<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE root>
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" article-type="other" dtd-version="1.2" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">Russian Journal of Genetics</journal-id><journal-title-group><journal-title xml:lang="en">Russian Journal of Genetics</journal-title><trans-title-group xml:lang="ru"><trans-title>Генетика</trans-title></trans-title-group></journal-title-group><issn publication-format="print">0016-6758</issn><issn publication-format="electronic">3034-5103</issn><publisher><publisher-name xml:lang="en">The Russian Academy of Sciences</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">666842</article-id><article-id pub-id-type="doi">10.31857/S0016675823060024</article-id><article-id pub-id-type="edn">SRPBKR</article-id><article-categories><subj-group subj-group-type="toc-heading"><subject>ГЕНЕТИКА ЧЕЛОВЕКА</subject></subj-group><subj-group subj-group-type="article-type"><subject></subject></subj-group></article-categories><title-group><article-title xml:lang="en">Analysis of Genetic Factors of Sporadic Schizophrenia in Family Trios Using Whole Genome Sequencing</article-title><trans-title-group xml:lang="ru"><trans-title>Анализ генетических факторов спорадических случаев шизофрении в семейных трио с использованием метода полногеномного секвенирования</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><name-alternatives><name xml:lang="en"><surname>Andreeva</surname><given-names>T. V.</given-names></name><name xml:lang="ru"><surname>Андреева</surname><given-names>Т. В.</given-names></name></name-alternatives><email>an_tati@vigg.ru</email><xref ref-type="aff" rid="aff1"/><xref ref-type="aff" rid="aff2"/></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="en"><surname>Afanasiev</surname><given-names>Ph. A.</given-names></name><name xml:lang="ru"><surname>Афанасьев</surname><given-names>Ф. А.</given-names></name></name-alternatives><email>evgeny.rogaev@umassmed.edu</email><xref ref-type="aff" rid="aff2"/></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="en"><surname>Gusev</surname><given-names>F. E.</given-names></name><name xml:lang="ru"><surname>Гусев</surname><given-names>Ф. Е.</given-names></name></name-alternatives><email>evgeny.rogaev@umassmed.edu</email><xref ref-type="aff" rid="aff2"/><xref ref-type="aff" rid="aff3"/></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="en"><surname>Patrikeev</surname><given-names>A. D.</given-names></name><name xml:lang="ru"><surname>Патрикеев</surname><given-names>А. Д.</given-names></name></name-alternatives><email>evgeny.rogaev@umassmed.edu</email><xref ref-type="aff" rid="aff2"/></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="en"><surname>Kunizheva</surname><given-names>S. S.</given-names></name><name xml:lang="ru"><surname>Кунижева</surname><given-names>С. С.</given-names></name></name-alternatives><email>evgeny.rogaev@umassmed.edu</email><xref ref-type="aff" rid="aff2"/><xref ref-type="aff" rid="aff3"/></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="en"><surname>Rogaev</surname><given-names>E. I.</given-names></name><name xml:lang="ru"><surname>Рогаев</surname><given-names>Е. И.</given-names></name></name-alternatives><email>evgeny.rogaev@umassmed.edu</email><xref ref-type="aff" rid="aff3"/><xref ref-type="aff" rid="aff4"/><xref ref-type="aff" rid="aff5"/></contrib></contrib-group><aff-alternatives id="aff1"><aff><institution xml:lang="en">Center for Genetics and Genetic Technologies, Faculty of Biology,
