Evidence map›Paper›PMID 40730494›Full record

ArticleAddiction biology2025

Genome Variation in Alcohol Use Disorder by Whole-Exome Sequencing.

Lei Liu, Bo Zhang, Yong Dong, Li Ping Liu, Jing Ying Wang, Jun Liu, Guang Yu Zhou, Chuan Yi Kang, Xiaorui Hu, Chang Cheng and 5 more

Abstract read
In one paragraph

Article in Addiction biology, 2025. 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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. Psychosocial Interventions for Alcohol Use Disorder: A Review of Efficacy, Mechanisms, and Clinical Implications.Medical science monitor : international medical journal of experimental and clinical research · 2026
    Review
  2. Article
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

15 authors.

Lei LiuDepartment of Psychiatry, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
Bo ZhangDepartment of Psychology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.ORCID 0000-0002-3838-4025
Yong DongDepartment of Psychiatry, Changchun Sixth Hospital, Changchun, China.
Li Ping LiuDepartment of Psychiatry, The First Special Hospital of Harbin, Harbin, Heilongjiang, China.
Jing Ying WangDepartment of Psychiatry, Changchun Sixth Hospital, Changchun, China.
Jun LiuThe Third Hospital of Heilongjiang Province, Harbin, Heilongjiang, China.
Guang Yu ZhouShenyang Mental Health Center, Shenyang, Liaoning, China.
Chuan Yi KangDepartment of Psychiatry, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
Xiaorui HuDepartment of Psychiatry, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
Chang ChengDepartment of Psychiatry, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
Na ZhaoDepartment of Psychiatry, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
Jia LuDepartment of Psychiatry, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
Huaizhi WangDepartment of Psychiatry, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
Jian HuDepartment of Psychiatry, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
Xiaohong WangDepartment of Psychiatry, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.

Funding

National Key R&D Program of China 2018YFC1314400National Key R&D Program of China 2018YFC1314402
6 · The paper itself

Abstract

Alcohol use disorder is closely related to genetic and environmental factors. However, the contribution of coding variation to alcohol use disorder susceptibility remains poorly understood. We aimed to identify genetic mutations in alcohol use disorder by whole exon sequencing. We performed whole-exome sequencing in 83 patients with alcohol use disorder and compared it with exome sequences of healthy controls that were collected from the 1000 Genomes Project. GO and KEGG enrichment analysis and protein interaction analysis were performed for the mutated genes in each group. Three online protein function prediction sites were used to predict whether SNPs/InDels cause protein coding changes. Further, we conducted a rare variant exploration. We identified 106 525 SNV and 19 826 InDel gene mutations in alcohol use disorder. In the healthy and alcohol use disorder groups, mutations in CNTNAP3, ZNF683, ALDPH2, CCHCR1, ZNF45 and ESRRA loci were found to be deleterious mutations in all three sites; CNTNAP3, ZNF683, ALDPH2, CCHCR1, ZNF45 and ESRRA may be potential targets for future precision treatment of alcohol use disorders, and further provide new ideas for drug development.

Indexed as

AlcoholismExome SequencingAdultCase-Control StudiesFemaleGenetic Predisposition to DiseaseGenetic VariationHumansINDEL MutationMaleMiddle AgedMutationPolymorphism, Single Nucleotidealcohol use disorderprotein function predictionrare variantsvariantswhole‐exome sequencing

Identifiers

PMID40730494
PMCPMC12307094

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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 Socratic graph.