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<article article-type="research-article" dtd-version="1.3" 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" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">ppharm</journal-id><journal-title-group><journal-title xml:lang="ru">Педиатрическая фармакология</journal-title><trans-title-group xml:lang="en"><trans-title>Pediatric pharmacology</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1727-5776</issn><issn pub-type="epub">2500-3089</issn><publisher><publisher-name>Издательство «ПедиатрЪ»</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.15690/pf.v22i6.2981</article-id><article-id custom-type="elpub" pub-id-type="custom">ppharm-2733</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>ОБЗОР ЛИТЕРАТУРЫ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>REVIEW</subject></subj-group></article-categories><title-group><article-title>Перспективы использования мультиомиксных технологий в изучении расстройств аутистического спектра</article-title><trans-title-group xml:lang="en"><trans-title>Multi-Omics Technologies Perspectives in Studying of Autism Spectrum Disorders</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-3167-082X</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Устинова</surname><given-names>Н. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Ustinova</surname><given-names>Natalia V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Устинова Наталия Вячеславовна - доктор медицинских наук, заведующая отделом социальной педиатрии и организации мультидисциплинарного сопровождения НИИ педиатрии и охраны здоровья детей НКЦ №2 ФГБНУ «РНЦХ им. акад. Б.В. Петровского».</p><p>119333, Москва, ул. Фотиевой, д. 10, стр. 1, тел.: +7 (499) 137-01-97</p></bio><bio xml:lang="en"><p>MD, PhD.</p><p>10, Fotieva Str., building 1, Moscow, 119333</p></bio><email xlink:type="simple">ust-doctor@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0009-0001-0440-2715</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Горбунова</surname><given-names>Е. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Gorbunova</surname><given-names>Elena A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Горбунова Елена Алексеевна - к.м.н.</p><p>Москва</p></bio><bio xml:lang="en"><p>MD, PhD.</p><p>Moscow</p></bio><email xlink:type="simple">lema020817@gmail.com</email><xref ref-type="aff" rid="aff-2"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>НИИ педиатрии и охраны здоровья детей НКЦ №2 ФГБНУ «РНЦХ им. акад. Б.В. Петровского»; Научно-практический центр психического здоровья детей и подростков им. Г.Е. Сухаревой</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Pediatrics and Child Health Research Institute in Petrovsky National Research Centre of Surgery; Scientific and Practical Center for Mental Health of Children and Adolescents named after G.E. Sukhareva</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>НИИ педиатрии и охраны здоровья детей НКЦ №2 ФГБНУ «РНЦХ им. акад. Б.В. Петровского»</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Pediatrics and Child Health Research Institute in Petrovsky National Research Centre of Surgery</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2025</year></pub-date><pub-date pub-type="epub"><day>20</day><month>01</month><year>2026</year></pub-date><volume>22</volume><issue>6</issue><fpage>727</fpage><lpage>731</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Устинова Н.В., Горбунова Е.А., 2026</copyright-statement><copyright-year>2026</copyright-year><copyright-holder xml:lang="ru">Устинова Н.В., Горбунова Е.А.</copyright-holder><copyright-holder xml:lang="en">Ustinova N.V., Gorbunova E.A.