Neurotransmitter-Linked SNPs as Candidate Markers for Dual Diagnosis of Mental Health and Substance Use Disorders

This preprint reports a genome-wide association study (GWAS)-based analysis identifying ten candidate single-nucleotide polymorphisms (SNPs) across nine neurotransmitter-related genes as potential markers for dual diagnosis- the co-occurrence of mental health and substance use disorders. The study integrates published brain expression quantitative trait loci (eQTL) data from GTEx v8, PsychENCODE, and the UK Brain Expression Consortium (UKBEC) to characterize functional consequences of panel SNPs, identifies three convergent mechanistic pathways (dopaminergic reward dysregulation, BDNF neuroplasticity, and NEGR1 affective circuit remodelling), and proposes a provisional polygenic risk score (PRS) framework. All data analyses used publicly available, de-identified genomic data. No primary human subjects data were collected. This is a preprint and has not been peer reviewed.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-31
DOI
https://doi.org/10.5281/zenodo.20452899
Primary Topic
Genetic Associations and Epidemiology
Type
article
Field-Weighted Citation Impact
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article

Neurotransmitter-Linked SNPs as Candidate Markers for Dual Diagnosis of Mental Health and Substance Use Disorders

Ruhani Singh, Komal Singh, Prisha Patel
Zenodo (CERN European Organization for Nuclear Research)
Genetic Associations and Epidemiology
article

Neurotransmitter-Linked SNPs as Candidate Markers for Dual Diagnosis of Mental Health and Substance Use Disorders

Ruhani Singh, Komal Singh, Prisha Patel
article en

Abstract

This preprint reports a genome-wide association study (GWAS)-based analysis identifying ten candidate single-nucleotide polymorphisms (SNPs) across nine neurotransmitter-related genes as potential markers for dual diagnosis- the co-occurrence of mental health and substance use disorders. The study integrates published brain expression quantitative trait loci (eQTL) data from GTEx v8, PsychENCODE, and the UK Brain Expression Consortium (UKBEC) to characterize functional consequences of panel SNPs, identifies three convergent mechanistic pathways (dopaminergic reward dysregulation, BDNF neuroplasticity, and NEGR1 affective circuit remodelling), and proposes a provisional polygenic risk score (PRS) framework. All data analyses used publicly available, de-identified genomic data. No primary human subjects data were collected. This is a preprint and has not been peer reviewed.

Zenodo (CERN European Organization for Nuclear Research)
University of Delhi (IN)
Good health and well-being
Openalex Percentile: Top 6%
Genetic Associations and Epidemiology
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