Back to search

Article

Large eQTL meta-analysis reveals differing patterns between cerebral cortical and cerebellar brain regions

2019-05-17

Abstract excerpt

The availability of high-quality RNA-sequencing and genotyping data of post-mortem brain collections from consortia such as CommonMind Consortium (CMC) and the Accelerating Medicines Partnership for Alzheimer’s Disease (AMP-AD) Consortium enable the generation of a large-scale brain cis -eQTL meta-analysis. Here we generate cerebral cortical eQTL from 1433 samples available from four cohorts (identifying >4.1 mil...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
3f5a0329-445d-5b4e-a58d-c399b9588409
DOI
10.1101/638544
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Large eQTL meta-analysis reveals differing patterns between cerebral cortical and cerebellar brain regionsDOI 10.1101/638544
Mapping the genetic regulation of long non-coding RNAs across cellular contexts advances understanding of complex brain diseasesSemantic proximity
Brain eQTLs of European, African American, and Asian ancestry improve interpretation of schizophrenia GWASSemantic proximity
SingleBrain: A Meta-Analysis of Single-Nucleus eQTLs Linking Genetic Risk to Brain DisordersSemantic proximity
A meta-analysis of single-nucleus expression quantitative trait loci linking genetic risk to brain disorders.Semantic proximity
Leveraging brain cortex-derived molecular data to elucidate epigenetic and transcriptomic drivers of neurological function and diseaseSemantic proximity
Brain expression quantitative trait locus and network analyses reveal downstream effects and putative drivers for brain-related diseases.Semantic proximity
Mapping genetic effects on splicing in ten thousand post-mortem brain samples reveals novel mediators of neurological disease riskSemantic proximity
Cross-ancestry analysis of brain QTLs enhances interpretation of schizophrenia genome-wide association studies.Semantic proximity
Multi-ancestry eQTL meta-analysis of human brain identifies candidate causal variants for brain-related traits.Semantic proximity
Leveraging brain cortex-derived molecular data to elucidate epigenetic and transcriptomic drivers of complex traits and disease.Semantic proximity
Genome-wide association study followed by trans-ancestry meta-analysis identify 17 new risk loci for schizophrenia.Semantic proximity
Brain expression quantitative trait locus and network analysis reveals downstream effects and putative drivers for brain-related diseasesSemantic proximity
Select a neighboring publication to make it the new centre.