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://www.pedpharma.ru/jour/article/view/2733">https://www.pedpharma.ru/jour/article/view/2733</self-uri><abstract><p>Расстройства аутистического спектра (РАС) — группа расстройств психологического развития, характеризующаяся высокой гетерогенностью как фенотипических, так и лежащих в их основе биологических механизмов. На сегодняшний день нет единой концепции этиологии и патогенеза РАС, однако во многих исследованиях говорится о комплексном воздействии генетических, эпигенетических и экспосомальных факторов на нарушение нейроразвития у детей. Несмотря на активное изучение проблемы аутизма, в настоящее время терапевтические подходы при РАС являются симптоматическими. Высокая степень этиопатогенетических и клинических различий диктует необходимость поиска новых методов исследования аутизма. Рост количества людей с РАС во всем мире в последние десятилетия, трудности ранней диагностики, своевременной постановки диагноза и терапии требуют более глубокого, всестороннего изучения проблемы РАС с применением инновационных методов исследования. Настоящий обзор посвящен мультиомике — интегративному подходу к анализу данных, полученных с применением высокотехнологичных омиксных исследований (геномики, транскриптомики, эпигеномики, протеомики, метаболомики и микробиомики), применение которого даст возможность лучше понять этиопатогенетические механизмы развития и разработать персонализированные стратегии диагностики и лечения аутизма.</p></abstract><trans-abstract xml:lang="en"><p>Autism spectrum disorders (ASD) are a group of psychological development disorders characterized by high heterogeneity of phenotypical and underlying biological mechanisms. To this date, there is no single concept of ASD etiology and pathogenesis; however, many studies discuss complex impact of genetic, epigenetiс, and exposomal factors on impaired neurodevelopment in children. Currently therapeutic approaches for ASD are symptomatic despite the dynamic research of autism issue. The high degree of etiopathogenetic and clinical differences dictates the need to find new methods for studying autism. Increasing number of people with ASD worldwide in recent decades, challenging early diagnosis, timely diagnosis and therapy require deeper, comprehensive study of ASD with innovative research methods. This review focuses on multi-omics — integrative approach to analysis of data obtained via high-tech omix studies (genomics, transcriptomics, epigenomics, proteomics, metabolomics, and microbiomics). Its implementation will provide the opportunity for better understanding of etiopathogenetic mechanisms and development of personalized strategies for autism diagnosis and management.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>расстройства аутистического спектра</kwd><kwd>омиксные технологии</kwd><kwd>мультиомика</kwd><kwd>интегративный подход</kwd><kwd>геномика</kwd><kwd>метаболомика</kwd><kwd>протеомика</kwd><kwd>транскриптомика</kwd><kwd>микробиомика</kwd><kwd>эпигенетика</kwd></kwd-group><kwd-group xml:lang="en"><kwd>autism spectrum disorders</kwd><kwd>omics technologies</kwd><kwd>multi-omics</kwd><kwd>integrative approach</kwd><kwd>genomics</kwd><kwd>metabolomics</kwd><kwd>proteomics</kwd><kwd>transcriptomics</kwd><kwd>microbiomics</kwd><kwd>epigenetics</kwd></kwd-group><funding-group><funding-statement xml:lang="ru">Отсутствует</funding-statement><funding-statement xml:lang="en">Not specified</funding-statement></funding-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Grove J, Ripke S, Als TD, et al. Identification of common genetic risk variants for autism spectrum disorder. Nat Genet. 2019;51(3):431–444. doi: https://doi.org/10.1038/s41588-019-0344-8</mixed-citation><mixed-citation xml:lang="en">Grove J, Ripke S, Als TD, et al. Identification of common genetic risk variants for autism spectrum disorder. Nat Genet. 2019;51(3):431–444. doi: https://doi.org/10.1038/s41588-019-0344-8</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">Lord C, Elsabbagh M, Baird G, Veenstra-Vanderweele J. Autism spectrum disorder. Lancet. 2018;392(10146):508–520. doi: https://doi.org/10.1016/S0140-6736(18)31129-2</mixed-citation><mixed-citation xml:lang="en">Lord C, Elsabbagh M, Baird G, Veenstra-Vanderweele J. Autism spectrum disorder. Lancet. 