Moscow State University</institution></aff><aff><institution xml:lang="ru">Центр генетики и генетических технологий, Московский государственный университет 
им. М.В. Ломоносова</institution></aff></aff-alternatives><aff-alternatives id="aff2"><aff><institution xml:lang="en">Vavilov Institute of General Genetics, Russian Academy of Sciences</institution></aff><aff><institution xml:lang="ru">Институт общей генетики им. Н.И. Вавилова Российской академии наук</institution></aff></aff-alternatives><aff-alternatives id="aff3"><aff><institution xml:lang="en">Center for Genetics and Life Science, Sirius University of Science and Technology</institution></aff><aff><institution xml:lang="ru">Центр генетики и наук о жизни, Научно-технологический университет “Сириус”</institution></aff></aff-alternatives><aff-alternatives id="aff4"><aff><institution xml:lang="en">Moscow State University</institution></aff><aff><institution xml:lang="ru">Московский государственный университет им. М.В. Ломоносова</institution></aff></aff-alternatives><aff-alternatives id="aff5"><aff><institution xml:lang="en">Department of Psychiatry, UMass Chan Medical School</institution></aff><aff><institution xml:lang="ru">Медицинская школа Чан Массачусетского университета, департамент психиатрии</institution></aff></aff-alternatives><pub-date date-type="pub" iso-8601-date="2023-06-01" publication-format="electronic"><day>01</day><month>06</month><year>2023</year></pub-date><volume>59</volume><issue>6</issue><fpage>659</fpage><lpage>669</lpage><history><date date-type="received" iso-8601-date="2025-02-26"><day>26</day><month>02</month><year>2025</year></date></history><permissions><copyright-statement xml:lang="en">Copyright ©; 2023, Т.В. Андреева, Ф.А. Афанасьев, Ф.Е. Гусев, А.Д. Патрикеев, С.С. Кунижева, Е.И. Рогаев</copyright-statement><copyright-statement xml:lang="ru">Copyright ©; 2023, Т.В. Андреева, Ф.А. Афанасьев, Ф.Е. Гусев, А.Д. Патрикеев, С.С. Кунижева, Е.И. Рогаев</copyright-statement><copyright-year>2023</copyright-year><copyright-holder xml:lang="en">Т.В. Андреева, Ф.А. Афанасьев, Ф.Е. Гусев, А.Д. Патрикеев, С.С. Кунижева, Е.И. Рогаев</copyright-holder><copyright-holder xml:lang="ru">Т.В. Андреева, Ф.А. Афанасьев, Ф.Е. Гусев, А.Д. Патрикеев, С.С. Кунижева, Е.И. Рогаев</copyright-holder></permissions><self-uri xlink:href="https://transsyst.ru/0016-6758/article/view/666842">https://transsyst.ru/0016-6758/article/view/666842</self-uri><abstract xml:lang="en"><p id="idm45181323054352">Schizophrenia is a mental disorder, the hereditary nature of which has been confirmed by numerous studies. Currently, more than a hundred genetic loci associated with schizophrenia have been described, and rare variants in genes and chromosomal rearrangements associated with familial cases of the disease have also been identified. However, it is not always possible to determine the hereditary nature of the pathology, many cases of schizophrenia are sporadic, and the genetic cause of such cases remains unknown. Using whole genome sequencing data for three family trios from Russia with sporadic cases of schizophrenia, we searched for rare potentially pathogenic variants in the coding and regulatory loci of the genome, including <italic>de novo</italic> and compound mutations. The polygenic risk of schizophrenia was also assessed using common polymorphic markers. As a result of the analysis, the genetic heterogeneity of sporadic forms of schizophrenia was shown, as well as the potential role of rare substitutions in genes associated with the metabolism of glutamate and inositol phosphate in sporadic cases of schizophrenia.