scholarly journals The Changing Epidemiology of Autism Spectrum Disorders

2017 ◽  
Vol 38 (1) ◽  
pp. 81-102 ◽  
Author(s):  
Kristen Lyall ◽  
Lisa Croen ◽  
Julie Daniels ◽  
M. Daniele Fallin ◽  
Christine Ladd-Acosta ◽  
...  
Keyword(s):  
Risk Factors ◽  
De Novo ◽  
Endocrine Disrupting Chemicals ◽  
Developed Countries ◽  
Autism Spectrum ◽  
Environment Interaction ◽  
De Novo Mutations ◽  
Potential Risk Factors ◽  
Metabolic Conditions ◽  
Genetic And Environmental Factors

Autism spectrum disorder (ASD) is a complex neurodevelopmental condition with lifelong impacts. Genetic and environmental factors contribute to ASD etiology, which remains incompletely understood. Research on ASD epidemiology has made significant advances in the past decade. Current prevalence is estimated to be at least 1.5% in developed countries, with recent increases primarily among those without comorbid intellectual disability. Genetic studies have identified a number of rare de novo mutations and gained footing in the areas of polygenic risk, epigenetics, and gene-by-environment interaction. Epidemiologic investigations focused on nongenetic factors have established advanced parental age and preterm birth as ASD risk factors, indicated that prenatal exposure to air pollution and short interpregnancy interval are potential risk factors, and suggested the need for further exploration of certain prenatal nutrients, metabolic conditions, and exposure to endocrine-disrupting chemicals. We discuss future challenges and goals for ASD epidemiology as well as public health implications.

scholarly journals Epigenomic convergence of genetic and immune risk factors in neurodevelopmental disorder cortex

2018 ◽  
Author(s):  
Vogel Ciernia A. ◽  
Laufer B.I. ◽  
Dunaway K.W. ◽  
Hwang H. ◽  
Mordaunt C.E. ◽  
...  
Keyword(s):  
Risk Factors ◽  
Gene Networks ◽  
De Novo ◽  
Neurodevelopmental Disorder ◽  
Cell Types ◽  
Developed Countries ◽  
Autism Spectrum ◽  
Regulatory Regions ◽  
Human Cortex ◽  
Genes And Environment

AbstractNeurodevelopmental disorders (NDDs) impact 7% to 14% of all children in developed countries and are one of the leading causes of lifelong disability. Epigenetic modifications are poised at the interface between genes and environment and are predicted to reveal insight into the gene networks, cell types, and developmental timing of NDD etiology. Whole-genome bisulfite sequencing was used to examine DNA methylation in 49 human cortex samples from three different NDDs (autism spectrum disorder, Rett syndrome, and Dup15q syndrome) and matched controls. Integration of methylation differences across NDDs with relevant genomic and genetic datasets revealed differentially methylated regions (DMRs) unique to each type of NDD but with shared regulatory functions in neurons and microglia. DMRs were significantly enriched for known NDD genetic risk factors, including both common inherited and rare de novo variants. Weighted region co-methylation network analysis revealed a module related to NDD diagnosis and enriched for microglial regulatory regions. Together, these results demonstrate an epigenomic signature of NDDs in human cortex shared with known genetic and immune etiological risk. Epigenomic insights into cell types and gene regulatory regions will aid in defining therapeutic targets and early biomarkers at the interface of genetic and environmental NDD risk factors.

The Autism Spectrum

2018 ◽  
pp. 243-260
Author(s):  
Marco Del Giudice
Keyword(s):  
Risk Factors ◽  
De Novo ◽  
Autism Spectrum ◽  
Repetitive Behaviors ◽  
Evolutionary Models ◽  
De Novo Mutations ◽  
Life History Variation ◽  
New Directions ◽  
Developmental Features

The chapter discusses autism spectrum disorder (ASD). Autism is defined by a triad of symptoms: impairments in social interaction, impairments in communication, and restricted/repetitive behaviors and interests. After an overview of this disorder, its developmental features, and the main risk factors identified in the epidemiological literature, the chapter critically reviews existing evolutionary models and suggests new directions for research. The final section applies the criteria developed earlier in the book to classify the disorder within the fast-slow-defense (FSD) model and identify functionally distinct subtypes. The author proposes to distinguish between a slow spectrum subtype with normal or high IQ and a major role of common alleles (S-ASD) and a subtype unrelated to life history variation, with high rates of intellectual disability and a major role of rare and de novo mutations (O-ASD).

