Epigenomic Convergence of Neural-Immune Risk Factors in Neurodevelopmental Disorder Cortex.

Neurodevelopmental disorders (NDDs) affect 7-14% 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 NDD etiology. Whole-genome bisulfite sequencing was used to examine DNA cytosine methylation in 49 human cortex samples from 3 different NDDs (autism spectrum disorder, Rett syndrome, and Dup15q syndrome) and matched controls. Integration of methylation changes 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. NDD DMRs were enriched within promoter regions and for transcription factor binding sites with identified methylation sensitivity. DMRs from all 3 disorders were enriched for ontologies related to nervous system development and genes with disrupted expression in brain from neurodevelopmental or neuropsychiatric disorders. Genes associated with NDD DMRs showed expression patterns indicating an important role for altered microglial function during brain development. These findings demonstrate an NDD epigenomic signature in human cortex that will aid in defining therapeutic targets and early biomarkers at the interface of genetic and environmental NDD risk factors.

[1]  Terrence S. Furey,et al.  The UCSC Genome Browser Database: update 2006 , 2005, Nucleic Acids Res..

[2]  Cheng Li,et al.  Adjusting batch effects in microarray expression data using empirical Bayes methods. , 2007, Biostatistics.

[3]  I. Hertz-Picciotto,et al.  MECP2 promoter methylation and X chromosome inactivation in autism , 2008, Autism research : official journal of the International Society for Autism Research.

[4]  Steve Horvath,et al.  WGCNA: an R package for weighted correlation network analysis , 2008, BMC Bioinformatics.

[5]  Stephen T. C. Wong,et al.  MeCP2, a Key Contributor to Neurological Disease, Activates and Represses Transcription , 2008, Science.

[6]  M. Cuccaro,et al.  Genomic and epigenetic evidence for oxytocin receptor deficiency in autism , 2009, BMC medicine.

[7]  Timothy J. Durham,et al.  Systematic analysis of chromatin state dynamics in nine human cell types , 2011, Nature.

[8]  S. Horvath,et al.  Transcriptomic Analysis of Autistic Brain Reveals Convergent Molecular Pathology , 2011, Nature.

[9]  Felix Krueger,et al.  Bismark: a flexible aligner and methylation caller for Bisulfite-Seq applications , 2011, Bioinform..

[10]  James C. Cronk,et al.  Wild type microglia arrest pathology in a mouse model of Rett syndrome , 2012, Nature.

[11]  Peter Langfelder,et al.  Fast R Functions for Robust Correlations and Hierarchical Clustering. , 2012, Journal of statistical software.

[12]  B. Langmead,et al.  BSmooth: from whole genome bisulfite sequencing reads to differentially methylated regions , 2012, Genome Biology.

[13]  M. McHugh Interrater reliability: the kappa statistic , 2012, Biochemia medica.

[14]  D. Pinto,et al.  Rare deletions at the neurexin 3 locus in autism spectrum disorder. , 2012, American journal of human genetics.

[15]  Manolis Kellis,et al.  ChromHMM: automating chromatin-state discovery and characterization , 2012, Nature Methods.

[16]  J. LaSalle,et al.  Epigenetic layers and players underlying neurodevelopment , 2013, Trends in Neurosciences.

[17]  S. Horvath,et al.  Genes and pathways underlying regional and cell type changes in Alzheimer's disease , 2013, Genome Medicine.

[18]  Toshiro K. Ohsumi,et al.  The Microglial Sensome Revealed by Direct RNA Sequencing , 2013, Nature Neuroscience.

[19]  Caleb Webber,et al.  GAT: a simulation framework for testing the association of genomic intervals , 2013, Bioinform..

[20]  E. Ben-David,et al.  Combined analysis of exome sequencing points toward a major role for transcription regulation during brain development in autism , 2013, Molecular Psychiatry.

[21]  E. Reuveni,et al.  DNA methylation analysis of the autistic brain reveals multiple dysregulated biological pathways , 2014, Translational Psychiatry.

[22]  M. Knapp,et al.  Costs of autism spectrum disorders in the United Kingdom and the United States. , 2014, JAMA pediatrics.

[23]  A. Feinberg,et al.  Common DNA methylation alterations in multiple brain regions in autism , 2014, Molecular Psychiatry.

