Evidence map›Paper›PMID 42083296›Full record

ArticleHGG advances2026

Genome sequencing for the diagnosis of rare disorders: The Brazilian Rare Genomes Project.

Brazilian Rare Genomes Project Consortium. Electronic address: antonio.campos@einstein.br, Brazilian Rare Genomes Project Consortium

Abstract read
In one paragraph

Article in HGG advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Brazilian Rare Genomes Project Consortium. Electronic address: antonio.campos@einstein.br
Brazilian Rare Genomes Project Consortium

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome sequencing (GS) has emerged as a transformative tool in the diagnosis of rare diseases with complex phenotypes. This technology uncovers structural, intronic, non-coding, and mitochondrial variants that traditional methods might miss, thereby facilitating the understanding of the underlying genomic basis of human disorders. We enrolled 10,305 patients with suspected rare diseases or hereditary cancer risk syndromes from 21 centers throughout Brazil. Their genomes were sequenced with short, paired-end reads, and diagnostic reports were provided for 9,448 of these patients. The overall diagnostic yield was 35.6%, and 4.6% of all positive reports had GS-exclusive findings (e.g., short copy-number variants overlapping fewer than three exons, deep intronic variants, short tandem repeat expansions, and mitochondrial structural variants-usually not detected by other diagnostic tests such as exome sequencing). Preliminary analysis of transcriptome sequencing (TS) or long-read GS combined with GS interpretation provided a small but welcome improvement in diagnostic yield (0.1% and 1.0% of positive reports, respectively). Almost 3,200 variant/phenotype interpretations were submitted to ClinVar. GS is proving to be an invaluable resource for shortening the diagnostic odyssey of patients with rare diseases, providing crucial genomic diagnostics, and enriching genetic databases with variant interpretations from underrepresented populations. Therefore, GS has the potential to significantly enhance the precision of healthcare in genetically diverse populations.

Indexed as

Genome, HumanGenomicsRare DiseasesWhole Genome SequencingBrazilHumansPhenotypegenetic testinggenomicsMendelian diseases

Identifiers

PMID42083296
PMCPMC13285375

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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.