</p></abstract><trans-abstract xml:lang="ru"><p id="idm45181323051056">Шизофрения – распространенное психическое заболевание, наследственная природа которого подтверждена многочисленными исследованиями. В настоящее время выявлено более сотни генетических локусов, ассоциированных с шизофренией, также идентифицированы редкие варианты в генах и хромосомные перестройки, связанные с семейными случаями заболевания. Однако не всегда удается определить наследственную природу патологии, многие случаи шизофрении являются спорадическими, а генетическая причина таких случаев остается неизвестна. С использованием данных полногеномного секвенирования трех семейных трио российского происхождения со спорадическими формами шизофрении мы провели поиск редких потенциально патогенных вариантов в кодирующих и регуляторных локусах генома, включая <italic>de novo</italic> и компаундные мутации. Также провели оценку полигенного риска развития шизофрении с использованием распространенных полиморфных маркеров. В результате проведенного анализа были показаны генетическая гетерогенность спорадических форм шизофрении, а также потенциальный вклад редких замен в генах, связанных с метаболизмом глутамата и инозитолфосфата, в развитие спорадических случаев шизофрении.</p></trans-abstract><kwd-group xml:lang="en"><kwd>schizophrenia</kwd><kwd>whole genome sequencing</kwd><kwd>polygenic risk score</kwd><kwd><italic>de novo</italic> variants.</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>шизофрения</kwd><kwd>полногеномное секвенирование</kwd><kwd>полигенный риск</kwd><kwd><italic>de novo</italic> варианты.</kwd></kwd-group></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><mixed-citation>Owen M.J., Sawa A., Mortensen P.B. Schizophrenia // Lancet (London, England). 2016. V. 388. № 10039. P. 86. https://doi.org/10.1016/S0140-6736(15)01121-6</mixed-citation></ref><ref id="B2"><label>2.</label><mixed-citation>Ripke S., Neale B.M., Corvin A. et al. Biological insights from 108 schizophrenia-associated genetic loci // Nature. 2014. V. 511. № 7510. P. 421–427. https://doi.org/10.1038/nature13595</mixed-citation></ref><ref id="B3"><label>3.</label><mixed-citation>Goes F.S., Mcgrath J., Avramopoulos D. et al. Genome-wide association study of schizophrenia in Ashkenazi Jews // Am. J. Med. Genet. B. Neuropsychiatr. Genet. 2015. V. 168. № 8. P. 649–659. https://doi.org/10.1002/AJMG.B.32349</mixed-citation></ref><ref id="B4"><label>4.</label><mixed-citation>Ikeda M., Takahashi A., Kamatani Y. et al. Genome-wide association study detected novel susceptibility genes for schizophrenia and shared trans-populations diseases genetic effect // Schizophr. Bull. 2019. V. 45. № 4. P. 824–834. https://doi.org/10.1093/SCHBUL/SBY140</mixed-citation></ref><ref id="B5"><label>5.</label><mixed-citation>Li Z., Chen J., Yu H. et al. Genome-wide association analysis identifies 30 new susceptibility loci for schizophrenia // Nat. Genet. 2017. V. 49. № 11. P. 1576–1583. https://doi.org/10.1038/NG.3973</mixed-citation></ref><ref id="B6"><label>6.</label><mixed-citation>Martin A.R., Daly M.J., Robinson E.B. et al. Predicting polygenic risk of psychiatric disorders // Biol. Psychiatry. 2019. V. 86. № 2. P. 97–109. https://doi.org/10.1016/J.BIOPSYCH.2018.12.015</mixed-citation></ref><ref id="B7"><label>7.</label><mixed-citation>Kendler K.S. The schizophrenia polygenic risk score: to what does it predispose in adolescence? // JAMA Psychiatry. 