Cognitive Polygenic Index is Associated with Occupational Complexity over and above Brain Morphometry.

Autor: Tsapanou A; Department of Neurology, Columbia University Irving Medical Center, New York, NY, 10032, USA., Mourtzi N; Department of Neurology, Aiginition Hospital, National and Kapodistrian University of Athens, Athens, 11528, Greece., Gu Y; Department of Neurology, Columbia University Irving Medical Center, New York, NY, 10032, USA., Belsky DW; Department of Neurology, Aiginition Hospital, National and Kapodistrian University of Athens, Athens, 11528, Greece.; Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA., Barral S; Department of Neurology, Columbia University Irving Medical Center, New York, NY, 10032, USA., Habeck C; Department of Neurology, Columbia University Irving Medical Center, New York, NY, 10032, USA., Stern Y; Department of Neurology, Columbia University Irving Medical Center, New York, NY, 10032, USA. ys11@columbia.edu.
Jazyk: angličtina
Zdroj: Behavior genetics [Behav Genet] 2024 Sep; Vol. 54 (5), pp. 398-404. Date of Electronic Publication: 2024 Aug 20.
DOI: 10.1007/s10519-024-10194-x
Abstrakt: Although the impact of occupation on cognitive skills has been extensively studied, there is limited research examining if genetically predicted cognitive score may influence occupation. We examined the association between Cognitive Polygenic Index (PGI) and occupation, including the role of brain measures. Participants were recruited for the Reference Ability Neural Network and the Cognitive Reserve studies. Occupational complexity ratings for Data, People, or Things came from the Dictionary of Occupational Titles. A previously-created Cognitive PGI and linear regression models were used for the analyses. Age, sex, education, and the first 20 genetic Principal Components (PCs) of the sample were covariates. Total cortical thickness and total gray matter volume were further covariates. We included 168 white-ethnicity participants, 20-80 years old. After initial adjustment, higher Cognitive PGI was associated with higher Data complexity (B=-0.526, SE = 0.227, Beta= -0.526 p = 0.022, R 2  = 0.259) (lower score implies higher complexity). Associations for People or Things were not significant. After adding brain measures, association for Data remained significant (B=-0.496, SE: 0.245, Beta= -0.422, p = 0.045, R 2  = 0.254). Similarly, for a further, fully-adjusted analysis including all the three occupational complexity measures (B=-0.568, SE = 0.237, Beta= -0.483, p = 0.018, R 2  = 0.327). Cognitive genes were associated with occupational complexity over and above brain morphometry. Working with Data occupational complexity probably acquires higher cognitive status, which can be significantly genetically predetermined.
(© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)
Databáze: MEDLINE
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