ArticleFrontiers in genetics2017
Network Diffusion-Based Prioritization of Autism Risk Genes Identifies Significantly Connected Gene Modules.
Article in Frontiers in genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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Who cites it
12 citing papers in PubMed, 23 citations in OpenAlex.
- Inference of Autism Risk Genes Through Comparative Sociogenomics and Molecular Network Analysis.Genes · 2026Article
- Article
- Article
- CausNet: generational orderings based search for optimal Bayesian networks via dynamic programming with parent set constraints.BMC bioinformatics · 2023Article
- Prioritizing de novo autism risk variants with calibrated gene- and variant-scoring models.Human genetics · 2022Article
- Integrative Functional Genomic Analysis in Multiplex Autism Families from Kazakhstan.Disease markers · 2022Article
- Clustering Analysis Supports the Detection of Biological Processes Related to Autism Spectrum Disorder.Genes · 2020Article
- Gene relevance based on multiple evidences in complex networks.Bioinformatics (Oxford, England) · 2020Article
- A Survey of Gene Prioritization Tools for Mendelian and Complex Human Diseases.Journal of integrative bioinformatics · 2019Review
- Network-Based Integrative Analysis of Genomics, Epigenomics and Transcriptomics in Autism Spectrum Disorders.International journal of molecular sciences · 2019Article
- Latrophilins: A Neuro-Centric View of an Evolutionary Conserved Adhesion G Protein-Coupled Receptor Subfamily.Frontiers in neuroscience · 2019Article
- Brain Connectivity and Neuroimaging of Social Networks in Autism.Trends in cognitive sciences · 2018Review
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Autism spectrum disorder (ASD) is marked by a strong genetic heterogeneity, which is underlined by the low overlap between ASD risk gene lists proposed in different studies. In this context, molecular networks can be used to analyze the results of several genome-wide studies in order to underline those network regions harboring genetic variations associated with ASD, the so-called "disease modules." In this work, we used a recent network diffusion-based approach to jointly analyze multiple ASD risk gene lists. We defined genome-scale prioritizations of human genes in relation to ASD genes from multiple studies, found significantly connected gene modules associated with ASD and predicted genes functionally related to ASD risk genes. Most of them play a role in synapsis and neuronal development and function; many are related to syndromes that can be in comorbidity with ASD and the remaining are involved in epigenetics, cell cycle, cell adhesion and cancer.
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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.