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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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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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Egawa, J., Hoya, S., Watanabe, Y., Nunokawa, A., Shibuya, M., Ikeda, M., Inoue, E., Okuda, S., Kondo, K., Saito, T., et al. (2016) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.32444 · Cited by 21
Protein Interaction Networks Link Schizophrenia Risk Loci to Synaptic Function
Schwarz, E., Izmailov, R., Lió, P., & Meyer‐Lindenberg, A. (2016) · Schizophrenia Bulletin · doi:10.1093/schbul/sbw035 · Cited by 21
Leonenko, G., Richards, A. L., Walters, J., Pocklington, A. J., Chambert, K., AlEissa, M. M., Sharp, S. I., O’Brien, N. L., Curtis, D., Bass, N. J., et al. (2017) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.32560 · Cited by 21
Self-citationLi, J., Loebel, A. D., & Meltzer, H. Y. (2018) · Schizophrenia Research · doi:10.1016/j.schres.2018.04.006 · Cited by 21
Identification of potential genetic risk factors for bipolar disorder by whole-exome sequencing
Husson, T., Duboc, J.-B., Quenez, O., Charbonnier, C., Rothärmel, M., Cuenca, M., Jegouzo, X., Richard, A., Frébourg, T., Deleuze, J., et al. (2018) · Translational Psychiatry · doi:10.1038/s41398-018-0291-7 · Cited by 21
Assessment of somatic single-nucleotide variation in brain tissue of cases with schizophrenia
Fullard, J. F., Charney, A. W., Voloudakis, G., Uzilov, A. V., Haroutunian, V. H., & Roussos, P. (2019) · Translational Psychiatry · doi:10.1038/s41398-018-0342-0 · Cited by 21
Self-citationSilva, A. I., Ehrhart, F., Ulfarsson, M. O., Stefánsson, H., Stefánsson, K., Wilkinson, L. S., Hall, J., & Linden, D. E. J. (2022) · Biological Psychiatry · doi:10.1016/j.biopsych.2022.03.018 · Cited by 21
PSYCHIATRIC GENETICS AND THE FUTURE OF PERSONALIZED TREATMENT
Smoller, J. W. (2014) · Depression and Anxiety · doi:10.1002/da.22322 · Cited by 21
L-type Calcium Channel Cav1.2 Is Required for Maintenance of Auditory Brainstem Nuclei
Ebbers, L., Satheesh, S. V., Janz, K., Rüttiger, L., Blosa, M., Hofmann, F. B., Morawski, M., Griesemer, D., Knipper, M., Friauf, E., et al. (2015) · Journal of Biological Chemistry · doi:10.1074/jbc.m115.672675 · Cited by 21
Vadakkan, K. I. (2016) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2016.06.042 · Cited by 21
Derkach, A., Zhang, H., & Chatterjee, N. (2017) · Bioinformatics · doi:10.1093/bioinformatics/btx770 · Cited by 21
Schizophrenia: a classic battle ground of nature versus nurture debate
Clair, D. S., & Lang, B. (2021) · 中国科学通报:英文版 · doi:10.1016/j.scib.2021.01.032 · Cited by 20
Levenga, J., Wong, H., Milstead, R. A., LaPlante, L., & Hoeffer, C. A. (2021) · Cerebral Cortex Communications · doi:10.1093/texcom/tgab036 · Cited by 20
Exome-wide association study of treatment-resistant depression suggests novel treatment targets
Shah, S., Peddada, T., Song, C., Mensah, M., Sung, H., Yavi, M., Yuan, P., Zarate, C. A., Mickey, B. J., Burmeister, M., et al. (2023) · Scientific Reports · doi:10.1038/s41598-023-38984-z · Cited by 20
Targeting TrkB–PSD-95 coupling to mitigate neurological disorders
