Shared molecular neuropathology across major psychiatric disorders parallels polygenic overlap

limma powers differential expression analyses for RNA-sequencing and microarray studies

Ritchie, M. E., Phipson, B., Wu, D., Hu, Y., Law, C. W., Shi, W., & Smyth, G. K. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv007 · Cited by 40,458 · see citing works

WGCNA: an R package for weighted correlation network analysis

Langfelder, P., & Horvath, S. (2008) · BMC Bioinformatics · doi:10.1186/1471-2105-9-559 · Cited by 27,252 · see citing works

Conducting Meta-Analyses in <i>R</i> with the <b>metafor</b> Package

Viechtbauer, W. (2010) · Journal of Statistical Software · doi:10.18637/jss.v036.i03 · Cited by 20,464 · see citing works

Second-generation PLINK: rising to the challenge of larger and richer datasets

Chang, C. C., Chow, C. C., Tellier, L. C., Vattikuti, S., Purcell, S. M., & Lee, J. J. (2015) · Gigascience · doi:10.1186/s13742-015-0047-8 · Cited by 12,709 · see citing works

Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments

Smyth, G. K. (2004) · Statistical Applications in Genetics and Molecular Biology · doi:10.2202/1544-6115.1027 · Cited by 11,829 · see citing works

Adjusting batch effects in microarray expression data using empirical Bayes methods

Johnson, W. E., Li, C., & Rabinovic, A. (2007) · Biostatistics · doi:10.1093/biostatistics/kxj037 · Cited by 8,658 · see citing works

Finding the missing heritability of complex diseases

Manolio, T. A., Collins, F. S., Cox, N. J., Goldstein, D. B., Hindorff, L. A., Hunter, D. J., McCarthy, M. I., Ramos, E. M., Cardon, L. R., Chakravarti, A., et al. (2009) · Nature · doi:10.1038/nature08494 · Cited by 8,336 · see citing works

Biological 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 · see citing works

A General Framework for Weighted Gene Co-Expression Network Analysis

Zhang, B., & Horvath, S. (2005) · Statistical Applications in Genetics and Molecular Biology · doi:10.2202/1544-6115.1128 · Cited by 5,684 · see citing works

LD Score regression distinguishes confounding from polygenicity in genome-wide association studies

Schizophrenia Working Group of the Psychiatric Genomics Consortium, Bulik-Sullivan, B. K., Loh, P.-R., Finucane, H. K., Ripke, S., Yang, J., Patterson, N., Daly, M. J., Price, A. L., & Neale, B. M. (2015) · Nature Genetics · doi:10.1038/ng.3211 · Cited by 5,559 · see citing works

Population Structure and Eigenanalysis

Patterson, N., Price, A. L., & Reich, D. (2006) · PLoS Genetics · doi:10.1371/journal.pgen.0020190 · Cited by 5,280 · see citing works

The Connectivity Map: Using Gene-Expression Signatures to Connect Small Molecules, Genes, and Disease

Lamb, J., Crawford, E. D., Peck, D., Modell, J. W., Blat, I. C., Wrobel, M. J., Lerner, J., Brunet, J.-P., Subramanian, A., Ross, K. N., et al. (2006) · Science · doi:10.1126/science.1132939 · Cited by 5,257 · see citing works

affy—analysis of Affymetrix GeneChip data at the probe level

Gautier, L., Cope, L., Bolstad, B. M., & Irizarry, R. A. (2004) · Bioinformatics · doi:10.1093/bioinformatics/btg405 · Cited by 5,221 · see citing works

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 · see citing works

Mapping identifiers for the integration of genomic datasets with the R/Bioconductor package biomaRt

Durinck, S., Spellman, P. T., Birney, E., & Huber, W. K. (2009) · Nature Protocols · doi:10.1038/nprot.2009.97 · Cited by 4,081 · see citing works

A Flexible and Accurate Genotype Imputation Method for the Next Generation of Genome-Wide Association Studies

Howie, B. N., Donnelly, P., & Marchini, J. (2009) · PLoS Genetics · doi:10.1371/journal.pgen.1000529 · Cited by 3,928 · see citing works

MAGMA: 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 · see citing works

Robust relationship inference in genome-wide association studies

Manichaikul, A., Mychaleckyj, J. C., Rich, S. S., Daly, K., Sale, M., & Chen, W.-M. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq559 · Cited by 3,541 · see citing works

Identification of risk loci with shared effects on five major psychiatric disorders: a genome-wide analysis

(2013) · The Lancet · doi:10.1016/s0140-6736(12)62129-1 · Cited by 3,010 · see citing works

Synaptic, transcriptional and chromatin genes disrupted in autism

Study, T. D., De Rubeis, S., Autism, H. M. C. F., UK10K Consortium, The Autism Sequencing Consortium, He, X., Goldberg, A. P., Poultney, C. S., Samocha, K., Ercument Cicek, A., et al. (2014) · Nature · doi:10.1038/nature13772 · Cited by 2,746 · see citing works

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 · see citing works

Association analyses identify 38 susceptibility loci for inflammatory bowel disease and highlight shared genetic risk across populations

Liu, J. Z., van Sommeren, S., Huang, H., Ng, S. C., Alberts, R., Takahashi, A., Ripke, S., Lee, J. C., Jostins, L., Shah, T., et al. (2015) · Nature Genetics · doi:10.1038/ng.3359 · Cited by 2,603 · see citing works

The contribution of de novo coding mutations to autism spectrum disorder

Iossifov, I., O’Roak, B. J., Sanders, S. J., Ronemus, M., Krumm, N., Levy, D., Stessman, H. A., Witherspoon, K. T., Vives, L., Patterson, K. E., et al. (2014) · Nature · doi:10.1038/nature13908 · Cited by 2,585 · see citing works

Meta-analysis of the heritability of human traits based on fifty years of twin studies

Polderman, T. J. C., Benyamin, B., de Leeuw, C. A., Sullivan, P. F., van Bochoven, A., Visscher, P. M., & Posthuma, D. (2015) · Nature Genetics · doi:10.1038/ng.3285 · Cited by 2,467 · see citing works

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 · see citing works

Purification and Characterization of Progenitor and Mature Human Astrocytes Reveals Transcriptional and Functional Differences with Mouse

Zhang, Y., Sloan, S. A., Clarke, L. E., Caneda, C., Plaza, C. A., Blumenthal, P. D., Vogel, H., Steinberg, G. K., Edwards, M. S. B., Li, G., et al. (2016) · Neuron · doi:10.1016/j.neuron.2015.11.013 · Cited by 2,295 · see citing works

Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs

Cross-Disorder Group of the Psychiatric Genomics Consortium (2013) · Nature Genetics · doi:10.1038/ng.2711 · Cited by 2,263 · see citing works

Sporadic autism exomes reveal a highly interconnected protein network of de novo mutations

O’Roak, B. J., Vives, L., Girirajan, S., Karakoc, E., Krumm, N., Coe, B. P., Levy, R., Ko, A., Lee, C., Smith, J. D., et al. (2012) · Nature · doi:10.1038/nature10989 · Cited by 2,165 · see citing works

De novo mutations revealed by whole-exome sequencing are strongly associated with autism

Sanders, S. J., Murtha, M. T., Gupta, A. R., Murdoch, J. D., Raubeson, M. J., Willsey, A. J., Ercan-Sencicek, A. G., DiLullo, N. M., Parikshak, N. N., Stein, J. L., et al. (2012) · Nature · doi:10.1038/nature10945 · Cited by 2,084 · see citing works

lumi : a pipeline for processing Illumina microarray

Du, P., Kibbe, W. A., & Lin, S. M. (2008) · Bioinformatics · doi:10.1093/bioinformatics/btn224 · Cited by 2,028 · see citing works

Defining clusters from a hierarchical cluster tree: the Dynamic Tree Cut package for R

Langfelder, P., Zhang, B., & Horvath, S. (2008) · Bioinformatics · doi:10.1093/bioinformatics/btm563 · Cited by 1,892 · see citing works

Transcriptomic Analysis of Autistic Brain Reveals Convergent Molecular Pathology

Voineagu, I., Wang, X., Johnston, P., Lowe, J. K., Tian, Y., Horvath, S., Mill, J., Cantor, R. M., Blencowe, B. J., & Geschwind, D. H. (2011) · Nature · doi:10.1038/nature10110 · Cited by 1,874 · see citing works

Structural Variation of Chromosomes in Autism Spectrum Disorder

Marshall, C. R., Noor, A., Vincent, J. B., Lionel, A. C., Feuk, L., Skaug, J., Shago, M., Moessner, R., Pinto, D., Ren, Y., et al. (2008) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2007.12.009 · Cited by 1,815 · see citing works

Microglia emerge as central players in brain disease

Salter, M. W., & Stevens, B. (2017) · Nature Medicine · doi:10.1038/nm.4397 · Cited by 1,767 · see citing works

Large recurrent microdeletions associated with schizophrenia.