2018;392(10146):508–520. doi: https://doi.org/10.1016/S0140-6736(18)31129-2</mixed-citation></citation-alternatives></ref><ref id="cit3"><label>3</label><citation-alternatives><mixed-citation xml:lang="ru">Satterstrom FK, Kosmicki JA, Wang J, et al. Exome Sequencing Study Implicates Both Developmental and Functional Changes in the Neurobiology of Autism. Cell. 2020;180(3):568–584.e23. doi: https://doi.org/10.1016/j.cell.2019.12.036</mixed-citation><mixed-citation xml:lang="en">Satterstrom FK, Kosmicki JA, Wang J, et al. Exome Sequencing Study Implicates Both Developmental and Functional Changes in the Neurobiology of Autism. Cell. 2020;180(3):568–584.e23. doi: https://doi.org/10.1016/j.cell.2019.12.036</mixed-citation></citation-alternatives></ref><ref id="cit4"><label>4</label><citation-alternatives><mixed-citation xml:lang="ru">Higdon R, Earl RK, Stanberry L, et al. The promise of multi-omics and clinical data integration to identify and target personalized healthcare approaches in autism spectrum disorders. OMICS. 2015;19(4):197–208. doi: https://doi.org/10.1089/omi.2015.0020</mixed-citation><mixed-citation xml:lang="en">Higdon R, Earl RK, Stanberry L, et al. The promise of multi-omics and clinical data integration to identify and target personalized healthcare approaches in autism spectrum disorders. OMICS. 2015;19(4):197–208. doi: https://doi.org/10.1089/omi.2015.0020</mixed-citation></citation-alternatives></ref><ref id="cit5"><label>5</label><citation-alternatives><mixed-citation xml:lang="ru">Phillips JW, Schulmann A, Hara E, et al. A repeated molecular architecture across thalamic pathways. Nat Neurosci. 2019;22(11):1925–1935. doi: https://doi.org/10.1038/s41593-019-0483-3</mixed-citation><mixed-citation xml:lang="en">Phillips JW, Schulmann A, Hara E, et al. A repeated molecular architecture across thalamic pathways. Nat Neurosci. 2019;22(11):1925–1935. doi: https://doi.org/10.1038/s41593-019-0483-3</mixed-citation></citation-alternatives></ref><ref id="cit6"><label>6</label><citation-alternatives><mixed-citation xml:lang="ru">Parikshak NN, Swarup V, Belgard TG, et al. Genome-wide changes in lncRNA, splicing, and regional gene expression patterns in autism. Nature. 2016;540(7633):423–427. doi: https://doi.org/10.1038/nature20612</mixed-citation><mixed-citation xml:lang="en">Parikshak NN, Swarup V, Belgard TG, et al. Genome-wide changes in lncRNA, splicing, and regional gene expression patterns in autism. Nature. 2016;540(7633):423–427. doi: https://doi.org/10.1038/nature20612</mixed-citation></citation-alternatives></ref><ref id="cit7"><label>7</label><citation-alternatives><mixed-citation xml:lang="ru">Loke YJ, Hannan AJ, Craig JM. The Role of Epigenetic Change in Autism Spectrum Disorders. Front Neurol. 2015;6:107. doi: https://doi.org/10.3389/fneur.2015.00107</mixed-citation><mixed-citation xml:lang="en">Loke YJ, Hannan AJ, Craig JM. The Role of Epigenetic Change in Autism Spectrum Disorders. Front Neurol. 2015;6:107. doi: https://doi.org/10.3389/fneur.2015.00107</mixed-citation></citation-alternatives></ref><ref id="cit8"><label>8</label><citation-alternatives><mixed-citation xml:lang="ru">Nóbrega IS, Teles E Silva AL, Yokota-Moreno BY, Sertié AL. The Importance of Large-Scale Genomic Studies to Unravel Genetic Risk Factors for Autism. Int J Mol Sci. 2024;25(11):5816. doi: https://doi.org/10.3390/ijms25115816</mixed-citation><mixed-citation xml:lang="en">Nóbrega IS, Teles E Silva AL, Yokota-Moreno BY, Sertié AL. The Importance of Large-Scale Genomic Studies to Unravel Genetic Risk Factors for Autism. Int J Mol Sci. 2024;25(11):5816. doi: https://doi.org/10.3390/ijms25115816</mixed-citation></citation-alternatives></ref><ref id="cit9"><label>9</label><citation-alternatives><mixed-citation xml:lang="ru">Modabbernia A, Velthorst E, Reichenberg A. Environmental risk factors for autism: an evidence-based review of systematic reviews and meta-analyses. Mol Autism. 