Document Type

Article

Publication Date

2023

DOI

10.1038/s41598-023-40199-1

Publication Title

Scientific Reports

Volume

13

Issue

1

Pages

13443 (1-10)

Abstract

Alcohol use (i.e., quantity, frequency) and alcohol use disorder (AUD) are common, associated with adverse outcomes, and genetically-influenced. Genome-wide association studies (GWAS) identified genetic loci associated with both. AUD is positively genetically associated with psychopathology, while alcohol use (e.g., drinks per week) is negatively associated or NS related to psychopathology. We wanted to test if these genetic associations extended to life satisfaction, as there is an interest in understanding the associations between psychopathology-related traits and constructs that are not just the absence of psychopathology, but positive outcomes (e.g., well-being variables). Thus, we used Genomic Structural Equation Modeling (gSEM) to analyze summary-level genomic data (i.e., effects of genetic variants on constructs of interest) from large-scale GWAS of European ancestry individuals. Results suggest that the best-fitting model is a Bifactor Model, in which unique alcohol use, unique AUD, and common alcohol factors are extracted. The genetic correlation (rg) between life satisfaction-AUD specific factor was near zero, the rg with the alcohol use specific factor was positive and significant, and the rg with the common alcohol factor was negative and significant. Findings indicate that life satisfaction shares genetic etiology with typical alcohol use and life dissatisfaction shares genetic etiology with heavy alcohol use.

Rights

© 2023 The Authors

This article is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original authors and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.

Data Availability

Article states: All data analyzed are summary-level data, most of which are publicly available to qualified investigators (e.g., https://pgc.unc.edu/for-researchers/download-results/). The exception to this is summary-level data coming from the Million Veterans Program (MVP), which is available with a data use agreement through dbGaP.

Original Publication Citation

Bountress, K. E., Cusack, S. E., Hawn, S. E., Grotzinger, A., Bustamante, D., Kirkpatrick, R. M., Edenberg, H. J., & Amstadter, A. B. (2023). Genetic associations between alcohol phenotypes and life satisfaction: A genomic structural equation modelling approach. Scientific Reports, 13(1), 1-10, Article 13443. https://doi.org/10.1038/s41598-023-40199-1

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