GROUP, Stefansson, H., Rujescu, D., Cichon, S., Pietiläinen, O. P. H., Ingason, A., Steinberg, S., Fossdal, R., Sigurdsson, E., Sigmundsson, T., et al. (2008) · Nature · doi:10.1038/nature07229 · Cited by 1,745 · see citing works

Patterns and rates of exonic de novo mutations in autism spectrum disorders

Neale, B. M., Kou, Y., Liu, L., Ma’ayan, A., Samocha, K. E., Sabo, A., Lin, C.-F., Stevens, C., Wang, L.-S., Makarov, V., et al. (2012) · Nature · doi:10.1038/nature11011 · Cited by 1,734 · see citing works

Association between Microdeletion and Microduplication at 16p11.2 and Autism

Weiss, L. A., Shen, Y., Korn, J. M., Arking, D. E., Miller, D. T., Fossdal, R., Saemundsen, E., Stefansson, H., Ferreira, M. A. R., Green, T., et al. (2008) · New England Journal of Medicine · doi:10.1056/nejmoa075974 · Cited by 1,666 · see citing works

Integrated Systems Approach Identifies Genetic Nodes and Networks in Late-Onset Alzheimer’s Disease

Zhang, B., Gaiteri, C., Bodea, L.-G., Wang, Z., McElwee, J., Podtelezhnikov, A. A., Zhang, C., Xie, T., Tran, L., Dobrin, R., et al. (2013) · Cell · doi:10.1016/j.cell.2013.03.030 · Cited by 1,657 · see citing works

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 · see citing works

Diagnostic exome sequencing in persons with severe intellectual disability

de Ligt, J., Willemsen, M. H., van Bon, B. W. M., Kleefstra, T., Yntema, H. G., Kroes, T., Vulto-van Silfhout, A. T., Koolen, D. A., de Vries, P., Gilissen, C., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1206524 · Cited by 1,546 · see citing works

Rare chromosomal deletions and duplications increase risk of schizophrenia

The International Schizophrenia Consortium (2008) · Nature · doi:10.1038/nature07239 · Cited by 1,475 · see citing works

De Novo Gene Disruptions in Children on the Autistic Spectrum

Iossifov, I., Ronemus, M., Levy, D., Wang, Z., Hakker, I., Rosenbaum, J., Yamrom, B., Lee, Y.-H., Narzisi, G., Leotta, A., et al. (2012) · Neuron · doi:10.1016/j.neuron.2012.04.009 · Cited by 1,446 · see citing works

Insights into autism spectrum disorder genomic architecture and biology from 71 risk loci

Sanders, S. J., He, X., Willsey, A. J., Ercan-Sencicek, A. G., Samocha, K. E., Cicek, A. E., Murtha, M. T., Bal, V. H., Bishop, S. L., Dong, S., et al. (2015) · Neuron · doi:10.1016/j.neuron.2015.09.016 · Cited by 1,430 · see citing works

Autism genome-wide copy number variation reveals ubiquitin and neuronal genes

Glessner, J. T., Wang, K., Cai, G., Korvatska, O., Kim, C. E., Wood, S., Zhang, H., Estes, A., Brune, C. W., Bradfield, J. P., et al. (2009) · Nature · doi:10.1038/nature07953 · Cited by 1,421 · see citing works

Large-scale genome-wide association analysis of bipolar disorder identifies a new susceptibility locus near ODZ4

Psychiatric GWAS Consortium Bipolar Disorder Working Group, Sklar, P., Ripke, S., Scott, L. J., Andreassen, O. A., Cichon, S., Craddock, N., Edenberg, H. J., Nurnberger, J. I., Rietschel, M., et al. (2011) · Nature Genetics · doi:10.1038/ng.943 · Cited by 1,344 · see citing works

Genome-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 · see citing works

Multiple recurrent de novo CNVs, including duplications of the 7q11.23 Williams syndrome region, are strongly associated with autism

Sanders, S. J., Ercan-Sencicek, A. G., Hus, V., Luo, R., Murtha, M. T., Moreno-De-Luca, D., Chu, S. H., Moreau, M. P., Gupta, A. R., Thomson, S. A., et al. (2011) · Neuron · doi:10.1016/j.neuron.2011.05.002 · Cited by 1,263 · see citing works

Most genetic risk for autism resides with common variation

Gaugler, T., Klei, L., Sanders, S. J., Bodea, C. A., Goldberg, A. P., Lee, A. B., Mahajan, M., Manaa, D., Pawitan, Y., Reichert, J., et al. (2014) · Nature Genetics · doi:10.1038/ng.3039 · Cited by 1,239 · see citing works

The global burden of mental, neurological and substance use disorders: An analysis from the Global Burden of Disease Study 2010.

Whiteford, H. A., Ferrari, A. J., Degenhardt, L., Feigin, V., & Vos, T. (2015) · PLOS ONE · doi:10.1371/journal.pone.0116820 · Cited by 1,175 · see citing works

A mega-analysis of genome-wide association studies for major depressive disorder

Major Depressive Disorder Working Group of the Psychiatric GWAS Consortium, Ripke, S., Wray, N. R., Lewis, C. M., Hamilton, S. P., Weissman, M. M., Breen, G., Byrne, E. M., Blackwood, D. H. R., Boomsma, D. I., et al. (2013) · Molecular Psychiatry · doi:10.1038/mp.2012.21 · Cited by 1,120 · see citing works

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 · see citing works

Range of genetic mutations associated with severe non-syndromic sporadic intellectual disability: an exome sequencing study

Rauch, A., Wieczorek, D., Graf, E., Wieland, T., Endele, S., Schwarzmayr, T., Albrecht, B., Bartholdi, D., Beygo, J., Di Donato, N., et al. (2012) · The Lancet · doi:10.1016/s0140-6736(12)61480-9 · Cited by 1,041 · see citing works

Integrative functional genomic analyses implicate specific molecular pathways and circuits in autism

Parikshak, N. N., Luo, R., Zhang, A., Won, H., Lowe, J. K., Chandran, V., Horvath, S., & Geschwind, D. H. (2013) · Cell · doi:10.1016/j.cell.2013.10.031 · Cited by 1,039 · see citing works

Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses

Study, L. C., Okbay, A., Baselmans, B. M. L., De Neve, J.-E., Turley, P., Nivard, M. G., Fontana, M. A., Meddens, S. F. W., Linnér, R. K., Rietveld, C. A., et al. (2016) · Nature Genetics · doi:10.1038/ng.3552 · Cited by 1,013 · see citing works

Genotype Imputation with Thousands of Genomes

Howie, B., Marchini, J., & Stephens, M. (2011) · G3 Genes|Genomes|Genetics · doi:10.1534/g3.111.001198 · Cited by 966 · see citing works

Sparse whole-genome sequencing identifies two loci for major depressive disorder

CONVERGE consortium, Cai, N., Bigdeli, T. B., Kretzschmar, W., Li, Y., Liang, J., Song, L., Hu, J., Li, Q., Jin, W., et al. (2015) · Nature · doi:10.1038/nature14659 · Cited by 864 · see citing works

CNVs: Harbingers of a Rare Variant Revolution in Psychiatric Genetics

Malhotra, D., & Sebat, J. (2012) · Cell · doi:10.1016/j.cell.2012.02.039 · Cited by 854 · see citing works

Elevated immune response in the brain of autistic patients

Li, X., Chauhan, A., Sheikh, A. M., Patil, S., Chauhan, V., Li, X.-M., Ji, L., Brown, T., & Malik, M. (2009) · Journal of Neuroimmunology · doi:10.1016/j.jneuroim.2008.12.002 · Cited by 786 · see citing works

Psychiatric 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 · see citing works

Functional organization of the transcriptome in human brain

Oldham, M. C., Konopka, G., Iwamoto, K., Langfelder, P., Kato, T., Horvath, S., & Geschwind, D. H. (2008) · Nature Neuroscience · doi:10.1038/nn.2207 · Cited by 752 · see citing works

Microduplications of 16p11.2 are associated with schizophrenia

Wellcome Trust Case Control Consortium, McCarthy, S. E., Makarov, V., Kirov, G., Addington, A. M., McClellan, J., Yoon, S., Perkins, D. O., Dickel, D. E., Kusenda, M., et al. (2009) · Nature Genetics · doi:10.1038/ng.474 · Cited by 711 · see citing works

The Danish Psychiatric Central Register.

Munk‐Jørgensen, P., & Mortensen, P. B. (1997) · PubMed · Cited by 703 · see citing works

CNVs conferring risk of autism or schizophrenia affect cognition in controls

Stefansson, H., Meyer-Lindenberg, A., Steinberg, S., Magnusdottir, B., Morgen, K., Arnarsdottir, S., Bjornsdottir, G., Walters, G. B., Jonsdottir, G. A., Doyle, O. M., et al. (2014) · Nature · doi:10.1038/nature12818 · Cited by 699 · see citing works

The organization of the stress system and its dysregulation in depressive illness

Gold, P. W. (2015) · Molecular Psychiatry · doi:10.1038/mp.2014.163 · Cited by 654 · see citing works

Association Between Microdeletion and Microduplication at 16p11.2 and Autism

Weiss, L. A., Shen, Y., Korn, J. M., Arking, D. E., Miller, D. T., Fossdal, R., Sæmundsen, E., Stefánsson, H., Ferreira, M. A. R., Green, T. J., et al. (2008) · Obstetrical & Gynecological Survey · doi:10.1097/01.ogx.0000316305.61461.6f · Cited by 647 · see citing works

A Comprehensive Nationwide Study of the Incidence Rate and Lifetime Risk for Treated Mental Disorders

Pedersen, C. B., Mors, O. N., Bertelsen, A., Waltoft, B. L., Agerbo, E., McGrath, J. J., Mortensen, P. B., & Eaton, W. W. (2014) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2014.16 · Cited by 623 · see citing works

Removing technical variability in RNA-seq data using conditional quantile normalization

