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A polygenic burden of rare disruptive mutations in schizophrenia
Open accessAbstract
Schizophrenia is a common disease with a complex aetiology, probably involving multiple and heterogeneous genetic factors. Here, by analysing the exome sequences of 2,536 schizophrenia cases and 2,543 controls, we demonstrate a polygenic burden primarily arising from rare (less than 1 in 10,000), disruptive mutations distributed across many genes. Particularly enriched gene sets include the voltage-gated calcium ion channel and the signalling complex formed by the activity-regulated cytoskeleton-associated scaffold protein (ARC) of the postsynaptic density, sets previously implicated by genome-wide association and copy-number variation studies. Similar to reports in autism, targets of the fragile X mental retardation protein (FMRP, product of FMR1) are enriched for case mutations. No individual gene-based test achieves significance after correction for multiple testing and we do not detect any alleles of moderately low frequency (approximately 0.5 to 1 per cent) and moderately large effect. Taken together, these data suggest that population-based exome sequencing can discover risk alleles and complements established gene-mapping paradigms in neuropsychiatric disease.
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“These findings support our model in which CYFIP1 regulation of calcium channel subunits compromise intracellular calcium levels, resulting in delayed axonal development10,84,85 (Fig. 7).”
From CYFIP1 governs the development of cortical axons by modulating calcium availability (2025) · cites this paper as [10]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Additionally, a polygenic pattern including a rare heterozygous disruptive nonsense variant, p.Arg624Ter, in CYFIP1 was detected in a patient diagnosed with SCZ115 (Table 2n).”
From The WAVE complex in developmental and adulthood brain disorders (2025) · cites this paper as [115]
Experimental — accuracy not yet measuredIn the citing paper
“direct comparisons of the contributions of common and rare genetic variation show that common variation dominates heritable risk for SCZ and ASD (Gaugler et al., 2014; Purcell et al., 2014)”
From Defining the genetic, genomic, cellular, and diagnostic architectures of psychiatric disorders (2019) · cites this paper as Purcell et al., 2014
In the citing paper
“In the instances where this has been studied directly, polygenic risk acts additively with major mutational burdens (Gaugler et al., 2014; Niemi et al., 2018; Purcell et al., 2014; Weiner et al., 2017).”
From Defining the genetic, genomic, cellular, and diagnostic architectures of psychiatric disorders (2019) · cites this paper as Purcell et al., 2014
In the citing paper
“Thus, many severe mutations do not converge on one specific phenotype but instead seem to cause a range of clinical disorders74,76,80,81,84,87,91.”
From Systems biology and gene networks in neurodevelopmental and neurodegenerative disorders (2015) · cites this paper as [81]
In the citing paper
“Additionally, whole-exome sequencing studies of other neurodevelopmental disorders have found enrichment for FMRP targets in rare mutations in schizophrenia81, intellectual disability68 and epilepsy78.”
From Systems biology and gene networks in neurodevelopmental and neurodegenerative disorders (2015) · cites this paper as [81]
In the citing paper
“Earlier schizophrenia sequencing studies have established that ultra-rare and de novo mutations contribute to risk as a category, and have prioritized disease-relevant tissues and processes, specifically observing an enrichment in neuronal genes and synaptic processes9,11,19–23.”
From Rare coding variants in ten genes confer substantial risk for schizophrenia (2022) · cites this paper as [19]
In the citing paper
“among 5,092 (of the 12,332) individuals who were also part of an earlier sequencing study9, the additional data allowed us to re-classify ~66% of variants that had been “singletons” as segregating variants (not URVs in the current analysis).”
From Increased burden of ultra-rare protein-altering variants among 4,877 individuals with schizophrenia (2016) · cites this paper as [9]
In the citing paper
“A strong and consistent finding in exome-sequencing studies of schizophrenia involves an excess of variants in genes whose mRNAs are bound by the fragile X mental retardation protein (FMRP)9,12,27.”
From Increased burden of ultra-rare protein-altering variants among 4,877 individuals with schizophrenia (2016) · cites this paper as [9]
In the citing paper
“The observed enrichment was consistent across data from previously analyzed exomes9 and newly generated data (Supplementary Fig. 5); as the previously analyzed exomes were sequenced across randomized batches with equal number of cases and controls in each batch, this provides additional evidence that the enrichment is not due to technical effects.”