Yang, X., Huang, Y. A., & Marshall, J. J. (2024) · Neural Regeneration Research · doi:10.4103/nrr.nrr-d-23-02000 · Cited by 20
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Ogden, K. K., Ozkan, E. D., & Rumbaugh, G. (2015) · Neuropharmacology · doi:10.1016/j.neuropharm.2015.07.029 · Cited by 20
Cooper, N. J., Shtir, C. J., Smyth, D. J., Guo, H., Swafford, A. D.-E., Zanda, M., Hurles, M. E., Walker, N. M., Plagnol, V., Cooper, J. D., et al. (2014) · Human Molecular Genetics · doi:10.1093/hmg/ddu581 · Cited by 20
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Ross, J., Gedvilaite, E., Badner, J. A., Erdman, C. A., Baird, L. M., Matsunami, N., Leppert, M., Xing, J., & Byerley, W. (2016) · Complex Psychiatry · doi:10.1159/000448041 · Cited by 20
Qvist, P., Rajkumar, A. P., Redrobe, J. P., Nyegaard, M., Christensen, J., Mors, O. N., Wegener, G., Didriksen, M., & Børglum, A. D. (2017) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2017.03.009 · Cited by 20
Giacopuzzi, E., Gennarelli, M., Minelli, A., Gardella, R., Valsecchi, P., Traversa, M., Bonvicini, C., Vita, A., Sacchetti, E., & Magri, C. (2017) · PLoS ONE · doi:10.1371/journal.pone.0182778 · Cited by 20
Bouwkamp, C. G., Kievit, A. J. A., Markx, S., Friedman, J. I., van Zutven, L. J. C. M., van Minkelen, R., Vrijenhoek, T., Xu, B., Sterrenburg-v.d.Nieuwegiessen, I. M., Veltman, J. A., et al. (2017) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2017.16080946 · Cited by 20
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Garg, P., & Sharp, A. J. (2019) · Human Mutation · doi:10.1002/humu.23740 · Cited by 20
Levchenko, А., Nurgaliev, T., Kanapin, A. A., Samsonova, A. A., & Gainetdinov, R. R. (2020) · Heliyon · doi:10.1016/j.heliyon.2020.e03990 · Cited by 20
Hidalgo, S., Campusano, J. M., & Hodge, J. J. L. (2021) · Neurobiology of Disease · doi:10.1016/j.nbd.2021.105394 · Cited by 20
Peters, B. A., Liu, J., & Drmanac, R. (2015) · Frontiers in Genetics · doi:10.3389/fgene.2014.00466 · Cited by 20
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Mitchell, K. J. (2015) · Wiley eBooks · doi:10.1002/9781118524947.ch1 · Cited by 20
Quansah, E., Sgamma, T., Jaddoa, E., & Zetterström, T. (2017) · Neuroscience Letters · doi:10.1016/j.neulet.2017.06.012 · Cited by 20
Flaherty, E. K., & Brennand, K. J. (2017) · Brain Research · doi:10.1016/j.brainres.2015.11.009 · Cited by 19
Gao, X., Grendel, J., Muhia, M., Castro‐Gomez, S., Süsens, U., Isbrandt, D., Kneussel, M., Kuhl, D., & Ohana, O. (2019) · Journal of Neuroscience · doi:10.1523/jneurosci.0623-19.2019 · Cited by 19
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Jia, X., Goes, F. S., Locke, A. E., Palmer, D. S., Wang, W., Cohen‐Woods, S., Genovese, G., Jackson, A., Chen, J., Kvale, M. N., et al. (2021) · Molecular Psychiatry · doi:10.1038/s41380-020-01006-9 · Cited by 19
Self-citationSREBP modulates the NADP+/NADPH cycle to control night sleep in Drosophila
Mariano, V., Kanellopoulos, A. K., Aiello, G., Lo, A. C., Legius, E., Achsel, T., & Bagni, C. (2023) · Nature Communications · doi:10.1038/s41467-022-35577-8 · Cited by 19
No evidence for rare recessive and compound heterozygous disruptive variants in schizophrenia
