Evidence map›Paper›PMID 37753566›Full record

ArticleAddiction biology2023

Analysis of the brain transcriptome for substance-associated genes: An update on large-scale genome-wide association studies.

Yihong Zhao, Xuewei Han, Zhi-Liang Zheng

Abstract read
In one paragraph

Article in Addiction biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Yihong ZhaoColumbia University School of Nursing, New York, New York, USA.
Xuewei HanColumbia University School of Nursing, New York, New York, USA.
Zhi-Liang ZhengDepartment of Biological Sciences, Lehman College, City University of New York, Bronx, New York, USA.ORCID 0000-0001-9908-6972

Funding

Cortical subcortical reorganization and risk behaviors of early alcohol use initiationR01AA029611 · NIAAA · YALE UNIVERSITY · PI POTENZA, MARC N, ZHAO, YIHONG · 2021 to 2025
$1.7M
Use of advanced analytics to understand brain-behavior screen media activity relationships in ABCD dataRF1MH128614 · NIMH · YALE UNIVERSITY · PI POTENZA, MARC N, ZHAO, YIHONG · 2021 to 2021
$1.3M
NIAAA NIH HHS R01 AA029611NIMH NIH HHS RF1 MH128614
6 · The paper itself

Abstract

Substance use disorder (SUD) arises from the initiation to subsequent regular, irregular and harmful use of substances such as alcohol, tobacco/nicotine and cannabis. While thousands of genetic variants have been identified from recent large-scale genome-wide association studies (GWAS), understanding their functions in substance involvement and investigating the mechanisms by which they act in the addiction circuits remains challenging. In this study, we re-analysed the brain regional transcriptome data from the most comprehensive postmortem transcriptomic study, with a focus on up- or down-regulation of substance-associated protein-coding genes in the addiction circuit-related brain regions (AddictRegions), including six cortical and 11 subcortical regions. We found that substance-associated genes were overrepresented in AddictRegions. Interestingly, we observed a greater degree of genetic overlap between initiation and use and between use and SUD than between initiation and SUD. Moreover, substance initiation, use and SUD-associated genes tend to shift their enriched AddictRegions from the cortical for initiation and, to a lesser extent, substance use to subcortical regions for SUD (e.g., thalamus, substantia nigra and ventral tegmental area). We also uncovered a pattern of coordinated cortical up-regulation and subcortical down-regulation for the genes associated with tobacco initiation and alcohol use. Moreover, the Gene Ontology terms of glutamate receptor activity and neurotransmitter binding were most significantly overrepresented in AddictRegion-upregulated, substance-associated genes, with the strongest enrichment for those involved in common substance use behaviours. Overall, our analysis provides a resource of AddictRegion-related transcriptomes for studying substance-associated genes and generates intriguing insights into the genetic control of substance initiation, use and SUD.

Indexed as

Genome-Wide Association StudyTranscriptomeBrainCognitionGene Expression Profilingbrain regiongenome-wide association studysubstance addiction

Identifiers

PMID37753566
PMCPMC10539015

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.