GeneSet Information

Tier IV GS410161 • Human gene associations with disruptive behavior (DB; assigned to ADHD) factor from GWAS meta-analysis_pvalue

DESCRIPTION:

Based on the disinhibited externalizing spectrum described by Krueger et al. (1), we collected GWAS summary statistics for 13 externalizing phenotypes (Table 1). Only samples with a European/North-American ancestry (23) were included (see Supplement 1). Assessment of genetic resemblance indicated a categorization into two externalizing-related factors, one characterized by disruptive behavior (DB) and another by risk-taking behavior (RTB), that together explained 53% of the total genetic variance. Hierarchical clustering on genetic resemblance (Figure 1B) confirmed this categorization into DBs (aggression, angry outbursts, different measures of irritability, and ADHD) and RTBs (antisocial behavior, general risk tolerance, drinks per week, ever smoker, number of sexual partners, automobile speeding propensity, and lifetime cannabis use). For these phenotypes, we followed the hierarchical clustering results, assigning ADHD to factor 1 (DB) and antisocial behavior to factor 2 (RTB). The author defined alpha level for significant associations in this geneset is alpha = 2.75E-06 (table S13).

LABEL:

DB human gene association_pvalue

SCORE TYPE:

P-Value

THRESHOLD:

<= 0.5

GENES IN THRESHOLD:

12133

DATE ADDED:

2025-01-15

DATE UPDATED:

2025-01-15

SPECIES:

AUTHORS:

Bart Baselmans, Anke R Hammerschlag, Stephany Noordijk, Hill Ip, Matthijs van der Zee, Eco de Geus, Abdel Abdellaoui, Jorien L Treur, Dennis van 't Ent

TITLE:

The Genetic and Neural Substrates of Externalizing Behavior.

JOURNAL:

Biological psychiatry global open science Oct 2022, Vol 2, pp. 389-399

ABSTRACT:

Background: To gain more insight into the biological factors that mediate vulnerability to display externalizing behaviors, we leveraged genome-wide association study summary statistics on 13 externalizing phenotypes. Methods: After data classification based on genetic resemblance, we performed multivariate genome-wide association meta-analyses and conducted extensive bioinformatic analyses, including genetic correlation assessment with other traits, Mendelian randomization, and gene set and gene expression analyses. Results: The genetic data could be categorized into disruptive behavior (DB) and risk-taking behavior (RTB) factors, and subsequent genome-wide association meta-analyses provided association statistics for DB and RTB (N eff = 523,150 and 1,506,537, respectively), yielding 50 and 257 independent genetic signals. The statistics of DB, much more than RTB, signaled genetic predisposition to adverse cognitive, mental health, and personality outcomes. We found evidence for bidirectional causal influences between DB and substance use behaviors. Gene set analyses implicated contributions of neuronal cell development (DB/RTB) and synapse formation and transcription (RTB) mechanisms. Gene-brain mapping confirmed involvement of the amygdala and hypothalamus and highlighted other candidate regions (cerebellar dentate, cuneiform nucleus, claustrum, paracentral cortex). At the cell-type level, we noted enrichment of glutamatergic neurons for DB and RTB. Conclusions: This bottom-up, data-driven study provides new insights into the genetic signals of externalizing behaviors and indicates that commonalities in genetic architecture contribute to the frequent co-occurrence of different DBs and different RTBs, respectively. Bioinformatic analyses supported the DB versus RTB categorization and indicated relevant biological mechanisms. Generally similar gene-brain mappings indicate that neuroanatomical differences, if any, escaped the resolution of our methods. PUBMED: 36324656
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Annotation Information

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Automobiles (D001336)
Behavior (D001519)
Aggression (D000374)
Substance-Related Disorders (D019966)
Gene Expression Profiling (D020869)
Biological Factors (D001685)
Biological Products (D001688)
Brain Mapping (D001931)
Statistics (D020500)
Gene Expression (D015870)
Genome-Wide Association Study (D055106)
Random Allocation (D011897)
Genetic Predisposition to Disease (D020022)
Attention Deficit Disorder with Hyperactivity (D001289)
Personality (D010551)
Computational Biology (D019295)
Classification (D002965)
Neurons (D009474)
Risk-Taking (D012309)
Weights and Measures (D014894)
Amygdala (D000679)
Phenotype (D010641)
Architecture as Topic (D001108)
Hypothalamus (D007031)
Methods (D008722)
Mental Health (D008603)
Sexual Partners (D012747)
Antisocial Personality Disorder (D000987)
Cannabis (D002188)
Association (D001244)
Synapses (D013569)
Cluster Analysis (D016000)
claustrum (MA:0000888)
hypothalamus (MA:0000173)
transcription, DNA-dependent (GO:0006351)
aggressive behavior (GO:0002118)
biosynthetic process (GO:0009058)
developmental process (GO:0032502)
cell development (GO:0048468)
gene expression (GO:0010467)
Classification (EDAM_topic:2230)
Biostatistics (EDAM_topic:2269)
Developmental biology resources (EDAM_topic:3064)
Transcriptomics (EDAM_topic:0203)
Transcription (EDAM_topic:0110)
Mapping and assembly (EDAM_operation:2429)
atomic nucleus (CHEBI:33252)
alpha-particle (CHEBI:30216)
Irritability (HP:0000737)
attention deficit hyperactivity disorder (DOID:1094)
mental health (EFO:0003935)
mating type alpha (EFO:0001270)
attention deficit hyperactivity disorder (EFO:0003888)
Cannabis use (EFO:0007585)
obsolete_cerebellum (EFO:0000327)
Caucasian (EFO:0003156)
aggressive behavior (EFO:0003015)
personality (EFO:0003947)
hypothalamus (UBERON:0001898)
neural nucleus (UBERON:0000125)
cuneiform nucleus (UBERON:0002696)
distal tarsal bone (UBERON:0010721)
claustrum of brain (UBERON:0002023)
adult cerebral ganglion (UBERON:6110636)

Gene List • 17980 Genes

Genes in threshold: 12133

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