Evidence map›Paper›PMID 42056145›Full record

ArticleScientific data2026

A dataset of rare copy number variants associated with neurodevelopmental and neuropsychiatric disorders.

Alexandra Valeanu, Yuanyuan Duan, Javier Millán Acosta, Theo M de Kok, Therese van Amelsvoort, Friederike Ehrhart

Abstract read
In one paragraph

Article in Scientific data, 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. 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

6 authors.

Alexandra ValeanuDepartment of Translational Genomics, NUTRIM/MHeNs/GROW, Maastricht University, Maastricht, The Netherlands. alexandra.valeanu@maastrichtuniversity.nl.ORCID http://orcid.org/0009-0007-1364-797X
Yuanyuan DuanDepartment of Translational Genomics, NUTRIM/MHeNs/GROW, Maastricht University, Maastricht, The Netherlands.
Javier Millán AcostaDepartment of Translational Genomics, NUTRIM/MHeNs/GROW, Maastricht University, Maastricht, The Netherlands.
Theo M de KokDepartment of Translational Genomics, NUTRIM/MHeNs/GROW, Maastricht University, Maastricht, The Netherlands.
Therese van AmelsvoortDepartment of Psychiatry and Neuropsychology, MHeNs, Maastricht University, Maastricht, The Netherlands.
Friederike EhrhartDepartment of Translational Genomics, NUTRIM/MHeNs/GROW, Maastricht University, Maastricht, The Netherlands.ORCID http://orcid.org/0000-0002-7770-620X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Copy number variations (CNVs) are large structural alterations of the genome that can contribute significantly to the genetic basis of neurodevelopmental and neuropsychiatric conditions, including schizophrenia, autism spectrum disorder, and intellectual disability. Although CNVs are genomically diverse, many result in overlapping clinical features and molecular changes. We present a curated machine readable dataset, CNVPathwayAtlas, that integrates 38 pathogenic CNVs with their genomic coordinates, affected genes, molecular pathways, associated syndromes, and phenotypes. Each CNV is linked to a curated molecular pathway providing mechanistic insight into affected biological functions. This dataset is integrated with external resources including WikiPathways, Orphanet, HGNC, and the Human Phenotype Ontology, and designed for compatibility with bioinformatics workflows. This dataset provides a structured foundation for analyzing the molecular effects of CNVs, and facilitates exploration of shared disorder mechanisms, diagnosis, identification of therapeutic targets, and drug discovery in neurodevelopmental and neuropsychiatric disorders.

Indexed as

DNA Copy Number VariationsMental DisordersNeurodevelopmental DisordersDatasets as TopicHumansSchizophrenia

Identifiers

PMID42056145
PMCPMC13333889

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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.