An xQTL map integrates the genetic architecture of the human brain's transcriptome and epigenome.
Bernard NgCharles C WhiteHans-Ulrich KleinSolveig K SiebertsCristin McCabeEllis PatrickJishu XuLei YuChris GaiteriDavid A BennettSara MostafaviPhilip Lawrence De JagerPublished in: Nature neuroscience (2017)
We report a multi-omic resource generated by applying quantitative trait locus (xQTL) analyses to RNA sequence, DNA methylation and histone acetylation data from the dorsolateral prefrontal cortex of 411 older adults who have all three data types. We identify SNPs significantly associated with gene expression, DNA methylation and histone modification levels. Many of these SNPs influence multiple molecular features, and we demonstrate that SNP effects on RNA expression are fully mediated by epigenetic features in 9% of these loci. Further, we illustrate the utility of our new resource, xQTL Serve, by using it to prioritize the cell type(s) most affected by an xQTL. We also reanalyze published genome wide association studies using an xQTL-weighted analysis approach and identify 18 new schizophrenia and 2 new bipolar susceptibility variants, which is more than double the number of loci that can be discovered with a larger blood-based expression eQTL resource.
Keyphrases
- dna methylation
- genome wide
- prefrontal cortex
- gene expression
- copy number
- genome wide association
- poor prognosis
- bipolar disorder
- electronic health record
- magnetic resonance
- physical activity
- binding protein
- long non coding rna
- randomized controlled trial
- transcranial magnetic stimulation
- systematic review
- transcranial direct current stimulation
- genome wide association study
- artificial intelligence
- deep learning
- amino acid
- rna seq
- case control