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Genetic identification of brain cell types underlying schizophrenia
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Abstract
With few exceptions, the marked advances in knowledge about the genetic basis of schizophrenia have not converged on findings that can be confidently used for precise experimental modeling. By applying knowledge of the cellular taxonomy of the brain from single-cell RNA sequencing, we evaluated whether the genomic loci implicated in schizophrenia map onto specific brain cell types. We found that the common-variant genomic results consistently mapped to pyramidal cells, medium spiny neurons (MSNs) and certain interneurons, but far less consistently to embryonic, progenitor or glial cells. These enrichments were due to sets of genes that were specifically expressed in each of these cell types. We also found that many of the diverse gene sets previously associated with schizophrenia (genes involved in synaptic function, those encoding mRNAs that interact with FMRP, antipsychotic targets, etc.) generally implicated the same brain cell types. Our results suggest a parsimonious explanation: the common-variant genetic results for schizophrenia point at a limited set of neurons, and the gene sets point to the same cells. The genetic risk associated with MSNs did not overlap with that of glutamatergic pyramidal cells and interneurons, suggesting that different cell types have biologically distinct roles in schizophrenia.
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“The atlas will also help us understand the function of specific genes—for example, those implicated in disease (Skene et al., 2018).”
From Molecular Architecture of the Mouse Nervous System (2018) · cites this paper as Skene et al., 2018
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
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“A similar result was observed using a mouse single-cell dataset14”
From New insights into the genetic etiology of Alzheimer’s disease and related dementias (2022) · cites this paper as [14]
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“In mouse single-cell RNA-seq data16, we found similar patterns of enrichments in genes with high expression in excitatory glutamatergic pyramidal neurons from the cortex and hippocampus (Figure 4b), and inhibitory cortical interneurons.”
From Mapping genomic loci implicates genes and synaptic biology in schizophrenia (2022) · cites this paper as [16]
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“Briefly, brain-cell-type expression data were drawn from single-cell RNA-seq data from mouse brains.”
From Genome-wide association meta-analysis in 269,867 individuals identifies new genetic and functional links to intelligence (2018) · cites this paper as [53]
In the citing paper
“We also identified a significant gene-set (P = 3.87 × 10-5) containing somatosensory pyramidal neurons using brain cell-type data from Skene, et al. 15 (Table 3).”
From Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions (2019) · cites this paper as [15]
In the citing paper
“Common variation in SCZ maps onto specific groups of cells including pyramidal neurons and medium spiny neurons31.”
From A computational tool (H-MAGMA) for improved prediction of brain-disorder risk genes by incorporating brain chromatin interaction profiles (2020) · cites this paper as [31]
In the citing paper
“At present, many psychiatric GWAS are under-powered to accomplish these intentions (Skene et al., 2018).”
From Defining the genetic, genomic, cellular, and diagnostic architectures of psychiatric disorders (2019) · cites this paper as Skene et al., 2018
In the citing paper
“This inhibitory neuron-related module is not enriched for common or rare genetic disease-associated variation, although other studies have found enrichment for SCZ GWAS signal among interneuron markers defined in other ways (63).”
From Transcriptome-wide isoform-level dysregulation in ASD, schizophrenia, and bipolar disorder (2018) · cites this paper as [63]
In the citing paper
“Here, we found widespread enrichments across central nervous system neurons with limited to no signal in glial cells and peripheral nervous system neurons (Table S10, Figure S17).”
From Rare coding variants in ten genes confer substantial risk for schizophrenia (2022) · cites this paper as [33]
In the citing paper
“In contrast to AD in which multiple glial cells are implicated, previous work has indicated neurons as the central cell-type harboring genetic risk for the majority of psychiatric disorders3,22,46,58–61.”
