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Brain cell type–specific enhancer–promoter interactome maps and disease-risk association

  • Alexi Nott
  • , Inge R. Holtman
  • , Nicole G. Coufal
  • , Johannes C.M. Schlachetzki
  • , Miao Yu
  • , Rong Hu
  • , Claudia Z. Han
  • , Monique Pena
  • , Jiayang Xiao
  • , Yin Wu
  • , Zahara Keulen
  • , Martina P. Pasillas
  • , Carolyn O’Connor
  • , Christian K. Nickl
  • , Simon T. Schafer
  • , Zeyang Shen
  • , Robert A. Rissman
  • , James B. Brewer
  • , David Gosselin
  • , David D. Gonda
  • Michael L. Levy, Michael G. Rosenfeld, Graham McVicker, Fred H. Gage, Bing Ren, Christopher K. Glass
  • University of California San Diego
  • University Medical Center Groningen
  • Salk Institute for Biological Studies
  • Department of Pediatrics
  • Ludwig Institute for Cancer Research; University of California San Diego
  • Department of Bioengineering
  • Department of Neurosciences
  • Veterans Affairs San Diego Healthcare System San Diego
  • Université Laval
  • Rady Children’s Hospital San Diego
  • University of California, San Diego
  • Department of Medicine

Research output: Contribution to journalArticlepeer-review

501 Scopus citations

Abstract

Noncoding genetic variation is a major driver of phenotypic diversity, but functional interpretation is challenging. To better understand common genetic variation associated with brain diseases, we defined noncoding regulatory regions for major cell types of the human brain. Whereas psychiatric disorders were primarily associated with variants in transcriptional enhancers and promoters in neurons, sporadic Alzheimer’s disease (AD) variants were largely confined to microglia enhancers. Interactome maps connecting disease-risk variants in cell-type–specific enhancers to promoters revealed an extended microglia gene network in AD. Deletion of a microglia-specific enhancer harboring AD-risk variants ablated BIN1 expression in microglia, but not in neurons or astrocytes. These findings revise and expand the list of genes likely to be influenced by noncoding variants in AD and suggest the probable cell types in which they function.

Original languageEnglish
Pages (from-to)1134-1139
Number of pages6
JournalScience
Volume366
Issue number6469
DOIs
StatePublished - 29 Nov 2019
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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