Transcriptional and imaging-genetic association of cortical interneurons, brain function, and schizophrenia risk

被引:65
作者
Anderson, Kevin M. [1 ]
Collins, Meghan A. [1 ]
Chin, Rowena [1 ]
Ge, Tian [2 ,3 ]
Rosenberg, Monica D. [1 ,4 ]
Holmes, Avram J. [1 ,3 ,5 ]
机构
[1] Yale Univ, Dept Psychol, New Haven, CT 06520 USA
[2] Massachusetts Gen Hosp, Ctr Genom Med, Psychiat & Neurodev Genet Unit, Boston, MA 02114 USA
[3] Harvard Med Sch, Massachusetts Gen Hosp, Dept Psychiat, Boston, MA 02114 USA
[4] Univ Chicago, Dept Psychol, Chicago, IL 60637 USA
[5] Yale Univ, Dept Psychiat, New Haven, CT 06520 USA
基金
美国国家卫生研究院; 美国国家科学基金会;
关键词
PARVALBUMIN NEURONS; PREFRONTAL CORTEX; POLYGENIC RISK; EXPRESSION; OSCILLATIONS; DYSFUNCTION; SUBTYPES; NETWORKS; ORIGIN; LINK;
D O I
10.1038/s41467-020-16710-x
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Inhibitory interneurons orchestrate information flow across the cortex and are implicated in psychiatric illness. Although interneuron classes have unique functional properties and spatial distributions, the influence of interneuron subtypes on brain function, cortical specialization, and illness risk remains elusive. Here, we demonstrate stereotyped negative correlation of somatostatin and parvalbumin transcripts within human and non-human primates. Cortical distributions of somatostatin and parvalbumin cell gene markers are strongly coupled to regional differences in functional MRI variability. In the general population (n=9,713), parvalbumin-linked genes account for an enriched proportion of heritable variance in in-vivo functional MRI signal amplitude. Single-marker and polygenic cell deconvolution establish that this relationship is spatially dependent, following the topography of parvalbumin expression in post-mortem brain tissue. Finally, schizophrenia genetic risk is enriched among interneuron-linked genes and predicts cortical signal amplitude in parvalbumin-biased regions. These data indicate that the molecular-genetic basis of brain function is shaped by interneuron-related transcripts and may capture individual differences in schizophrenia risk. Interneuron subtypes have distinct properties and spatial distributions. Here, the authors show that the molecular-genetic basis of cortical resting-state brain function is shaped by distributions of interneuron-related transcripts and may capture individual differences in schizophrenia risk.
引用
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页数:15
相关论文
共 79 条
[1]   GENE-EXPRESSION FOR GLUTAMIC-ACID DECARBOXYLASE IS REDUCED WITHOUT LOSS OF NEURONS IN PREFRONTAL CORTEX OF SCHIZOPHRENICS [J].
AKBARIAN, S ;
KIM, JJ ;
POTKIN, SG ;
HAGMAN, JO ;
TAFAZZOLI, A ;
BUNNEY, WE ;
JONES, EG .
ARCHIVES OF GENERAL PSYCHIATRY, 1995, 52 (04) :258-266
[2]   Gene expression links functional networks across cortex and striatum [J].
Anderson, Kevin M. ;
Krienen, Fenna M. ;
Choi, Eun Young ;
Reinen, Jenna M. ;
Yeo, B. T. Thomas ;
Holmes, Avram J. .
NATURE COMMUNICATIONS, 2018, 9
[3]  
Anderson KM, 2020, BIORXIV, DOI [10.1101/2020.02.10.942227, DOI 10.1101/2020.02.10.942227]
[4]   A practical guide to linking brain-wide gene expression and neuroimaging data [J].
Arnatkeviciute, Aurina ;
Fulcher, Ben D. ;
Fornito, Alex .
NEUROIMAGE, 2019, 189 :353-367
[5]   A comprehensive transcriptional map of primate brain development [J].
Bakken, Trygve E. ;
Miller, Jeremy A. ;
Ding, Song-Lin ;
Sunkin, Susan M. ;
Smith, Kimberly A. ;
Ng, Lydia ;
Szafer, Aaron ;
Dalley, Rachel A. ;
Royall, Joshua J. ;
Lemon, Tracy ;
Shapouri, Sheila ;
Aiona, Kaylynn ;
Arnold, James ;
Bennett, Jeffrey L. ;
Bertagnolli, Darren ;
Bickley, Kristopher ;
Boe, Andrew ;
Brouner, Krissy ;
Butler, Stephanie ;
Byrnes, Emi ;
Caldejon, Shiella ;
Carey, Anita ;
Cate, Shelby ;
Chapin, Mike ;
Chen, Jefferey ;
Dee, Nick ;
Desta, Tsega ;
Dolbeare, Tim A. ;
Dotson, Nadia ;
Ebbert, Amanda ;
Fulfs, Erich ;
Gee, Garrett ;
Gilbert, Terri L. ;
Goldy, Jeff ;
Gourley, Lindsey ;
Gregor, Ben ;
Gu, Guangyu ;
Hall, Jon ;
Haradon, Zeb ;
Haynor, David R. ;
Hejazinia, Nika ;
Hoerder-Suabedissen, Anna ;
Howard, Robert ;
Jochim, Jay ;
Kinnunen, Marty ;
Kriedberg, Ali ;
Kuan, Chihchau L. ;
Lau, Christopher ;
Lee, Chang-Kyu ;
Lee, Felix .
NATURE, 2016, 535 (7612) :367-+
[6]   Investigations into within- and between-subject resting-state amplitude variations [J].
Bijsterbosch, Janine ;
Harrison, Samuel ;
Duff, Eugene ;
Alfaro-Almagro, Fidel ;
Woolrich, Mark ;
Smith, Stephen .
NEUROIMAGE, 2017, 159 :57-69
[7]   LD Score regression distinguishes confounding from polygenicity in genome-wide association studies [J].
Bulik-Sullivan, Brendan K. ;
Loh, Po-Ru ;
Finucane, Hilary K. ;
Ripke, Stephan ;
Yang, Jian ;
Patterson, Nick ;
Daly, Mark J. ;
Price, Alkes L. ;
Neale, Benjamin M. .
NATURE GENETICS, 2015, 47 (03) :291-+
[8]   Hierarchy of transcriptomic specialization across human cortex captured by structural neuroimaging topography [J].
Burt, Joshua B. ;
Demirtas, Murat ;
Eckner, William J. ;
Navejar, Natasha M. ;
Ji, Jie Lisa ;
Martin, William J. ;
Bernacchia, Alberto ;
Anticevic, Alan ;
Murray, John D. .
NATURE NEUROSCIENCE, 2018, 21 (09) :1251-+
[9]  
Cajal S., 1989, RECOLLECTIONS MY LIF, DOI [10.7551/mitpress/5817.001.0001, DOI 10.7551/MITPRESS/5817.001.0001]
[10]   Driving fast-spiking cells induces gamma rhythm and controls sensory responses [J].
Cardin, Jessica A. ;
Carlen, Marie ;
Meletis, Konstantinos ;
Knoblich, Ulf ;
Zhang, Feng ;
Deisseroth, Karl ;
Tsai, Li-Huei ;
Moore, Christopher I. .
NATURE, 2009, 459 (7247) :663-U63