From Neuronal and glial 3D chromatin architecture informs the cellular etiology of brain disorders (2021) · cites this paper as [61]
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Citations
Cites
A global reference for human genetic variation
The 1000 Genomes Project Consortium, authors, C., Auton, A., Abecasis, G. R., Steering committee, Altshuler, D. M., Durbin, R. M., Abecasis, G. R., Bentley, D. R., Chakravarti, A., et al. (2015) · Nature · doi:10.1038/nature15393 · Cited by 18,247
Analysis of protein-coding genetic variation in 60,706 humans
Exome Aggregation Consortium, Lek, M., Karczewski, K. J., Minikel, E. V., Samocha, K. E., Banks, E., Fennell, T., O’Donnell-Luria, A. H., Ware, J. S., Hill, A. J., et al. (2016) · Nature · doi:10.1038/nature19057 · Cited by 9,587
Self-citationBiological insights from 108 schizophrenia-associated genetic loci
Schizophrenia Working Group of the Psychiatric Genomics Consortium (2014) · Nature · doi:10.1038/nature13595 · Cited by 7,577
The Genotype-Tissue Expression (GTEx) pilot analysis: Multitissue gene regulation in humans
The GTEx Consortium, Ardlie, K. G., Deluca, D. S., Segrè, A. V., Sullivan, T. J., Young, T. R., Gelfand, E. T., Trowbridge, C. A., Maller, J. B., Tukiainen, T., et al. (2015) · Science · doi:10.1126/science.1262110 · Cited by 5,062
Meta-Analysis of 74,046 Individuals Identifies 11 New Susceptibility Loci for Alzheimer’s Disease
(EADI), E. A. D. I., Lambert, J.-C., (GERAD), G. A. E. R. I. A. D., Alzheimer's Disease Genetic Consortium (ADGC), (CHARGE), C. F. H. A. A. R. I. G. E., Ibrahim-Verbaas, C. A., Harold, D., Naj, A. C., Sims, R., Bellenguez, C., et al. (2013) · Nature Genetics · doi:10.1038/ng.2802 · Cited by 4,336
Self-citationMAGMA: Generalized Gene-Set Analysis of GWAS Data
de Leeuw, C. A., Mooij, J. M., Heskes, T., & Posthuma, D. (2015) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1004219 · Cited by 3,653
Cell types in the mouse cortex and hippocampus revealed by single-cell RNA-seq
Zeisel, A., Muñoz-Manchado, A. B., Codeluppi, S., Lönnerberg, P., La Manno, G., Juréus, A., Marques, S., Munguba, H., He, L., Betsholtz, C., et al. (2015) · Science · doi:10.1126/science.aaa1934 · Cited by 3,124
Self-citationA subcellular map of the human proteome
Thul, P. J., Åkesson, L., Wiking, M., Mahdessian, D., Geladaki, A., Ait Blal, H., Alm, T., Asplund, A., Björk, L., Breckels, L. M., et al. (2017) · Science · doi:10.1126/science.aal3321 · Cited by 2,813
USING THE CORRECT STATISTICAL TEST FOR THE EQUALITY OF REGRESSION COEFFICIENTS
Paternoster, R., Brame, R. W., Mazerolle, P., & Piquero, A. R. (1998) · Criminology · doi:10.1111/j.1745-9125.1998.tb01268.x · Cited by 2,755
Partitioning heritability by functional annotation using genome-wide association summary statistics
ReproGen Consortium, Finucane, H. K., Schizophrenia Working Group of the Psychiatric Genomics Consortium, The RACI Consortium, Bulik-Sullivan, B., Gusev, A., Trynka, G., Reshef, Y., Loh, P.-R., Anttila, V., et al. (2015) · Nature Genetics · doi:10.1038/ng.3404 · Cited by 2,604
Schizophrenia risk from complex variation of complement component 4
Sekar, A., Bialas, A. R., de Rivera, H., Davis, A., Hammond, T. R., Kamitaki, N., Tooley, K., Presumey, J., Baum, M., Van Doren, V., et al. (2016) · Nature · doi:10.1038/nature16549 · Cited by 2,394
Molecular anatomy of a trafficking organelle
