Evidence map›Paper›PMID 41358306›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Shared Genetic Architecture and Neurobiological Pathways of Problematic Alcohol Use and Anxiety Disorders.

Mingjian Shi, Tommy Gunawan, Samantha G Malone, Michael Setzer, Zachary Piserchia, Christal N Davis, Christopher T Rentsch, Eleni Friligkou, Hang Zhou, Renato Polimanti and 4 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Mingjian ShiDepartment of Medical and Clinical Psychology, Uniformed Services University, Bethesda, MD, 20814, US.
Tommy GunawanDepartment of Medical and Clinical Psychology, Uniformed Services University, Bethesda, MD, 20814, US.
Samantha G MaloneDepartment of Medical and Clinical Psychology, Uniformed Services University, Bethesda, MD, 20814, US.
Michael SetzerDepartment of Medical and Clinical Psychology, Uniformed Services University, Bethesda, MD, 20814, US.
Zachary PiserchiaDepartment of Medical and Clinical Psychology, Uniformed Services University, Bethesda, MD, 20814, US.
Christal N DavisCrescenz Veterans Affairs Medical Center and University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, US.
Christopher T RentschVA Connecticut Healthcare System, US Department of Veterans Affairs, West Haven, CT, 06516, US.
Eleni FriligkouVA Connecticut Healthcare System, US Department of Veterans Affairs, West Haven, CT, 06516, US.
Hang ZhouVA Connecticut Healthcare System, US Department of Veterans Affairs, West Haven, CT, 06516, US.
Renato PolimantiVA Connecticut Healthcare System, US Department of Veterans Affairs, West Haven, CT, 06516, US.
Lu WangVA Connecticut Healthcare System, US Department of Veterans Affairs, West Haven, CT, 06516, US.
Nataraja Sarma VaitinadinUniversity of Michigan Medical Center, Ann Arbor, MI 48109, US.
Henry R KranzlerCrescenz Veterans Affairs Medical Center and University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, US.
Joshua C GrayDepartment of Medical and Clinical Psychology, Uniformed Services University, Bethesda, MD, 20814, US.

Funding

Leveraging genomic data to dissect the association of internalizing disorders with the risk, onset, and vulnerability of COVID-19RF1MH132337 · NIMH · YALE UNIVERSITY · PI POLIMANTI, RENATO · 2022 to 2022
$3.7M
Leveraging GWAS Findings to Map Variants and Identify Novel Effector Genes for Alcohol-Related TraitsR01AA030056 · NIAAA · UNIVERSITY OF PENNSYLVANIA · PI Struan F A Grant, MATTHEW S KAYSER · 2023 to 2026
$2.5M
Leveraging genetic and electronic health records data to identify novel targets and drugs for treating alcoholR01AA030041 · NIAAA · HENRY M. JACKSON FDN FOR THE ADV MIL/MED · PI GRAY, JOSHUA CHARLES · 2022 to 2025
$2.3M
BLRD VA I01 BX004820NIAAA NIH HHS R01 AA030041NIAAA NIH HHS R01 AA030056NIMH NIH HHS RF1 MH132337
6 · The paper itself

Abstract

Background: Problematic alcohol use (PAU) and anxiety disorders (ANX) frequently co-occur, implying shared genetic and neurobiological foundations. However, the directionality of potential causal relationships and the specific mechanisms underlying the overlap remain unclear. Thus, we investigated the shared genetic architecture and neurobiological pathways between PAU and ANX using a multimethod genomic approach. Methods: We analyzed summary statistics from genome-wide association studies (GWAS) of PAU and ANX using Mendelian randomization to assess causal associations between ANX and PAU. We used MiXeR to assess the overall shared genomic architecture, Local Analysis of (co)Variant Association to estimate regional genetic correlations, and conjunctional false discovery rate (conjFDR) to identify individual overlapping loci. We used FUMA to map single-nucleotide polymorphisms (SNPs) to independent loci, conduct differential gene expression analyses across 30 general and 54 specific tissue types, and perform cell-type specificity analyses using a human brain cell atlas. Druggability of identified targets was also evaluated. Results: Mendelian randomization analyses indicated bidirectional causal associations between ANX and PAU. MiXeR identified moderate polygenic overlap (52.5%) and genetic correlation ( Conclusions: We found substantial genetic and neurobiological overlap of PAU and ANX, highlighting reciprocal, causal relationships between the traits, with differentially expressed genes enriched in addiction- and anxiety-relevant brain regions. These findings support shared underlying causal mechanisms linking the two conditions.

Identifiers

PMID41358306
PMCPMC12676416

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.