2017;8:13. doi: https://doi.org/10.1186/s13229-017-0121-4</mixed-citation><mixed-citation xml:lang="en">Modabbernia A, Velthorst E, Reichenberg A. Environmental risk factors for autism: an evidence-based review of systematic reviews and meta-analyses. Mol Autism. 2017;8:13. doi: https://doi.org/10.1186/s13229-017-0121-4</mixed-citation></citation-alternatives></ref><ref id="cit10"><label>10</label><citation-alternatives><mixed-citation xml:lang="ru">Broek JA, Guest PC, Rahmoune H, Bahn S. Proteomic analysis of post mortem brain tissue from autism patients: evidence for opposite changes in prefrontal cortex and cerebellum in synaptic connectivity-related proteins. Mol Autism. 2014;5:41. doi: https://doi.org/10.1186/2040-2392-5-41</mixed-citation><mixed-citation xml:lang="en">Broek JA, Guest PC, Rahmoune H, Bahn S. Proteomic analysis of post mortem brain tissue from autism patients: evidence for opposite changes in prefrontal cortex and cerebellum in synaptic connectivity-related proteins. Mol Autism. 2014;5:41. doi: https://doi.org/10.1186/2040-2392-5-41</mixed-citation></citation-alternatives></ref><ref id="cit11"><label>11</label><citation-alternatives><mixed-citation xml:lang="ru">Borkowska EM, Kruk A, Jedrzejczyk A, et al. Molecular subtyping of bladder cancer using Kohonen self-organizing maps. Cancer Med. 2014;3(5):1225–1234. doi: https://doi.org/10.1002/cam4.217</mixed-citation><mixed-citation xml:lang="en">Borkowska EM, Kruk A, Jedrzejczyk A, et al. Molecular subtyping of bladder cancer using Kohonen self-organizing maps. Cancer Med. 2014;3(5):1225–1234. doi: https://doi.org/10.1002/cam4.217</mixed-citation></citation-alternatives></ref><ref id="cit12"><label>12</label><citation-alternatives><mixed-citation xml:lang="ru">Frye RE. Metabolic and mitochondrial disorders associated with epilepsy in children with autism spectrum disorder. Epilepsy Behav. 2015;47:147–157. doi: https://doi.org/10.1016/j.yebeh.2014.08.134</mixed-citation><mixed-citation xml:lang="en">Frye RE. Metabolic and mitochondrial disorders associated with epilepsy in children with autism spectrum disorder. Epilepsy Behav. 2015;47:147–157. doi: https://doi.org/10.1016/j.yebeh.2014.08.134</mixed-citation></citation-alternatives></ref><ref id="cit13"><label>13</label><citation-alternatives><mixed-citation xml:lang="ru">Sharon G, Cruz NJ, Kang DW, et al. Human Gut Microbiota from Autism Spectrum Disorder Promote Behavioral Symptoms in Mice. Cell. 2019;177(6):1600–1618.e17. doi: https://doi.org/10.1016/j.cell.2019.05.004</mixed-citation><mixed-citation xml:lang="en">Sharon G, Cruz NJ, Kang DW, et al. Human Gut Microbiota from Autism Spectrum Disorder Promote Behavioral Symptoms in Mice. Cell. 2019;177(6):1600–1618.e17. doi: https://doi.org/10.1016/j.cell.2019.05.004</mixed-citation></citation-alternatives></ref><ref id="cit14"><label>14</label><citation-alternatives><mixed-citation xml:lang="ru">Kovac J, Aleksic B, Krgovic D. Editorial: Multiomics approaches for understanding autism spectrum disorder. Front Neurosci. 2025;19:1542260. doi: https://doi.org/10.3389/fnins.2025.1542260</mixed-citation><mixed-citation xml:lang="en">Kovac J, Aleksic B, Krgovic D. Editorial: Multiomics approaches for understanding autism spectrum disorder. Front Neurosci. 2025;19:1542260. doi: https://doi.org/10.3389/fnins.2025.1542260</mixed-citation></citation-alternatives></ref><ref id="cit15"><label>15</label><citation-alternatives><mixed-citation xml:lang="ru">Gandal MJ, Zhang P, Hadjimichael E, et al. Transcriptome-wide isoform-level dysregulation in ASD, schizophrenia, and bipolar disorder. Science. 2018;362(6420):eaat8127. doi: https://doi.org/10.1126/science.aat8127</mixed-citation><mixed-citation xml:lang="en">Gandal MJ, Zhang P, Hadjimichael E, et al. Transcriptome-wide isoform-level dysregulation in ASD, schizophrenia, and bipolar disorder. Science. 