From Increased burden of ultra-rare protein-altering variants among 4,877 individuals with schizophrenia (2016) · cites this paper as [9]
In the citing paper
“The fact that an analysis of the current scale (4,877 cases, 6,203 controls, and 45,376 other genomes used to help identify ultra-rare variants) did not implicate individual genes of large effect in an unbiased exome-wide search – while documenting a very clear exome-wide elevation of hundreds of pathogenic variants across 4,877 individuals affected with schizophrenia relative to controls – lends”
From Increased burden of ultra-rare protein-altering variants among 4,877 individuals with schizophrenia (2016) · cites this paper as [9]
In the citing paper
“Psychiatric cases with a diagnosis of schizophrenia or bipolar disorder were ascertained from the Swedish National Hospital Discharge Register as described in previous studies9,50, which captures all inpatient hospitalizations. Controls were randomly selected from population registers.”
From Increased burden of ultra-rare protein-altering variants among 4,877 individuals with schizophrenia (2016) · cites this paper as [9]
In the citing paper
“SCZ is truly complex and appears to result from a myriad of genetic variants exerting small effects on disease risk4,5, conforming closely to a classical polygenic model.”
From Gene expression elucidates functional impact of polygenic risk for schizophrenia (2016) · cites this paper as [5]
In the citing paper
“SCZ is truly complex and appears to result from a myriad of genetic variants exerting small effects on disease risk4,5, conforming closely to a classical polygenic model.”
From Gene expression elucidates functional impact of polygenic risk for schizophrenia (2016) · cites this paper as [5]
In the citing paper
“The available data are incomplete but implicate synaptic components, including calcium channel subunits and post-synaptic elements5–7.”
From Gene expression elucidates functional impact of polygenic risk for schizophrenia (2016) · cites this paper as [5]
In the citing paper
“We note that strong, independent support of our findings comes from the observation that analyses of rare variants have also implicated postsynaptic pathways in SCZ etiology23,24, suggesting that both rare and common variants are relevant.”
From Psychiatric genome-wide association study analyses implicate neuronal, immune and histone pathways (2015) · cites this paper as [24]
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Citations
Cites
Fast and accurate short read alignment with Burrows-Wheeler transform
Li, H., & Durbin, R. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp324 · Cited by 58,607
A framework for variation discovery and genotyping using next-generation DNA sequencing data
DePristo, M. A., Banks, E., Poplin, R. E., Garimella, K. V., Maguire, J., Hartl, C., Philippakis, A., del Angel, G., Rivas, M. A., Hanna, M., et al. (2011) · Nature Genetics · doi:10.1038/ng.806 · Cited by 11,457
Self-citationCommon polygenic variation contributes to risk of schizophrenia and bipolar disorder
The International Schizophrenia Consortium (2009) · Nature · doi:10.1038/nature08185 · Cited by 4,821
Self-citation(2013) · The Lancet · doi:10.1016/s0140-6736(12)62129-1 · Cited by 3,010
Rare-Variant Association Testing for Sequencing Data with the Sequence Kernel Association Test
Wu, M. C., Lee, S., Cai, T., Li, Y., Boehnke, M., & Lin, X. (2011) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2011.05.029 · Cited by 2,373
Schizophrenia as a Complex Trait: Evidence From a Meta-analysis of Twin Studies
Sullivan, P. F., Kendler, K. S., & Neale, M. C. (2003) · Archives of General Psychiatry · doi:10.1001/archpsyc.60.12.1187 · Cited by 2,356
Self-citationSporadic 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
Lichtenstein, P., Yip, B. H., Björk, C., Pawitan, Y., Cannon, T. D., Sullivan, P. F., & Hultman, C. M. (2009) · The Lancet · doi:10.1016/s0140-6736(09)60072-6 · Cited by 2,125
