Evidence map›Paper›PMID 24841973›Full record

ArticleThe pharmacogenomics journal2014

Distribution of genetic polymorphisms associated with hepatitis C virus (HCV) antiviral response in a multiethnic and admixed population.

J Trinks, M L Hulaniuk, M Caputo, L Burgos Pratx, V Ré, L Fortuny, A Pontoriero, A Frías, O Torres, F Nuñez and 3 more

Abstract read
PubMed Publisher
In one paragraph

Article in The pharmacogenomics journal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

6 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Clinical utility of pharmacogenomics in the management of hepatitis C.Pharmacogenomics and personalized medicine · 2014
    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

13 authors at 3 institutions in 1 country.

J Trinks1] Instituto de Ciencias Básicas y Medicina Experimental (ICBME), Hospital Italiano de Buenos Aires, Buenos Aires, Argentina [2] National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina.
M L HulaniukInstituto de Ciencias Básicas y Medicina Experimental (ICBME), Hospital Italiano de Buenos Aires, Buenos Aires, Argentina.
M Caputo1] Servicio de Huellas Digitales Genéticas, Facultad de Farmacia y Bioquímica, Universidad de Buenos Aires, Buenos Aires, Argentina [2] National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina.
L Burgos PratxServicio de Medicina Transfusional, Hospital Italiano de Buenos Aires, Buenos Aires, Argentina.
V Ré1] Instituto de Virología Dr José María Vanella, Facultad de Ciencias Médicas de la Universidad Nacional de Córdoba, Córdoba, Argentina [2] National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina.
L FortunyServicio de Medicina Transfusional, Hospital Italiano de Buenos Aires, Buenos Aires, Argentina.
A PontorieroInstituto de Ciencias Básicas y Medicina Experimental (ICBME), Hospital Italiano de Buenos Aires, Buenos Aires, Argentina.
A FríasServicio de Medicina Transfusional, Hospital Materno Infantil 'Ramón Sardá', Buenos Aires, Argentina.
O TorresServicio de Medicina Transfusional, Hospital Materno Infantil 'Ramón Sardá', Buenos Aires, Argentina.
F NuñezServicio de Medicina Transfusional, Hospital Italiano de Buenos Aires, Buenos Aires, Argentina.
A GadanoServicio de Hepatología, Hospital Italiano de Buenos Aires, Buenos Aires, Argentina.
D Corach1] Servicio de Huellas Digitales Genéticas, Facultad de Farmacia y Bioquímica, Universidad de Buenos Aires, Buenos Aires, Argentina [2] National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina.
D Flichman1] Cátedra de Virología, Facultad de Farmacia y Bioquímica, Universidad de Buenos Aires, Buenos Aires, Argentina [2] National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina.
Hospital Italiano de Buenos Aires · ARCentro Científico Tecnológico - San Juan · ARUniversity of Buenos Aires · AR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prevalence of genetic polymorphisms identified as predictors of therapeutic-induced hepatitis C virus (HCV) clearance differs among ethnic groups. However, there is a paucity of information about their prevalence in South American populations, whose genetic background is highly admixed. Hence, single-nucleotide polymorphisms rs12979860, rs1127354 and rs7270101 were characterized in 1350 healthy individuals, and ethnicity was assessed in 259 randomly selected samples. The frequency of rs12979860CC, associated to HCV treatment response, and rs1127354nonCC, related to protection against hemolytic anemia, were significantly higher among individuals with maternal and paternal Non-native American haplogroups (64.5% and 24.2%), intermediate among admixed samples (44.1% and 20.4%) and the lowest for individuals with Native American ancestry (30.4% and 6.5%). This is the first systematic study focused on analyzing HCV predictors of antiviral response and ethnicity in South American populations. The characterization of these variants is critical to evaluate the risk-benefit of antiviral treatment according to the patient ancestry in admixed populations.

Indexed as

Antiviral AgentsEthnicityGenotypeHepacivirusHepatitis C, ChronicHumansPolymorphism, Single NucleotideRisk AssessmentSouth AmericaAntiviral Agents

Identifiers

PMID24841973
OpenAlexW2024247546

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.