2018;362(6420):eaat8127. doi: https://doi.org/10.1126/science.aat8127</mixed-citation></citation-alternatives></ref><ref id="cit16"><label>16</label><citation-alternatives><mixed-citation xml:lang="ru">Osama A, Anwar AM, Ezzeldin S, et al. Integrative multiomics analysis of autism spectrum disorder reveals unique microbial macromolecules interactions. J Adv Res. 2025:S2090-1232(25)00055-4. doi: https://doi.org/10.1016/j.jare.2025.01.036</mixed-citation><mixed-citation xml:lang="en">Osama A, Anwar AM, Ezzeldin S, et al. Integrative multiomics analysis of autism spectrum disorder reveals unique microbial macromolecules interactions. J Adv Res. 2025:S2090-1232(25)00055-4. doi: https://doi.org/10.1016/j.jare.2025.01.036</mixed-citation></citation-alternatives></ref><ref id="cit17"><label>17</label><citation-alternatives><mixed-citation xml:lang="ru">Yoon S, Munoz A, Yamrom B, et al. Rates of contributory de novo mutation in high and low-risk autism families. Commun Biol. 2021;4(1):1026. doi: https://doi.org/10.1038/s42003-02102533-z</mixed-citation><mixed-citation xml:lang="en">Yoon S, Munoz A, Yamrom B, et al. Rates of contributory de novo mutation in high and low-risk autism families. Commun Biol. 2021;4(1):1026. doi: https://doi.org/10.1038/s42003-02102533-z</mixed-citation></citation-alternatives></ref><ref id="cit18"><label>18</label><citation-alternatives><mixed-citation xml:lang="ru">Lombardo MV, Pramparo T, Gazestani V, et al. Large-scale associations between the leukocyte transcriptome and BOLD responses to speech differ in autism early language outcome subtypes. Nat Neurosci. 2018;21(12):1680–1688. doi: https://doi.org/10.1038/s41593-018-0281-3</mixed-citation><mixed-citation xml:lang="en">Lombardo MV, Pramparo T, Gazestani V, et al. Large-scale associations between the leukocyte transcriptome and BOLD responses to speech differ in autism early language outcome subtypes. Nat Neurosci. 2018;21(12):1680–1688. doi: https://doi.org/10.1038/s41593-018-0281-3</mixed-citation></citation-alternatives></ref><ref id="cit19"><label>19</label><citation-alternatives><mixed-citation xml:lang="ru">Zhuang H, Liang Z, Ma G, et al. Autism spectrum disorder: pathogenesis, biomarker, and intervention therapy. MedComm (2020). 2024;5(3):e497. doi: https://doi.org/10.1002/mco2.497</mixed-citation><mixed-citation xml:lang="en">Zhuang H, Liang Z, Ma G, et al. Autism spectrum disorder: pathogenesis, biomarker, and intervention therapy. MedComm (2020). 2024;5(3):e497. doi: https://doi.org/10.1002/mco2.497</mixed-citation></citation-alternatives></ref><ref id="cit20"><label>20</label><citation-alternatives><mixed-citation xml:lang="ru">Parikshak NN, Luo R, Zhang A, et al. Integrative functional genomic analyses implicate specific molecular pathways and circuits in autism. Cell. 2013;155(5):1008–1021. doi: https://doi.org/10.1016/j.cell.2013.10.031</mixed-citation><mixed-citation xml:lang="en">Parikshak NN, Luo R, Zhang A, et al. Integrative functional genomic analyses implicate specific molecular pathways and circuits in autism. Cell. 2013;155(5):1008–1021. doi: https://doi.org/10.1016/j.cell.2013.10.031</mixed-citation></citation-alternatives></ref><ref id="cit21"><label>21</label><citation-alternatives><mixed-citation xml:lang="ru">Kosmicki JA, Sochat V, Duda M, Wall DP. Searching for a minimal set of behaviors for autism detection through feature selectionbased machine learning. Transl Psychiatry. 2015;5(2):e514. doi: https://doi.org/10.1038/tp.2015.7</mixed-citation><mixed-citation xml:lang="en">Kosmicki JA, Sochat V, Duda M, Wall DP. Searching for a minimal set of behaviors for autism detection through feature selectionbased machine learning. Transl Psychiatry. 