Journal
NATURE NEUROSCIENCE
Volume 17, Issue 10, Pages 1418-1428Publisher
NATURE PUBLISHING GROUP
DOI: 10.1038/nn.3801
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Funding
- US National Institute of Neurological Disorders and Stroke [U24 NS072026]
- National Institute on Aging [P30 AG19610]
- Arizona Department of Health Services [211002]
- Arizona Biomedical Research Commission [4001, 0011, 05-901, 1001]
- Michael J. Fox Foundation for Parkinson's Research
- UK Medical Research Council (MRC) through the MRC Sudden Death Brain Bank [G0901254, G0802462]
- King Faisal Specialist Hospital and Research Centre, Saudi Arabia
- Intramural Research Program of the US National Institute on Aging, National Institutes of Health, Department of Health and Human Services [ZO1 AG000947]
- National Institute for Health Research (NIHR) Biomedical Research Centre based at Guy's and St Thomas' National Health Service (NHS) Foundation Trust
- King's College London
- Alzheimers Research UK [ARUK-PhD2014-16] Funding Source: researchfish
- Brain Research UK [UCC14182] Funding Source: researchfish
- Medical Research Council [G0501560, MR/L016400/1, MC_G1000735, G0901254, G0802462, MR/K01417X/1] Funding Source: researchfish
- National Institute for Health Research [ACF-2007-18-011] Funding Source: researchfish
- Parkinson's UK [K-1212, G-0907] Funding Source: researchfish
- MRC [G0901254, MR/L016400/1, G0501560, G0802462, MR/K01417X/1, MC_G1000735] Funding Source: UKRI
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Germ-line genetic control of gene expression occurs via expression quantitative trait loci (eQTLs). We present a large, exon-specific eQTL data set covering ten human brain regions. We found that cis-eQTL signals (within 1 Mb of their target gene) were numerous, and many acted heterogeneously among regions and exons. Co-regulation analysis of shared eQTL signals produced well-defined modules of region-specific co-regulated genes, in contrast to standard coexpression analysis of the same samples. We report cis-eQTL signals for 23.1% of catalogued genome-wide association study hits for adult-onset neurological disorders. The data set is publicly available via public data repositories and via http://www.braineac.org/. Our study increases our understanding of the regulation of gene expression in the human brain and will be of value to others pursuing functional follow-up of disease-associated variants.
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