorisInstitute for Genetic and Biomedical Research, National Research Council, 07100 Sassari, Italy.ORCID 0000-0003-4385-9336
University of Sassari · ITInstitute of Genetic and Biomedical Research · ITNational Institutes of Health · USNational Research Council · ITStanford University · USUniversity of Cagliari · IT

Funding

GENETIC AND EPIDEMIOLOGICAL FACTORS FOR AGE-RELATED TRAITS AND DISEASES IN THE SARDINIAN POPULATION (SARDINIA5); PERIOD OF PERFORMANCE: JUNE 1, 2021 -75N95021C00012 · NIA · ISTITUTO DI RICERCA GENETICA E BIOMEDICA IRGB CNR · PI FIORILLO, EDOARDO · 2021 to 2021
$11.4M
NIDA NIH HHS 75N95021C00012University of Sassari Bando competitivo Fondazione di Sardegna - 2016 per progetti di ricerca con revisione tra pariUniversity of Sassari fondo di Ateneo per la ricerca 2019
6 · The paper itself

Abstract

Pharmacogenetics (PGx) aims to identify the genetic factors that determine inter-individual differences in response to drug treatment maximizing efficacy while decreasing the risk of adverse events. Estimating the prevalence of PGx variants involved in drug response, is a critical preparatory step for large-scale implementation of a personalized medicine program in a target population. Here, we profiled pharmacogenetic variation in fourteen clinically relevant genes in a representative sample set of 1577 unrelated sequenced Sardinians, an ancient island population that accounts for genetic variation in Europe as a whole, and, at the same time is enriched in genetic variants that are very rare elsewhere. To this end, we used PGxPOP, a PGx allele caller based on the guidelines created by the Clinical Pharmacogenetics Implementation Consortium (CPIC), to identify the main phenotypes associated with the PGx alleles most represented in Sardinians. We estimated that 99.43% of Sardinian individuals might potentially respond atypically to at least one drug, that on average each individual is expected to have an abnormal response to about 17 drugs, and that for 27 drugs the fraction of the population at risk of atypical responses to therapy is more than 40%. Finally, we identified 174 pharmacogenetic variants for which the minor allele frequency was at least 10% higher among Sardinians as compared to other European populations, a fact that may contribute to substantial interpopulation variability in drug response phenotypes. This study provides baseline information for further large-scale pharmacogenomic investigations in the Sardinian population and underlines the importance of PGx characterization of diverse European populations, such as Sardinians.

Indexed as

PharmacogeneticsPrecision MedicineGene FrequencyGenetic VariationPharmacogenomic TestingPharmacogenomic Variantsdrug responsepharmacogeneticspharmacogenomics

Identifiers

PMID36077453
PMCPMC9456055
OpenAlexW4294740817

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.