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Three genetic-environmental networks for human personality




TekijätZwir Igor, Del-Val Coral, Arnedo Javier, Pulkki-Råback Laura, Konte Bettina, Yang Sarah S., Romero-Zaliz Rocio, Hintsanen Mirka, Cloninger Kevin M., Garcia Danilo, Svrakic Dragan M., Lester Nigel, Rozsa Sandor, Mesa Alberto, Lyytikäinen Leo-Pekka, Giegling Ina, Kähönen Mika, Martinez Maribel, Seppälä Ilkka, Raitoharju Emma, de Erausquin Gabriel A., Mamah Daniel, Raitakari Olli, Rujescu Dan, Postolache Teodor T., C. Charles Gu, Sung Joohon, Lehtimäki Terho, Keltikangas-Järvinen Liisa, Cloninger C. Robert

KustantajaSpringer Nature

Julkaisuvuosi2021

JournalMolecular Psychiatry

Tietokannassa oleva lehden nimiMolecular psychiatry

Lehden akronyymiMol Psychiatry

Vuosikerta26

Numero8

Aloitussivu3858

Lopetussivu3875

ISSN1359-4184

eISSN1476-5578

DOIhttps://doi.org/10.1038/s41380-019-0579-x

Rinnakkaistallenteen osoitehttps://research.utu.fi/converis/portal/detail/Publication/45546560


Tiivistelmä
Phylogenetic, developmental, and brain-imaging studies suggest that human personality is the integrated expression of three major systems of learning and memory that regulate (1) associative conditioning, (2) intentionality, and (3) self-awareness. We have uncovered largely disjoint sets of genes regulating these dissociable learning processes in different clusters of people with (1) unregulated temperament profiles (i.e., associatively conditioned habits and emotional reactivity), (2) organized character profiles (i.e., intentional self-control of emotional conflicts and goals), and (3) creative character profiles (i.e., self-aware appraisal of values and theories), respectively. However, little is known about how these temperament and character components of personality are jointly organized and develop in an integrated manner. In three large independent genome-wide association studies from Finland, Germany, and Korea, we used a data-driven machine learning method to uncover joint phenotypic networks of temperament and character and also the genetic networks with which they are associated. We found three clusters of similar numbers of people with distinct combinations of temperament and character profiles. Their associated genetic and environmental networks were largely disjoint, and differentially related to distinct forms of learning and memory. Of the 972 genes that mapped to the three phenotypic networks, 72% were unique to a single network. The findings in the Finnish discovery sample were blindly and independently replicated in samples of Germans and Koreans. We conclude that temperament and character are integrated within three disjoint networks that regulate healthy longevity and dissociable systems of learning and memory by nearly disjoint sets of genetic and environmental influences.

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