Takamori, S., Holt, M., Stenius, K., Lemke, E. A., Grønborg, M., Riedel, D., Urlaub, H., Schenck, S., Brügger, B., Ringler, P., et al. (2006) · Cell · doi:10.1016/j.cell.2006.10.030 · Cited by 2,373
FMRP Stalls Ribosomal Translocation on mRNAs Linked to Synaptic Function and Autism
Darnell, J. C., Van Driesche, S. J., Zhang, C., Hung, K. Y. S., Mele, A., Fraser, C. E., Stone, E. F., Chen, C., Fak, J. J., Chi, S. W., et al. (2011) · Cell · doi:10.1016/j.cell.2011.06.013 · Cited by 2,072
Analysis of shared heritability in common disorders of the brain
The Brainstorm Consortium, Anttila, V., Bulik-Sullivan, B., Finucane, H. K., Walters, R. K., Bras, J., Duncan, L., Escott-Price, V., Falcone, G. J., Gormley, P., et al. (2018) · Science · doi:10.1126/science.aap8757 · Cited by 1,924
Self-citationInternational Parkinson's Disease Genomics Consortium (IPDGC), Nalls, M. A., Parkinson's Study Group (PSG) Parkinson's Research: The Organized GENetics Initiative (PROGENI), 23andMe, GenePD, NeuroGenetics Research Consortium (NGRC), Hussman Institute of Human Genomics (HIHG), Investigator, T. A. J. D., (CHARGE), C. F. H. A. A. R. I. G. E., North American Brain Expression Consortium (NABEC), et al. (2014) · Nature Genetics · doi:10.1038/ng.3043 · Cited by 1,895
Systematic meta-analyses of Alzheimer disease genetic association studies: the AlzGene database
Bertram, L., McQueen, M. B., Mullin, K., Blacker, D., & Tanzi, R. E. (2007) · Nature Genetics · doi:10.1038/ng1934 · Cited by 1,857
The Electronic Medical Records and Genomics (eMERGE) Consortium, Wood, A. R., The MIGen Consortium, The PAGE Consortium, Study, T. L. C., Esko, T., Yang, J., Vedantam, S., Pers, T. H., Gustafsson, S., et al. (2014) · Nature Genetics · doi:10.1038/ng.3097 · Cited by 1,853
Adult mouse cortical cell taxonomy revealed by single cell transcriptomics
Tasic, B., Menon, V., Nguyen, T. N., Kim, T. K., Jarsky, T., Yao, Z., Levi, B., Gray, L. T., Sorensen, S. A., Dolbeare, T., et al. (2016) · Nature Neuroscience · doi:10.1038/nn.4216 · Cited by 1,714
De novo mutations in schizophrenia implicate synaptic networks
Fromer, M., Pocklington, A. J., Kavanagh, D. H., Williams, H. J., Dwyer, S., Gormley, P., Georgieva, L., Rees, E., Palta, P., Ruderfer, D. M., et al. (2014) · Nature · doi:10.1038/nature12929 · Cited by 1,617
Self-citationGERAD1 Consortium, Pardiñas, A. F., CRESTAR Consortium, Holmans, P., Pocklington, A. J., Escott-Price, V., Ripke, S., Carrera, N., Legge, S. E., Bishop, S., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0059-2 · Cited by 1,552
Self-citationA step-by-step workflow for low-level analysis of single-cell RNA-seq data
Lun, A. T. L., McCarthy, D. J., & Marioni, J. C. (2016) · F1000Research · doi:10.12688/f1000research.9501.1 · Cited by 1,551
Multiple sclerosis genomic map implicates peripheral immune cells and microglia in susceptibility
International Multiple Sclerosis Genetics Consortium, Patsopoulos, N. A., Baranzini, S. E., Santaniello, A., Shoostari, P., Cotsapas, C., Wong, G., Beecham, A. H., James, T., Replogle, J., et al. (2019) · Science · doi:10.1126/science.aav7188 · Cited by 1,471
A survey of human brain transcriptome diversity at the single cell level
Darmanis, S., Sloan, S. A., Zhang, Y., Enge, M., Caneda, C., Shuer, L. M., Hayden Gephart, M. G., Barres, B. A., & Quake, S. R. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1507125112 · Cited by 1,401