Hansen, K. D., Irizarry, R. A., & WU, Z. (2012) · Biostatistics · doi:10.1093/biostatistics/kxr054 · Cited by 607 · see citing works

Meta-analysis of GWAS of over 16,000 individuals with autism spectrum disorder highlights a novel locus at 10q24.32 and a significant overlap with schizophrenia

The Autism Spectrum Disorders Working Group of The Psychiatric Genomics Consortium (2017) · Molecular Autism · doi:10.1186/s13229-017-0137-9 · Cited by 587 · see citing works

The “quad‐partite” synapse: Microglia‐synapse interactions in the developing and mature CNS

Schafer, D. P., Lehrman, E. K., & Stevens, B. (2013) · Glia · doi:10.1002/glia.22389 · Cited by 570 · see citing works

Spatial and Temporal Mapping of De Novo Mutations in Schizophrenia to a Fetal Prefrontal Cortical Network

Gulsuner, S., Walsh, T., Watts, A. C., Lee, M. K., Thornton, A. M., Casadei, S., Rippey, C., Shahin, H., Braff, D., Cadenhead, K. S., et al. (2013) · Cell · doi:10.1016/j.cell.2013.06.049 · Cited by 536 · see citing works

Sublime Microglia: Expanding Roles for the Guardians of the CNS

Salter, M. W., & Beggs, S. (2014) · Cell · doi:10.1016/j.cell.2014.06.008 · Cited by 531 · see citing works

Immune mediators in the brain and peripheral tissues in autism spectrum disorder

Estes, M. L., & McAllister, A. K. (2015) · Nature Reviews Neuroscience · doi:10.1038/nrn3978 · Cited by 514 · see citing works

g:Profiler—a web server for functional interpretation of gene lists (2011 update)

Reimand, J., Arak, T., & Vilo, J. (2011) · Nucleic Acids Research · doi:10.1093/nar/gkr378 · Cited by 504 · see citing works

Transcriptome analysis reveals dysregulation of innate immune response genes and neuronal activity-dependent genes in autism

Gupta, S., Ellis, S. E., Ashar, F. N., Moes, A., Bader, J. S., Zhan, J., West, A. B., & Arking, D. E. (2014) · Nature Communications · doi:10.1038/ncomms6748 · Cited by 504 · see citing works

Altered expression of mitochondria-related genes in postmortem brains of patients with bipolar disorder or schizophrenia, as revealed by large-scale DNA microarray analysis

Iwamoto, K., Bundo, M., & Kato, T. (2004) · Human Molecular Genetics · doi:10.1093/hmg/ddi022 · Cited by 496 · see citing works

Impaired mitochondrial function in psychiatric disorders

Manji, H. K., Kato, T., Prospero, N. A. D., Ness, S. L., Beal, M. F., Krams, M., & Chen, G. (2012) · Nature reviews. Neuroscience · doi:10.1038/nrn3229 · Cited by 478 · see citing works

Disruption of the neurexin 1 gene is associated with schizophrenia

Rujescu, D., Ingason, A., Cichon, S., Pietiläinen, O. P. H., Barnes, M. R., Toulopoulou, T., Picchioni, M., Vassos, E., Ettinger, U., Bramon, E., et al. (2009) · Human Molecular Genetics · doi:10.1093/hmg/ddn351 · Cited by 471 · see citing works

The PsychENCODE project

Akbarian, 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 · see citing works

De novo gene mutations highlight patterns of genetic and neural complexity in schizophrenia

Xu, B., Ionita-Laza, I., Roos, J. L., Boone, B., Woodrick, S., Sun, Y., Levy, S., Gogos, J. A., & Karayiorgou, M. (2012) · Nature Genetics · doi:10.1038/ng.2446 · Cited by 442 · see citing works

Increased exonic de novo mutation rate in individuals with schizophrenia

Girard, S. L., Gauthier, J., Noreau, A., Xiong, L., Zhou, S., Jouan, L., Dionne-Laporte, A., Spiegelman, D., Henrion, E., Diallo, O., et al. (2011) · Nature Genetics · doi:10.1038/ng.886 · Cited by 438 · see citing works

Copy number variants in schizophrenia: confirmation of five previous findings and new evidence for 3q29 microdeletions and VIPR2 duplications

Levinson, D. F., Duan, J., Oh, S., Wang, K., Sanders, A. R., Shi, J., Zhang, N., Mowry, B. J., Olincy, A., Amin, F., et al. (2011) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2010.10060876 · Cited by 434 · see citing works

Systems biology and gene networks in neurodevelopmental and neurodegenerative disorders

Parikshak, N. N., Gandal, M. J., & Geschwind, D. H. (2015) · Nature Reviews Genetics · doi:10.1038/nrg3934 · Cited by 430 · see citing works

Genetics and genomics of psychiatric disease

Geschwind, D. H., & Flint, J. (2015) · Science · doi:10.1126/science.aaa8954 · Cited by 424 · see citing works

Gene Coexpression Networks in Human Brain Identify Epigenetic Modifications in Alcohol Dependence

Ponomarev, I., Wang, S., Zhang, L., Harris, R. A., & Mayfield, R. D. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.3136-11.2012 · Cited by 377 · see citing works

Immune transcriptome alterations in the temporal cortex of subjects with autism

Garbett, K., Ebert, P. J., Mitchell, A., Lintas, C., Manzi, B., Mirnics, K., & Persico, A. M. (2008) · Neurobiology of Disease · doi:10.1016/j.nbd.2008.01.012 · Cited by 375 · see citing works

Polygenic dissection of diagnosis and clinical dimensions of bipolar disorder and schizophrenia

Ruderfer, D. M., Fanous, A. H., Ripke, S., McQuillin, A., Amdur, R. L., Schizophrenia Working Group of the Psychiatric Genomics Consortium, Bipolar Disorder Working Group of the Psychiatric Genomics Consortium, Cross-Disorder Working Group of the Psychiatric Genomics Consortium, Gejman, P. V., O'Donovan, M. C., et al. (2014) · Molecular Psychiatry · doi:10.1038/mp.2013.138 · Cited by 364 · see citing works

Large-scale genomics unveils the genetic architecture of psychiatric disorders

Gratten, J., Wray, N. R., Keller, M. C., & Visscher, P. M. (2014) · Nature Neuroscience · doi:10.1038/nn.3708 · Cited by 363 · see citing works

Reactive Astrocytes Overexpress TSPO and Are Detected by TSPO Positron Emission Tomography Imaging

Lavisse, S., Guillermier, M., Hérard, A., Petit, F., Delahaye, M., Camp, N. V., Haim, L. B., Lebon, V., Rémy, P., Dollé, F., et al. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.1487-12.2012 · Cited by 362 · see citing works

Analytical approaches to RNA profiling data for the identification of genes enriched in specific cells

Dougherty, J. D., Schmidt, E. F., Nakajima, M., & Heintz, N. (2010) · Nucleic Acids Research · doi:10.1093/nar/gkq130 · Cited by 344 · see citing works

The iPSYCH2012 case-cohort sample: new directions for unravelling genetic and environmental architectures of severe mental disorders

Pedersen, C. B., Bybjerg-Grauholm, J., Pedersen, M. G., Grove, J., Agerbo, E., Bækvad-Hansen, M., Poulsen, J. B., Hansen, C. S., McGrath, J. J., Als, T. D., et al. (2018) · Molecular Psychiatry · doi:10.1038/mp.2017.196 · Cited by 338 · see citing works

Duplications of the neuropeptide receptor gene VIPR2 confer significant risk for schizophrenia

Vacic, V., McCarthy, S., Malhotra, D., Murray, F., Chou, H.-H., Peoples, A., Makarov, V., Yoon, S., Bhandari, A., Corominas, R., et al. (2011) · Nature · doi:10.1038/nature09884 · Cited by 337 · see citing works

Recurrent de novo mutations implicate novel genes underlying simplex autism risk

O'Roak, B. J., Stessman, H. A., Boyle, E. A., Witherspoon, K. T., Martin, B., Lee, C., Vives, L., Baker, C., Hiatt, J. B., Nickerson, D. A., et al. (2014) · Nature Communications · doi:10.1038/ncomms6595 · Cited by 336 · see citing works

Deletion 17q12 is a recurrent copy number variant that confers high risk of autism and schizophrenia

Moreno-De-Luca, D., Mulle, J. G., Kaminsky, E. B., Sanders, S. J., Myers, S. M., Adam, M. P., Pakula, A. T., Eisenhauer, N. J., Uhas, K., Weik, L., et al. (2010) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2010.10.004 · Cited by 324 · see citing works

Strategies for aggregating gene expression data: The collapseRows R function

Miller, J. A., Cai, C., Langfelder, P., Geschwind, D. H., Kurian, S. M., Salomon, D. R., & Horvath, S. (2011) · BMC Bioinformatics · doi:10.1186/1471-2105-12-322 · Cited by 300 · see citing works

Extracellular Matrix-Glial Abnormalities in the Amygdala and Entorhinal Cortex of Subjects Diagnosed With Schizophrenia

Pantazopoulos, H., Woo, T.-U. W., Lim, M. P., Lange, N., & Berretta, S. (2010) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2009.196 · Cited by 296 · see citing works

Refinement and Discovery of New Hotspots of Copy-Number Variation Associated with Autism Spectrum Disorder

Girirajan, S., Dennis, M. Y., Baker, C. A., Malig, M., Coe, B. P., Campbell, C. D., Mark, K. M. K., Vu, T. H., Alkan, C., Cheng, Z., et al. (2013) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2012.12.016 · Cited by 292 · see citing works

