Integrating human brain proteomes with genome-wide association data implicates new proteins in Alzheimer’s disease pathogenesis
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Integrating human brain proteomes with genome-wide association data implicates new proteins in Alzheimer’s disease pathogenesis
Authors
Keywords
-
Journal
NATURE GENETICS
Volume 53, Issue 2, Pages 143-146
Publisher
Springer Science and Business Media LLC
Online
2021-01-29
DOI
10.1038/s41588-020-00773-z
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Shared proteomic effects of cerebral atherosclerosis and Alzheimer’s disease on the human brain
- (2020) Aliza P. Wingo et al. NATURE NEUROSCIENCE
- Meta-Analysis of the Alzheimer’s Disease Human Brain Transcriptome and Functional Dissection in Mouse Models
- (2020) Ying-Wooi Wan et al. Cell Reports
- Large eQTL meta-analysis reveals differing patterns between cerebral cortical and cerebellar brain regions
- (2020) Solveig K. Sieberts et al. Scientific Data
- Genome-wide meta-analysis identifies new loci and functional pathways influencing Alzheimer’s disease risk
- (2019) Iris E. Jansen et al. NATURE GENETICS
- Opportunities and challenges for transcriptome-wide association studies
- (2019) Michael Wainberg et al. NATURE GENETICS
- Gene expression imputation across multiple brain regions provides insights into schizophrenia risk
- (2019) Laura M. Huckins et al. NATURE GENETICS
- Genetic meta-analysis of diagnosed Alzheimer’s disease identifies new risk loci and implicates Aβ, tau, immunity and lipid processing
- (2019) Brian W. Kunkle et al. NATURE GENETICS
- Single-cell transcriptomic analysis of Alzheimer’s disease
- (2019) Hansruedi Mathys et al. NATURE
- Identification of novel risk loci, causal insights, and heritable risk for Parkinson's disease: a meta-analysis of genome-wide association studies
- (2019) Mike A Nalls et al. LANCET NEUROLOGY
- Religious Orders Study and Rush Memory and Aging Project
- (2018) David A. Bennett et al. JOURNAL OF ALZHEIMERS DISEASE
- Integrating single-cell transcriptomic data across different conditions, technologies, and species
- (2018) Andrew Butler et al. NATURE BIOTECHNOLOGY
- A transcriptome-wide association study of 229,000 women identifies new candidate susceptibility genes for breast cancer
- (2018) Lang Wu et al. NATURE GENETICS
- Meta-analysis of genome-wide association studies for neuroticism in 449,484 individuals identifies novel genetic loci and pathways
- (2018) Mats Nagel et al. NATURE GENETICS
- Transcriptome-wide association study of schizophrenia and chromatin activity yields mechanistic disease insights
- (2018) Alexander Gusev et al. NATURE GENETICS
- Reproducible workflow for multiplexed deep-scale proteome and phosphoproteome analysis of tumor tissues by liquid chromatography–mass spectrometry
- (2018) Philipp Mertins et al. Nature Protocols
- Genome-wide Analyses Identify KIF5A as a Novel ALS Gene
- (2018) Aude Nicolas et al. NEURON
- Integrative analysis of omics summary data reveals putative mechanisms underlying complex traits
- (2018) Yang Wu et al. Nature Communications
- Meta-analysis of genome-wide association studies for height and body mass index in ∼700000 individuals of European ancestry
- (2018) Loic Yengo et al. HUMAN MOLECULAR GENETICS
- Meta-analysis of genome-wide association studies for body fat distribution in 694,649 individuals of European ancestry
- (2018) Sara L Pulit et al. HUMAN MOLECULAR GENETICS
- Integrative transcriptome analyses of the aging brain implicate altered splicing in Alzheimer’s disease susceptibility
- (2018) Towfique Raj et al. NATURE GENETICS
- The Mount Sinai cohort of large-scale genomic, transcriptomic and proteomic data in Alzheimer's disease
- (2018) Minghui Wang et al. Scientific Data
- A multi-omic atlas of the human frontal cortex for aging and Alzheimer’s disease research
- (2018) Philip L. De Jager et al. Scientific Data
- Next-generation genotype imputation service and methods
- (2016) Sayantan Das et al. NATURE GENETICS
- Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets
- (2016) Zhihong Zhu et al. NATURE GENETICS
- Integrative approaches for large-scale transcriptome-wide association studies
- (2016) Alexander Gusev et al. NATURE GENETICS
- Human whole genome genotype and transcriptome data for Alzheimer’s and other neurodegenerative diseases
- (2016) Mariet Allen et al. Scientific Data
- Arizona Study of Aging and Neurodegenerative Disorders and Brain and Body Donation Program
- (2015) Thomas G. Beach et al. NEUROPATHOLOGY
- Bayesian Test for Colocalisation between Pairs of Genetic Association Studies Using Summary Statistics
- (2014) Claudia Giambartolomei et al. PLoS Genetics
- STAR: ultrafast universal RNA-seq aligner
- (2012) Alexander Dobin et al. BIOINFORMATICS
- Alzheimer's disease
- (2011) Clive Ballard et al. LANCET
- Robust relationship inference in genome-wide association studies
- (2010) Ani Manichaikul et al. BIOINFORMATICS
- WGCNA: an R package for weighted correlation network analysis
- (2008) Peter Langfelder et al. BMC BIOINFORMATICS
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreDiscover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversation