Integrative genomics identifies a convergent molecular subtype that links epigenomic with transcriptomic differences in autism
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Title
Integrative genomics identifies a convergent molecular subtype that links epigenomic with transcriptomic differences in autism
Authors
Keywords
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Journal
Nature Communications
Volume 11, Issue 1, Pages -
Publisher
Springer Science and Business Media LLC
Online
2020-09-25
DOI
10.1038/s41467-020-18526-1
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Note: Only part of the references are listed.- Genetic risk variants for brain disorders are enriched in cortical H3K27ac domains
- (2019) Eilis Hannon et al. Molecular Brain
- Identification of common genetic risk variants for autism spectrum disorder
- (2019) Jakob Grove et al. NATURE GENETICS
- Genome-wide DNA methylation profiling identifies convergent molecular signatures associated with idiopathic and syndromic autism in post-mortem human brain tissue
- (2019) Chloe C Y Wong et al. HUMAN MOLECULAR GENETICS
- Single-cell genomics identifies cell type–specific molecular changes in autism
- (2019) Dmitry Velmeshev et al. SCIENCE
- Conserved cell types with divergent features in human versus mouse cortex
- (2019) Rebecca D. Hodge et al. NATURE
- The microglial reaction signature revealed by RNAseq from individual mice
- (2018) Hélène Hirbec et al. GLIA
- Shared molecular neuropathology across major psychiatric disorders parallels polygenic overlap
- (2018) Michael J. Gandal et al. SCIENCE
- Single-Cell RNA Sequencing of Microglia throughout the Mouse Lifespan and in the Injured Brain Reveals Complex Cell-State Changes
- (2018) Timothy R. Hammond et al. IMMUNITY
- The UCSC Genome Browser database: 2019 update
- (2018) Maximilian Haeussler et al. NUCLEIC ACIDS RESEARCH
- Polygenic transmission disequilibrium confirms that common and rare variation act additively to create risk for autism spectrum disorders
- (2017) Daniel J Weiner et al. NATURE GENETICS
- Integrative analysis of genomic and epigenomic regulation of the transcriptome in liver cancer
- (2017) Hyun Goo Woo et al. Nature Communications
- 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
- Rare Inherited and De Novo CNVs Reveal Complex Contributions to ASD Risk in Multiplex Families
- (2016) Virpi M. Leppa et al. AMERICAN JOURNAL OF HUMAN GENETICS
- Genetic Drivers of Epigenetic and Transcriptional Variation in Human Immune Cells
- (2016) Lu Chen et al. CELL
- Histone Acetylome-wide Association Study of Autism Spectrum Disorder
- (2016) Wenjie Sun et al. CELL
- Genome-wide changes in lncRNA, splicing and regional gene expression patterns in autism
- (2016) Neelroop N. Parikshak et al. NATURE
- Advancing the understanding of autism disease mechanisms through genetics
- (2016) Luis de la Torre-Ubieta et al. NATURE MEDICINE
- Genome-wide, integrative analysis implicates microRNA dysregulation in autism spectrum disorder
- (2016) Ye E Wu et al. NATURE NEUROSCIENCE
- Purification and Characterization of Progenitor and Mature Human Astrocytes Reveals Transcriptional and Functional Differences with Mouse
- (2016) Ye Zhang et al. NEURON
- The Emerging Picture of Autism Spectrum Disorder: Genetics and Pathology
- (2015) Jason A. Chen et al. Annual Review of Pathology-Mechanisms of Disease
- Association analyses identify 38 susceptibility loci for inflammatory bowel disease and highlight shared genetic risk across populations
- (2015) Jimmy Z Liu et al. NATURE GENETICS
- Partitioning heritability by functional annotation using genome-wide association summary statistics
- (2015) Hilary K Finucane et al. NATURE GENETICS
- SymNMF: nonnegative low-rank approximation of a similarity matrix for graph clustering
- (2014) Da Kuang et al. JOURNAL OF GLOBAL OPTIMIZATION
- The contribution of de novo coding mutations to autism spectrum disorder
- (2014) Ivan Iossifov et al. NATURE
- Similarity network fusion for aggregating data types on a genomic scale
- (2014) Bo Wang et al. NATURE METHODS
- Transcriptome analysis reveals dysregulation of innate immune response genes and neuronal activity-dependent genes in autism
- (2014) Simone Gupta et al. Nature Communications
- Comparative study of RNA-seq- and Microarray-derived coexpression networks in Arabidopsis thaliana
- (2013) Federico M. Giorgi et al. BIOINFORMATICS
- A data-driven approach to preprocessing Illumina 450K methylation array data
- (2013) Ruth Pidsley et al. BMC GENOMICS
- A cell epigenotype specific model for the correction of brain cellular heterogeneity bias and its application to age, brain region and major depression
- (2013) Jerry Guintivano et al. Epigenetics
- Modification of Enhancer Chromatin: What, How, and Why?
- (2013) Eliezer Calo et al. MOLECULAR CELL
- Meta-analysis of 74,046 individuals identifies 11 new susceptibility loci for Alzheimer's disease
- (2013) Jean-Charles Lambert et al. NATURE GENETICS
- Integrating Genomic, Epigenomic, and Transcriptomic Features Reveals Modular Signatures Underlying Poor Prognosis in Ovarian Cancer
- (2013) Wei Zhang et al. Cell Reports
- STAR: ultrafast universal RNA-seq aligner
- (2012) Alexander Dobin et al. BIOINFORMATICS
- Removing technical variability in RNA-seq data using conditional quantile normalization
- (2012) K. D. Hansen et al. BIOSTATISTICS
- Network methods for describing sample relationships in genomic datasets: application to Huntington’s disease
- (2012) Michael C Oldham et al. BMC Systems Biology
- ChIP-seq guidelines and practices of the ENCODE and modENCODE consortia
- (2012) S. G. Landt et al. GENOME RESEARCH
- GENCODE: The reference human genome annotation for The ENCODE Project
- (2012) J. Harrow et al. GENOME RESEARCH
- RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome
- (2011) Bo Li et al. BMC BIOINFORMATICS
- Transcriptomic analysis of autistic brain reveals convergent molecular pathology
- (2011) Irina Voineagu et al. NATURE
- GREAT improves functional interpretation of cis-regulatory regions
- (2010) Cory Y McLean et al. NATURE BIOTECHNOLOGY
- Histone modification levels are predictive for gene expression
- (2010) R. Karlic et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Equal numbers of neuronal and nonneuronal cells make the human brain an isometrically scaled-up primate brain
- (2009) Frederico A.C. Azevedo et al. JOURNAL OF COMPARATIVE NEUROLOGY
- WGCNA: an R package for weighted correlation network analysis
- (2008) Peter Langfelder et al. BMC BIOINFORMATICS
- Most mammalian mRNAs are conserved targets of microRNAs
- (2008) R. C. Friedman et al. GENOME RESEARCH
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