2015;5(2):e514. doi: https://doi.org/10.1038/tp.2015.7</mixed-citation></citation-alternatives></ref><ref id="cit22"><label>22</label><citation-alternatives><mixed-citation xml:lang="ru">Hewitson L, Mathews JA, Devlin M, et al. Blood biomarker discovery for autism spectrum disorder: A proteomic analysis. PLoS One. 2021;16(2):e0246581. doi: https://doi.org/10.1371/journal.pone.0246581</mixed-citation><mixed-citation xml:lang="en">Hewitson L, Mathews JA, Devlin M, et al. Blood biomarker discovery for autism spectrum disorder: A proteomic analysis. PLoS One. 2021;16(2):e0246581. doi: https://doi.org/10.1371/journal.pone.0246581</mixed-citation></citation-alternatives></ref><ref id="cit23"><label>23</label><citation-alternatives><mixed-citation xml:lang="ru">West PR, Amaral DG, Bais P, et al. Metabolomics as a tool for discovery of biomarkers of autism spectrum disorder in the blood plasma of children. PLoS One. 2014;9(11):e112445. doi: https://doi.org/10.1371/journal.pone.0112445</mixed-citation><mixed-citation xml:lang="en">West PR, Amaral DG, Bais P, et al. Metabolomics as a tool for discovery of biomarkers of autism spectrum disorder in the blood plasma of children. PLoS One. 2014;9(11):e112445. doi: https://doi.org/10.1371/journal.pone.0112445</mixed-citation></citation-alternatives></ref><ref id="cit24"><label>24</label><citation-alternatives><mixed-citation xml:lang="ru">Frazier TW, Embacher R, Tilot AK, et al. (2014). Molecular and phenotypic abnormalities in individuals with germline heterozygous PTEN mutations and autism. Mol Psychiatry. 2015;20(9):1132– 1138. doi: https://doi.org/10.1038/mp.2014.125</mixed-citation><mixed-citation xml:lang="en">Frazier TW, Embacher R, Tilot AK, et al. (2014). Molecular and phenotypic abnormalities in individuals with germline heterozygous PTEN mutations and autism. Mol Psychiatry. 2015;20(9):1132– 1138. doi: https://doi.org/10.1038/mp.2014.125</mixed-citation></citation-alternatives></ref><ref id="cit25"><label>25</label><citation-alternatives><mixed-citation xml:lang="ru">Bernier R, Golzio C, Xiong B, et al. Disruptive CHD8 mutations define a subtype of autism early in development. Cell. 2014;158(2):263–276. doi: https://doi.org/10.1016/j.cell.2014.06.017</mixed-citation><mixed-citation xml:lang="en">Bernier R, Golzio C, Xiong B, et al. Disruptive CHD8 mutations define a subtype of autism early in development. Cell. 2014;158(2):263–276. doi: https://doi.org/10.1016/j.cell.2014.06.017</mixed-citation></citation-alternatives></ref><ref id="cit26"><label>26</label><citation-alternatives><mixed-citation xml:lang="ru">O’Roak BJ, Vives L, Girirajan S, et al. Sporadic autism exomes reveal a highly interconnected protein network of de novo mutations. Nature. 2012;485(7397):246–250. doi: https://doi.org/10.1038/nature10989</mixed-citation><mixed-citation xml:lang="en">O’Roak BJ, Vives L, Girirajan S, et al. Sporadic autism exomes reveal a highly interconnected protein network of de novo mutations. Nature. 2012;485(7397):246–250. doi: https://doi.org/10.1038/nature10989</mixed-citation></citation-alternatives></ref><ref id="cit27"><label>27</label><citation-alternatives><mixed-citation xml:lang="ru">Jensen AR, Lane AL, Werner BA, et al. Modern Biomarkers for Autism Spectrum Disorder: Future Directions. Mol Diagn Ther. 2022;26(5):483–495. doi: https://doi.org/10.1007/s40291-022-00600-7</mixed-citation><mixed-citation xml:lang="en">Jensen AR, Lane AL, Werner BA, et al. Modern Biomarkers for Autism Spectrum Disorder: Future Directions. Mol Diagn Ther. 2022;26(5):483–495. doi: https://doi.org/10.1007/s40291-022-00600-7</mixed-citation></citation-alternatives></ref><ref id="cit28"><label>28</label><citation-alternatives><mixed-citation xml:lang="ru">Frye RE, Rose S, Boles RG, Rossignol DA. A Personalized Approach to Evaluating and Treating Autism Spectrum Disorder. J Pers Med. 2022;12(2):147. doi: https://doi.org/10.3390/jpm12020147</mixed-citation><mixed-citation xml:lang="en">Frye RE, Rose S, Boles RG, Rossignol DA. A Personalized Approach to Evaluating and Treating Autism Spectrum Disorder. J Pers Med. 2022;12(2):147. doi: https://doi.org/10.3390/jpm12020147</mixed-citation></citation-alternatives></ref></ref-list><fn-group><fn fn-type="conflict"><p>The authors declare that there are no conflicts of interest present.</p></fn></fn-group></back></article>