scholarly journals A Bibliometric Insight of Genetic Factors in ASD: Emerging Trends and New Developments

2020 ◽  
Vol 11 (1) ◽  
pp. 33
Author(s):  
Kang Wang ◽  
Weicheng Duan ◽  
Yijie Duan ◽  
Yuxin Yu ◽  
Xiuyi Chen ◽  
...  
Keyword(s):  
Genetic Factors ◽  
De Novo ◽  
Rapid Development ◽  
The United States ◽  
Research Area ◽  
Scientific Output ◽  
Autism Spectrum ◽  
De Novo Mutations ◽  
Emerging Trends ◽  
Genetic Abnormalities

Autism spectrum disorder (ASD) cases have increased rapidly in recent decades, which is associated with various genetic abnormalities. To provide a better understanding of the genetic factors in ASD, we assessed the global scientific output of the related studies. A total of 2944 studies published between 1997 and 2018 were included by systematic retrieval from the Web of Science (WoS) database, whose scientific landscapes were drawn and the tendencies and research frontiers were explored through bibliometric methods. The United States has been acting as a leading explorer of the field worldwide in recent years. The rapid development of high-throughput technologies and bioinformatics transferred the research method from the traditional classic method to a big data-based pipeline. As a consequence, the focused research area and tendency were also changed, as the contribution of de novo mutations in ASD has been a research hotspot in the past several years and probably will remain one into the near future, which is consistent with the current opinions of the major etiology of ASD. Therefore, more attention and financial support should be paid to the deciphering of the de novo mutations in ASD. Meanwhile, the effective cooperation of multi-research centers and scientists in different fields should be advocated in the next step of scientific research undertaken.

scholarly journals CACNA1D De Novo Mutations in Autism Spectrum Disorders Activate Cav1.3 L-Type Calcium Channels

2015 ◽  
Vol 77 (9) ◽  
pp. 816-822 ◽  
Author(s):  
Alexandra Pinggera ◽  
Andreas Lieb ◽  
Bruno Benedetti ◽  
Michaela Lampert ◽  
Stefania Monteleone ◽  
...  
Keyword(s):  
Autism Spectrum Disorders ◽  
Calcium Channels ◽  
De Novo ◽  
Autism Spectrum ◽  
De Novo Mutations ◽  
Spectrum Disorders

scholarly journals Identification of a β-Arrestin 2 Mutation Related to Autism by Whole-Exome Sequencing

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Yunfei Tang ◽  
Yamei Liu ◽  
Lei Tong ◽  
Shini Feng ◽  
Dongshu Du ◽  
...  
Keyword(s):  
Exome Sequencing ◽  
Whole Exome Sequencing ◽  
Developmental Stages ◽  
De Novo ◽  
Repetitive Behavior ◽  
Brain Regions ◽  
Autism Spectrum ◽  
Potential Contribution ◽  
De Novo Mutations ◽  
Whole Exome

Autism spectrum disorder (ASD) is a complex neurological disease characterized by impaired social communication and interaction skills, rigid behavior, decreased interest, and repetitive activities. The disease has a high degree of genetic heterogeneity, and the genetic cause of ASD in many autistic individuals is currently unclear. In this study, we report a patient with ASD whose clinical features included social interaction disorder, communication disorder, and repetitive behavior. We examined the patient’s genetic variation using whole-exome sequencing technology and found new de novo mutations. After analysis and evaluation, ARRB2 was identified as a candidate gene. To study the potential contribution of the ARRB2 gene to the human brain development and function, we first evaluated the expression profile of this gene in different brain regions and developmental stages. Then, we used weighted gene coexpression network analysis to analyze the associations between ARRB2 and ASD risk genes. Additionally, the spatial conformation and stability of the ARRB2 wild type and mutant proteins were examined by simulations. Then, we further established a mouse model of ASD. The results showed abnormal ARRB2 expression in the mouse ASD model. Our study showed that ARRB2 may be a risk gene for ASD, but the contribution of de novo ARRB2 mutations to ASD is unclear. This information will provide references for the etiology of ASD and aid in the mechanism-based drug development and treatment.

scholarly journals Patterns and rates of exonic de novo mutations in autism spectrum disorders

