{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T12:10:24Z","timestamp":1760098224301,"version":"build-2065373602"},"reference-count":43,"publisher":"Institute of Cytology and Genetics, SB RAS","issue":"6","license":[{"start":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T00:00:00Z","timestamp":1759968000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/vavilov.elpub.ru\/jour\/about\/editorialPolicies#openAccessPolicy"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Vestn. VOGiS"],"abstract":"<jats:p>To date, several genome-wide association studies (GWAS) of antisocial behavior (ASB) have been conducted in Europeans, which promoted research aimed at evaluating liability to ASB-related phenotypes in independent samples. Such studies implemented a polygenic score (PGS) approach, which represents a composite score considering a number of \u201crisky\u201d alleles. Since no GWAS of ASB has been conducted in Russians, the present study aimed to perform a replication study of liability to severe criminal behavior (homicide) in individuals from Russia using PGS. Moreover, we sought to obtain the best model considering PGS and potential social factors as predictors. Genotyping of the \u201ctop\u201d ten SNPs previously identified in GWAS meta-analysis of ASB (CADM2, REV3L, FOXP1, FOXP2, BDNF, FURIN, XKR6, TMEM18, SORCS3, and ZIC4 genes) was conducted via real-time PCR in 227 homicide offenders and 254 healthy donors from the Volga-Ural region of Russia. Multiple regression models included \u201cweighted\u201d and \u201cunweighted\u201d PGS and potential social factors as predictors. The best regression model of liability to severe ASB was based on genetic effects of examined SNPs and social predictors, including traumatic brain injury, severe chronic disease, and tobacco smoking, which was more pronounced among subjects with a family history of mental illness (p = 2 \u00d7 10<jats:sup>\u201313<\/jats:sup>). PGS alone explained a small proportion of variance in liability to ASB (1.1\u20131.5 %), while the inclusion of social parameters increased variance explained (16.2\u201321.2 %). Revealed findings evidence a higher impact of social factors than a composite effect of selected \u201ctop\u201d SNPs in predicting liability to ASB in the examined cohort. A higher probability of ASB was linked to comorbid substance abuse, traumatic brain injury, and family history of mental illness, which may also represent a result of a \u201crisky\u201d genetic profile.<\/jats:p>","DOI":"10.18699\/vjgb-25-91","type":"journal-article","created":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T11:28:00Z","timestamp":1760095680000},"page":"838-846","source":"Crossref","is-referenced-by-count":0,"title":["Using polygenic scores to assess liability to antisocial behavior"],"prefix":"10.18699","volume":"29","author":[{"given":"A. V.","family":"Kazantseva","sequence":"first","affiliation":[{"name":"Institute of Biochemistry and Genetics \u2013 Subdivision of the Ufa Federal Research Centre of the Russian Academy of Sciences"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"D. V.","family":"Yakovleva","sequence":"additional","affiliation":[{"name":"Institute of Biochemistry and Genetics \u2013 Subdivision of the Ufa Federal Research Centre of the Russian Academy of Sciences; Ufa University of Science and Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yu. D.","family":"Davydova","sequence":"additional","affiliation":[{"name":"Institute of Biochemistry and Genetics \u2013 Subdivision of the Ufa Federal Research Centre of the Russian Academy of Sciences"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"E. 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