Self-citationDe 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
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
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Collins, M. O. (2014) · Neuron · doi:10.1016/j.neuron.2014.09.018 · Cited by 15
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McClain, L. L., Shaw, P., Sabol, R. M., Chedia, A. M., Segreti, A. M., Rengasamy, M. L., Finegold, D. N., Pan, L. A., & Peters, D. G. (2020) · Journal of Neuroscience Research · doi:10.1002/jnr.24609 · Cited by 15
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Richard, E. A., Khlestova, E., Nanu, R., & Lisman, J. E. (2016) · Schizophrenia Research · doi:10.1016/j.schres.2016.09.008 · Cited by 15
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Kals, M., Nikopensius, T., Läll, K., Pärn, K., Sikka, T. T., Suvisaari, J., Salomaa, V. V., Ripatti, S., Palotie, A. V., Metspalu, A., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/579201 · Cited by 15
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Mastwal, S. S., Li, X., Stowell, R. D., Manion, M. T. C., Zhang, W., Kim, N., Yoon, K., Song, H., Ming, G., & Wang, K. H. (2023) · eLife · doi:10.7554/elife.87414 · Cited by 14
Mariano, V., Kanellopoulos, A. K., Ricci, C., Di Marino, D., Borrie, S. C., Dupraz, S., Bradke, F., Achsel, T., Legius, E., Odent, S., et al. (2024) · Biological Psychiatry · doi:10.1016/j.biopsych.2023.08.027 · Cited by 14
Perkins, D. O., Jeffries, C. D., Clark, S. R., Upthegrove, R., Wannan, C., Wray, N. R., Li, Q. S., Kim, Q., Walker, E. F., Amminger, G. P., et al. (2025) · Schizophrenia · doi:10.1038/s41537-025-00610-4 · Cited by 15
Duan, J. (2015) · Neuroscience Bulletin · doi:10.1007/s12264-014-1488-2 · Cited by 14
Escott‐Price, V., Pardiñas, A. F., Santiago, E., Walters, J., Kirov, G., Owen, M. J., & O’Donovan, M. C. (2019) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2018.18020140 · Cited by 14
Rzepnikowska, W., Kamińska, J., Kabzińska, D., Binięda, K., & Kochański, A. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21124277 · Cited by 14
Nawa, Y., Kimura, H., Mori, D., Kato, H., Toyama, M., Furuta, S., Yu, Y., Ishizuka, K., Kushima, I., Aleksić, B., et al. (2020) · Human Genome Variation · doi:10.1038/s41439-020-00125-7 · Cited by 14
Gender differences in CNV burden do not confound schizophrenia CNV associations
Han, J., Walters, J., Kirov, G., Pocklington, A. J., Escott‐Price, V., Owen, M. J., Holmans, P., O’Donovan, M. C., & Rees, E. (2016) · Scientific Reports · doi:10.1038/srep25986 · Cited by 14
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Thompson, P. M., Hibar, D. P., Stein, J. L., Prasad, G., & Jahanshad, N. (2016) · Research and perspectives in neurosciences · doi:10.1007/978-3-319-27777-6_10 · Cited by 14
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Nagalski, A., Koziński, K., & Wisniewska, M. B. (2016) · The International Journal of Biochemistry & Cell Biology · doi:10.1016/j.biocel.2016.09.012 · Cited by 14
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Gao, W., & Mack, N. R. (2021) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2021.618397 · Cited by 14
Joe, P., Clemente, J. C., Piras, E., Wallach, D. S., Robinson‐Papp, J., Boka, E., Remsen, B., Bonner, M., Kimhy, D., Goetz, D. M., et al. (2021) · Schizophrenia Research · doi:10.1016/j.schres.2021.09.019 · Cited by 14
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Li, W., Lv, L., & Luo, X. (2022) · Molecular Psychiatry · doi:10.1038/s41380-022-01449-2 · Cited by 14
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Deans, P. M., Townsley, K. G., Li, A., Seah, C., Johnson, J., García‐González, J., Cao, E., Schrode, N., Yu, A., Cartwright, S., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.03.29.486286 · Cited by 14
Self-citationKang, J., Jiao, Z., Qin, Y., Wang, Y., Wang, J., Li, J., Feng, J., Wang, F., Tang, Y., & Gong, X. (2022) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2021.12.043 · Cited by 13
