4.7 Article

Genetic variability in the regulation of gene expression in ten regions of the human brain

Journal

NATURE NEUROSCIENCE
Volume 17, Issue 10, Pages 1418-1428

Publisher

NATURE PUBLISHING GROUP
DOI: 10.1038/nn.3801

Keywords

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Funding

  1. US National Institute of Neurological Disorders and Stroke [U24 NS072026]
  2. National Institute on Aging [P30 AG19610]
  3. Arizona Department of Health Services [211002]
  4. Arizona Biomedical Research Commission [4001, 0011, 05-901, 1001]
  5. Michael J. Fox Foundation for Parkinson's Research
  6. UK Medical Research Council (MRC) through the MRC Sudden Death Brain Bank [G0901254, G0802462]
  7. King Faisal Specialist Hospital and Research Centre, Saudi Arabia
  8. Intramural Research Program of the US National Institute on Aging, National Institutes of Health, Department of Health and Human Services [ZO1 AG000947]
  9. National Institute for Health Research (NIHR) Biomedical Research Centre based at Guy's and St Thomas' National Health Service (NHS) Foundation Trust
  10. King's College London
  11. Alzheimers Research UK [ARUK-PhD2014-16] Funding Source: researchfish
  12. Brain Research UK [UCC14182] Funding Source: researchfish
  13. Medical Research Council [G0501560, MR/L016400/1, MC_G1000735, G0901254, G0802462, MR/K01417X/1] Funding Source: researchfish
  14. National Institute for Health Research [ACF-2007-18-011] Funding Source: researchfish
  15. Parkinson's UK [K-1212, G-0907] Funding Source: researchfish
  16. 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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