Ruderfer, D. M., Lim, E. T., Genovese, G., Moran, J. L., Hultman, C. M., Sullivan, P. F., McCarroll, S. A., Holmans, P., Sklar, P. B., & Purcell, S. (2014) · European Journal of Human Genetics · doi:10.1038/ejhg.2014.228 · Cited by 19
Self-citationIshizuka, K., Kimura, H., Wang, C., Xing, J., Kushima, I., Arioka, Y., Oya‐Ito, T., Uno, Y., Okada, T., Mori, D., et al. (2016) · PLoS ONE · doi:10.1371/journal.pone.0153224 · Cited by 19
Pater, J. A., Benteau, T., Griffin, A., Penney, C., Stanton, S. G., Predham, S., Kielley, B., Squires, J., Zhou, J., Li, Q., et al. (2016) · Human Genetics · doi:10.1007/s00439-016-1746-7 · Cited by 19
Nandakumar, P., Lee, D., Richard, M. A., Ayele, F. T., Tayo, B. O., Ware, E. B., Sung, Y. J., Salako, B. L., Ogunniyi, A. O., Gu, C. C., et al. (2017) · Journal of Hypertension · doi:10.1097/hjh.0000000000001319 · Cited by 19
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Bandyopadhyay, B., Chanda, V., & Wang, Y. (2017) · Bioinformatics and Biology Insights · doi:10.1177/1177932217735096 · Cited by 19
AlEissa, M. M., Fiorentino, A., Sharp, S. I., O’Brien, N. L., Wolfe, K., Giaroli, G., Curtis, D., Bass, N. J., & McQuillin, A. (2017) · Annals of Human Genetics · doi:10.1111/ahg.12226 · Cited by 19
Jia, P., Chen, X., Fanous, A. H., & Zhao, Z. (2018) · Translational Psychiatry · doi:10.1038/s41398-018-0154-2 · Cited by 19
Khlghatyan, J., & Beaulieu, J. (2018) · Frontiers in Synaptic Neuroscience · doi:10.3389/fnsyn.2018.00022 · Cited by 19
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Kedrov, A. V., Durymanov, M. O., & Anokhin, K. V. (2019) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2019.02.006 · Cited by 19
Werling, D. M., Brand, H., An, J., Stone, M. R., Glessner, J., Zhu, L., Collins, R. L., Dong, S., Layer, R. M., Markenscoff-Papadimitriou, E., et al. (2019) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2017.08.010 · Cited by 19
Self-citationOh, S. J., & Fan, X. (2020) · Schizophrenia Research · doi:10.1016/j.schres.2020.05.050 · Cited by 19
Rajkumar, A. P., Qvist, P., Donskov, J. G., Lazarus, R. M., Pallesen, J., Nava, N., Winther, G., Liebenberg, N., la Cour, S. H., Paternoster, V., et al. (2020) · Translational Psychiatry · doi:10.1038/s41398-020-00914-2 · Cited by 19
van Calker, D., & Serchov, T. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.03.019 · Cited by 19
Fass, D. M., Lewis, M. C., Ahmad, R., Szucs, M. J., Zhang, Q., Fleishman, M., Wang, D., Kim, M. J., Biag, J. D., Carr, S. A., et al. (2022) · Molecular Psychiatry · doi:10.1038/s41380-022-01557-z · Cited by 20
Self-citationSusai, S. R., Föcking, M., Mongan, D., Heurich, M., Coutts, F., Egerton, A., Whetton, T., Rossum, I. W.-V., Unwin, R. D., Pollak, T. A., et al. (2023) · Schizophrenia Bulletin · doi:10.1093/schbul/sbac201 · Cited by 19
Docherty, A. R., Bigdeli, T. B., Edwards, A. C., Bacanu, S., Lee, D., Neale, M. C., Wormley, B., Walsh, D., O’Neill, F. A., Riley, B. P., et al. (2015) · Schizophrenia Research · doi:10.1016/j.schres.2015.02.013 · Cited by 19
Advancing psychiatric genetics through dissecting heterogeneity
Hodgson, K., McGuffin, P., & Lewis, C. M. (2017) · Human Molecular Genetics · doi:10.1093/hmg/ddx241 · Cited by 19
