Evidence map›Paper›PMID 39557816›Full record

ReviewJournal of community genetics2025

Population molecular genetics in Brazil: From genomic databases and research to the implementation of precision medicine.

Thais C de Oliveira, Iscia Lopes-Cendes

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Journal of community genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

  1. Pooled it
  2. Article
  3. Hyperoxaluria by the AGXT gene: a case report.Journal of medical case reports · 2026
    Article
  4. Article
  5. 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

2 authors.

Thais C de OliveiraDepartment of Medical Genetics and Genomic Medicine, School of Medical Sciences, University of Campinas - UNICAMP, Tessália Vieira de Camargo, 126. Cidade Universitária "Zeferino Vaz", Campinas, SP, 13083-888, Brazil.
Iscia Lopes-CendesDepartment of Medical Genetics and Genomic Medicine, School of Medical Sciences, University of Campinas - UNICAMP, Tessália Vieira de Camargo, 126. Cidade Universitária "Zeferino Vaz", Campinas, SP, 13083-888, Brazil. icendes@unicamp.br.

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 311923/2019-4Coordenação de Aperfeiçoamento de Pessoal de Nível Superior 001Fundação de Amparo à Pesquisa do Estado de São Paulo 2013/07559-3Fundação de Amparo à Pesquisa do Estado de São Paulo 2021/15030-9
6 · The paper itself

Abstract

Precision medicine (PM) stands on the brink of revolutionizing medical practice throughout the world, holding significant potential for enhancing patient outcomes. However, its practical implementation, particularly in resource-limited countries, is not without challenges. The success of PM largely hinges on the availability of extensive datasets, including genetic and genomic information. This paper delves into the PM landscape and the current state of genetic and genomic testing in Brazil. We also shed light on the unique challenges posed by the country's diverse population and discuss ongoing initiatives to tackle these obstacles.

Indexed as

Genetic testingGenomic medicineGenomics in Latin AmericaPopulation genomics

Identifiers

PMID39557816
PMCPMC12321696

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.