Meta-analysis of genome-wide SNP- A nd pathway-based associations for facets of neuroticism

Song E. Kim, Han Na Kim, Yeo Jun Yun, Seong Gu Heo, Juhee Cho, Min Jung Kwon, Yoosoo Chang, Seungho Ryu, Hocheol Shin, Chol Shin, Nam H. Cho, Yeon Ah Sung, Hyung Lae Kim

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31 Scopus citations

Abstract

Neuroticism is a heritable personality trait that is comprised of distinct sub-factors, or facets. Sub-factors of neuroticism are linked to different emotional states or psychiatric symptoms and studying the genetic variants associated with these facets may help reveal the biological mechanisms underlying psychiatric disorders. In the present study, a meta-analysis of genome-wide association studies for six facets of neuroticism was performed in 5584 participants from three cohorts. Additionally, a Gene Set Enrichment Analysis was conducted to find biological pathways associated with each facet. Six neuroticism facets (N1: Anxiety, N2: Angry hostility, N3: Depression, N4: Self-consciousness, N5: Impulsivity and N6: Vulnerability) were assessed using the Korean version of the Revised NEO Personality Inventory. In the single-nucleotide polymorphism-based analysis, results showed genome-wide significance for N2 within the MIR548H3 gene (rs1360001, P=4.14 × 10 â '9). Notable genes with suggestive associations (P<1.0 × 10 â '6) were ITPR1 for N1, WNT7A for N2, FGF10 and FHIT for N3, DDR1 for N4, VGLL4 for N5 and PTPRD for N6. In the pathway-based analysis, the axon guidance pathway was identified to be associated with multiple facets of neuroticism (N2, N4 and N6). The focal adhesion and extracellular matrix receptor interaction pathways were significantly associated with N2 and N3. Our findings revealed genetic influences and biological pathways that are associated with facets of neuroticism.

Original languageEnglish
Pages (from-to)903-909
Number of pages7
JournalJournal of Human Genetics
Volume62
Issue number10
DOIs
StatePublished - 1 Oct 2017

Bibliographical note

Publisher Copyright:
© 2017 The Japan Society of Human Genetics.

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