Li, W., Fan, C. C., Mäki‐Marttunen, T., Thompson, W. K., Schork, A. J., Bettella, F., Djurovic, S., Dale, A. M., Andreassen, O. A., & Wang, Y. (2018) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.32634 · Cited by 19
Region-specific inhibition of 14-3-3 proteins induces psychomotor behaviors in mice
Graham, K., Zhang, J., Qiao, H., Wu, Y., & Zhou, Y. (2019) · Schizophrenia · doi:10.1038/s41537-018-0069-1 · Cited by 19
Yoon, S., Parnell, E., & Penzes, P. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.107685 · Cited by 19
Nguyen, H. T., Bryois, J., Kim, A., Dobbyn, A., Huckins, L. M., Muñoz‐Manchado, A. B., Ruderfer, D. M., Genovese, G., Fromer, M., Xu, X., et al. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/135293 · Cited by 19
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Huckins, L. M., Dobbyn, A. L., McFadden, W. C., Wang, W., Ruderfer, D. M., Hoffman, G. E., Rajagopal, V. M., Nguyen, H. T., Roussos, P., Fromer, M., et al. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/222786 · Cited by 19
Self-citationSuárez-Rama, J. J., Arrojo, M., Sobrino, B., Amigo, J., Brenlla, J., Agra, S., Paz, E., Brión, M., Carracedo, Á., Páramo, M., et al. (2015) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2015.04.013 · Cited by 18
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Jansen, I. E., Gibbs, J. R., Nalls, M. A., Price, T. R., Lubbe, S. J., van Rooij, J., Uitterlinden, A. G., Kraaij, R., Williams, N. M., Brice, A., et al. (2017) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2017.07.009 · Cited by 18
Kim, Y., Noh, Y. W., Kim, K., Yang, E., Kim, H., & Kim, E. (2020) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2020.00023 · Cited by 18
Naujock, M., Speidel, A., Fischer, S. E., Kizner, V., Dorner‐Ciossek, C., & Gillardon, F. (2020) · Stem Cells and Development · doi:10.1089/scd.2020.0082 · Cited by 18
Quick, C., Wen, X., Abecasis, G. R., Boehnke, M., & Kang, H. M. (2020) · PLoS Genetics · doi:10.1371/journal.pgen.1009060 · Cited by 18
Haywood, D., & Baughman, F. D. (2021) · Computational Brain & Behavior · doi:10.1007/s42113-021-00106-1 · Cited by 18
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Ago, Y., Asano, S., Hashimoto, H., & Waschek, J. A. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.717490 · Cited by 18
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Li, X., & Teng, S. (2015) · Bioinformatics and Biology Insights · doi:10.4137/bbi.s28992 · Cited by 18
Methylomic Changes in Response to Micronutrient Supplementation and MTHFR Genotype
Stevens, A. J., Rucklidge, J. J., Darling, K. A., Eggleston, M. J. F., Pearson, J. F., & Kennedy, M. A. (2018) · Epigenomics · doi:10.2217/epi-2018-0029 · Cited by 18
Ye, Y., Mastwal, S. S., Cao, V. Y., Ren, M., Liu, Q., Zhang, W., ELKAHLOUN, A. G., & Wang, K. H. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw181 · Cited by 17
Sabaie, H., Gharesouran, J., Asadi, M. R., Farhang, S., Ahangar, N. K., Brand, S., Arsang‐Jang, S., Dastar, S., Taheri, M. N., & Rezazadeh, M. (2022) · Metabolic Brain Disease · doi:10.1007/s11011-022-00918-5 · Cited by 17
Kim, W., Shin, J. J., Jeong, Y. J., Kim, K., Bae, J. W., Noh, Y. W., Lee, S., Choi, W., Paik, S., Jung, M. W., et al. (2022) · eLife · doi:10.7554/elife.74998 · Cited by 17