Genes and pathways underlying regional and cell type changes in Alzheimer’s disease

Miller, J. A., Woltjer, R. L., Goodenbour, J. M., Horvath, S., & Geschwind, D. H. (2013) · Genome Medicine · doi:10.1186/gm452 · Cited by 275 · see citing works

Cell Type-Specific Expression Analysis to Identify Putative Cellular Mechanisms for Neurogenetic Disorders

Xu, X., Wells, A., O’Brien, D. R., Nehorai, A., & Dougherty, J. D. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.4488-13.2014 · Cited by 271 · see citing works

Genome-wide association and genetic functional studies identify <i>autism susceptibility candidate 2</i> gene ( <i>AUTS2</i> ) in the regulation of alcohol consumption

Schumann, G., Coin, L. J., Lourdusamy, A., Charoen, P., Berger, K. H., Stacey, D., Desrivières, S., Aliev, F. A., Khan, A. A., Amin, N., et al. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1017288108 · Cited by 264 · see citing works

GO-Elite: a flexible solution for pathway and ontology over-representation

Zambon, A. C., Gaj, S., Ho, I., Hanspers, K., VRANIZAN, K. M., Evelo, C. T., Conklin, B. R., Pico, A. R., & Salomonis, N. (2012) · Bioinformatics · doi:10.1093/bioinformatics/bts366 · Cited by 263 · see citing works

Glial fibrillary acidic protein is elevated in superior frontal, parietal and cerebellar cortices of autistic subjects

Laurence, J. A., & Fatemi, S. H. (2005) · The Cerebellum · doi:10.1080/14734220500208846 · Cited by 246 · see citing works

Signed weighted gene co-expression network analysis of transcriptional regulation in murine embryonic stem cells

Mason, M. J., Fan, G., Plath, K., Zhou, Q., & Horvath, S. (2009) · BMC Genomics · doi:10.1186/1471-2164-10-327 · Cited by 243 · see citing works

Microdeletions of 3q29 confer high risk for schizophrenia

Mulle, J. G., Dodd, A. F., McGrath, J. A., Wolyniec, P. S., Mitchell, A. A., Shetty, A. C., Sobreira, N. L., Valle, D., Rudd, M. K., Satten, G., et al. (2010) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2010.07.013 · Cited by 223 · see citing works

The road to precision psychiatry: translating genetics into disease mechanisms

Gandal, M. J., Leppa, V., Won, H., Parikshak, N. N., & Geschwind, D. H. (2016) · Nature Neuroscience · doi:10.1038/nn.4409 · Cited by 223 · see citing works

A Cross-Study Comparison of Gene Expression Studies for the Molecular Classification of Lung Cancer

Parmigiani, G., Garrett-Mayer, E. S., Anbazhagan, R., & Gabrielson, E. W. (2004) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-03-0490 · Cited by 214 · see citing works

Regional variation in gene expression in the healthy colon is dysregulated in ulcerative colitis

Noble, C. L., Abbas, A. R., Cornelius, J., Lees, C. W., Ho, G., Toy, K. J., Modrusan, Z. D., Pal, N., Zhong, F. L., Chalasani, S., et al. (2008) · Gut · doi:10.1136/gut.2008.148395 · Cited by 205 · see citing works

Molecular profiles of schizophrenia in the CNS at different stages of illness

Narayan, S., Tang, B., Head, S. R., Gilmartin, T. J., Sutcliffe, J. G., Dean, B., & Thomas, E. A. (2008) · Brain Research · doi:10.1016/j.brainres.2008.08.023 · Cited by 204 · see citing works

Age-Dependent Brain Gene Expression and Copy Number Anomalies in Autism Suggest Distinct Pathological Processes at Young Versus Mature Ages

Chow, M. L., Pramparo, T., Winn, M. E., Barnes, C. C., Li, H.-R., Weiss, L., Fan, J.-B., Murray, S., April, C., Belinson, H., et al. (2012) · PLoS Genetics · doi:10.1371/journal.pgen.1002592 · Cited by 202 · see citing works

A Quantitative Framework to Evaluate Modeling of Cortical Development by Neural Stem Cells

Stein, J. L., de la Torre-Ubieta, L., Tian, Y., Parikshak, N. N., Hernández, I. A., Marchetto, M. C., Baker, D. K., Lu, D., Hinman, C. R., Lowe, J. K., et al. (2014) · Neuron · doi:10.1016/j.neuron.2014.05.035 · Cited by 201 · see citing works

Analysis of gene expression in two large schizophrenia cohorts identifies multiple changes associated with nerve terminal function

Maycox, P. R., Kelly, F., Taylor, A. R., Bates, S., Reid, J. L., Logendra, R., Barnes, M. R., Larminie, C. G. C., Jones, N. A., Lennon, M. G., et al. (2009) · Molecular Psychiatry · doi:10.1038/mp.2009.18 · Cited by 199 · see citing works

Copy number variation in bipolar disorder

Green, E., Rees, E., Walters, J., Gordon‐Smith, K., Forty, L., Grozeva, D., Moran, J. L., Sklar, P. B., Ripke, S., Chambert, K. D., et al. (2015) · Molecular Psychiatry · doi:10.1038/mp.2014.174 · Cited by 183 · see citing works

Common polygenic risk for autism spectrum disorder (ASD) is associated with cognitive ability in the general population

Clarke, T.-K., Lupton, M. K., Fernandez-Pujals, A. M., Starr, J., Davies, G., Cox, S., Pattie, A., Liewald, D. C., Hall, L. S., MacIntyre, D. J., et al. (2016) · Molecular Psychiatry · doi:10.1038/mp.2015.12 · Cited by 179 · see citing works

Using large clinical data sets to infer pathogenicity for rare copy number variants in autism cohorts

Moreno-De-Luca, D., Sanders, S. J., Willsey, A. J., Mulle, J. G., Lowe, J. K., Geschwind, D. H., State, M. W., Martin, C. L., & Ledbetter, D. H. (2013) · Molecular Psychiatry · doi:10.1038/mp.2012.138 · Cited by 161 · see citing works

Two gene co-expression modules differentiate psychotics and controls

Chen, C., Cheng, L., Grennan, K., Pibiri, F., Zhang, C., Badner, J. A., Members of the Bipolar Disorder Genome Study (BiGS) Consortium, Gershon, E. S., & Liu, C. (2013) · Molecular Psychiatry · doi:10.1038/mp.2012.146 · Cited by 157 · see citing works

Network methods for describing sample relationships in genomic datasets: Application to Huntington’s disease

Oldham, M. C., Langfelder, P., & Horvath, S. (2012) · BMC Systems Biology · doi:10.1186/1752-0509-6-63 · Cited by 154 · see citing works

Evaluation of TrkB and BDNF transcripts in prefrontal cortex, hippocampus, and striatum from subjects with schizophrenia, bipolar disorder, and major depressive disorder

Reinhart, V., Bove, S. E., Volfson, D., Lewis, D. A., Kleiman, R. J., & Lanz, T. A. (2015) · Neurobiology of Disease · doi:10.1016/j.nbd.2015.03.011 · Cited by 139 · see citing works

Serotonergic transcriptional networks and potential importance to mental health

Deneris, E. S., & Wyler, S. C. (2012) · Nature Neuroscience · doi:10.1038/nn.3039 · Cited by 125 · see citing works

Whole Genome Gene Expression Meta-Analysis of Inflammatory Bowel Disease Colon Mucosa Demonstrates Lack of Major Differences between Crohn's Disease and Ulcerative Colitis

Granlund, A. V. B., Flatberg, A., Østvik, A. E., Drozdov, I. A., Gustafsson, B. I., Kidd, M. S., Beisvåg, V., TORP, S. H., Waldum, H. L., Martinsen, T. C., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0056818 · Cited by 118 · see citing works

qSVA framework for RNA quality correction in differential expression analysis

Jaffe, A. E., Tao, R., Norris, A. L., Kealhofer, M., Nellore, A., Shin, J. H., Kim, D., Jia, Y., Hyde, T. M., Kleinman, J. E., et al. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1617384114 · Cited by 114 · see citing works

The organization of the transcriptional network in specific neuronal classes

Winden, K. D., Oldham, M. C., Mirnics, K., Ebert, P. J., Swan, C. H., Levitt, P., Rubenstein, J. L., Horvath, S., & Geschwind, D. H. (2009) · Molecular Systems Biology · doi:10.1038/msb.2009.46 · Cited by 112 · see citing works

Roles of the LHX3 and LHX4 LIM-homeodomain factors in pituitary development

Mullen, R. D., Colvin, S. C., Hunter, C. S., Savage, J. J., Walvoord, E. C., Bhangoo, A., Ten, S., Weigel, J. F. W., Pfäffle, R. W., & Rhodes, S. J. (2007) · Molecular and Cellular Endocrinology · doi:10.1016/j.mce.2006.12.019 · Cited by 107 · see citing works

A Conserved BDNF, Glutamate- and GABA-Enriched Gene Module Related to Human Depression Identified by Coexpression Meta-Analysis and DNA Variant Genome-Wide Association Studies

Chang, L., Jamain, S., Lin, C., Rujescu, D., Tseng, G. C., & Sibille, E. L. (2014) · PLoS ONE · doi:10.1371/journal.pone.0090980 · Cited by 104 · see citing works

Coexpression networks identify brain region–specific enhancer RNAs in the human brain

