Evidence map›Paper›PMID 36233078›Full record

ArticleInternational journal of molecular sciences2022

Pharmacogenetic Variation and Its Clinical Relevance in a Latin American Rural Population.

Jordi Olloquequi, Patricia Castro-Santos, Roberto Díaz-Peña

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 20% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  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

3 authors at 2 institutions in 2 countries.

Jordi OlloquequiDepartament de Bioquímica i Fisiologia, Facultat de Farmàcia i Ciències de l'Alimentació, Universitat de Barcelona, 08028 Barcelona, Spain.ORCID 0000-0002-6492-2739
Patricia Castro-SantosInmunología, Centro de Investigaciones Biomédicas (CINBIO), Universidad de Vigo, 36310 Vigo, Spain.
Roberto Díaz-PeñaLaboratorio de Patología Celular y Molecular, Instituto de Ciencias Biomédicas, Facultad de Ciencias de la Salud, Universidad Autónoma de Chile, Talca 340000, Chile.ORCID 0000-0002-0114-2292
Universidad Autónoma de Chile · CLUniversidade de Vigo · ES

Funding

Fondo Nacional de Desarrollo Científico y Tecnológico 1220540
6 · The paper itself

Abstract

Latin-American populations have been largely underrepresented in genomic studies of drug response and disease susceptibility. In this paper, we present a genome-wide Chilean dataset from Talca based on the Illumina Global Screening Array. This let us to compare the frequency of gene variants involved in response to drugs among our population and others, taking data from the 1000 Genomes Project. We found four single-nucleotide polymorphisms with low prevalence in Chileans when compared with African, Amerindian, East and South Asian, and European populations: rs2819742 (

Indexed as

Hydroxymethylglutaryl-CoA Reductase InhibitorsMetforminDNA, IntergenicGene FrequencyGenetics, PopulationHLA-G AntigensHumansLatin AmericaPharmacogeneticsPharmacogenomic TestingPolymorphism, Single NucleotideRural PopulationRyanodine Receptor Calcium Release ChannelSimvastatinSolute Carrier Family 22 Member 5DNA, IntergenicHLA-G AntigensHydroxymethylglutaryl-CoA Reductase InhibitorsMetforminRyanodine Receptor Calcium Release ChannelSimvastatinSLC22A5 protein, humanSolute Carrier Family 22 Member 5ancestryChileLatin-Americanpersonalized medicinepharmacogeneticssingle nucleotide polymorphism

Identifiers

PMID36233078
PMCPMC9570141
OpenAlexW4303699238

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.