Colvin, S. M., & Kwan, K. Y. (2014) · Frontiers in Genetics · doi:10.3389/fgene.2014.00239 · Cited by 17
Cantor, R. M., Navarro, L., Won, H., Walker, R. L., Lowe, J. K., & Geschwind, D. H. (2017) · Molecular Psychiatry · doi:10.1038/mp.2017.114 · Cited by 17
RCL1 copy number variants are associated with a range of neuropsychiatric phenotypes
Brownstein, C. A., Smith, R. S., Rodan, L. H., Gorman, M., Hojlo, M. A., Garvey, E. A., Li, J., Cabral, K., Bowen, J. J., Rao, A. S., et al. (2021) · Molecular Psychiatry · doi:10.1038/s41380-021-01035-y · Cited by 17
Advances in Proteomics Allow Insights Into Neuronal Proteomes
Fingleton, E., Li, Y., & Roche, K. W. (2021) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2021.647451 · Cited by 17
Paternoster, V., Edhager, A. V., Qvist, P., Donskov, J. G., Shliaha, P. V., Jensen, O. N., Mors, O. N., Nielsen, A. L., Børglum, A. D., Palmfeldt, J., et al. (2021) · Molecular Neurobiology · doi:10.1007/s12035-021-02432-8 · Cited by 17
Vasić, V., Jones, M. S. O., Haslinger, D., Knaus, L. S., Schmeißer, M. J., Novarino, G., & Chiocchetti, A. G. (2021) · Genes · doi:10.3390/genes12111746 · Cited by 17
Genetic markers of white matter integrity in schizophrenia revealed by parallel ICA
Gupta, C. N., Chen, J., Liu, J., Damaraju, E., Wright, C., Perrone‐Bizzozero, N. I., Pearlson, G. D., Luo, L., Michael, A. M., Turner, J. A., et al. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2015.00100 · Cited by 17
BDNF rescues prefrontal dysfunction elicited by pyramidal neuron-specific DTNBP1 deletion in vivo
Zhang, W., Daly, K. M., Liang, B., Zhang, L., Li, X., Li, Y., & Lin, D. (2016) · Journal of Molecular Cell Biology · doi:10.1093/jmcb/mjw029 · Cited by 17
Hervig, M. E.-S., Thomsen, M. S., Kalló, I., & Mikkelsen, J. D. (2016) · Neuroscience · doi:10.1016/j.neuroscience.2016.07.028 · Cited by 17
Hnoonual, A., Sripo, T., & Limprasert, P. (2016) · Psychiatric Genetics · doi:10.1097/ypg.0000000000000153 · Cited by 17
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Dyrvig, M., Qvist, P., Lichota, J., Larsen, K., Nyegaard, M., Børglum, A. D., & Christensen, J. (2017) · PLoS ONE · doi:10.1371/journal.pone.0170121 · Cited by 17
Shi, Z., Piccus, Z., Zhang, X., Yang, H., Jarrell, H., Ding, Y., Teng, Z., Tchernichovski, O., & Li, X.-C. (2018) · eLife · doi:10.7554/elife.29087 · Cited by 17
Michaelovsky, E., Carmel, M., Frisch, A., Salmon‐Divon, M., Pasmanik, M., Weizman, A., & Gothelf, D. (2019) · Translational Psychiatry · doi:10.1038/s41398-018-0354-9 · Cited by 17
Uezato, A., Yamamoto, N., Jitoku, D., Haramo, E., Hiraaki, E., Iwayama, Y., Toyota, T., Umino, M., Umino, A., Iwata, Y., et al. (2017) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.32595 · Cited by 17
Driesche, S. J. V., Sawicka, K., Zhang, C., Hung, K. Y. S., Park, C. Y., Fak, J. J., Yang, C., Darnell, R. B., & Darnell, J. C. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/762500 · Cited by 17
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Mastwal, S. S., Cao, V. Y., & Wang, K. H. (2016) · Frontiers in Neural Circuits · doi:10.3389/fncir.2016.00100 · Cited by 16