Yao, P., Lin, P., Gokoolparsadh, A., Assareh, A. A., Thang, M. W. C., & Voineagu, I. (2015) · Nature Neuroscience · doi:10.1038/nn.4063 · Cited by 91 · see citing works

Duplication of the SLIT3 Locus on 5q35.1 Predisposes to Major Depressive Disorder

Glessner, J., Wang, K., Abou‐Sleiman, P. M., Zhang, H., Kim, C., Flory, J. H., Bradfield, J. P., Imielinski, M. B., Frackelton, E. C., Qiu, H., et al. (2010) · PLoS ONE · doi:10.1371/journal.pone.0015463 · Cited by 65 · see citing works

iPSC-derived neurons as a higher-throughput readout for autism: promises and pitfalls

Prilutsky, D., Palmer, N., Smedemark-Margulies, N., Schlaeger, T. M., Margulies, D. M., & Kohane, I. S. (2013) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2013.11.004 · Cited by 48 · see citing works

Length Bias Correction in Gene Ontology Enrichment Analysis Using Logistic Regression

Mi, G., Di, Y., Emerson, S., Cumbie, J. S., & Chang, J. H. (2012) · PLoS ONE · doi:10.1371/journal.pone.0046128 · Cited by 39 · see citing works

MergeMaid: R Tools for Merging and Cross-Study Validation of Gene Expression Data

Cope, L., Zhong, X., Garrett, E., & Parmigiani, G. (2004) · Statistical Applications in Genetics and Molecular Biology · doi:10.2202/1544-6115.1046 · Cited by 36 · see citing works

Olanzapine Reversed Brain Gene Expression Changes Induced by Phencyclidine Treatment in Non-Human Primates

Martin, M. V., Mirnics, K., Nisenbaum, L. K., & Vawter, M. P. (2015) · Complex Psychiatry · doi:10.1159/000430786 · Cited by 22 · see citing works

Correction for Schumann et al., Genome-wide association and genetic functional studies identify autism susceptibility candidate 2 gene (AUTS2) in the regulation of alcohol consumption

Schumann, G., Coin, L., Lourdusamy, A., Charoen, P., Berger, K. H., Stacey, D., Desrivières, S., Alıev, F., Khan, A. A., Amin, N., et al. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1106917108 · Cited by 14 · see citing works

The Lancet Commission on global mental health and sustainable development

Patel, V., Saxena, S., Lund, C., Thornicroft, G., Baingana, F., Bolton, P., Chisholm, D., Collins, P. Y., Cooper, J. L., Eaton, J., et al. (2018) · The Lancet · doi:10.1016/s0140-6736(18)31612-x · Cited by 3,692 · see citing works

Large-Scale Exome Sequencing Study Implicates Both Developmental and Functional Changes in the Neurobiology of Autism

Satterstrom, F. K., Kosmicki, J. A., Wang, J., Breen, M. S., De Rubeis, S., An, J.-Y., Peng, M., Collins, R., Grove, J., Klei, L., et al. (2020) · Cell · doi:10.1016/j.cell.2019.12.036 · Cited by 2,321 · see citing works

Genomic Relationships, Novel Loci, and Pleiotropic Mechanisms across Eight Psychiatric Disorders

Lee, P. H., Anttila, V., Won, H., Feng, Y.-C. A., Rosenthal, J., Zhu, Z., Tucker-Drob, E. M., Nivard, M. G., Grotzinger, A. D., Posthuma, D., et al. (2019) · Cell · doi:10.1016/j.cell.2019.11.020 · Cited by 1,381 · see citing works

Transcriptome-wide isoform-level dysregulation in ASD, schizophrenia, and bipolar disorder

Gandal, M. J., Zhang, P., Hadjimichael, E., Walker, R. L., Chen, C., Liu, S., Won, H., van Bakel, H., Varghese, M., Wang, Y., et al. (2018) · Science · doi:10.1126/science.aat8127 · Cited by 1,247 · see citing works

Comprehensive functional genomic resource and integrative model for the human brain

Wang, D., Liu, S., Warrell, J., Won, H., Shi, X., Navarro, F. C. P., Clarke, D., Gu, M., Emani, P., Yang, Y. T., et al. (2018) · Science · doi:10.1126/science.aat8464 · Cited by 965 · see citing works

Altered Connectivity in Depression: GABA and Glutamate Neurotransmitter Deficits and Reversal by Novel Treatments

Duman, R. S., Sanacora, G., & Krystal, J. H. (2019) · Neuron · doi:10.1016/j.neuron.2019.03.013 · Cited by 1,026 · see citing works

Large-scale proteomic analysis of Alzheimer’s disease brain and cerebrospinal fluid reveals early changes in energy metabolism associated with microglia and astrocyte activation

Johnson, E. C. B., Dammer, E. B., Duong, D. M., Ping, L., Zhou, M., Yin, L., Higginbotham, L. A., Guajardo, A., White, B., Troncoso, J. C., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-0815-6 · Cited by 1,001 · see citing works

All for One and One for All: Mental Disorders in One Dimension

Caspi, A., & Moffitt, T. E. (2018) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2018.17121383 · Cited by 918 · see citing works

Integrative functional genomic analysis of human brain development and neuropsychiatric risks

Li, M., Santpere, G., Imamura Kawasawa, Y., Evgrafov, O. V., Gulden, F. O., Pochareddy, S., Sunkin, S. M., Li, Z., Shin, Y., Zhu, Y., et al. (2018) · Science · doi:10.1126/science.aat7615 · Cited by 810 · see citing works

Predictive Processing: A Canonical Cortical Computation

Keller, G. B., & Mrsic-Flogel, T. D. (2018) · Neuron · doi:10.1016/j.neuron.2018.10.003 · Cited by 836 · see citing works

Longitudinal Assessment of Mental Health Disorders and Comorbidities Across 4 Decades Among Participants in the Dunedin Birth Cohort Study

Caspi, A., Houts, R. M., Ambler, A., Danese, A., Elliott, M. L., Hariri, A., Harrington, H., Hogan, S., Poulton, R., Ramrakha, S., et al. (2020) · JAMA Network Open · doi:10.1001/jamanetworkopen.2020.3221 · Cited by 633 · see citing works

Brain mechanisms of insomnia: new perspectives on causes and consequences

Someren, E. J. W. V. (2020) · Physiological Reviews · doi:10.1152/physrev.00046.2019 · Cited by 558 · see citing works

Trans effects on gene expression can drive omnigenic inheritance

Liu, X., Li, Y. I., & Pritchard, J. K. (2019) · Cell · doi:10.1016/j.cell.2019.04.014 · Cited by 523 · see citing works

Defining the genetic, genomic, cellular, and diagnostic architectures of psychiatric disorders

Sullivan, P. F., & Geschwind, D. H. (2019) · Cell · doi:10.1016/j.cell.2019.01.015 · Cited by 452 · see citing works

A cross-disorder connectome landscape of brain dysconnectivity

van den Heuvel, M. P., & Sporns, O. (2019) · Nature Reviews Neuroscience · doi:10.1038/s41583-019-0177-6 · Cited by 462 · see citing works

Microglia and Beyond: Innate Immune Cells As Regulators of Brain Development and Behavioral Function

Lenz, K. M., & Nelson, L. H. (2018) · Frontiers in Immunology · doi:10.3389/fimmu.2018.00698 · Cited by 491 · see citing works

Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program

Geirsdottir, L., David, E., Keren-Shaul, H., Weiner, A., Bohlen, S. C., Neuber, J., Balic, A., Giladi, A., Sheban, F., Dutertre, C.-A., et al. (2019) · Cell · doi:10.1016/j.cell.2019.11.010 · Cited by 461 · see citing works

Common Dysfunction of Large-Scale Neurocognitive Networks Across Psychiatric Disorders

Sha, Z., Wager, T. D., Mechelli, A., & He, Y. (2019) · Biological Psychiatry · doi:10.1016/j.biopsych.2018.11.011 · Cited by 367 · see citing works

Cortical patterning of abnormal morphometric similarity in psychosis is associated with brain expression of schizophrenia-related genes

Morgan, S. E., Seidlitz, J., Whitaker, K. J., Romero-García, R., Clifton, N. E., Scarpazza, C., van Amelsvoort, T., Marcelis, M. C., van Os, J., Donohoe, G. J., et al. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1820754116 · Cited by 397 · see citing works

Gamma oscillations as a biomarker for major depression: an emerging topic

Fitzgerald, P. J., & Watson, B. O. (2018) · Translational Psychiatry · doi:10.1038/s41398-018-0239-y · Cited by 363 · see citing works

Retinal transcriptome and eQTL analyses identify genes associated with age-related macular degeneration

Ratnapriya, R., Sosina, O. A., Starostik, M. R., Kwicklis, M., Kapphahn, R. J., Fritsche, L. G., Walton, A., Arvanitis, M., Gieser, L., Pietraszkiewicz, A., et al. (2019) · Nature Genetics · doi:10.1038/s41588-019-0351-9 · Cited by 312 · see citing works

Prenatal and infant exposure to ambient pesticides and autism spectrum disorder in children: population based case-control study

Ehrenstein, O. S. V., Ling, C., Cui, X., Cockburn, M., Park, A. S., Yu, F., Wu, J. Y., & Ritz, B. R. (2019) · BMJ · doi:10.1136/bmj.l962 · Cited by 328 · see citing works

In vivo Perturb-Seq reveals neuronal and glial abnormalities associated with autism risk genes

