Literature DB >> 33230654

Polygenic Risk for Major Depression Interacts with Parental Criticism in Predicting Adolescent Depressive Symptom Development.

Stefanie A Nelemans1, Marco Boks2, Bochao Lin3, Tineke Oldehinkel4, Pol van Lier5, Susan Branje6, Wim Meeus6,7.   

Abstract

Research has focused more and more on the interplay between genetics and environment in predicting different forms of psychopathology, including depressive symptoms. While the polygenic nature of depressive symptoms is increasingly recognized, only few studies have applied a polygenic approach in gene-by-environment interaction (G × E) studies. Furthermore, longitudinal G × E studies on developmental psychopathological properties of depression are scarce. Therefore, this 6-year longitudinal community study examined the interaction between genetic risk for major depression and a multi-informant longitudinal index of critical parenting in relation to depressive symptom development from early to late adolescence. The sample consisted of 327 Dutch adolescents of European descent (56% boys; Mage T1 = 13.00, SDage T1 = 0.44). Polygenic risk for major depression was based on the Hyde et al. (Nature Genetics, 48, 1031-1036, 2016) meta-analysis and genetic sensitivity analyses were based on the 23andMe discovery dataset. Latent Growth Models suggested that polygenic risk score for major depression was associated with higher depressive symptoms across adolescence (significant main effect), particularly for those experiencing elevated levels of critical parenting (significant G × E). These findings highlight how polygenic risk for major depression in combination with a general environmental factor impacts depressive symptom development from early to late adolescence.

Entities:  

Keywords:  Adolescence; Depressive symptoms; Gene-by-environment interaction (G × E); Longitudinal; Parenting; Polygenic risk score (PRS)

Year:  2020        PMID: 33230654     DOI: 10.1007/s10964-020-01353-4

Source DB:  PubMed          Journal:  J Youth Adolesc        ISSN: 0047-2891


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