Literature DB >> 35915177

Cell-type-specific cis-eQTLs in eight human brain cell types identify novel risk genes for psychiatric and neurological disorders.

Julien Bryois1, Daniela Calini2, Will Macnair2, Lynette Foo2, Eduard Urich2, Ward Ortmann3, Victor Alejandro Iglesias3, Suresh Selvaraj3, Erik Nutma4, Manuel Marzin4, Sandra Amor4,5, Anna Williams6, Gonçalo Castelo-Branco7,8, Vilas Menon9, Philip De Jager9,10, Dheeraj Malhotra11.   

Abstract

To date, most expression quantitative trait loci (eQTL) studies, which investigate how genetic variants contribute to gene expression, have been performed in heterogeneous brain tissues rather than specific cell types. In this study, we performed an eQTL analysis using single-nuclei RNA sequencing from 192 individuals in eight brain cell types derived from the prefrontal cortex, temporal cortex and white matter. We identified 7,607 eGenes, a substantial fraction (46%, 3,537/7,607) of which show cell-type-specific effects, with strongest effects in microglia. Cell-type-level eQTLs affected more constrained genes and had larger effect sizes than tissue-level eQTLs. Integration of brain cell type eQTLs with genome-wide association studies (GWAS) revealed novel relationships between expression and disease risk for neuropsychiatric and neurodegenerative diseases. For most GWAS loci, a single gene co-localized in a single cell type, providing new clues into disease etiology. Our findings demonstrate substantial contrast in genetic regulation of gene expression among brain cell types and reveal potential mechanisms by which disease risk genes influence brain disorders.
© 2022. The Author(s), under exclusive licence to Springer Nature America, Inc.

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Year:  2022        PMID: 35915177     DOI: 10.1038/s41593-022-01128-z

Source DB:  PubMed          Journal:  Nat Neurosci        ISSN: 1097-6256            Impact factor:   28.771


  59 in total

Review 1.  Beyond GWASs: illuminating the dark road from association to function.

Authors:  Stacey L Edwards; Jonathan Beesley; Juliet D French; Alison M Dunning
Journal:  Am J Hum Genet       Date:  2013-11-07       Impact factor: 11.025

2.  Chromatin and gene-regulatory dynamics of the developing human cerebral cortex at single-cell resolution.

Authors:  Alexandro E Trevino; Fabian Müller; Jimena Andersen; Laksshman Sundaram; Arwa Kathiria; Anna Shcherbina; Kyle Farh; Howard Y Chang; Anca M Pașca; Anshul Kundaje; Sergiu P Pașca; William J Greenleaf
Journal:  Cell       Date:  2021-08-13       Impact factor: 41.582

3.  Single-cell transcriptomic analysis of Alzheimer's disease.

Authors:  Hansruedi Mathys; Jose Davila-Velderrain; Zhuyu Peng; Fan Gao; Shahin Mohammadi; Jennie Z Young; Madhvi Menon; Liang He; Fatema Abdurrob; Xueqiao Jiang; Anthony J Martorell; Richard M Ransohoff; Brian P Hafler; David A Bennett; Manolis Kellis; Li-Huei Tsai
Journal:  Nature       Date:  2019-05-01       Impact factor: 49.962

4.  Population-scale single-cell RNA-seq profiling across dopaminergic neuron differentiation.

Authors:  Julie Jerber; Daniel D Seaton; Anna S E Cuomo; Natsuhiko Kumasaka; James Haldane; Juliette Steer; Minal Patel; Daniel Pearce; Malin Andersson; Marc Jan Bonder; Ed Mountjoy; Maya Ghoussaini; Madeline A Lancaster; John C Marioni; Florian T Merkle; Daniel J Gaffney; Oliver Stegle
Journal:  Nat Genet       Date:  2021-03-04       Impact factor: 38.330

5.  Human and mouse single-nucleus transcriptomics reveal TREM2-dependent and TREM2-independent cellular responses in Alzheimer's disease.

Authors:  Yingyue Zhou; Wilbur M Song; Prabhakar S Andhey; Amanda Swain; Tyler Levy; Kelly R Miller; Pietro L Poliani; Manuela Cominelli; Shikha Grover; Susan Gilfillan; Marina Cella; Tyler K Ulland; Konstantin Zaitsev; Akinori Miyashita; Takeshi Ikeuchi; Makoto Sainouchi; Akiyoshi Kakita; David A Bennett; Julie A Schneider; Michael R Nichols; Sean A Beausoleil; Jason D Ulrich; David M Holtzman; Maxim N Artyomov; Marco Colonna
Journal:  Nat Med       Date:  2020-01-13       Impact factor: 53.440

6.  Genome-wide meta-analysis, fine-mapping and integrative prioritization implicate new Alzheimer's disease risk genes.

Authors:  Jeremy Schwartzentruber; Sarah Cooper; Jimmy Z Liu; Inigo Barrio-Hernandez; Erica Bello; Natsuhiko Kumasaka; Adam M H Young; Robin J M Franklin; Toby Johnson; Karol Estrada; Daniel J Gaffney; Pedro Beltrao; Andrew Bassett
Journal:  Nat Genet       Date:  2021-02-15       Impact factor: 38.330

7.  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

8.  Bayesian test for colocalisation between pairs of genetic association studies using summary statistics.

Authors:  Claudia Giambartolomei; Damjan Vukcevic; Eric E Schadt; Lude Franke; Aroon D Hingorani; Chris Wallace; Vincent Plagnol
Journal:  PLoS Genet       Date:  2014-05-15       Impact factor: 5.917

9.  Whole-Genome and RNA Sequencing Reveal Variation and Transcriptomic Coordination in the Developing Human Prefrontal Cortex.

Authors:  Donna M Werling; Sirisha Pochareddy; Jinmyung Choi; Joon-Yong An; Brooke Sheppard; Minshi Peng; Zhen Li; Claudia Dastmalchi; Gabriel Santpere; André M M Sousa; Andrew T N Tebbenkamp; Navjot Kaur; Forrest O Gulden; Michael S Breen; Lindsay Liang; Michael C Gilson; Xuefang Zhao; Shan Dong; Lambertus Klei; A Ercument Cicek; Joseph D Buxbaum; Homa Adle-Biassette; Jean-Leon Thomas; Kimberly A Aldinger; Diana R O'Day; Ian A Glass; Noah A Zaitlen; Michael E Talkowski; Kathryn Roeder; Matthew W State; Bernie Devlin; Stephan J Sanders; Nenad Sestan
Journal:  Cell Rep       Date:  2020-04-07       Impact factor: 9.423

10.  Single cell eQTL analysis identifies cell type-specific genetic control of gene expression in fibroblasts and reprogrammed induced pluripotent stem cells.

Authors:  Drew Neavin; Quan Nguyen; Nathan J Palpant; Alice Pébay; Alex W Hewitt; Joseph E Powell; Maciej S Daniszewski; Helena H Liang; Han Sheng Chiu; Yong Kiat Wee; Anne Senabouth; Samuel W Lukowski; Duncan E Crombie; Grace E Lidgerwood; Damián Hernández; James C Vickers; Anthony L Cook
Journal:  Genome Biol       Date:  2021-03-05       Impact factor: 13.583

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  1 in total

1.  A scalable Bayesian functional GWAS method accounting for multivariate quantitative functional annotations with applications for studying Alzheimer disease.

Authors:  Junyu Chen; Lei Wang; Philip L De Jager; David A Bennett; Aron S Buchman; Jingjing Yang
Journal:  HGG Adv       Date:  2022-09-17
  1 in total

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