ArticleFrontiers in genetics2025
Five novel
Article in Frontiers in genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Rubinstein-Taybi syndrome type 2 (RSTS2; OMIM #613684) is a rare autosomal dominant disorder caused by loss-of-function variants in the Methods: Whole-exome sequencing (WES) was performed on five pediatric patients presenting with neurodevelopmental delay. Candidate variants were filtered using the TGex platform and validated by Sanger sequencing for familial segregation analysis. The functional impact of variants was assessed using diverse bioinformatic tools, and pathogenicity classifications were assigned according to ACMG/AMP guidelines. Results: Five novel Conclusion: This study reports five novel pathogenic
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Registered trials
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.