[24]  Christopher S. Poultney,et al.  Synaptic, transcriptional, and chromatin genes disrupted in autism , 2014, Nature.

[25]  Boris Yamrom,et al.  The contribution of de novo coding mutations to autism spectrum disorder , 2014, Nature.

[26]  I. Hertz-Picciotto,et al.  Maternal lifestyle and environmental risk factors for autism spectrum disorders. , 2014, International journal of epidemiology.

[27]  C. Dudley,et al.  The Value of Caregiver Time: Costs of Support and Care for Individuals Living with Autism Spectrum Disorder , 2014 .

[28]  L. Vissers,et al.  Genome sequencing identifies major causes of severe intellectual disability , 2014, Nature.

[29]  Shannon E. Ellis,et al.  Transcriptome analysis reveals dysregulation of innate immune response genes and neuronal activity-dependent genes in autism , 2014, Nature Communications.

[30]  E. Koonin,et al.  Differences in DNA methylation between human neuronal and glial cells are concentrated in enhancers and non-CpG sites , 2013, Nucleic acids research.

[31]  Shahar Shohat,et al.  Bias towards large genes in autism , 2014, Nature.

[32]  Christopher S. Poultney,et al.  Insights into Autism Spectrum Disorder Genomic Architecture and Biology from 71 Risk Loci , 2015, Neuron.

[33]  P. Flicek,et al.  The Ensembl Regulatory Build , 2015, Genome Biology.

[34]  Steffen Jung,et al.  Methyl-CpG Binding Protein 2 Regulates Microglia and Macrophage Gene Expression in Response to Inflammatory Stimuli. , 2015, Immunity.

[35]  Jeremy A. Miller,et al.  Induction of a common microglia gene expression signature by aging and neurodegenerative conditions: a co-expression meta-analysis , 2015, Acta Neuropathologica Communications.

[36]  E. Fadel,et al.  IL-6 and Akt are involved in muscular pathogenesis in myasthenia gravis , 2015, Acta neuropathologica communications.

[37]  I. Amit,et al.  Host microbiota constantly control maturation and function of microglia in the CNS , 2015, Nature Neuroscience.

[38]  Ash A. Alizadeh,et al.  Robust enumeration of cell subsets from tissue expression profiles , 2015, Nature Methods.

[39]  Michael Q. Zhang,et al.  Integrative analysis of 111 reference human epigenomes , 2015, Nature.

[40]  I. Amit,et al.  Microglia development follows a stepwise program to regulate brain homeostasis , 2016, Science.

[41]  Luis de la Torre Ubieta,et al.  Genome-wide changes in lncRNA, splicing, and regional gene expression patterns in autism , 2016, Nature.

[42]  Samuel S. Gross,et al.  Genome-wide characteristics of de novo mutations in autism , 2016, npj Genomic Medicine.

[43]  L. Mâsse,et al.  Child functional characteristics explain child and family outcomes better than diagnosis: Population-based study of children with autism or other neurodevelopmental disorders/disabilities. , 2016, Health reports.

[44]  R. Edwards,et al.  Transcriptome analysis of human brain tissue identifies reduced expression of complement complex C1Q Genes in Rett syndrome , 2016, BMC Genomics.

[45]  James Y. Zou Analysis of protein-coding genetic variation in 60,706 humans , 2015, Nature.

[46]  I. Korf,et al.  Cumulative Impact of Polychlorinated Biphenyl and Large Chromosomal Duplications on DNA Methylation, Chromatin, and Expression of Autism Candidate Genes. , 2016, Cell reports.

[47]  C. Webber,et al.  Systematic Phenomics Analysis Deconvolutes Genes Mutated in Intellectual Disability into Biologically Coherent Modules. , 2016, American journal of human genetics.

[48]  D. Geschwind,et al.  Advancing the understanding of autism disease mechanisms through genetics , 2016, Nature Medicine.

[49]  D. Geschwind,et al.  Histone Acetylome-wide Association Study of Autism Spectrum Disorder , 2016, Cell.

[50]  J. LaSalle,et al.  The landscape of DNA methylation amid a perfect storm of autism aetiologies , 2016, Nature Reviews Neuroscience.

