ArticleHuman genome variation2019
A novel
Article in Human genome variation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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
5 citing papers in PubMed.
- A novel CUL4B gene variant activating Wnt4/β-catenin signal pathway to karyotype 46, XY female with disorders of sex development.Biological research · 2025Article
- Case Report: Cabezas syndrome caused byFrontiers in neuroscience · 2025Article
- CUL4B mutations impair human cortical neurogenesis through PP2A-dependent inhibition of AKT and ERK.Cell death & disease · 2024Article
- Whole-exome analysis of 177 pediatric patients with undiagnosed diseases.Scientific reports · 2022Article
- CUL4The American journal of pathology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Patients with variants in
Indexed as
Identifiers
What OpenQuestion holds
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.