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Hsu, J. S., Kwan, J. S. H., Pan, Z., García-Barceló, M.-M., Sham, P. C., & Li, M. (2016) · Bioinformatics · doi:10.1093/bioinformatics/btw381 · Cited by 13
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Nöthen, M. M., Degenhardt, F., & Forstner, A. J. (2019) · Der Nervenarzt · doi:10.1007/s00115-018-0670-6 · Cited by 13
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Self-citationWang, S., Tanaka, Y., Xu, Y., Takeda, S., & Hirokawa, N. (2022) · Developmental Cell · doi:10.1016/j.devcel.2022.09.007 · Cited by 13
Berryer, M. H., Rizki, G., Nathanson, A. J., Klein, J. A., Trendafilova, D., Susco, S. G., Lam, D., Messana, A., Holton, K. M., Karhohs, K. W., et al. (2023) · eLife · doi:10.7554/elife.80168 · Cited by 14
Thygesen, J. H., Zambach, S. K., Ingason, A., Lundin, P., Hansen, T. F., Bertalan, M., Rosengren, A., Bjerre, D., Ferrero‐Miliani, L., Rasmussen, H. B., et al. (2015) · Schizophrenia Research · doi:10.1016/j.schres.2015.08.037 · Cited by 13
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Tzeng, J., Magnusson, P. K. E., Sullivan, P. F., & Szatkiewicz, J. (2015) · PLoS Genetics · doi:10.1371/journal.pgen.1005403 · Cited by 13
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Rogdaki, M., Hathway, P., Gudbrandsen, M., McCutcheon, R. A., Jauhar, S., Daly, E., & Howes, O. D. (2019) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2019.09.005 · Cited by 13
Aguirre-Chen, C., Stec, N., Ramos, O. M., Kim, N., Kramer, M., McCarthy, S., Gillis, J., McCombie, W. R., & Hammell, C. M. (2020) · G3 Genes Genomes Genetics · doi:10.1534/g3.119.400925 · Cited by 14
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Ca2+-dependent hyperpolarization hypothesis for mammalian sleep
Tatsuki, F., Ode, K. L., & Ueda, H. R. (2017) · Neuroscience Research · doi:10.1016/j.neures.2017.03.012 · Cited by 13
Lacey, C. J., Doudney, K., Bridgman, P. G., George, P. M., Mulder, R., Zarifeh, J., Kimber, B., Cadzow, M. J., Black, M. A., Merriman, T. R., et al. (2018) · Scientific Reports · doi:10.1038/s41598-018-25827-5 · Cited by 13
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Gratten, J. (2016) · Nature Neuroscience · doi:10.1038/nn.4422 · Cited by 12
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Schuran, M., Goudey, B., Dite, G. S., & Makalic, E. (2025) · Briefings in Bioinformatics · doi:10.1093/bib/bbaf373 · Cited by 14
Horizons of psychiatric genetics and epigenetics: where are we and where are we heading?
Abdolmaleky, H. M. (2014) · Europe PMC (PubMed Central) · Cited by 12
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Moon, A. L., Brydges, N. M., Wilkinson, L. S., Hall, J., & Thomas, K. L. (2019) · Schizophrenia Bulletin · doi:10.1093/schbul/sbz127 · Cited by 12
Eaaswarkhanth, M., Pavlidis, P., & Gökçümen, Ö. (2014) · Human Biology · doi:10.13110/humanbiology.86.4.0260 · Cited by 12
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Vinkhuyzen, A. A. E., & Wray, N. R. (2014) · Epidemiology and Psychiatric Sciences · doi:10.1017/s2045796014000584 · Cited by 12
Madrigal, I., Álvarez‐Mora, M. I., Rosell, J., Rodríguez‐Revenga, L., Karlberg, O., Sauer, S., Syvänen, A., & Milà, M. (2016) · European Journal of Human Genetics · doi:10.1038/ejhg.2015.267 · Cited by 12
Vorstman, J. A. S., Loohuis, L. M. O., GROUP Investigators, Kahn, R. S., Ophoff, R. A., GROUP investigators, Alizadeh, B. Z., Bartels‐Velthuis, A. A., van Beveren, N. J. M., Bruggeman, R., et al. (2018) · Human Molecular Genetics · doi:10.1093/hmg/ddy175 · Cited by 12
John, J., Kukshal, P., Sharma, A. K., Triptish Bhatia, A., Nimgaonkar, V. L., Deshpande, S. N., & Thelma, B. K. (2018) · Schizophrenia Research · doi:10.1016/j.schres.2018.12.012 · Cited by 12
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Kaindl, J., & Winner, B. (2019) · Current topics in behavioral neurosciences · doi:10.1007/7854_2019_111 · Cited by 12