A polygenic burden of rare disruptive mutations in schizophrenia
Purcell, S. M., Moran, J. L., Fromer, M., Ruderfer, D., Solovieff, N., Roussos, P., O’Dushlaine, C., Chambert, K., Bergen, S. E., Kähler, A., et al. (2014) · Nature · doi:10.1038/nature12975 · Cited by 1,385
Self-citationGenome-wide association study identifies 74 loci associated with educational attainment
Okbay, A., Beauchamp, J. P., Fontana, M. A., Lee, J. J., Pers, T. H., Rietveld, C. A., Turley, P., Chen, G.-B., Emilsson, V., Meddens, S. F. W., et al. (2016) · Nature · doi:10.1038/nature17671 · Cited by 1,297
Trait-associated SNPs are more likely to be eQTLs: annotation to enhance discovery from GWAS
Nicolae, D. L., Gamazon, E., Zhang, W., Duan, S., Dolan, M. E., & Cox, N. J. (2010) · PLoS Genetics · doi:10.1371/journal.pgen.1000888 · Cited by 1,292
MitoCarta2.0: an updated inventory of mammalian mitochondrial proteins
Calvo, S. E., Clauser, K. R., & Mootha, V. K. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkv1003 · Cited by 1,251
The evolution of gene expression levels in mammalian organs
Brawand, D., Soumillon, M., Necsulea, A., Julien, P., Csárdi, G., Harrigan, P., Weier, M., Liechti, A., Aximu-Petri, A., Kircher, M., et al. (2011) · Nature · doi:10.1038/nature10532 · Cited by 1,248
Genetic architectures of psychiatric disorders: the emerging picture and its implications
Sullivan, P. F., Daly, M. J., & O'Donovan, M. (2012) · Nature Reviews Genetics · doi:10.1038/nrg3240 · Cited by 1,177
Self-citationOligodendrocyte heterogeneity in the mouse juvenile and adult central nervous system
Marques, S., Zeisel, A., Codeluppi, S., van Bruggen, D., Mendanha Falcão, A., Xiao, L., Li, H., Häring, M., Hochgerner, H., Romanov, R. A., et al. (2016) · Science · doi:10.1126/science.aaf6463 · Cited by 1,132
Self-citationFinucane, H. K., Reshef, Y. A., Anttila, V., Slowikowski, K., Gusev, A., Byrnes, A., Gazal, S., Loh, P.-R., Lareau, C., Shoresh, N., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0081-4 · Cited by 1,097
Gene expression elucidates functional impact of polygenic risk for schizophrenia
Fromer, M., Roussos, P., Sieberts, S. K., Johnson, J. S., Kavanagh, D. H., Perumal, T. M., Ruderfer, D. M., Oh, E. C., Topol, A., Shah, H. R., et al. (2016) · Nature Neuroscience · doi:10.1038/nn.4399 · Cited by 1,091
Self-citationMassively parallel single-nucleus RNA-seq with DroNc-seq
Habib, N., Avraham-Davidi, I., Basu, A., Burks, T., Shekhar, K., Hofree, M., Choudhury, S. R., Aguet, F., Gelfand, E., Ardlie, K., et al. (2017) · Nature Methods · doi:10.1038/nmeth.4407 · Cited by 1,069
Contribution of copy number variants to schizophrenia from a genome-wide study of 41,321 subjects
Marshall, C. R., Howrigan, D. P., Merico, D., Thiruvahindrapuram, B., Wu, W., Greer, D. S., Antaki, D., Shetty, A., Holmans, P. A., Pinto, D., et al. (2017) · Nature Genetics · doi:10.1038/ng.3725 · Cited by 1,058
Self-citationNeuronal subtypes and diversity revealed by single-nucleus RNA sequencing of the human brain
Lake, B. B., Ai, R., Kaeser, G. E., Salathia, N. S., Yung, Y. C., Liu, R., Wildberg, A., Gao, D., Fung, H.-L., Chen, S., et al. (2016) · Science · doi:10.1126/science.aaf1204 · Cited by 957
Molecular diversity of midbrain development in mouse, human, and stem cells