Jin, X., Simmons, S. K., Guo, A., Shetty, A. S., Ko, M., Nguyen, L., Jokhi, V., Robinson, E., Oyler, P., Curry, N., et al. (2020) · Science · doi:10.1126/science.aaz6063 · Cited by 317 · see citing works

Mechanisms of synaptic transmission dysregulation in the prefrontal cortex: pathophysiological implications

Yan, Z., & Rein, B. (2022) · Molecular Psychiatry · doi:10.1038/s41380-021-01092-3 · Cited by 300 · see citing works

Validity and utility of Hierarchical Taxonomy of Psychopathology (HiTOP): I. Psychosis superspectrum

Kotov, R., Jonas, K. G., Carpenter, W. T., Dretsch, M. N., Eaton, N. R., Forbes, M. K., Forbush, K. T., Hobbs, K. A., Reininghaus, U., Slade, T. N., et al. (2020) · World Psychiatry · doi:10.1002/wps.20730 · Cited by 310 · see citing works

Cortical structural differences in major depressive disorder correlate with cell type-specific transcriptional signatures

Li, J., Seidlitz, J., John Suckling, A., Fan, F., Ji, G., Meng, Y., Yang, S., Wang, K., Qiu, J., Chen, H., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-21943-5 · Cited by 316 · see citing works

Meta-Analysis of the Alzheimer’s Disease Human Brain Transcriptome and Functional Dissection in Mouse Models

Wan, Y.-W., Al-Ouran, R., Mangleburg, C. G., Perumal, T. M., Lee, T. V., Allison, K., Swarup, V., Funk, C. C., Gaiteri, C., Allen, M., et al. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.107908 · Cited by 295 · see citing works

Getting to the cores of autism

Iakoucheva, L. M., Muotri, A. R., & Sebat, J. (2019) · Cell · doi:10.1016/j.cell.2019.07.037 · Cited by 260 · see citing works

Long-term Risk of Neuropsychiatric Disease After Exposure to Infection In Utero

al-Haddad, B. J. S., Jacobsson, B., Chabra, S., Modzelewska, D., Olson, E. M., Bernier, R., Enquobahrie, D. A., Hagberg, H., Östling, S., Rajagopal, L., et al. (2019) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2019.0029 · Cited by 285 · see citing works

Single-cell epigenomics reveals mechanisms of human cortical development

Ziffra, R. S., Kim, C. N., Ross, J. M., Wilfert, A. B., Turner, T. N., Haeussler, M., Casella, A. M., Przytycki, P. F., Keough, K. C., Shin, D. S., et al. (2021) · Nature · doi:10.1038/s41586-021-03209-8 · Cited by 267 · see citing works

Genetic Control of Expression and Splicing in Developing Human Brain Informs Disease Mechanisms

Walker, R. L., Ramaswami, G., Hartl, C., Mancuso, N., Gandal, M. J., de la Torre-Ubieta, L., Paşaniuc, B., Stein, J. L., & Geschwind, D. H. (2019) · Cell · doi:10.1016/j.cell.2019.09.021 · Cited by 259 · see citing works

Broad transcriptomic dysregulation occurs across the cerebral cortex in ASD

Gandal, M. J., Haney, J. R., Wamsley, B., Yap, C. X., Parhami, S., Emani, P. S., Chang, N., Chen, G. T., Hoftman, G. D., de Alba, D., et al. (2022) · Nature · doi:10.1038/s41586-022-05377-7 · Cited by 281 · see citing works

Autism spectrum disorder at the crossroad between genes and environment: contributions, convergences, and interactions in ASD developmental pathophysiology

Cheroni, C., Caporale, N., & Testa, G. (2020) · Molecular Autism · doi:10.1186/s13229-020-00370-1 · Cited by 268 · see citing works

Innate immunity at the crossroads of healthy brain maturation and neurodevelopmental disorders

Zengeler, K. E., & Lukens, J. R. (2021) · Nature reviews. Immunology · doi:10.1038/s41577-020-00487-7 · Cited by 254 · see citing works

Synergistic effects of common schizophrenia risk variants

Schrode, N., Ho, S., Yamamuro, K., Dobbyn, A. L., Huckins, L. M., Matos, M. R., Cheng, E., Deans, P. J. M., Flaherty, E. K., Barretto, N., et al. (2019) · Nature Genetics · doi:10.1038/s41588-019-0497-5 · Cited by 223 · see citing works

Oxidative Stress‐Related Mechanisms in Schizophrenia Pathogenesis and New Treatment Perspectives

Ermakov, E. A., Dmitrieva, E. M., Parshukova, D. A., Kazantseva, D. V., Vasilieva, A. R., & Smirnova, L. P. (2021) · Oxidative Medicine and Cellular Longevity · doi:10.1155/2021/8881770 · Cited by 252 · see citing works

Multivariate meta-analyses of mitochondrial complex I and IV in major depressive disorder, bipolar disorder, schizophrenia, Alzheimer disease, and Parkinson disease

Holper, L., Ben‐Shachar, D., & Mann, J. (2018) · Neuropsychopharmacology · doi:10.1038/s41386-018-0090-0 · Cited by 234 · see citing works

Glial cells in schizophrenia: a unified hypothesis

Dietz, A. G., Goldman, S. A., & Nedergaard, M. (2019) · The Lancet Psychiatry · doi:10.1016/s2215-0366(19)30302-5 · Cited by 224 · see citing works

Identification of epilepsy-associated neuronal subtypes and gene expression underlying epileptogenesis

Pfisterer, U., Petukhov, V., Demharter, S., Meichsner, J., Thompson, J. J., Batiuk, M. Y., Asenjo-Martínez, A., Vasistha, N. A., Thakur, A., Mikkelsen, J. D., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-18752-7 · Cited by 224 · see citing works

Penetrance and Pleiotropy of Polygenic Risk Scores for Schizophrenia in 106,160 Patients Across Four Health Care Systems

Zheutlin, A. B., Dennis, J. K., Linnér, R. K., Moscati, A., RESTREPO, N. A., Straub, P., Ruderfer, D. M., Castro, V. M., Chen, C., Ge, T., et al. (2019) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2019.18091085 · Cited by 215 · see citing works

A genome-wide association study of shared risk across psychiatric disorders implicates gene regulation during fetal neurodevelopment

Schork, A. J., Won, H., Appadurai, V., Nudel, R., Gandal, M., Delaneau, O., Revsbech Christiansen, M., Hougaard, D. M., Bækved-Hansen, M., Bybjerg-Grauholm, J., et al. (2019) · Nature Neuroscience · doi:10.1038/s41593-018-0320-0 · Cited by 223 · see citing works

Neurodevelopmental Resilience and Susceptibility to Maternal Immune Activation

Meyer, U. (2019) · Trends in Neurosciences · doi:10.1016/j.tins.2019.08.001 · Cited by 222 · see citing works

Evidence-based umbrella review of 162 peripheral biomarkers for major mental disorders

Carvalho, A. F., Solmi, M., Sanches, M., Machado, M. O., Stubbs, B., Ajnakina, O., Sherman, C., Sun, Y. R., Liu, C. S., Brunoni, A. R., et al. (2020) · Translational Psychiatry · doi:10.1038/s41398-020-0835-5 · Cited by 204 · see citing works

Phenotypic Landscape of Schizophrenia-Associated Genes Defines Candidates and Their Shared Functions

Thyme, S. B., Pieper, L. M., Li, E. H., Pandey, S., Wang, Y., Morris, N. S., Sha, C., Choi, J. W., Herrera, K. J., Soucy, E. R., et al. (2018) · Cell · doi:10.1016/j.cell.2019.01.048 · Cited by 205 · see citing works

The polygenic architecture of schizophrenia — rethinking pathogenesis and nosology

Smeland, O. B., Frei, O., Dale, A. M., & Andreassen, O. A. (2020) · Nature Reviews Neurology · doi:10.1038/s41582-020-0364-0 · Cited by 202 · see citing works

Right care, first time: a highly personalised and measurement‐based care model to manage youth mental health

Hickie, I. B., Scott, E. M., Cross, S. P., Iorfino, F., Davenport, T. A., Guastella, A. J., Naismith, S. L., Carpenter, J. S., Rohleder, C., Crouse, J. J., et al. (2019) · Medical Journal of Australia · doi:10.5694/mja2.50383 · Cited by 208 · see citing works

Astrocyte-Secreted Chordin-like 1 Drives Synapse Maturation and Limits Plasticity by Increasing Synaptic GluA2 AMPA Receptors

Blanco‐Suárez, E., Liu, T., Kopelevich, A., & Allen, N. J. (2018) · Neuron · doi:10.1016/j.neuron.2018.09.043 · Cited by 204 · see citing works

A single-nuclei RNA sequencing study of Mendelian and sporadic AD in the human brain

Del-Aguila, J. L., Li, Z., Dube, U., Mihindukulasuriya, K. A., Budde, J. P., Fernandez, M. V., Ibanez, L., Bradley, J., Wang, F., Bergmann, K., et al. (2019) · Alzheimer's Research &amp; Therapy · doi:10.1186/s13195-019-0524-x · Cited by 183 · see citing works

Genetic mapping of etiologic brain cell types for obesity

Timshel, P. N., Thompson, J. J., & Pers, T. H. (2020) · eLife · doi:10.7554/elife.55851 · Cited by 194 · see citing works