[51]  Måns Magnusson,et al.  MultiQC: summarize analysis results for multiple tools and samples in a single report , 2016, Bioinform..

[52]  I. Amit,et al.  A Unique Microglia Type Associated with Restricting Development of Alzheimer’s Disease , 2017, Cell.

[53]  D. Zheng,et al.  Transcriptome analysis of microglia in a mouse model of Rett syndrome: differential expression of genes associated with microglia/macrophage activation and cellular stress , 2017, Molecular Autism.

[54]  J. Dudley,et al.  Open chromatin profiling of human postmortem brain infers functional roles for non‐coding schizophrenia loci , 2017, Human molecular genetics.

[55]  S. Bilbo,et al.  Generation of a microglial developmental index in mice and in humans reveals a sex difference in maturation and immune reactivity , 2017, Glia.

[56]  E. Reuveni,et al.  Dysregulation of Cortical Neuron DNA Methylation Profile in Autism Spectrum Disorder , 2017, Cerebral cortex.

[57]  M. Nedergaard,et al.  Understanding the functions and relationships of the glymphatic system and meningeal lymphatics. , 2017, The Journal of clinical investigation.

[58]  Baptiste N. Jaeger,et al.  An environment-dependent transcriptional network specifies human microglia identity , 2017, Science.

[59]  S. J. Lopez,et al.  UBE3A-mediated regulation of imprinted genes and epigenome-wide marks in human neurons , 2017, Epigenetics.

[60]  Ivana V. Yang,et al.  Small-Magnitude Effect Sizes in Epigenetic End Points are Important in Children’s Environmental Health Studies: The Children’s Environmental Health and Disease Prevention Research Center’s Epigenetics Working Group , 2017, Environmental health perspectives.

[61]  Maureen A. Sartor,et al.  annotatr: Genomic regions in context , 2016, bioRxiv.

[62]  Christopher S. Poultney,et al.  Meta-analysis of GWAS of over 16,000 individuals with autism spectrum disorder highlights a novel locus at 10q24.32 and a significant overlap with schizophrenia , 2017, Molecular Autism.

[63]  P. Brust,et al.  Maternal immune activation results in complex microglial transcriptome signature in the adult offspring that is reversed by minocycline treatment , 2017, Translational Psychiatry.

[64]  Meiyun Wang,et al.  The association between maternal use of folic acid supplements during pregnancy and risk of autism spectrum disorders in children: a meta-analysis , 2017, Molecular Autism.

[65]  Izumi Maezawa,et al.  CX3CR1 ablation ameliorates motor and respiratory dysfunctions and improves survival of a Rett syndrome mouse model , 2017, Brain, Behavior, and Immunity.

[66]  Annie W Shieh,et al.  Transcriptome-wide isoform-level dysregulation in ASD, schizophrenia, and bipolar disorder , 2018, Science.

[67]  Simon Andrews,et al.  FastQ Screen: A tool for multi-genome mapping and quality control , 2018, F1000Research.

[68]  Jie Qiao,et al.  A single-cell RNA-seq survey of the developmental landscape of the human prefrontal cortex , 2018, Nature.

[69]  J. Milbrandt,et al.  Abnormal Microglia and Enhanced Inflammation-Related Gene Transcription in Mice with Conditional Deletion of Ctcf in Camk2a-Cre-Expressing Neurons , 2017, The Journal of Neuroscience.

[70]  E. King,et al.  Pan-cancer deconvolution of tumour composition using DNA methylation , 2018, Nature Communications.

[71]  J. LaSalle,et al.  Microglia from offspring of dams with allergic asthma exhibit epigenomic alterations in genes dysregulated in autism , 2017, bioRxiv.

[72]  S. Horvath,et al.  Shared molecular neuropathology across major psychiatric disorders parallels polygenic overlap , 2016, Science.

[73]  Denis Thieffry,et al.  MethMotif: an integrative cell specific database of transcription factor binding motifs coupled with DNA methylation profiles , 2018, Nucleic Acids Res..

[74]  Rafael A Irizarry,et al.  Detection and accurate False Discovery Rate control of differentially methylated regions from Whole Genome Bisulfite Sequencing , 2017, bioRxiv.