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. 2023 Aug;28(8):3524-3530.
doi: 10.1038/s41380-023-02123-x. Epub 2023 Aug 15.

Polygenic contributions to performance on the Balloon Analogue Risk Task

Affiliations

Polygenic contributions to performance on the Balloon Analogue Risk Task

E L Nurmi et al. Mol Psychiatry. 2023 Aug.

Abstract

Risky decision-making is a common, heritable endophenotype seen across many psychiatric disorders. Its underlying genetic architecture is incompletely explored. We examined behavior in the Balloon Analogue Risk Task (BART), which tests risky decision-making, in two independent samples of European ancestry. One sample (n = 1138) comprised healthy participants and some psychiatric patients (53 schizophrenia, 42 bipolar disorder, 47 ADHD); the other (n = 911) excluded for recent treatment of various psychiatric disorders but not ADHD. Participants provided DNA and performed the BART, indexed by mean adjusted pumps. We constructed a polygenic risk score (PRS) for discovery in each dataset and tested it in the other as replication. Subsequently, a genome-wide MEGA-analysis, combining both samples, tested genetic correlation with risk-taking self-report in the UK Biobank sample and psychiatric phenotypes characterized by risk-taking (ADHD, Bipolar Disorder, Alcohol Use Disorder, prior cannabis use) in the Psychiatric Genomics Consortium. The PRS for BART performance in one dataset predicted task performance in the replication sample (r = 0.13, p = 0.000012, pFDR = 0.000052), as did the reciprocal analysis (r = 0.09, p = 0.0083, pFDR=0.04). Excluding participants with psychiatric diagnoses produced similar results. The MEGA-GWAS identified a single SNP (rs12023073; p = 3.24 × 10-8) near IGSF21, a protein involved in inhibitory brain synapses; replication samples are needed to validate this result. A PRS for self-reported cannabis use (p = 0.00047, pFDR = 0.0053), but not self-reported risk-taking or psychiatric disorder status, predicted behavior on the BART in our MEGA-GWAS sample. The findings reveal polygenic architecture of risky decision-making as measured by the BART and highlight its overlap with cannabis use.

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Conflict of interest statement

ELN is an unpaid member of the Tourette Association of America and Myriad Genetics Advisory Boards. JM is a principal in Beam Therapeutics, Inc. and a consultant to Clairvoyant Therapeutics, Inc. HdW. is a scientific advisor to Awakn Life Sciences and Gilgamesh Pharmaceutics, and on the Board of Directors of PharmAla Biotech.

Figures

Fig. 1
Fig. 1. Polygenic Risk for Risky Decision Making as Measured by BART Performance is Replicated Across Independent Samples.
A PRS analysis using GOI as training and CNP as replication sample. B PRS analysis using CNP as training and GOI as replication sample. The optimal threshold (0.338 in A and 0.108 in B), determined by strongest PRS correlation with BART phenotype, is highlighted by the box along with correlation (r), p-value, and FDR corrected p-value. Horizontal line indicates nominal significance.
Fig. 2
Fig. 2. A GWAS Performed in the Combined GOI and CNP Samples Identifies One Locus Associated with BART Performance at the Genome-wide Significance Level.
A Q-Q plot of expected vs. observed p-values for the MEGA-GWAS. B Manhattan plot of genome-wide association with risky decision-making as measured by BART performance. Upper line demarcates genome-wide significance. Lower line indicates Bonferroni correction significance threshold.
Fig. 3
Fig. 3
PRS Analysis of Cannabis Dependence Versus BART Performance in the Combined GOI and CNP Samples Reveals Shared Genetic Risk. The optimal threshold (0.11), determined by strongest PRS correlation with BART phenotype, is highlighted by the box along with correlation (r), p-value, and FDR corrected p-value. Horizontal line indicates nominal significance.

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