2016. V. 73. № 3. P. 193–194. https://doi.org/10.1001/JAMAPSYCHIATRY.2015.2964</mixed-citation></ref><ref id="B8"><label>8.</label><mixed-citation>Kato H., Kimura H., Kushima I. et al. The genetic architecture of schizophrenia: Review of large-scale genetic studies // J. Hum. Genet. 2023. V. 68. P. 175–182. https://doi.org/10.1038/S10038-022-01059-4</mixed-citation></ref><ref id="B9"><label>9.</label><mixed-citation>Farrell M., Dietterich T.E., Harner M.K. et al. Increased prevalence of rare copy number variants in treatment-resistant psychosis // Schizophr. Bull. 2022. https://doi.org/10.1093/SCHBUL/SBAC175</mixed-citation></ref><ref id="B10"><label>10.</label><mixed-citation>Wu Y., Liu X., Luo H. et al. Advanced paternal age increases the risk of schizophrenia and obsessive-compulsive disorder in a Chinese Han population // Psychiatry Res. 2012. V. 198. № 3. P. 353. https://doi.org/10.1016/J.PSYCHRES.2012.01.020</mixed-citation></ref><ref id="B11"><label>11.</label><mixed-citation>Khachadourian V., Zaks N., Lin E. et al. Advanced paternal age and risk of schizophrenia in offspring–review of epidemiological findings and potential mechanisms // Schizophr. Res. 2021. V. 233. P. 72. https://doi.org/10.1016/J.SCHRES.2021.06.016</mixed-citation></ref><ref id="B12"><label>12.</label><mixed-citation>Li H., Durbin R. Fast and accurate short read alignment with Burrows-Wheeler transform // Bioinformatics. 2009. V. 25. № 14. P. 1754–1760. https://doi.org/10.1093/bioinformatics/btp324</mixed-citation></ref><ref id="B13"><label>13.</label><mixed-citation>McKenna A., Hanna M., Banks E. et al. The genome analysis toolkit: A MapReduce framework for analyzing next-generation DNA sequencing data // Genome Res. 2010. V. 20. № 9. P. 1297–1303. https://doi.org/10.1101/gr.107524.110</mixed-citation></ref><ref id="B14"><label>14.</label><mixed-citation>McLaren W., Gil L., Hunt S.E. et al. The ensembl variant effect predictor // Genome Biol. 2016. V. 17. № 1. P. 1–14. https://doi.org/10.1186/S13059-016-0974-4</mixed-citation></ref><ref id="B15"><label>15.</label><mixed-citation>Adzhubei I.A., Schmidt S., Peshkin L. et al. A method and server for predicting damaging missense mutations // Nat. Methods. 2010. V. 7. № 4. P. 248–249. https://doi.org/10.1038/nmeth0410-248</mixed-citation></ref><ref id="B16"><label>16.</label><mixed-citation>Kumar P., Henikoff S., Ng P.C. Predicting the effects of coding non-synonymous variants on protein function using the SIFT algorithm // Nat. Protoc. 2009. V. 4. № 7. P. 1073–1081. https://doi.org/10.1038/nprot.2009.86</mixed-citation></ref><ref id="B17"><label>17.</label><mixed-citation>Chiang C., Layer R.M., Faust G.G. et al. SpeedSeq: Ultra-fast personal genome analysis and interpretation // Nat. Methods. 2015. V. 12. № 10. P. 966–968. https://doi.org/10.1038/nmeth.3505</mixed-citation></ref><ref id="B18"><label>18.</label><mixed-citation>Michaelson J.J., Sebat J. ForestSV: Structural variant discovery through statistical learning // Nat. Methods. 2012. V. 9. № 8. P. 819–821. https://doi.org/10.1038/nmeth.2085</mixed-citation></ref><ref id="B19"><label>19.</label><mixed-citation>Antaki D., Brandler W.M., Sebat J. SV2: Accurate structural variation genotyping and de novo mutation detection from whole genomes // Bioinformatics. 2018. V. 34. № 10. P. 1774–1777. https://doi.org/10.1093/BIOINFORMATICS/BTX813</mixed-citation></ref><ref id="B20"><label>20.</label><mixed-citation>Sanchez J.J., Phillips C., Børsting C. et al. A multiplex assay with 52 single nucleotide polymorphisms for human identification // Electrophoresis. 