Evidence map›Paper›PMID 40076702›Full record

ArticleInternational journal of molecular sciences2025

A Systems Biology Approach for Prioritizing ASD Genes in Large or Noisy Datasets.

Veronica Remori, Heather Bondi, Manuel Airoldi, Lisa Pavinato, Giulia Borini, Diana Carli, Alfredo Brusco, Mauro Fasano

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

8 authors.

Veronica RemoriDepartment of Science and High Technology, University of Insubria, 22100 Como, Italy.ORCID 0009-0009-5091-0030
Heather BondiDepartment of Science and High Technology, University of Insubria, 22100 Como, Italy.ORCID 0000-0002-4845-0022
Manuel AiroldiDepartment of Science and High Technology, University of Insubria, 22100 Como, Italy.ORCID 0009-0001-0094-4576
Lisa PavinatoDepartment of Medical Sciences, University of Torino, 10126 Torino, Italy.ORCID 0000-0002-7630-8365
Giulia BoriniDepartment of Public Health and Pediatric Sciences, University of Torino, 10126 Torino, Italy.
Diana CarliDepartment of Medical Sciences, University of Torino, 10126 Torino, Italy.ORCID 0000-0001-5690-6504
Alfredo BruscoDepartment of Neuroscience "Rita Levi Montalcini", University of Torino, 10126 Torino, Italy.ORCID 0000-0002-8318-7231
Mauro FasanoDepartment of Science and High Technology, University of Insubria, 22100 Como, Italy.ORCID 0000-0003-0628-5871

Funding

Ministero dell'università e della ricerca 20203P8C3X
6 · The paper itself

Abstract

Autism spectrum disorder (ASD) is a complex multifactorial neurodevelopmental disorder. Despite extensive research involving genome-wide association studies, copy number variant (CNV) testing, and genome sequencing, the comprehensive genetic landscape remains incomplete. In this context, we developed a systems biology approach to prioritize genes associated with ASD and uncover potential new candidates. A Protein-Protein Interaction (PPI) network was generated from genes associated to ASD in a public database. Leveraging gene topological properties, particularly betweenness centrality, we prioritized genes and unveiled potential novel candidates (e.g.,

Indexed as

Autism Spectrum DisorderGenetic Predisposition to DiseaseSystems BiologyComparative Genomic HybridizationDatabases, GeneticDNA Copy Number VariationsGene Regulatory NetworksGenome-Wide Association StudyHumansProtein Interaction Mapsautismbetweenness centralitygene prioritizationprotein–protein interaction networksystems biology

Identifiers

PMID40076702
PMCPMC11900372

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.