La Manno, G., Gyllborg, D., Codeluppi, S., Nishimura, K., Salto, C., Zeisel, A., Borm, L. E., Stott, S. R. W., Toledo, E. M., Villaescusa, J. C., et al. (2016) · Cell · doi:10.1016/j.cell.2016.09.027 · Cited by 835
Self-citationPsychiatric genome-wide association study analyses implicate neuronal, immune and histone pathways
The Network and Pathway Analysis Subgroup of the Psychiatric Genomics Consortium (2015) · Nature Neuroscience · doi:10.1038/nn.3922 · Cited by 755
Self-citationCajigas, I. J., Tushev, G., Will, T. J., tom Dieck, S., Fuerst, N., & Schuman, E. M. (2012) · Neuron · doi:10.1016/j.neuron.2012.02.036 · Cited by 709
Div-Seq: Single-nucleus RNA-Seq reveals dynamics of rare adult newborn neurons
Habib, N., Li, Y., Heidenreich, M., Swiech, L., Avraham-Davidi, I., Trombetta, J. J., Hession, C., Zhang, F., & Regev, A. (2016) · Science · doi:10.1126/science.aad7038 · Cited by 601
Molecular interrogation of hypothalamic organization reveals distinct dopamine neuronal subtypes
Romanov, R. A., Zeisel, A., Bakker, J., Girach, F., Hellysaz, A., Tomer, R., Alpár, A., Mulder, J., Clotman, F., Keimpema, E., et al. (2017) · Nature Neuroscience · doi:10.1038/nn.4462 · Cited by 502
Self-citationCharacterization of the proteome, diseases and evolution of the human postsynaptic density
Bayés, À., van de Lagemaat, L. N., Collins, M. O., Croning, M. D. R., Whittle, I. R., Choudhary, J. S., & Grant, S. G. N. (2011) · Nature Neuroscience · doi:10.1038/nn.2719 · Cited by 499
Sniekers, S., Stringer, S., Watanabe, K., Jansen, P. R., Coleman, J. R. I., Krapohl, E., Taskesen, E., Hammerschlag, A. R., Okbay, A., Zabaneh, D., et al. (2017) · Nature Genetics · doi:10.1038/ng.3869 · Cited by 490
Self-citation400: A Method for Combining Non-Independent, One-Sided Tests of Significance
Brown, M. B. (1975) · Biometrics · doi:10.2307/2529826 · Cited by 473
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Shigeoka, T., Jung, H., Jung, J., Turner-Bridger, B., Ohk, J., Lin, J. Q., Amieux, P. S., & Holt, C. E. (2016) · Cell · doi:10.1016/j.cell.2016.05.029 · Cited by 462
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Kryuchkova-Mostacci, N., & Robinson‐Rechavi, M. (2016) · Briefings in Bioinformatics · doi:10.1093/bib/bbw008 · Cited by 457
Study, S. S., Singh, T., Study, I., Study, D., UK10 K Consortium, Kurki, M. I., Curtis, D., Purcell, S. M., Crooks, L., McRae, J., et al. (2016) · Nature Neuroscience · doi:10.1038/nn.4267 · Cited by 452
Self-citationAkbarian, S., Liu, C., Knowles, J. A., Vaccarino, F. M., Farnham, P. J., Crawford, G. E., Jaffe, A. E., Pinto, D., Dracheva, S., Geschwind, D. H., et al. (2015) · Nature Neuroscience · doi:10.1038/nn.4156 · Cited by 451
Self-citationCollins, M. O., Husi, H., Yu, L., Brandon, J. M., Anderson, C. N. G., Blackstock, W. P., Choudhary, J. S., & Grant, S. G. N. (2005) · Journal of Neurochemistry · doi:10.1111/j.1471-4159.2005.03507.x · Cited by 448
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Genovese, G., Fromer, M., Stahl, E. A., Ruderfer, D. M., Chambert, K., Landén, M., Moran, J. L., Purcell, S. M., Sklar, P., Sullivan, P. F., et al. (2016) · Nature Neuroscience · doi:10.1038/nn.4402 · Cited by 444
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Gokce, O., Stanley, G. M., Treutlein, B., Neff, N. F., Camp, J. G., Malenka, R. C., Rothwell, P. E., Fuccillo, M. V., Südhof, T. C., & Quake, S. R. (2016) · Cell Reports · doi:10.1016/j.celrep.2016.06.059 · Cited by 430