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Bobbili, D. R., Banda, P., Krüger, R., & May, P. (2020) · Journal of Medical Genetics · doi:10.1136/jmedgenet-2019-106316 · Cited by 12
Kim, S. J., Sönmez, K., Swan, R., Campbell, J. P., Ostmo, S. R., Chan, R. V. P., Nagiel, A., Drenser, K. A., Berrocal, A. M., Horowitz, J., et al. (2021) · Scientific Reports · doi:10.1038/s41598-021-83552-y · Cited by 12
Pol-Fuster, J., Cañellas, F., Ruiz-Guerra, L., Medina-Dols, A., Bisbal-Carrió, B., Asensio, V. J., Ortega-Vila, B., Marzese, D. M., Vidal, C., Santos, C., et al. (2021) · Frontiers in Genetics · doi:10.3389/fgene.2021.622886 · Cited by 12
Rare germline variants in individuals diagnosed with schizophrenia within multiplex families
Li, S., DeLisi, L. E., & McDonough, S. I. (2021) · Psychiatry Research · doi:10.1016/j.psychres.2021.114038 · Cited by 12
Altered splicing associated with the pathology of inflammatory bowel disease
Berger, K., Somineni, R. P., Prince, J., Kugathasan, S., & Gibson, G. C. (2021) · Human Genomics · doi:10.1186/s40246-021-00347-y · Cited by 12
Du, J., Nakachi, Y., Kiyono, T., Fujii, S., Kasai, K., Bundo, M., & Iwamoto, K. (2021) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2021.792874 · Cited by 12
α2δ-4 and Cachd1 Proteins Are Regulators of Presynaptic Functions
Ablinger, C., Eibl, C., Geisler, S. M., Campiglio, M., Stephens, G. J., Missler, M., & Obermair, G. J. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23179885 · Cited by 12
Erbb4Deletion From Inhibitory Interneurons Causes Psychosis-Relevant Neuroimaging Phenotypes
Kiemes, A., Navacerrada, M. E. S., Kim, E., Randall, K., Simmons, C., Gonzalez, L. R., Petrinovic, M. M., Lythgoe, D. J., Rotaru, D., Censo, D. D., et al. (2022) · Schizophrenia Bulletin · doi:10.1093/schbul/sbac192 · Cited by 12
Developmental restoration of LTP deficits in heterozygous CaMKIIα KO mice
Goodell, D. J., Benke, T. A., & Bayer, K. U. (2016) · Journal of Neurophysiology · doi:10.1152/jn.00518.2016 · Cited by 12
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Yurov, Y. B., Vorsanova, S. G., Ia, D., Сергеевич, К. В., Vm, V., Soloviev, I. V., Uranova, N. A., & Iourov, I. Y. (2016) · S S Korsakov Journal of Neurology and Psychiatry · doi:10.17116/jnevro201611611186-91 · Cited by 12
Advanced Whole-Genome Sequencing and Analysis of Fetal Genomes from Amniotic Fluid
Mao, Q., Chin, R. G., Xie, W., Deng, Y., Zhang, W., Xu, H., Zhang, R. Y. U., Shi, Q., Peters, E. E., Gulbahce, N., et al. (2018) · Clinical Chemistry · doi:10.1373/clinchem.2017.281220 · Cited by 12
Pass, R., Haan, N., Humby, T., Wilkinson, L. S., Hall, J., & Thomas, K. L. (2022) · Genes Brain & Behavior · doi:10.1111/gbb.12799 · Cited by 12
McInnes, G., Daneshjou, R., Katsonis, P., Lichtarge, O., Srinivasan, R., Rana, S., Predrag Radivojac, A., Mooney, S. D., Pagel, K. A., Stamboulian, M. H., et al. (2019) · Human Mutation · doi:10.1002/humu.23825 · Cited by 12
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Zheng, X., Li, J., & Jin, X. (2025) · Annual Review of Genomics and Human Genetics · doi:10.1146/annurev-genom-120823-125811 · Cited by 11
Wood, A. R., Tuke, M. A., Nalls, M. A., Hernandez, D. G., Gibbs, J. R., Lin, H., Xu, C. S., Li, Q., Shen, J., Jun, G., et al. (2014) · Human Molecular Genetics · doi:10.1093/hmg/ddu560 · Cited by 11
Association of CACNA1C and SYNE1 in offspring of patients with psychiatric disorders
Gassó, P., Sánchez‐Gistau, V., Mas, S., Sugranyes, G., Rodríguez, N., Boloc, D., de la Serna, E., Romero, S., Moreno, D. M., Moreno, C., et al. (2016) · Psychiatry Research · doi:10.1016/j.psychres.2016.08.058 · Cited by 11
Cohort profile: SUPER-Finland – the Finnish study for hereditary mechanisms of psychotic disorders
Lähteenvuo, M., Ahola‐Olli, A., Suokas, K., Torniainen‐Holm, M., Misiewicz, Z., Jukuri, T., Männynsalo, T., Wegelius, A., Haaki, W., Kajanne, R., et al. (2023) · BMJ Open · doi:10.1136/bmjopen-2022-070710 · Cited by 11