2006. V. 27. № 9. P. 1713–1724. https://doi.org/10.1002/elps.200500671</mixed-citation></ref><ref id="B21"><label>21.</label><mixed-citation>Buniello A., Macarthur J.A.L., Cerezo M. et al. The NHGRI-EBI GWAS Catalog of published genome-wide association studies, targeted arrays and summary statistics 2019 // Nucl. Acids Res. 2019. V. 47. № D1. P. D1005–D1012. https://doi.org/10.1093/NAR/GKY1120</mixed-citation></ref><ref id="B22"><label>22.</label><mixed-citation>Sudmant P.H., Rausch T., Gardner E.J. et al. An integrated map of structural variation in 2,504 human genomes // Nature. 2015. V. 526. № 7571. P. 75–81. https://doi.org/10.1038/nature15394</mixed-citation></ref><ref id="B23"><label>23.</label><mixed-citation>Purcell S.M., Moran J.L., Fromer M. et al. A polygenic burden of rare disruptive mutations in schizophrenia // Nature. 2014. V. 506. № 7487. P. 185–190. https://doi.org/10.1038/nature12975</mixed-citation></ref><ref id="B24"><label>24.</label><mixed-citation>Roach J.C., Glusman G., Smit A.F.A. et al. Analysis of genetic inheritance in a family quartet by whole genome sequencing // Science. 2010. V. 328. № 5978. P. 636. https://doi.org/10.1126/SCIENCE.1186802</mixed-citation></ref><ref id="B25"><label>25.</label><mixed-citation>Brandler W.M., Antaki D., Gujral M. et al. Frequency and complexity of de novo structural mutation in autism // Am. J. Hum. Genet. 2016. V. 98. № 4. P. 667–679. https://doi.org/10.1016/J.AJHG.2016.02.018</mixed-citation></ref><ref id="B26"><label>26.</label><mixed-citation>Robinson P., Zemo jtel T. Integrative genomics viewer (IGV): Visualizing alignments and variants // Computational Exome and Genome Analysis. 2018. P. 233–245. https://doi.org/10.1201/9781315154770-17</mixed-citation></ref><ref id="B27"><label>27.</label><mixed-citation>Zhou J., Troyanskaya O.G. Predicting effects of noncoding variants with deep learning-based sequence model // Nat. Methods. 2015. V. 12. № 10. P. 931–934. https://doi.org/10.1038/nmeth.3547</mixed-citation></ref><ref id="B28"><label>28.</label><mixed-citation>Kulakovskiy I.V., Vorontsov I.E., Yevshin I.S. et al. HOCOMOCO: Expansion and enhancement of the collection of transcription factor binding sites models // Nucl. Acids Res. 2016. V. 44. № D1. P. D116–D125. https://doi.org/10.1093/NAR/GKV1249</mixed-citation></ref><ref id="B29"><label>29.</label><mixed-citation>Rosen N., Chalifa-Caspi V., Shmueli O. et al. GeneLoc: Exon-based integration of human genome maps // Bioinformatics. 2003. V. 19. Suppl. 1. https://doi.org/10.1093/BIOINFORMATICS/BTG1030</mixed-citation></ref><ref id="B30"><label>30.</label><mixed-citation>Carbon S., Dietze H., Lewis S.E. et al. Expansion of the gene ontology knowledgebase and resources // Nucl. Acids Res. 2017. V. 45. № D1. P. D331–D338. https://doi.org/10.1093/NAR/GKW1108</mixed-citation></ref><ref id="B31"><label>31.</label><mixed-citation>Rappaport N., Twik M., Plaschkes I. et al. MalaCards: An amalgamated human disease compendium with diverse clinical and genetic annotation and structured search // Nucl. Acids Res. 2017. V. 45. № D1. P. D877–D887. https://doi.org/10.1093/NAR/GKW1012</mixed-citation></ref><ref id="B32"><label>32.</label><mixed-citation>Ashburner M., Ball C.A., Blake J.A. et al. Gene ontology: tool for the unification of biology. The Gene Ontology Consortium // Nat. Genet. 2000. V. 25. № 1. P. 25–29. https://doi.org/10.1038/75556</mixed-citation></ref><ref id="B33"><label>33.</label><mixed-citation>Lonsdale J., Thomas J., Salvatore M. et al. The Genotype-Tissue Expression (GTEx) project // Nat. Genet. 