Shared mechanisms across the major psychiatric and neurodegenerative diseases

Wingo, T. S., Liu, Y., Gerasimov, E. S., Vattathil, S. M., Wynne, M. E., Liu, J., Lori, A., Faundez, V., Bennett, D. A., Seyfried, N. T., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-31873-5 · Cited by 199 · see citing works

Mitochondria, Metabolism, and Redox Mechanisms in Psychiatric Disorders

Kim, Y., Vadodaria, K. C., Lenkei, Z., Kato, T., Gage, F. H., Marchetto, M. C., & Santos, R. (2018) · Antioxidants and Redox Signaling · doi:10.1089/ars.2018.7606 · Cited by 189 · see citing works

Cortical interneurons in autism

Contractor, A., Ethell, I. M., & Portera‐Cailliau, C. (2021) · Nature Neuroscience · doi:10.1038/s41593-021-00967-6 · Cited by 180 · see citing works

Microglia-containing human brain organoids for the study of brain development and pathology

Zhang, W., Jiang, J., Xu, Z., Yan, H., Tang, B., Liu, C., Chen, C., & Meng, Q. (2022) · Molecular Psychiatry · doi:10.1038/s41380-022-01892-1 · Cited by 188 · see citing works

Using Two-Step Cluster Analysis and Latent Class Cluster Analysis to Classify the Cognitive Heterogeneity of Cross-Diagnostic Psychiatric Inpatients

Benassi, M., Garofalo, S., Ambrosini, F., Sant’Angelo, R. P., Raggini, R., Paoli, G. D., Ravani, C., Giovagnoli, S., Orsoni, M., & Piraccini, G. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.01085 · Cited by 178 · see citing works

Convergent molecular, cellular, and cortical neuroimaging signatures of major depressive disorder

Anderson, K. M., Collins, M. A., Kong, R., Fang, K., Li, J., He, T., Chekroud, A. M., Yeo, B. T. T., & Holmes, A. J. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2008004117 · Cited by 173 · see citing works

Transcriptomic organization of the human brain in post-traumatic stress disorder

Girgenti, M. J., Wang, J., Ji, D., Cruz, D. A., Program, T. M. V., Stein, M. B., Gelernter, J. E., Young, K., Huber, B. R., Williamson, D. E., et al. (2020) · Nature Neuroscience · doi:10.1038/s41593-020-00748-7 · Cited by 173 · see citing works

Single-cell genomics and regulatory networks for 388 human brains

Emani, P. S., Liu, J. J., Clarke, D., Jensen, M., Warrell, J., Gupta, C., Meng, R., Lee, C.-Y., Xu, S., Dursun, C., et al. (2024) · Science · doi:10.1126/science.adi5199 · Cited by 168 · see citing works

Cell type specific transcriptomic differences in depression show similar patterns between males and females but implicate distinct cell types and genes

Maitra, M., Mitsuhashi, H., Rahimian, R., Chawla, A., Yang, J., Fiori, L. M., Davoli, M. A., Perlman, K., Aouabed, Z., Mash, D. C., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-38530-5 · Cited by 164 · see citing works

Autism spectrum disorder: insights into convergent mechanisms from transcriptomics

Quesnel-Vallières, M., Weatheritt, R. J., Cordes, S. P., & Blencowe, B. J. (2018) · Nature Reviews Genetics · doi:10.1038/s41576-018-0066-2 · Cited by 160 · see citing works

Transcriptional signatures of schizophrenia in hiPSC-derived NPCs and neurons are concordant with post-mortem adult brains

Hoffman, G. E., Hartley, B. J., Flaherty, E. K., Ladran, I., Gochman, P., Ruderfer, D. M., Stahl, E. A., Rapoport, J. L., Sklar, P. B., & Brennand, K. (2017) · Nature Communications · doi:10.1038/s41467-017-02330-5 · Cited by 158 · see citing works

Structural brain imaging studies offer clues about the effects of the shared genetic etiology among neuropsychiatric disorders

Radonjić, N. V., Hess, J., Rovira, P., Andreassen, O. A., Buitelaar, J. K., Ching, C. R. K., Franke, B., Hoogman, M., Jahanshad, N., McDonald, C. R., et al. (2021) · Molecular Psychiatry · doi:10.1038/s41380-020-01002-z · Cited by 162 · see citing works

A concerted neuron–astrocyte program declines in ageing and schizophrenia

Ling, E., Nemesh, J. C., Goldman, M., Kamitaki, N., Reed, N. M., Handsaker, R. E., Genovese, G., Vogelgsang, J. S., Gerges, S., Kashin, S., et al. (2024) · Nature · doi:10.1038/s41586-024-07109-5 · Cited by 161 · see citing works

Reviewing the genetics of heterogeneity in depression: operationalizations, manifestations and etiologies

Cai, N., Choi, K. W., & Fried, E. I. (2020) · Human Molecular Genetics · doi:10.1093/hmg/ddaa115 · Cited by 153 · see citing works

Transcriptomic Landscape and Functional Characterization of Induced Pluripotent Stem Cell–Derived Cerebral Organoids in Schizophrenia

Kathuria, A., Lopez-Lengowski, K., Jagtap, S., McPhie, D. L., Perlis, R. H., Cohen, B. M., & Karmacharya, R. (2020) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2020.0196 · Cited by 154 · see citing works

Cell-specific histone modification maps in the human frontal lobe link schizophrenia risk to the neuronal epigenome

Girdhar, K., Hoffman, G. E., Jiang, Y., Brown, L., Kundakovic, M., Hauberg, M. E., Francoeur, N. J., Wang, Y.-C., Shah, H., Kavanagh, D. H., et al. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0187-0 · Cited by 139 · see citing works

Identification of evolutionarily conserved gene networks mediating neurodegenerative dementia

Swarup, V., Hinz, F. I., Rexach, J. E., Noguchi, K.-I., Toyoshiba, H., Oda, A., Hirai, K., Sarkar, A., Seyfried, N. T., Cheng, C., et al. (2019) · Nature Medicine · doi:10.1038/s41591-018-0223-3 · Cited by 136 · see citing works

Pleiotropy and Cross-Disorder Genetics Among Psychiatric Disorders

Lee, P. H., Feng, Y. A., & Smoller, J. W. (2020) · Biological Psychiatry · doi:10.1016/j.biopsych.2020.09.026 · Cited by 153 · see citing works

Molecular cascades and cell type–specific signatures in ASD revealed by single-cell genomics

Wamsley, B., Bicks, L. K., Cheng, Y., Kawaguchi, R., Quintero, D., Grundman, J., Liu, J., Xiao, S., Hawken, N., Margolis, M., et al. (2024) · Science · doi:10.1126/science.adh2602 · Cited by 150 · see citing works

Synapse Pathology in Schizophrenia: A Meta-analysis of Postsynaptic Elements in Postmortem Brain Studies

van Berlekom, A. B., Muflihah, C. H., Snijders, G. J. L., MacGillavry, H. D., Middeldorp, J., Hol, E. M., Kahn, R. S., & de Witte, L. D. (2019) · Schizophrenia Bulletin · doi:10.1093/schbul/sbz060 · Cited by 149 · see citing works

Mechanisms of tissue and cell-type specificity in heritable traits and diseases

Hekselman, I., & Yeger‐Lotem, E. (2020) · Nature Reviews Genetics · doi:10.1038/s41576-019-0200-9 · Cited by 146 · see citing works

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

Werling, D. M., Pochareddy, S., Choi, J., An, J., Sheppard, B. K., Peng, M., Li, Z., Dastmalchi, C., Santpere, G., Sousa, A. M. M., et al. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.03.053 · Cited by 133 · see citing works

What we learn about bipolar disorder from large‐scale neuroimaging: Findings and future directions from the ENIGMA Bipolar Disorder Working Group

Ching, C. R. K., Hibar, D. P., Gurholt, T. P., Nunes, A., Thomopoulos, S. I., Abé, C., Agartz, I., Brouwer, R. M., Cannon, D. M., de Zwarte, S. M. C., et al. (2020) · Human Brain Mapping · doi:10.1002/hbm.25098 · Cited by 143 · see citing works

Cross-trait assortative mating is widespread and inflates genetic correlation estimates

Border, R., Athanasiadis, G. I., Buil, A., Schork, A. J., Cai, N., Young, A. I., Werge, T. M., Jonathan Flint, C., Kendler, K. S., Sankararaman, S., et al. (2022) · Science · doi:10.1126/science.abo2059 · Cited by 130 · see citing works

Autistic Symptoms in Schizophrenia Spectrum Disorders: A Systematic Review and Meta-Analysis

De Crescenzo, F., Postorino, V., Siracusano, M., Riccioni, A., Armando, M., Curatolo, P., & Mazzone, L. (2019) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2019.00078 · Cited by 143 · see citing works

Upper cortical layer–driven network impairment in schizophrenia

Batiuk, M. Y., Tyler, T., Dragičević, K., Mei, S., Rydbirk, R., Petukhov, V., Deviatiiarov, R. M., Sedmak, D., Frank, E., Feher, V., et al. (2022) · Science Advances · doi:10.1126/sciadv.abn8367 · Cited by 141 · see citing works

90 years of monoamine oxidase: some progress and some confusion

Tipton, K. F. (2018) · Journal of Neural Transmission · doi:10.1007/s00702-018-1881-5 · Cited by 138 · see citing works

Simultaneous CRISPR screening and spatial transcriptomics reveal intracellular, intercellular, and functional transcriptional circuits