Rodriguez‐Lopez, J. A., Sobrino, B., Amigo, J., Carrera, N., Brenlla, J., Agra, S., Paz, E., Carracedo, Á., Páramo, M., Arrojo, M., et al. (2017) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-017-0799-5 · Cited by 11
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Michaelson, J. J. (2017) · Neurotherapeutics · doi:10.1007/s13311-017-0551-x · Cited by 11
O’Brien, N. L., Fiorentino, A., Curtis, D., Rayner, C., Petrosellini, C., AlEissa, M. M., Bass, N. J., McQuillin, A., & Sharp, S. I. (2018) · Schizophrenia Research · doi:10.1016/j.schres.2018.03.001 · Cited by 11
Jia, P., Chen, X., Xie, W., Kendler, K. S., & Zhao, Z. (2018) · Schizophrenia Bulletin · doi:10.1093/schbul/sby085 · Cited by 11
Zhang, S., You, L., Xu, Q., Ou, J., Wu, D., Yuan, X., Liu, Z., Hong, Q., Tong, M., Yang, L., et al. (2020) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2020.03.015 · Cited by 11
Effect of pharmacological manipulations on Arc function
Yakout, D. W., Ramesh, N. S., & Mabb, A. M. (2020) · Current Research in Pharmacology and Drug Discovery · doi:10.1016/j.crphar.2020.100013 · Cited by 11
Scelsi, M. A., Napolioni, V., Greicius, M. D., Altmann, A., Initiative, A. D. N., & the Alzheimer’s Disease Sequencing Project (ADSP) (2021) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1008517 · Cited by 11
The PFC-LH-VTA pathway contributes to social deficits in IRSp53-mutant mice
Noh, Y. W., Kim, Y., Lee, S., Kim, Y., Shin, J. J., Kang, H., Kim, I. H., & Kim, E. (2023) · Molecular Psychiatry · doi:10.1038/s41380-023-02257-y · Cited by 11
Sørensen, H. J., Larsen, J. T., Mors, O. N., Nordentoft, M., Mortensen, P. B., & Petersen, L. V. (2015) · Schizophrenia Research · doi:10.1016/j.schres.2015.01.018 · Cited by 11
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Degenhardt, F., Heinemann, B., Strohmaier, J., Pfohl, M. A., Giegling, I., Hofmann, A., Ludwig, K. U., Witt, S. H., Ludwig, M., Forstner, A. J., et al. (2016) · Psychiatric Genetics · doi:10.1097/ypg.0000000000000145 · Cited by 11
Association of Exome Sequences With Cardiovascular Traits Among Blacks in the Jackson Heart Study
Peloso, G. M., Lange, L. A., Varga, T. V., Nickerson, D. A., Smith, J. D., Griswold, M. E., Musani, S. K., Polfus, L. M., Mei, H., Gabriel, S., et al. (2016) · Circulation Cardiovascular Genetics · doi:10.1161/circgenetics.116.001410 · Cited by 11
Self-citationProteome dynamics during postnatal mouse corpus callosum development
Son, A. I., Fu, X., Suto, F., Liu, J. S.-H., Hashimoto‐Torii, K., & Torii, M. (2017) · Scientific Reports · doi:10.1038/srep45359 · Cited by 11
Volk, D. W., & Lewis, D. A. (2014) · Elsevier eBooks · doi:10.1016/b978-0-12-410529-4.00105-4 · Cited by 11
A brain atlas of synapse protein lifetime across the mouse lifespanPreprint
Bulovaite, E., Qiu, Z., Kratschke, M., Zgraj, A., Fricker, D. G., Tuck, E. J., Gokhale, R., Jami, S. A., Merino‐Serrais, P., Husi, E., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.12.16.472938 · Cited by 11
Self-citationYao, Y., Yang, J., Xie, Y., Liao, H., Yang, B., Xu, Q., & Rao, S. (2020) · Schizophrenia Bulletin · doi:10.1093/schbul/sbz048 · Cited by 10
Deleterious coding variation associated with autism is shared across ancestries
Avila, M. N., Jung, S., Satterstrom, F. K., Fu, J. M., Levy, T., Sloofman, L. G., Klei, L., Pichardo, T., Márquez., D. Y. P., Stevens, C. R., et al. (2026) · Nature Medicine · doi:10.1038/s41591-026-04228-6 · Cited by 12
Self-citation
Metadata
- Authors
- Purcell, S. M., Moran, J. L., Fromer, M., Ruderfer, D., Solovieff, N., Roussos, P., O’Dushlaine, C., Chambert, K., Bergen, S. E., Kähler, A., Duncan, L., Stahl, E., Genovese, G., Fernández, E., Collins, M. O., Komiyama, N. H., Choudhary, J. S., Magnusson, P. K. E., Banks, E., Shakir, K., Garimella, K., Fennell, T., DePristo, M., Grant, S. G. N., Haggarty, S. J., Gabriel, S., Scolnick, E. M., Lander, E. S., Hultman, C. M., Sullivan, P. F., McCarroll, S. A., & Sklar, P.