2013. V. 45. № 6. P. 580–585. https://doi.org/10.1038/NG.2653</mixed-citation></ref><ref id="B34"><label>34.</label><mixed-citation>Untergasser A., Cutcutache I., Koressaar T. et al. Primer3–new capabilities and interfaces // Nucl. Acids Res. 2012. V. 40. № 15. P. e115. https://doi.org/10.1093/nar/gks596</mixed-citation></ref><ref id="B35"><label>35.</label><mixed-citation>Lappalainen I., Thusberg J., Shen B., Vihinen M. Genome wide analysis of pathogenic SH2 domain mutations // Proteins. 2008. V. 72. № 2. P. 779–792. https://doi.org/10.1002/PROT.21970</mixed-citation></ref><ref id="B36"><label>36.</label><mixed-citation>Glessner J.T., Reilly M.P., Kim C.E. et al. Strong synaptic transmission impact by copy number variations in schizophrenia // Proc. Natl Acad. Sci. USA. 2010. V. 107. № 23. P. 10584–10589. https://doi.org/10.1073/PNAS.1000274107/SUPPL_FILE/PNAS.201000274SI.PDF</mixed-citation></ref><ref id="B37"><label>37.</label><mixed-citation>De Bruijn S.E., Verbakel S.K., De Vrieze E. et al. Homozygous variants in KIAA1549, encoding a ciliary protein, are associated with autosomal recessive retinitis pigmentosa // J. Med. Genet. 2018. V. 55. № 10. P. 705–712. https://doi.org/10.1136/JMEDGENET-2018-105364</mixed-citation></ref><ref id="B38"><label>38.</label><mixed-citation>Greenwood T.A., Lazzeroni L.C., Murray S.S. et al. Analysis of 94 candidate genes and 12 endophenotypes for schizophrenia from the Consortium on the Genetics of Schizophrenia // Am. J. Psychiatry. 2011. V. 168. № 9. P. 930–946. https://doi.org/10.1176/APPI.AJP.2011.10050723</mixed-citation></ref><ref id="B39"><label>39.</label><mixed-citation>Lohoff F.W. Genetic variants in the vesicular monoamine transporter 1 (VMAT1/SLC18A1) and neuropsychiatric disorders // Methods Mol. Biol. 2010. V. 637. P. 165–180. https://doi.org/10.1007/978-1-60761-700-6_9</mixed-citation></ref><ref id="B40"><label>40.</label><mixed-citation>Sato D.X., Kawata M. Positive and balancing selection on SLC18A1 gene associated with psychiatric disorders and human-unique personality traits // EV. Lett. 2018. V. 2. № 5. P. 499–510. https://doi.org/10.1002/EVL3.81</mixed-citation></ref><ref id="B41"><label>41.</label><mixed-citation>Schumacher J., Laje G., Jamra R.A. et al. The DISC locus and schizophrenia: Evidence from an association study in a central European sample and from a meta-analysis across different European populations // Hum. Mol. Genet. 2009. V. 18. № 14. P. 2719–2727. https://doi.org/10.1093/HMG/DDP204</mixed-citation></ref><ref id="B42"><label>42.</label><mixed-citation>Nicodemus K.K., Callicott J.H., Higier R.G. et al. Evidence of statistical epistasis between DISC1, CIT and NDEL1 impacting risk for schizophrenia: Biological validation with functional neuroimaging // Hum. Genet. 2010. V. 127. № 4. P. 441–452. https://doi.org/10.1007/S00439-009-0782-Y/FIGURES/5</mixed-citation></ref><ref id="B43"><label>43.</label><mixed-citation>Cryns K., Sivakumaran T.A., Van den Ouweland J.M.W. et al. Mutational spectrum of the WFS1 gene in Wolfram syndrome, nonsyndromic hearing impairment, diabetes mellitus, and psychiatric disease // Hum. Mutat. 2003. V. 22. № 4. P. 275–287. https://doi.org/10.1002/HUMU.10258</mixed-citation></ref><ref id="B44"><label>44.</label><mixed-citation>Munshani S., Ibrahim E.Y., Domenicano I., Ehrlich B.E. The impact of mutations in wolframin on psychiatric disorders // Front. Pediatr. 2021. V. 9. https://doi.org/10.3389/FPED.2021.718132</mixed-citation></ref><ref id="B45"><label>45.