Cargando…

Cascading epigenomic analysis for identifying disease genes from the regulatory landscape of GWAS variants

The majority of genetic variants detected in genome wide association studies (GWAS) exert their effects on phenotypes through gene regulation. Motivated by this observation, we propose a multi-omic integration method that models the cascading effects of genetic variants from epigenome to transcripto...

Descripción completa

Detalles Bibliográficos
Autores principales:	Ng, Bernard, Casazza, William, Kim, Nam Hee, Wang, Chendi, Farhadi, Farnush, Tasaki, Shinya, Bennett, David A., De Jager, Philip L., Gaiteri, Christopher, Mostafavi, Sara
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2021
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8648125/ https://www.ncbi.nlm.nih.gov/pubmed/34807913 http://dx.doi.org/10.1371/journal.pgen.1009918

Ejemplares similares

The Molecular and Neuropathological Consequences of Genetic Risk for Alzheimer's Dementia
por: Tasaki, Shinya, et al.
Publicado: (2018)

Benchmarking of deep neural networks for predicting personal gene expression from DNA sequence highlights shortcomings
por: Sasse, Alexander, et al.
Publicado: (2023)

Multi-omic Directed Networks Describe Features of Gene Regulation in Aged Brains and Expand the Set of Genes Driving Cognitive Decline
por: Tasaki, Shinya, et al.
Publicado: (2018)

Deep learning decodes the principles of differential gene expression
por: Tasaki, Shinya, et al.
Publicado: (2020)

An xQTL map integrates the genetic architecture of the human brain’s transcriptome and epigenome
por: Ng, B, et al.
Publicado: (2017)

Epigenomic and Transcriptomic Prioritization of Candidate Obesity-Risk Regulatory GWAS SNPs
por: Zhang, Xiao, et al.
Publicado: (2022)

Epigenomic landscape study reveals molecular subtypes and EBV-associated regulatory epigenome reprogramming in nasopharyngeal carcinoma
por: Ka-Yue Chow, Larry, et al.
Publicado: (2022)

CAUSEL: An epigenome and genome editing pipeline for establishing function of non-coding GWAS variants
por: Spisak, Sandor, et al.
Publicado: (2015)

Polygenic analysis of inflammatory disease variants and effects on microglia in the aging brain
por: Felsky, Daniel, et al.
Publicado: (2018)

Deconvolving the contributions of cell-type heterogeneity on cortical gene expression
por: Patrick, Ellis, et al.
Publicado: (2020)

Genetic risk for Alzheimer’s dementia predicts motor deficits through multi-omic systems in older adults
por: Tasaki, Shinya, et al.
Publicado: (2019)

Gene expression and DNA methylation are extensively coordinated with MRI-based brain microstructural characteristics
por: Gaiteri, Chris, et al.
Publicado: (2018)

The Epigenomic Landscape of Prokaryotes
por: Blow, Matthew J., et al.
Publicado: (2016)

Exploration and detection of potential regulatory variants in refractive error GWAS
por: Liao, Xuan, et al.
Publicado: (2016)

Single-Cell Epigenomics and Functional Fine-Mapping of Atherosclerosis GWAS Loci
por: Örd, Tiit, et al.
Publicado: (2021)

Robust, scalable, and informative clustering for diverse biological networks
por: Gaiteri, Chris, et al.
Publicado: (2023)

A post-GWAS analysis of predicted regulatory variants and tuberculosis susceptibility
por: Uren, Caitlin, et al.
Publicado: (2017)

Correction: The Epigenomic Landscape of Prokaryotes
Publicado: (2016)

Cognition may link cortical IGFBP5 levels with motor function in older adults
por: Buchman, Aron S., et al.
Publicado: (2019)

Leveraging transcriptome and epigenome landscapes to infer regulatory networks during the onset of sexual maturation
por: Mohamed, Amin R., et al.
Publicado: (2022)

Understanding the function of regulatory DNA interactions in the interpretation of non-coding GWAS variants
por: Zhong, Wujuan, et al.
Publicado: (2022)

Epigenomic landscapes of retinal rods and cones
por: Mo, Alisa, et al.
Publicado: (2016)

Epigenomic, genomic, and transcriptomic landscape of schwannomatosis
por: Mansouri, Sheila, et al.
Publicado: (2020)

Transcriptomic and Epigenomic Landscape in Rett Syndrome
por: Marano, Domenico, et al.
Publicado: (2021)

Bayesian Network Reconstruction Using Systems Genetics Data: Comparison of MCMC Methods
por: Tasaki, Shinya, et al.
Publicado: (2015)

Systematic integration of GATA transcription factors and epigenomes via IDEAS paints the regulatory landscape of hematopoietic cells
por: Hardison, Ross C., et al.
Publicado: (2019)

Dynamic regulation of epigenomic landscapes during hematopoiesis
por: Abraham, Brian J, et al.
Publicado: (2013)

Cross-species genomic and epigenomic landscape of retinoblastoma
por: Benavente, Claudia A., et al.
Publicado: (2013)

The integrated genomic and epigenomic landscape of brainstem glioma
por: Chen, Lee H., et al.
Publicado: (2020)

Genomic and Epigenomic Landscape of Juvenile Myelomonocytic Leukemia
por: Fiñana, Claudia, et al.
Publicado: (2022)

Functional genomic analysis delineates regulatory mechanisms of GWAS-identified bipolar disorder risk variants
por: Chen, Rui, et al.
Publicado: (2022)

cepip: context-dependent epigenomic weighting for prioritization of regulatory variants and disease-associated genes
por: Li, Mulin Jun, et al.
Publicado: (2017)

Genetic variants influence on the placenta regulatory landscape
por: Delahaye, Fabien, et al.
Publicado: (2018)

Cortical proteins may provide motor resilience in older adults
por: Buchman, Aron S., et al.
Publicado: (2021)

Inferring protein expression changes from mRNA in Alzheimer’s dementia using deep neural networks
por: Tasaki, Shinya, et al.
Publicado: (2022)

Surveying the epigenomic landscape, one base at a time
por: Zentner, Gabriel E, et al.
Publicado: (2012)

The epigenomic landscape of African rainforest hunter-gatherers and farmers
por: Fagny, Maud, et al.
Publicado: (2015)

A Unique Epigenomic Landscape Defines Human Erythropoiesis
por: Schulz, Vincent P., et al.
Publicado: (2019)

GWAS4D: multidimensional analysis of context-specific regulatory variant for human complex diseases and traits
por: Huang, Dandan, et al.
Publicado: (2018)

Multimodal profiling of the transcriptional regulatory landscape of the developing mouse cortex identifies Neurog2 as a key epigenome remodeler
por: Noack, Florian, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_nono6k51846riu9d25n7mb31uh