Literature DB >> 35931864

Genetics of the human microglia regulome refines Alzheimer's disease risk loci.

Roman Kosoy1,2,3,4,5, John F Fullard6,7,8,9,10, Biao Zeng6,7,8,9,10, Jaroslav Bendl6,7,8,9,10, Pengfei Dong6,7,8,9,10, Samir Rahman6,7,8,9,10, Steven P Kleopoulos6,7,8,9,10, Zhiping Shao6,7,8,9,10, Kiran Girdhar6,7,8,9,10, Jack Humphrey7,9,11,12, Katia de Paiva Lopes7,9,11,12,13, Alexander W Charney7,10, Brian H Kopell10,11,12,14, Towfique Raj7,9,11,12, David Bennett13,15, Christopher P Kellner14, Vahram Haroutunian10,11,16, Gabriel E Hoffman17,18,19,20,21, Panos Roussos22,23,24,25,26,27,28.   

Abstract

Microglia are brain myeloid cells that play a critical role in neuroimmunity and the etiology of Alzheimer's disease (AD), yet our understanding of how the genetic regulatory landscape controls microglial function and contributes to AD is limited. Here, we performed transcriptome and chromatin accessibility profiling in primary human microglia from 150 donors to identify genetically driven variation and cell-specific enhancer-promoter (E-P) interactions. Integrative fine-mapping analysis identified putative regulatory mechanisms for 21 AD risk loci, of which 18 were refined to a single gene, including 3 new candidate risk genes (KCNN4, FIBP and LRRC25). Transcription factor regulatory networks captured AD risk variation and identified SPI1 as a key putative regulator of microglia expression and AD risk. This comprehensive resource capturing variation in the human microglia regulome provides insights into the etiology of neurodegenerative disease.
© 2022. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.

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Year:  2022        PMID: 35931864      PMCID: PMC9388367          DOI: 10.1038/s41588-022-01149-1

Source DB:  PubMed          Journal:  Nat Genet        ISSN: 1061-4036            Impact factor:   41.307


  62 in total

Review 1.  Microglia emerge as central players in brain disease.

Authors:  Michael W Salter; Beth Stevens
Journal:  Nat Med       Date:  2017-09-08       Impact factor: 53.440

2.  An environment-dependent transcriptional network specifies human microglia identity.

Authors:  David Gosselin; Dylan Skola; Nicole G Coufal; Inge R Holtman; Johannes C M Schlachetzki; Eniko Sajti; Baptiste N Jaeger; Carolyn O'Connor; Conor Fitzpatrick; Martina P Pasillas; Monique Pena; Amy Adair; David D Gonda; Michael L Levy; Richard M Ransohoff; Fred H Gage; Christopher K Glass
Journal:  Science       Date:  2017-05-25       Impact factor: 47.728

Review 3.  The identity and function of microglia in neurodegeneration.

Authors:  Wilbur M Song; Marco Colonna
Journal:  Nat Immunol       Date:  2018-09-24       Impact factor: 25.606

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

Authors:  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
Journal:  Science       Date:  2019-11-14       Impact factor: 47.728

5.  Genetic analysis of the human microglial transcriptome across brain regions, aging and disease pathologies.

Authors:  Katia de Paiva Lopes; Gijsje J L Snijders; Jack Humphrey; Lot D de Witte; Towfique Raj; Amanda Allan; Marjolein A M Sneeboer; Elisa Navarro; Brian M Schilder; Ricardo A Vialle; Madison Parks; Roy Missall; Welmoed van Zuiden; Frederieke A J Gigase; Raphael Kübler; Amber Berdenis van Berlekom; Emily M Hicks; Chotima Bӧttcher; Josef Priller; René S Kahn
Journal:  Nat Genet       Date:  2022-01-06       Impact factor: 41.307

6.  A map of transcriptional heterogeneity and regulatory variation in human microglia.

Authors:  Adam M H Young; Natsuhiko Kumasaka; Fiona Calvert; Timothy R Hammond; Andrew Knights; Nikolaos Panousis; Jun Sung Park; Jeremy Schwartzentruber; Jimmy Liu; Kousik Kundu; Michael Segel; Natalia A Murphy; Christopher E McMurran; Harry Bulstrode; Jason Correia; Karol P Budohoski; Alexis Joannides; Mathew R Guilfoyle; Rikin Trivedi; Ramez Kirollos; Robert Morris; Matthew R Garnett; Ivan Timofeev; Ibrahim Jalloh; Katherine Holland; Richard Mannion; Richard Mair; Colin Watts; Stephen J Price; Peter J Kirkpatrick; Thomas Santarius; Edward Mountjoy; Maya Ghoussaini; Nicole Soranzo; Omer A Bayraktar; Beth Stevens; Peter J Hutchinson; Robin J M Franklin; Daniel J Gaffney
Journal:  Nat Genet       Date:  2021-06-03       Impact factor: 38.330

7.  Integration of Alzheimer's disease genetics and myeloid genomics identifies disease risk regulatory elements and genes.

Authors:  Edoardo Marcora; Alison M Goate; Gloriia Novikova; Manav Kapoor; Julia Tcw; Edsel M Abud; Anastasia G Efthymiou; Steven X Chen; Haoxiang Cheng; John F Fullard; Jaroslav Bendl; Yiyuan Liu; Panos Roussos; Johan Lm Björkegren; Yunlong Liu; Wayne W Poon; Ke Hao
Journal:  Nat Commun       Date:  2021-03-12       Impact factor: 14.919

8.  Common schizophrenia risk variants are enriched in open chromatin regions of human glutamatergic neurons.

Authors:  Mads E Hauberg; Jordi Creus-Muncunill; Jaroslav Bendl; Alexey Kozlenkov; Biao Zeng; Chuhyon Corwin; Sarah Chowdhury; Harald Kranz; Yasmin L Hurd; Michael Wegner; Anders D Børglum; Stella Dracheva; Michelle E Ehrlich; John F Fullard; Panos Roussos
Journal:  Nat Commun       Date:  2020-11-04       Impact factor: 14.919

9.  Single-cell epigenomic analyses implicate candidate causal variants at inherited risk loci for Alzheimer's and Parkinson's diseases.

Authors:  M Ryan Corces; Anna Shcherbina; Soumya Kundu; Michael J Gloudemans; Laure Frésard; Jeffrey M Granja; Bryan H Louie; Tiffany Eulalio; Shadi Shams; S Tansu Bagdatli; Maxwell R Mumbach; Boxiang Liu; Kathleen S Montine; William J Greenleaf; Anshul Kundaje; Stephen B Montgomery; Howard Y Chang; Thomas J Montine
Journal:  Nat Genet       Date:  2020-10-26       Impact factor: 41.307

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