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Pathway analysis of genome-wide association datasets of personality traits

Title
Pathway analysis of genome-wide association datasets of personality traits
Authors
Kim, H. -N.Kim, B. -H.Cho, J.Ryu, S.Shin, H.Sung, J.Shin, C.Cho, N. H.Sung, Y. A.Choi, B. -O.Kim, H. -L.
Ewha Authors
김형래
SCOPUS Author ID
김형래scopus
Issue Date
2015
Journal Title
GENES BRAIN AND BEHAVIOR
ISSN
1601-1848JCR Link1601-183XJCR Link
Citation
vol. 14, no. 4, pp. 345 - 356
Keywords
Axon guidancebehaviorBig Five personalityCAMfive-factor modelgenome-wide association studyGWA studypathway analysispersonalitypotassium channel
Publisher
WILEY-BLACKWELL
Indexed
SCIE; SCOPUS WOS scopus
Abstract
Although several genome-wide association (GWA) studies of human personality have been recently published, genetic variants that are highly associated with certain personality traits remain unknown, due to difficulty reproducing results. To further investigate these genetic variants, we assessed biological pathways using GWA datasets. Pathway analysis using GWA data was performed on 1089 Korean women whose personality traits were measured with the Revised NEO Personality Inventory for the 5-factor model of personality. A total of 1042 pathways containing 8297 genes were included in our study. Of these, 14 pathways were highly enriched with association signals that were validated in 1490 independent samples. These pathways include association of: Neuroticism with axon guidance [L1 cell adhesion molecule (L1CAM) interactions]; Extraversion with neuronal system and voltage-gated potassium channels; Agreeableness with L1CAM interaction, neurotransmitter receptor binding and downstream transmission in postsynaptic cells; and Conscientiousness with the interferon-gamma and platelet-derived growth factor receptor beta polypeptide pathways. Several genes that contribute to top-ranked pathways in this study were previously identified in GWA studies or by pathway analysis in schizophrenia or other neuropsychiatric disorders. Here we report the first pathway analysis of all five personality traits. Importantly, our analysis identified novel pathways that contribute to understanding the etiology of personality traits.
DOI
10.1111/gbb.12212
Appears in Collections:
의학전문대학원 > 의학과 > Journal papers
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