medgenМедицинская генетикаMedical Genetics2073-7998Publishing House «Genius Media» LLC10.25557/2073-7998.2025.05.27-30medgen-2970Research ArticleКРАТКИЕ СООБЩЕНИЯBRIEF REPORTИспользование метода полигенных оценок для оценки склонности к агрессивному поведению человекаUse of polygenic score approach for assessing liability to human aggressive behaviorКазанцеваА. В.KazantsevaA. V.

450054, г. Уфа, проспект Октября, д. 71Е

71, Prospekt Oktyabrya, Ufa, 450054, Russian Federation 

Kazantsa@mail.ruДавыдоваЮ. Д.DavydovaYu. D.

450054, г. Уфа, проспект Октября, д. 71Е

71, Prospekt Oktyabrya, Ufa, 450054, Russian Federation

МустафинР. Н.MustafinR. N.

450008, г. Уфа, ул. Ленина, д. 3

3, Lenina st., Ufa, 450008, Russian Federation 

МалыхС. Б.MalykhS. B.

125009, г. Москва, ул. Моховая, д. 9/4

9/4, Mokhovaya st., Moscow, 125009, Russian Federation 

ХуснутдиноваЭ. К.KhusnutdinovaE. K.

 450054, г. Уфа, проспект Октября, д. 71Е 

 71, Prospekt Oktyabrya, Ufa, 450054, Russian Federation 

Институт биохимии и генетики – обособленное структурное подразделение, ФГБУ Уфимский федеральный исследовательский центр Российской академии наукРоссияInstitute of Biochemistry and Genetics – Subdivision of the Ufa Federal Research Centre of the Russian Academy of SciencesRussian FederationБашкирский государственный медицинский университетРоссияBashkir State Medical UniversityRussian FederationПсихологический институт Российской академии образованияРоссияPsychological Institute of Russian Academy of EducationRussian Federation2025300720252452730Copyright © Казанцева А.В., Давыдова Ю.Д., Мустафин Р.Н., Малых С.Б., Хуснутдинова Э.К., 20252025Казанцева А.В., Давыдова Ю.Д., Мустафин Р.Н., Малых С.Б., Хуснутдинова Э.К.Kazantseva A.V., Davydova Y.D., Mustafin R.N., Malykh S.B., Khusnutdinova E.K.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://www.medgen-journal.ru/jour/article/view/2970

Выявление генетических локусов, связанных с формированием излишне агрессивного поведения, основываясь на анализе полигенных показателей (PGS), и релевантность экстраполяции данных GWAS европейских когорт на выборку жителей РФ представляют интерес. Целью являлось создание регрессионных моделей, объясняющих вариацию уровня агрессивности в российской когорте и включающих PGS показатели и социальные параметры. В исследование включены индивиды из РФ 18-25 лет (N=1065, 80% женщин), прошедшие психологическое тестирование с помощью опросника BPAQ для оценки уровня агрессивности. У респондентов проведено генотипирование 30 полиморфных локусов генов моноаминергических, гипоталамо-гипофизарнонадпочечниковой и воспалительной систем, и генов, вовлеченных в эпигенетическую регуляцию. Выявлены регрессионные модели, объясняющие до 13,3% вариации в уровне физической агрессии (р=2,2*10-16), использующие в качестве предикторов PGS показатель (локусы в генах CRP, TNF, IL1A, AVPR1A, OXTR, TERC, MIR2113, MIR124, MIR135A2, FYN, DRD4, SLC6A4) и такие факторы, как уровень дохода семьи, порядок рождения, уровень опеки матери и курение в настоящий момент. Полученные данные свидетельствуют в пользу генетической общности молекулярных механизмов, лежащих в основе формирования физической и вербальной агрессии и антисоциального и рискового поведения.

Identification of SNPs related to manifesting excessive aggressive behavior based on calculation of polygenic score (PGS) and a relevance of extrapolation of GWAS data obtained in European cohorts to a sample of Russian residents is of interest. The present study aimed to design regression models explaining variance in aggression level in Russian cohort and including PGS and social parameters as predictors. The study comprised of individuals from Russia aged 18-25 (N=1065, 80% women) who underwent psychological testing using the BPAQ questionnaire to assess aggression level. We performed genotyping of 30 SNPs in the genes belonging to monoaminergic, hypothalamicpituitary-adrenal and inflammatory systems, and genes involved in epigenetic regulation. Regression models were identified, which explain up to 13.3% of variance in physical aggression (p=2.2*10-16), including PGS (SNPs in CRP, TNF, IL1A, AVPR1A, OXTR, TERC, MIR2113, MIR124, MIR135A2, FYN, DRD4, and SLC6A4 genes) and social factors such as family income, birth order, maternal protection, and current smoking as predictors. The data obtained support the genetic similarity of the molecular mechanisms underlying the development of physical and verbal aggression and antisocial and risky behavior.

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The authors declare that there are no conflicts of interest present.