Regulatory sites for splicing in human basal ganglia are enriched for disease-relevant information.
Sebastian GuelfiKarishma D'SaJuan A BotíaJana VandrovcovaRegina Hertfelder ReynoldsDavid ZhangDaniah TrabzuniLeonardo Collado-TorresAndrew ThomasonPedro Quijada LeytonSarah A Gagliano TaliunMike A Nallsnull nullnull nullKerrin S SmallColin SmithAdaikalavan RamasamyJohn HardyMichael E WealeMina RytenPublished in: Nature communications (2020)
Genome-wide association studies have generated an increasing number of common genetic variants associated with neurological and psychiatric disease risk. An improved understanding of the genetic control of gene expression in human brain is vital considering this is the likely modus operandum for many causal variants. However, human brain sampling complexities limit the explanatory power of brain-related expression quantitative trait loci (eQTL) and allele-specific expression (ASE) signals. We address this, using paired genomic and transcriptomic data from putamen and substantia nigra from 117 human brains, interrogating regulation at different RNA processing stages and uncovering novel transcripts. We identify disease-relevant regulatory loci, find that splicing eQTLs are enriched for regulatory information of neuron-specific genes, that ASEs provide cell-specific regulatory information with evidence for cellular specificity, and that incomplete annotation of the brain transcriptome limits interpretation of risk loci for neuropsychiatric disease. This resource of regulatory data is accessible through our web server, http://braineacv2.inf.um.es/.
Keyphrases
- genome wide
- gene expression
- genome wide association
- transcription factor
- dna methylation
- single cell
- endothelial cells
- poor prognosis
- copy number
- health information
- genome wide association study
- white matter
- machine learning
- long non coding rna
- induced pluripotent stem cells
- small molecule
- stem cells
- big data
- social media
- cerebral ischemia
- bone marrow
- protein protein
- blood brain barrier
- mass spectrometry