Zeng, H., Shen, E. H., Hohmann, J. G., Oh, S. W., Bernard, A., Royall, J. J., Glattfelder, K. J., Sunkin, S. M., Morris, J. A., Guillozet-Bongaarts, A. L., et al. (2012) · Cell · doi:10.1016/j.cell.2012.02.052 · Cited by 426
Self-citationPhenolyzer: phenotype-based prioritization of candidate genes for human diseases
Yang, H., Robinson, P. N., & Wang, K. (2015) · Nature Methods · doi:10.1038/nmeth.3484 · Cited by 402
Skene, N., & Grant, S. G. N. (2016) · Frontiers in Neuroscience · doi:10.3389/fnins.2016.00016 · Cited by 345
Self-citationWeyn-Vanhentenryck, S. M., Mele, A., Yan, Q., Sun, S., Farny, N., Zhang, Z., Xue, C., Herre, M., Silver, P. A., Zhang, M. Q., et al. (2014) · Cell Reports · doi:10.1016/j.celrep.2014.02.005 · Cited by 333
Sniekers, S., Stringer, S., Watanabe, K., Jansen, P. R., Coleman, J. R. I., Krapohl, E. M. L., Taskesen, E., Hammerschlag, A. R., Okbay, A., Zabaneh, D., et al. (2017) · Nature Genetics · doi:10.1038/ng1017-1558c · Cited by 333
Self-citationThe statistical properties of gene-set analysis
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Fernández, E., Collins, M. O., Uren, R. T., Kopanitsa, M. V., Komiyama, N. H., Croning, M. D. R., Zografos, L., Armstrong, J. D., Choudhary, J. S., & Grant, S. G. N. (2009) · Molecular Systems Biology · doi:10.1038/msb.2009.27 · Cited by 270
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Self-citationBoyken, J., Grønborg, M., Riedel, D., Urlaub, H., Jahn, R., & Chua, J. J. E. (2013) · Neuron · doi:10.1016/j.neuron.2013.02.027 · Cited by 158
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Vu, T. N., Wills, Q. F., Kalari, K. R., Niu, N., Wang, L., Rantalainen, M., & Pawitan, Y. (2016) · Bioinformatics · doi:10.1093/bioinformatics/btw202 · Cited by 157
Wagnon, J. L., Briese, M., Sun, W., Mahaffey, C. L., Curk, T., Rot, G., Ule, J., & Frankel, W. N. (2012) · PLoS Genetics · doi:10.1371/journal.pgen.1003067 · Cited by 125
Patsopoulos, N., Baranzini, S. E., Santaniello, A., et al. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/143933 · Cited by 119
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Self-citationGaspar, H. A., & Breen, G. (2017) · Scientific Reports · doi:10.1038/s41598-017-12325-3 · Cited by 67
Self-citationPers, T. H., Timshel, P. N., Ripke, S., Sullivan, P. F., O’Donovan, M. C., Franke, L., & Hirschhorn, J. N. (2016) · Human Molecular Genetics · doi:10.1093/hmg/ddw007 · Cited by 60
Self-citationAbdelmoez, M. N., Iida, K., Oguchi, Y., Nishikii, H., Yokokawa, R., Kotera, H., Uemura, S., Santiago, J. G., & Shintaku, H. (2018) · Genome biology · doi:10.1186/s13059-018-1446-9 · Cited by 58
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Bellenguez, C., Küçükali, F., Jansen, I. E., Kleineidam, L., Moreno-Grau, S., Amin, N., Naj, A. C., Campos-Martin, R., Grenier-Boley, B., Andrade, V., et al. (2022) · Nature Genetics · doi:10.1038/s41588-022-01024-z · Cited by 2,498
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Self-citation
Metadata
- Authors
- Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Skene, N. G., Bryois, J., Bakken, T. E., Breen, G., Crowley, J. J., Gaspar, H. A., Giusti-Rodriguez, P., Hodge, R. D., Miller, J. A., Muñoz-Manchado, A. B., O’Donovan, M. C., Owen, M. J., Pardiñas, A. F., Ryge, J., Walters, J. T. R., Linnarsson, S., Lein, E. S., Sullivan, P. F., & Hjerling-Leffler, J.
