# Mass Multivariate Derivation and Validation of AUD Biotypes using Developmental Imaging and Genomic Approaches

> **NIH NIH K01** · WASHINGTON UNIVERSITY · 2022 · $179,424

## Abstract

PROJECT SUMMARY/ABSTRACT
In stark contrast to the widespread prevalence and devastating outcomes associated with alcohol use disorder,
currently available treatment options are only moderately effective. The large heterogeneity in AUD presentations
may obfuscate etiology and individualized treatment options. In this 5-year K01 mentored research scientist
award application, I propose to characterize the behavioral, molecular, and genetic correlates of AUD biotypes
(subtypes determined by biology) across the lifespan. To this end, I will apply semi-supervised machine learning
algorithms to structural brain imaging data from the largest available AUD and alcohol use datasets from
childhood to old age (total n=61,428). I will examine the stability of these biotypes across the lifespan, including
among substance-naïve children and adults with heavy alcohol use, as well as their correlates with
neurobehavioral stage-based constructs of addiction (i.e., impulsivity, negative affect, cognition) and with alcohol
involvement trajectories. I will then conduct a genome-wide association study of AUD biotypes to disarticulate
their genetic architecture, genetic correlates, and potential molecular pathways that may be leveraged for drug
repositioning. This grant develops my skillsets in semi-supervised machine learning, AUD heterogeneous
presentations, multivariate genome-wide methods, and multi-omic analytic approaches. These skill sets will
serve as a backdrop for a planned R01 submission that will leverage my background in large-scale data analysis
to translate across biological modalities in substance use research.

## Key facts

- **NIH application ID:** 10429020
- **Project number:** 1K01AA030083-01
- **Recipient organization:** WASHINGTON UNIVERSITY
- **Principal Investigator:** Alexander S Hatoum
- **Activity code:** K01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $179,424
- **Award type:** 1
- **Project period:** 2022-08-20 → 2027-07-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10429020

## Citation

> US National Institutes of Health, RePORTER application 10429020, Mass Multivariate Derivation and Validation of AUD Biotypes using Developmental Imaging and Genomic Approaches (1K01AA030083-01). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10429020. Licensed CC0.

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