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Collier, D. A., Eastwood, B. J., Malki, K., & Mokrab, Y. (2016) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.13066 · Cited by 16
González‐Peñas, J., Costas, J., Villamayor, M. J. G., & Xu, B. (2018) · Neurobiology of Disease · doi:10.1016/j.nbd.2018.10.013 · Cited by 16
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Hedde, P. N., Malacrida, L. S., Baryłko, B., Binns, D. D., Albanesi, J. P., & Jameson, D. M. (2021) · Frontiers in Molecular Biosciences · doi:10.3389/fmolb.2021.630625 · Cited by 16
Morozova, A. Y., Zorkina, Y., Павлов, К. А., Pavlova, O., Abramova, O. V., Ushakova, V. M., Mudrak, A. V., Zozulya, S. A., Otman, I. N., Sarmanova, Z. V., et al. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.655178 · Cited by 16
Liu, Y., Qu, H., Chang, X., Tian, L., Glessner, J., Abou‐Sleiman, P. M., & Hakonarson, H. H. (2022) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2022.797329 · Cited by 16
Brennand, K. (2022) · American Journal of Psychiatry · doi:10.1176/appi.ajp.20220235 · Cited by 16
Veleanu, M., Urrieta-Chávez, B., Sigoillot, S. M., Paul, M. A., Usardi, A., Iyer, K., Delagrange, M., Doyle, J., Heintz, N., Bécamel, C., et al. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2122544119 · Cited by 16
Sebastian, R., Song, Y., & Pak, C. (2022) · Schizophrenia Research · doi:10.1016/j.schres.2022.06.028 · Cited by 16
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Taylor, J., de Vries, Y. A., van Loo, H. M., & Kendler, K. S. (2022) · Molecular Psychiatry · doi:10.1038/s41380-022-01850-x · Cited by 16
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Nutt, D., & Need, A. C. (2014) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2014.05.012 · Cited by 16
Investigation of the role of TCF4 rare sequence variants in schizophrenia
Basmanav, F. B., Forstner, A. J., Fier, H. L., Herms, S., Meier, S., Degenhardt, F., Hoffmann, P., Barth, S., Fricker, N., Strohmaier, J., et al. (2015) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.32318 · Cited by 16
Sasaki, M. M., Skol, A. D., Hungate, E. A., Bao, R., Huang, L., Kahn, S. A., Allan, J. M., Brant, S. R., McGovern, D. P. B., Peter, I., et al. (2015) · Inflammatory Bowel Diseases · doi:10.1097/mib.0000000000000610 · Cited by 16
South, S. C., Hamdi, N. R., & Krueger, R. F. (2015) · Journal of Personality · doi:10.1111/jopy.12231 · Cited by 16
Dysbindin-Associated Proteome in the P2 Synaptosome Fraction of Mouse Brain
Han, M.-H., Hu, Z., Chen, C. Y., Chen, Y., Guček, M., Li, Z., & Markey, S. P. (2014) · Journal of Proteome Research · doi:10.1021/pr500656z · Cited by 16
Gaynor, S. C., Breen, M. E., Monson, E. T., de Klerk, K., Parsons, M. G., DeLuca, A. P., Scheetz, T. E., Zandi, P. P., Potash, J. B., & Willour, V. L. (2016) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.32479 · Cited by 16
Assessment of Whole-Exome Sequence Data in Attempted Suicide within a Bipolar Disorder Cohort
Monson, E. T., Pirooznia, M., Parla, J. S., Kramer, M., Goes, F. S., Gaine, M. E., Gaynor, S. C., de Klerk, K., Jancic, D., Karchin, R., et al. (2017) · Complex Psychiatry · doi:10.1159/000454773 · Cited by 16
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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