- Affiliations
- Karolinska Institutet (SE)
- Allen Institute for Brain Science (US)
- National Health Service (GB)
- University of North Carolina at Chapel Hill (US)
- Cardiff University (GB)
- École Polytechnique Fédérale de Lausanne (CH)
- Corresponding author
- Sullivan, Patrick F.
- ORCID
- Skene, Nathan G.
- Bryois, Julien
- Bakken, Trygve E.
- Breen, Gerome
- Crowley, James J.
- Gaspar, Héléna A.
- Giusti-Rodriguez, Paola
- Hodge, Rebecca D.
- Miller, Jeremy A.
- O’Donovan, Michael C.
- Owen, Michael J.
- Pardiñas, Antonio F.
- Ryge, Jesper
- Walters, James T. R.
- Linnarsson, Sten
- Lein, Ed S.
- Sullivan, Patrick F.
- Hjerling-Leffler, Jens
- Venue
- Nature Genetics
- Published
- 2018-05-21
- Volume
- 50
- Issue
- 6
- Pages
- 825-833
- ISSN
- 1061-4036 (ISSN-L)
- 1546-1718
- PMC
- PMC6477180
- OpenAlex
- W2952673268
- Cited by
- 651
- References
- 68
- Citations by year
- 2026: 65 · 2025: 78 · 2024: 75 · 2023: 70 · 2022: 93 · 2021: 74 · 2020: 88 · 2019: 68 · 2018: 36
- FWCI
- 52.16
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Licence
- cc-by-nc-nd
- www.springer.com/tdm (tdm)
- Locations
- Nature Genetics (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- ORCA Online Research @Cardiff (Cardiff University) (acceptedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Carolina Digital Repository (University of North Carolina at Chapel Hill) (submittedVersion)
- ORCA Online Research @Cardiff (Cardiff University) (submittedVersion)
- Infoscience (Ecole Polytechnique Fédérale de Lausanne) (submittedVersion, cc-by-nc-nd)
- RODIN (Universidad de Cádiz) (submittedVersion, cc-by-nc-nd)
- Spiral (Imperial College London) (submittedVersion)
- UNC Libraries
- Funders
- National Science Foundation
- Wellcome Trust (108726, /Z/15/Z, 108726/Z/15/Z)
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
- Hjärnfonden
- Vetenskapsrådet (U01-MH-109528, 2014-03863, D0886501)
- Medical Research Council (MR/L011794/1, MR/P005748/1, MR/L010305/1)
- National Institute of Mental Health (U01MH109514, U01MH109528, U01MH109536, MH109532, MH109528, U01MH109532)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Schizophrenia research and treatment
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
- Keywords
- schizophrenia, brain cell types, single-cell RNA sequencing, genome-wide association study, common genetic variants, medium spiny neurons, interneurons, FMRP, synaptic function, genetic risk
- MeSH terms
- Animals, Brain, Humans, Neurons, Schizophrenia, Genetic Predisposition to Disease, Genomics, Mice, Genome-Wide Association Study
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