Pathway analysis of genome-wide association datasets of personality traits

H. N. Kim, B. H. Kim, J. Cho, S. Ryu, H. Shin, J. Sung, Chol Shin, N. H. Cho, Y. A. Sung, B. O. Choi, H. L. Kim

Research output: Contribution to journalArticle

12 Citations (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.

Original languageEnglish
Pages (from-to)345-356
Number of pages12
JournalGenes, Brain and Behavior
Volume14
Issue number4
DOIs
Publication statusPublished - 2015 Apr 1

Fingerprint

Genome-Wide Association Study
Personality
Neural Cell Adhesion Molecule L1
Platelet-Derived Growth Factor beta Receptor
Voltage-Gated Potassium Channels
Personality Inventory
Neurotransmitter Receptor
Genes
Interferon-gamma
Datasets
Schizophrenia
Genome
Peptides

Keywords

  • Axon guidance
  • Behavior
  • Big Five personality
  • CAM
  • Five-factor model
  • Genome-wide association study
  • GWA study
  • Pathway analysis
  • Personality
  • Potassium channel

ASJC Scopus subject areas

  • Behavioral Neuroscience
  • Genetics
  • Neurology

Cite this

Kim, H. N., Kim, B. H., Cho, J., Ryu, S., Shin, H., Sung, J., ... Kim, H. L. (2015). Pathway analysis of genome-wide association datasets of personality traits. Genes, Brain and Behavior, 14(4), 345-356. https://doi.org/10.1111/gbb.12212

Pathway analysis of genome-wide association datasets of personality traits. / Kim, H. N.; Kim, B. H.; Cho, J.; Ryu, S.; Shin, H.; Sung, J.; Shin, Chol; Cho, N. H.; Sung, Y. A.; Choi, B. O.; Kim, H. L.

In: Genes, Brain and Behavior, Vol. 14, No. 4, 01.04.2015, p. 345-356.

Research output: Contribution to journalArticle

Kim, HN, Kim, BH, Cho, J, Ryu, S, Shin, H, Sung, J, Shin, C, Cho, NH, Sung, YA, Choi, BO & Kim, HL 2015, 'Pathway analysis of genome-wide association datasets of personality traits', Genes, Brain and Behavior, vol. 14, no. 4, pp. 345-356. https://doi.org/10.1111/gbb.12212
Kim, H. N. ; Kim, B. H. ; Cho, J. ; Ryu, S. ; Shin, H. ; Sung, J. ; Shin, Chol ; Cho, N. H. ; Sung, Y. A. ; Choi, B. O. ; Kim, H. L. / Pathway analysis of genome-wide association datasets of personality traits. In: Genes, Brain and Behavior. 2015 ; Vol. 14, No. 4. pp. 345-356.
@article{53cc05b796274e99a006316bc52d31e6,
title = "Pathway analysis of genome-wide association datasets of personality traits",
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.",
keywords = "Axon guidance, Behavior, Big Five personality, CAM, Five-factor model, Genome-wide association study, GWA study, Pathway analysis, Personality, Potassium channel",
author = "Kim, {H. N.} and Kim, {B. H.} and J. Cho and S. Ryu and H. Shin and J. Sung and Chol Shin and Cho, {N. H.} and Sung, {Y. A.} and Choi, {B. O.} and Kim, {H. L.}",
year = "2015",
month = "4",
day = "1",
doi = "10.1111/gbb.12212",
language = "English",
volume = "14",
pages = "345--356",
journal = "Genes, Brain and Behavior",
issn = "1601-1848",
publisher = "Wiley-Blackwell",
number = "4",

}

TY - JOUR

T1 - Pathway analysis of genome-wide association datasets of personality traits

AU - Kim, H. N.

AU - Kim, B. H.

AU - Cho, J.

AU - Ryu, S.

AU - Shin, H.

AU - Sung, J.

AU - Shin, Chol

AU - Cho, N. H.

AU - Sung, Y. A.

AU - Choi, B. O.

AU - Kim, H. L.

PY - 2015/4/1

Y1 - 2015/4/1

N2 - 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.

AB - 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.

KW - Axon guidance

KW - Behavior

KW - Big Five personality

KW - CAM

KW - Five-factor model

KW - Genome-wide association study

KW - GWA study

KW - Pathway analysis

KW - Personality

KW - Potassium channel

UR - http://www.scopus.com/inward/record.url?scp=84928277364&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84928277364&partnerID=8YFLogxK

U2 - 10.1111/gbb.12212

DO - 10.1111/gbb.12212

M3 - Article

C2 - 25809424

AN - SCOPUS:84928277364

VL - 14

SP - 345

EP - 356

JO - Genes, Brain and Behavior

JF - Genes, Brain and Behavior

SN - 1601-1848

IS - 4

ER -