ArticleBMC genomics2017
Cross-disorder comparative analysis of comorbid conditions reveals novel autism candidate genes.
Article in BMC genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.
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Who cites it
16 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Exploring polygenic contributors to subgroups of comorbid conditions in autism spectrum disorder.Scientific reports · 2022Pooled it
- Association between MTHFR C677T/A1298C and susceptibility to autism spectrum disorders: a meta-analysis.BMC pediatrics · 2020Pooled it
- In silico Genotype-Phenotype Correlation Analysis of Inherited Variations in Autism Spectrum Disorder Families Identify an Interplay between Sensory Function and Repetitive-behaviour Genes.Journal of molecular neuroscience : MN · 2026Article
- Autism Spectrum Disorder as a Multifactorial Disorder: The Interplay of Genetic Factors and Inflammation.International journal of molecular sciences · 2025Review
- Assessment of Neuroanatomical Endophenotypes of Autism Spectrum Disorder and Association With Characteristics of Individuals With Schizophrenia and the General Population.JAMA psychiatry · 2023Article
- Genetic and environmental contributions to co-occurring physical health conditions in autism spectrum condition and attention-deficit/hyperactivity disorder.Molecular autism · 2023Article
- The genetics of autism and steroid-related traits in prenatal and postnatal life.Frontiers in endocrinology · 2023Article
- Re-emerging concepts of immune dysregulation in autism spectrum disorders.Frontiers in psychiatry · 2022Review
- A maximum flow-based network approach for identification of stable noncoding biomarkers associated with the multigenic neurological condition, autism.BioData mining · 2021Article
- Autism spectrum disorder in children with Type 1 diabetes.Diabetic medicine : a journal of the British Diabetic Association · 2019Article
- Clustering of co-occurring conditions in autism spectrum disorder during early childhood: A retrospective analysis of medical claims data.Autism research : official journal of the International Society for Autism Research · 2019Article
- Article
- A large data resource of genomic copy number variation across neurodevelopmental disorders.NPJ genomic medicine · 2019Article
- Brain-specific functional relationship networks inform autism spectrum disorder gene prediction.Translational psychiatry · 2018Article
- A 16-Year Cohort Analysis of Autism Spectrum Disorder-Associated Morbidity in a Pediatric Population.Frontiers in psychiatry · 2018Article
- Blood-brain barrier development: Systems modeling and predictive toxicology.Birth defects research · 2017Review
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Authors and funding
6 authors.
Funding
Abstract
backgroundNumerous studies have highlighted the elevated degree of comorbidity associated with autism spectrum disorder (ASD). These comorbid conditions may add further impairments to individuals with autism and are substantially more prevalent compared to neurotypical populations. These high rates of comorbidity are not surprising taking into account the overlap of symptoms that ASD shares with other pathologies. From a research perspective, this suggests common molecular mechanisms involved in these conditions. Therefore, identifying crucial genes in the overlap between ASD and these comorbid disorders may help unravel the common biological processes involved and, ultimately, shed some light in the understanding of autism etiology.
resultsIn this work, we used a two-fold systems biology approach specially focused on biological processes and gene networks to conduct a comparative analysis of autism with 31 frequently comorbid disorders in order to define a multi-disorder subcomponent of ASD and predict new genes of potential relevance to ASD etiology. We validated our predictions by determining the significance of our candidate genes in high throughput transcriptome expression profiling studies. Using prior knowledge of disease-related biological processes and the interaction networks of the disorders related to autism, we identified a set of 19 genes not previously linked to ASD that were significantly differentially regulated in individuals with autism. In addition, these genes were of potential etiologic relevance to autism, given their enriched roles in neurological processes crucial for optimal brain development and function, learning and memory, cognition and social behavior.
conclusionsTaken together, our approach represents a novel perspective of autism from the point of view of related comorbid disorders and proposes a model by which prior knowledge of interaction networks may enlighten and focus the genome-wide search for autism candidate genes to better define the genetic heterogeneity of ASD.
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