Nature ◽  
2012 ◽  
Vol 485 (7397) ◽  
pp. 242-245 ◽  
Author(s):  
Benjamin M. Neale ◽  
Yan Kou ◽  
Li Liu ◽  
Avi Ma’ayan ◽  
Kaitlin E. Samocha ◽  
...  
Keyword(s):  
Autism Spectrum Disorders ◽  
De Novo ◽  
Autism Spectrum ◽  
De Novo Mutations ◽  
Spectrum Disorders

scholarly journals Potential Risk Factors for the Development of Self-Injurious Behavior among Infants at Risk for Autism Spectrum Disorder

2017 ◽  
Vol 47 (5) ◽  
pp. 1403-1415 ◽  
Author(s):  
Adele F. Dimian ◽  
◽  
Kelly N. Botteron ◽  
Stephen R. Dager ◽  
Jed T. Elison ◽  
...  
Keyword(s):  
Risk Factors ◽  
Autism Spectrum Disorder ◽  
At Risk ◽  
Potential Risk ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Potential Risk Factors

scholarly journals Noncoding de novo mutations contribute to autism spectrum disorder via chromatin interactions

2019 ◽  
Author(s):  
Il Bin Kim ◽  
Taeyeop Lee ◽  
Junehawk Lee ◽  
Jonghun Kim ◽  
Hyunseong Lee ◽  
...  
Keyword(s):  
Gene Expression ◽  
Autism Spectrum Disorder ◽  
Stem Cells ◽  
Target Genes ◽  
De Novo ◽  
Regulatory Elements ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
De Novo Mutations ◽  
Chromatin Interactions

Three-dimensional chromatin structures regulate gene expression across genome. The significance of de novo mutations (DNMs) affecting chromatin interactions in autism spectrum disorder (ASD) remains poorly understood. We generated 931 whole-genome sequences for Korean simplex families to detect DNMs and identified target genes dysregulated by noncoding DNMs via long-range chromatin interactions between regulatory elements. Notably, noncoding DNMs that affect chromatin interactions exhibited transcriptional dysregulation implicated in ASD risks. Correspondingly, target genes were significantly involved in histone modification, prenatal brain development, and pregnancy. Both noncoding and coding DNMs collectively contributed to low IQ in ASD. Indeed, noncoding DNMs resulted in alterations, via chromatin interactions, in target gene expression in primitive neural stem cells derived from human induced pluripotent stem cells from an ASD subject. The emerging neurodevelopmental genes, not previously implicated in ASD, include CTNNA2, GRB10, IKZF1, PDE3B, and BACE1. Our results were reproducible in 517 probands from MSSNG cohort. This work demonstrates that noncoding DNMs contribute to ASD via chromatin interactions.

scholarly journals Paternally inherited noncoding structural variants contribute to autism

2017 ◽  
Author(s):  
William M. Brandler ◽  
Danny Antaki ◽  
Madhusudan Gujral ◽  
Morgan L. Kleiber ◽  
Michelle S. Maile ◽  
...  
Keyword(s):  
De Novo ◽  
Fetal Brain ◽  
Wide Distribution ◽  
Autism Spectrum ◽  
Structural Variants ◽  
De Novo Mutations ◽  
Whole Genome Analysis ◽  
Protein Coding ◽  
Genome Wide ◽  
Exome Aggregation Consortium

AbstractThe genetic architecture of autism spectrum disorder (ASD) is known to consist of contributions from gene-disrupting de novo mutations and common variants of modest effect. We hypothesize that the unexplained heritability of ASD also includes rare inherited variants with intermediate effects. We investigated the genome-wide distribution and functional impact of structural variants (SVs) through whole genome analysis (≥30X coverage) of 3,169 subjects from 829 families affected by ASD. Genes that are intolerant to inactivating variants in the exome aggregation consortium (ExAC) were depleted for SVs in parents, specifically within fetal-brain promoters, UTRs and exons. Rare paternally-inherited SVs that disrupt promoters or UTRs were over-transmitted to probands (P = 0.0013) and not to their typically-developing siblings. Recurrent functional noncoding deletions implicate the gene LEO1 in ASD. Protein-coding SVs were also associated with ASD (P = 0.0025). Our results establish that rare inherited SVs predispose children to ASD, with differing contributions from each parent.

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