</label><mixed-citation>Zhao Q., Li T., Zhao X. et al. Rare CNVs and Tag SNPs at 15q11.2 are associated with schizophrenia in the Han Chinese population // Schizophr. Bull. 2013. V. 39. № 3. P. 712. https://doi.org/10.1093/SCHBUL/SBR197</mixed-citation></ref><ref id="B46"><label>46.</label><mixed-citation>Kim N.S., Ringeling F.R., Zhou Y. et al. CYFIP1 dosages exhibit divergent behavioral impact via diametric regulation of NMDA receptor complex translation in mouse models of psychiatric disorders // Biol. Psychiatry. 2022. V. 92. № 10. P. 815–826. https://doi.org/10.1016/J.BIOPSYCH.2021.04.023</mixed-citation></ref><ref id="B47"><label>47.</label><mixed-citation>Davenport E.C., Szulc B.R., Drew J. et al. Autism and schizophrenia-associated CYFIP1 regulates the balance of synaptic excitation and inhibition // Cell Rep. 2019. V. 26. № 8. P. 2037–2051. e6. https://doi.org/10.1016/J.CELREP.2019.01.092</mixed-citation></ref><ref id="B48"><label>48.</label><mixed-citation>Cho H.P., Garcia-Barrantes P.M., Brogan J.T. et al. Chemical modulation of mutant mGlu1 receptors derived from deleterious GRM1 mutations found in schizophrenics // ACS Chem. Biol. 2014. V. 9. № 10. P. 2334–2346. https://doi.org/10.1021/CB500560H</mixed-citation></ref><ref id="B49"><label>49.</label><mixed-citation>Ayoub M.A., Angelicheva D., Vile D. et al. Deleterious GRM1 mutations in schizophrenia // PLoS One. 2012. V. 7. № 3. P. c32849. https://doi.org/10.1371/JOURNAL.PONE.0032849</mixed-citation></ref><ref id="B50"><label>50.</label><mixed-citation>Hirata Y., Zai C.C., Souza R.P. et al. Association study of GRIK1 gene polymorphisms in schizophrenia: case-control and family-based studies // Hum. Psychopharmacol. 2012. V. 27. № 4. P. 345–351. https://doi.org/10.1002/HUP.2233</mixed-citation></ref><ref id="B51"><label>51.</label><mixed-citation>Costain G., Lionel A.C., Merico D. et al. Pathogenic rare copy number variants in community-based schizophrenia suggest a potential role for clinical microarrays // Hum. Mol. Genet. 2013. V. 22. № 22. P. 4485–4501. https://doi.org/10.1093/HMG/DDT297</mixed-citation></ref><ref id="B52"><label>52.</label><mixed-citation>Hu W., Macdonald M.L., Elswick D.E., Sweet R.A. The glutamate hypothesis of schizophrenia: Evidence from human brain tissue studies // Ann. N. Y. Acad. Sci. 2015. V. 1338. № 1. P. 38–57. https://doi.org/10.1111/NYAS.12547</mixed-citation></ref><ref id="B53"><label>53.</label><mixed-citation>Curtis D. Polygenic risk score for schizophrenia is more strongly associated with ancestry than with schizophrenia // Psychiatr. Genet. 2018. V. 28. № 5. P. 85–89. https://doi.org/10.1097/YPG.0000000000000206</mixed-citation></ref><ref id="B54"><label>54.</label><mixed-citation>Landi I., Kaji D.A., Cotter L. et al. Prognostic value of polygenic risk scores for adults with psychosis // Nat. Med. 2021. V. 27. № 9. P. 1576–1581. https://doi.org/10.1038/s41591-021-01475-7</mixed-citation></ref><ref id="B55"><label>55.</label><mixed-citation>Shimon H., Sobolev Y., Davidson M. et al. Inositol levels are decreased in postmortem brain of schizophrenic patients // Biol. Psychiatry. 1998. V. 44. № 6. P. 428–432. https://doi.org/10.1016/S0006-3223(98)00071-7</mixed-citation></ref><ref id="B56"><label>56.</label><mixed-citation>Arranz B., Rosel P., San L. et al. Low baseline serotonin-2A receptors predict clinical response to olanzapine in first-episode schizophrenia patients // Psychiatry Res. 2007. V. 153. № 2. P. 103–109. https://doi.org/10.1016/J.PSYCHRES.2006.12.015</mixed-citation></ref></ref-list></back></article>