Binan, L., Jiang, A., Danquah, S. A., Valakh, V., Simonton, B., Bezney, J., Manguso, R. T., Yates, K. B., Nehme, R., Cleary, B., et al. (2025) · Cell · doi:10.1016/j.cell.2025.02.012 · Cited by 141 · see citing works

Shared Genetic Loci Between Body Mass Index and Major Psychiatric Disorders

Bahrami, S., Steen, N. E., Shadrin, A. A., O’Connell, K. S., Frei, O., Bettella, F., Wirgenes, K. V., Krull, F., Fan, C. C., Dale, A. M., et al. (2020) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2019.4188 · Cited by 132 · see citing works

Current understanding of bipolar disorder: Toward integration of biological basis and treatment strategies

Kato, T. (2019) · Psychiatry and Clinical Neurosciences · doi:10.1111/pcn.12852 · Cited by 138 · see citing works

Neuronal impact of patient-specific aberrant NRXN1α splicing

Flaherty, E. K., Zhu, S., Barretto, N., Cheng, E., Deans, P. J. M., Fernando, M. B., Schrode, N., Francoeur, N. J., Antoine, A., Alganem, K., et al. (2019) · Nature Genetics · doi:10.1038/s41588-019-0539-z · Cited by 130 · see citing works

The contributions of rare inherited and polygenic risk to ASD in multiplex families

Cirnigliaro, M., Chang, T. S., Arteaga, S. A., Pérez‐Cano, L., Ruzzo, E. K., Gordon, A., Bicks, L. K., Jung, J.-Y., Lowe, J. K., Wall, D. P., et al. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2215632120 · Cited by 120 · see citing works

Charting the Landscape of Genetic Overlap Between Mental Disorders and Related Traits Beyond Genetic Correlation

Hindley, G., Frei, O., Shadrin, A. A., Cheng, W., O’Connell, K. S., Icick, R., Parker, N., Bahrami, S., Karadag, N., Roelfs, D., et al. (2022) · American Journal of Psychiatry · doi:10.1176/appi.ajp.21101051 · Cited by 114 · see citing works

Neuroinflammation and Schizophrenia

Buckley, P. F. (2019) · Current Psychiatry Reports · doi:10.1007/s11920-019-1050-z · Cited by 120 · see citing works

Dynamic functional connectivity in schizophrenia and autism spectrum disorder: Convergence, divergence and classification

Rabany, L., Brocke, S., Calhoun, V. D., Pittman, B. P., Corbera, S., Wexler, B. E., Bell, M. D., Pelphrey, K. A., Pearlson, G. D., & Assaf, M. (2019) · NeuroImage Clinical · doi:10.1016/j.nicl.2019.101966 · Cited by 119 · see citing works

Redefining phenotypes to advance psychiatric genetics: Implications from hierarchical taxonomy of psychopathology.

Waszczuk, M. A., Eaton, N. R., Krueger, R. F., Shackman, A. J., Waldman, I. D., Zald, D. H., Lahey, B. B., Patrick, C. J., Conway, C., Ormel, J., et al. (2019) · Journal of Abnormal Psychology · doi:10.1037/abn0000486 · Cited by 120 · see citing works

Family history of mental and neurological disorders and risk of autism

Xie, S., Karlsson, H., Dalman, C., Widman, L., Rai, D., Gardner, R. M., Magnusson, C., Schendel, D. E., Newschaffer, C. J., & Lee, B. K. (2019) · JAMA Network Open · doi:10.1001/jamanetworkopen.2019.0154 · Cited by 111 · see citing works

Aralar Sequesters GABA into Hyperactive Mitochondria, Causing Social Behavior Deficits

Kanellopoulos, A. K., Mariano, V., Spinazzi, M., Woo, Y. J., Mclean, C., Pech, U., Li, K. W., Armstrong, J. D., Giangrande, A., Callaerts, P., et al. (2020) · Cell · doi:10.1016/j.cell.2020.02.044 · Cited by 114 · see citing works

Integrative genomics identifies a convergent molecular subtype that links epigenomic with transcriptomic differences in autism

Ramaswami, G., Won, H., Gandal, M. J., Haney, J., Wang, J. C., Wong, C. C. Y., Sun, W., Prabhakar, S., Mill, J., & Geschwind, D. H. (2020) · Nature Communications · doi:10.1038/s41467-020-18526-1 · Cited by 113 · see citing works

The transcription factor POU3F2 regulates a gene coexpression network in brain tissue from patients with psychiatric disorders

Chen, C., Meng, Q., Xia, Y., Ding, C., Wang, L., Dai, R., Cheng, L., Gunaratne, P. H., Gibbs, R. A., Min, S., et al. (2018) · Science Translational Medicine · doi:10.1126/scitranslmed.aat8178 · Cited by 107 · see citing works

Identification and prioritization of gene sets associated with schizophrenia risk by co-expression network analysis in human brain

Radulescu, E., Jaffe, A. E., Straub, R. E., Chen, Q., Shin, J. H., Hyde, T. M., Kleinman, J. E., & Weinberger, D. R. (2018) · Molecular Psychiatry · doi:10.1038/s41380-018-0304-1 · Cited by 109 · see citing works

Astroglia-specific contributions to the regulation of synapses, cognition and behaviour

Augusto‐Oliveira, M., Arrifano, G. D. P., Takeda, P. Y., Lopes-Araújo, A., Santos-Sacramento, L., Anthony, D. C., Verkhratsky, A., & Lopez, M. E. C. (2020) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2020.07.039 · Cited by 107 · see citing works

Diurnal rhythms in gene expression in the prefrontal cortex in schizophrenia

Seney, M. L., Cahill, K., Enwright, J. F., Logan, R. W., Huo, Z., Zong, W., Tseng, G., & McClung, C. A. (2019) · Nature Communications · doi:10.1038/s41467-019-11335-1 · Cited by 108 · see citing works

Alterations in GABAA-Receptor Trafficking and Synaptic Dysfunction in Brain Disorders

Mele, M., Costa, R. O., & Duarte, C. B. (2019) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2019.00077 · Cited by 106 · see citing works

Microglia roles in synaptic plasticity and myelination in homeostatic conditions and neurodevelopmental disorders

Bar, E., & Barak, B. (2019) · Glia · doi:10.1002/glia.23637 · Cited by 103 · see citing works

Transcriptome analysis and functional characterization of cerebral organoids in bipolar disorder

Kathuria, A., Lopez-Lengowski, K., Vater, M., McPhie, D. L., Cohen, B. M., & Karmacharya, R. (2020) · Genome Medicine · doi:10.1186/s13073-020-00733-6 · Cited by 107 · see citing works

Genetics of substance use disorders in the era of big data

Gelernter, J. E., & Polimanti, R. A. (2021) · Nature Reviews Genetics · doi:10.1038/s41576-021-00377-1 · Cited by 102 · see citing works

Inflaming sex differences in mood disorders

Rainville, J. R., & Hodes, G. E. (2018) · Neuropsychopharmacology · doi:10.1038/s41386-018-0124-7 · Cited by 106 · see citing works

Atypical Lateralization in Neurodevelopmental and Psychiatric Disorders: What Is the Role of Stress?

Berretz, G., Wolf, O. T., Güntürkün, O., & Ocklenburg, S. (2020) · Cortex · doi:10.1016/j.cortex.2019.12.019 · Cited by 100 · see citing works

Brain foods - the role of diet in brain performance and health

Ekstrand, B., Scheers, N., Rasmussen, M. K., Young, J. F., Ross, A. B., & Landberg, R. (2020) · Nutrition Reviews · doi:10.1093/nutrit/nuaa091 · Cited by 110 · see citing works

Schizotypy-Related Magnetization of Cortex in Healthy Adolescence Is Colocated With Expression of Schizophrenia-Related Genes

Romero-García, R., Seidlitz, J., Whitaker, K. J., Morgan, S. E., Fonagy, P., Dolan, R. J., Jones, P. B., Goodyer, I. M., John Suckling, A., Bullmore, E. T., et al. (2019) · Biological Psychiatry · doi:10.1016/j.biopsych.2019.12.005 · Cited by 102 · see citing works

Commonality in dysregulated expression of gene sets in cortical brains of individuals with autism, schizophrenia, and bipolar disorder

Guan, J., Cai, J. J., Ji, G., & Sham, P. C. (2019) · Translational Psychiatry · doi:10.1038/s41398-019-0488-4 · Cited by 83 · see citing works

Shared molecular dysregulation across neuropsychiatric disorders reveals candidate therapeutic targets

Mohan, S., Selvam, P. K., & Vasudevan, K. (2026) · Advances in protein chemistry and structural biology · doi:10.1016/bs.apcsb.2026.04.010

Transcriptome analysis of cortical tissue reveals shared sets of downregulated genes in autism and schizophrenia

Ellis, S. E., Panitch, R., West, A. B., & Arking, D. E. (2016) · Translational Psychiatry · doi:10.1038/tp.2016.87 · Cited by 48 · see citing works

Genes overlap across psychiatric disease

Zahn, L. M. (2018) · Science · doi:10.1126/science.359.6376.648-b

Convergence of Brain Transcriptomic and Neuroimaging Patterns in Schizophrenia, Bipolar Disorder, Autism Spectrum Disorder, and Major Depressive Disorder

Ardesch, D. J., Libedinsky, I., Scholtens, L. H., Wei, Y., & van den Heuvel, M. P. (2023) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2022.12.013 · Cited by 23 · see citing works