| Title: | Investigating genetically stratified subgroups to better understand the etiology of alcohol misuse |
| Journal: | Molecular Psychiatry |
| Published: | 25 Jul 2023 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/37488169/ |
| DOI: | https://doi.org/10.1038/s41380-023-02174-0 |
| Citations: | 3 (3 in last 2 years) as of 8 Aug 2024 |
Publication 7716
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Abstract
Alcohol misuse (AM) is highly prevalent and harmful, with theorized subgroups differing on internalizing and externalizing dimensions. Despite known heterogeneity, genome-wide association studies (GWAS) are usually conducted on unidimensional phenotypes. These approaches have identified important genes related to AM but fail to capture a large part of the heritability, even with recent increases in sample sizes. This study aimed to address phenotypic heterogeneity in GWAS to aid gene finding and to uncover the etiology of different types of AM. Genetic and phenotypic data from 410,414 unrelated individuals of multiple ancestry groups (primarily European) in the UK Biobank were obtained. Mixture modeling was applied to measures of alcohol misuse and internalizing/externalizing psychopathology to uncover phenotypically homogenous subclasses, which were carried forward to GWAS and functional annotation. A four-class model emerged with "low risk", "internalizing-light/non-drinkers", "heavy alcohol use-low impairment", and "broad high risk" classes. SNP heritability ranged from 3 to 18% and both known AM signals and novel signals were captured by genomic risk loci. Class comparisons showed distinct patterns of regional brain tissue enrichment and genetic correlations with internalizing and externalizing phenotypes. Despite some limitations, this study demonstrated the utility of genetic research on homogenous subclasses. Not only were novel genetic signals identified that might be used for follow-up studies, but addressing phenotypic heterogeneity allows for the discovery and investigation of differential genetic vulnerabilities in the development of AM, which is an important step towards the goal of personalized medicine.56 Authors
- Karen Chartier
- Ananda Amstadter
- Danielle M. Dick
- Emily Lilley
- Renolda Gelzinis
- Anne Morris
- Katie Bountress
- Amy E. Adkins
- Nathaniel Thomas
- Zoe Neale
- Kimberly Pedersen
- Thomas Bannard
- Seung B. Cho
- Peter Barr
- Holly Byers
- Erin C. Berenz
- Erin Caraway
- James S. Clifford
- Megan Cooke
- Elizabeth Do
- Alexis C. Edwards
- Neeru Goyal
- Laura M. Hack
- Lisa J. Halberstadt
- Sage Hawn
- Sally Kuo
- Emily Lasko
- Jennifer Lend
- Mackenzie Lind
- Elizabeth Long
- Alexandra Martelli
- Jacquelyn L. Meyers
- Kerry Mitchell
- Ashlee Moore
- Arden Moscati
- Aashir Nasim
- Jill Opalesky
- Cassie Overstreet
- A. Christian Pais
- Tarah Raldiris
- Jessica Salvatore
- Jeanne Savage
- Rebecca Smith
- David Sosnowski
- Jinni Su
- Chloe Walker
- Marcie Walsh
- Teresa Willoughby
- Madison Woodroof
- Jia Yan
- Cuie Sun
- Brandon Wormley
- Brien Riley
- Fazil Aliev
- Roseann Peterson
- Bradley T. Webb
1 Application
| Application ID | Title |
|---|---|
| 16406 | Causes of individual differences in cognitive and mental health |
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