Evidence map›Paper›PMID 41861389›Full record

ArticleGenetics and molecular biology2026

Toward the establishment of best practice guidelines for human research in Genomic Medicine in Brazil.

Fernanda Sperb Ludwig, Osvaldo Artigalás, Nureyev Ferreira Rodrigues, Patricia Ashton Prolla, Ursula da Silveira Matte, Jonas Alex Morales Saute

Abstract read
In one paragraph

Article in Genetics and molecular biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Fernanda Sperb LudwigHospital de Clínicas de Porto Alegre, Diretoria de Pesquisa, Porto Alegre, RS, Brazil.ORCID http://orcid.org/0000-0002-2460-7064
Osvaldo ArtigalásHospital de Clínicas de Porto Alegre, Diretoria de Pesquisa, Porto Alegre, RS, Brazil.
Nureyev Ferreira RodriguesHospital de Clínicas de Porto Alegre, Diretoria de Pesquisa, Porto Alegre, RS, Brazil.ORCID http://orcid.org/0000-0002-8191-7894
Patricia Ashton ProllaHospital de Clínicas de Porto Alegre, Diretoria de Pesquisa, Porto Alegre, RS, Brazil.
Ursula da Silveira MatteHospital de Clínicas de Porto Alegre, Diretoria de Pesquisa, Porto Alegre, RS, Brazil.ORCID http://orcid.org/0000-0003-4977-6662
Jonas Alex Morales SauteUniversidade Federal do Rio Grande do Sul, Programa de Pós-Graduação em Genética e Biologia Molecular, Porto Alegre, RS, Brazil.ORCID http://orcid.org/0000-0003-1141-6573

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many countries lack their guidelines for best practices in genomic medicine, whether for clinical practice or research. For the construction of these national guidelines or institutional policies in human genomics research several key criteria must be observed. The determination of variant pathogenicity has become more refined, with specific global recommendations being adopted. A well-conducted consent process, managed by qualified professionals, ensures the protection of research participants' rights. Pre-established sequencing and data analysis parameters are crucial for ensuring reliable results, and clear guidelines must be provided on whether or not to disclose findings to participants. Data storage remains a challenge due to both the size and sensitivity of the generated files. This work discusses these critical aspects and represents an initiative to propose the best practice recommendations for genomic medicine in human research. These recommendations were developed by a working group of experts and were further refined through discussions with members of the scientific community in genetics and genomic medicine.

Identifiers

PMID41861389
PMCPMC13016436

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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.