- Affiliations
- Broad Institute (US)
- Icahn School of Medicine at Mount Sinai (US)
- Massachusetts General Hospital (US)
- Karolinska Institutet (SE)
- KU Leuven (BE)
- Wellcome Sanger Institute (GB)
- University of Edinburgh (GB)
- University of North Carolina at Chapel Hill (US)
- Corresponding author
- Purcell, Shaun M.
- ORCID
- Purcell, Shaun M.
- Moran, Jennifer L.
- Fromer, Menachem
- Ruderfer, Douglas
- Solovieff, Nadia
- Roussos, Panos
- Bergen, Sarah E.
- Kähler, Anna
- Duncan, Laramie
- Genovese, Giulio
- Fernández, Esperanza
- Collins, Mark O.
- Komiyama, Noboru H.
- Choudhary, Jyoti S.
- Magnusson, Patrik K. E.
- Banks, Eric
- Garimella, Kiran
- Fennell, Tim
- Grant, Seth G. N.
- Haggarty, Stephen J.
- Gabriel, Stacey
- Scolnick, Edward M.
- Lander, Eric S.
- Sullivan, Patrick F.
- McCarroll, Steven A.
- Sklar, Pamela
- Venue
- Nature
- Published
- 2014-01-22
- Volume
- 506
- Issue
- 7487
- Pages
- 185-190
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC4136494
- OpenAlex
- W2132297623
- Cited by
- 1,385
- References
- 52
- Citations by year
- 2026: 23 · 2025: 39 · 2024: 34 · 2023: 60 · 2022: 96 · 2021: 98 · 2020: 123 · 2019: 145 · 2018: 158 · 2017: 169 · 2016: 169 · 2015: 158 · 2014: 113
- FWCI
- 154.88
- Type
- journal article
- Language
- en
- Open access
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- White Rose Research Online (University of Leeds, The University of Sheffield, University of York) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Carolina Digital Repository (University of North Carolina at Chapel Hill) (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- UNC Libraries
- Funders
- U.S. Department of Veterans Affairs (I01BX002395)
- Wellcome Trust
- European Commission (242167, 241995)
- Nederlandse Organisatie voor Wetenschappelijk Onderzoek (645-000-003)
- Karolinska Institutet
- Vetenskapsrådet (R01 MH077139)
- National Institutes of Health (241995)
- Stanley Center for Psychiatric Research, Broad Institute
- Medical Research Council
- National Heart, Lung, and Blood Institute
- National Institute of Mental Health (R01MH077139, T32MH017119, TT32MH017119, R01MH095088, RC2MH089905, R01MH095034, MH077139, R01MH091115, R01MH099126)
- National Human Genome Research Institute (U54HG003067, R01HG005827)
- 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 › Genetics › Genomics and Rare Diseases
- Keywords
- schizophrenia, polygenic burden, exome sequencing, activity-regulated cytoskeleton-associated protein, postsynaptic density, FMRP, glutamatergic synapses, autism spectrum disorder
- MeSH terms
- Disks Large Homolog 4 Protein, Autistic Disorder, Cytoskeletal Proteins, Female, Humans, Male, Membrane Proteins, Intellectual Disability, Mutation, Nerve Tissue Proteins, Schizophrenia, Calcium Channels, Receptors, N-Methyl-D-Aspartate, Multifactorial Inheritance, Intracellular Signaling Peptides and Proteins, Fragile X Messenger Ribonucleoprotein 1, Genome-Wide Association Study, DNA Copy Number Variations
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