Evidence map›Paper›PMID 40693020›Full record

ArticleAddiction neuroscience2025

Genomic and Behavioral Signatures of Selection for Ethanol Preference from the Heterogeneous Stock Collaborative Cross Mice - The Central Nucleus of the Amygdala.

Justin Q Anderson, Priscila Darakjian, Robert Hitzemann, Rita Cervera-Juanes, Kip D Zimmerman, Cheryl Reed, Denesa Lockwood, Angela R Ozburn, Tamara J Phillips

Abstract read
In one paragraph

Article in Addiction neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. 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

9 authors.

Justin Q AndersonPortland Alcohol Research Center, Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, OR 97239, USA.
Priscila DarakjianPortland Alcohol Research Center, Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, OR 97239, USA.
Robert HitzemannPortland Alcohol Research Center, Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, OR 97239, USA.
Rita Cervera-JuanesWake Forest University School of Medicine, Department of Translational Neuroscience, Winston-Salem, NC 27157, USA.
Kip D ZimmermanWake Forest University School of Medicine, Center for Precision Medicine, Winston-Salem, NC 27157, USA.
Cheryl ReedPortland Alcohol Research Center, Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, OR 97239, USA.
Denesa LockwoodDepartment of Neurology, Oregon Health & Science University, Portland, OR 97239, USA.
Angela R OzburnPortland Alcohol Research Center, Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, OR 97239, USA.
Tamara J PhillipsPortland Alcohol Research Center, Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, OR 97239, USA.

Funding

Translational measures of risk for excessive alcohol consumptionP60AA010760 · NIAAA · OREGON HEALTH & SCIENCE UNIVERSITY · PI TAMARA J. PHILLIPS · 2006 to 2026
$34.5M
BIOLOGICAL BASES OF ALCOHOLISMT32AA007468 · NIAAA · OREGON HEALTH & SCIENCE UNIVERSITY · PI Andrey E Ryabinin · 1987 to 2026
$11.3M
Selective Breeding for Drinking in the Circadian DarkU01AA013519 · NIAAA · OREGON HEALTH & SCIENCE UNIVERSITY · PI Angela Renee Ozburn · 2001 to 2026
$10.9M
Distinguishing preexistent and induced epigenetic risk for alcohol use disordersR01AA026278 · NIAAA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI CERVERA JUANES, RITA P · 2019 to 2023
$3.2M
Identifying new targets for the treatment of alcohol dependence and relapse: epigenetic analysis of the abstinent brainR01AA027552 · NIAAA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI CERVERA JUANES, RITA P · 2020 to 2024
$2.6M
High Performance Computing and Machine Learning Infrastructure for Oregon Life SciencesS10OD034224 · OD · OREGON HEALTH & SCIENCE UNIVERSITY · PI ELLROTT, KYLE · 2023 to 2023
$2.0M
BLRD VA I01 BX004699BLRD VA IK6 BX006342NIAAA NIH HHS L70 AA031860NIAAA NIH HHS P60 AA010760NIAAA NIH HHS R01 AA026278NIAAA NIH HHS R01 AA027552NIAAA NIH HHS T32 AA007468NIAAA NIH HHS U01 AA013519NIH HHS S10 OD034224
6 · The paper itself

Abstract

Alcohol use disorder (AUD) is a complex disease with heritability of ~0.5, indicating genetic and non-genetic factors contribute to risk. Identifying gene expression networks contributing to risk using post-mortem human brain tissue has the limitation of conflating risk for AUD with consequences of alcohol use. We leveraged mice selectively bred for differential ethanol preference from a highly genetically diverse population to overcome this limitation. Ethanol intake was highly correlated with preference, high-preferring (HP) mice consumed more sweet-but not bitter-tasting solutions compared to low-preferring (LP) mice, and the lines did not differ in rate of ethanol elimination. Adult, ethanol-naïve HP and LP mice contributed tissue from the central nucleus of the amygdala (CeA), a region critical to ethanol preference and intake. Single-nuclei and bulk RNA sequencing data were used to identify cell types and transcriptome changes related to selective breeding for differential risk for ethanol preference. Single nuclei analysis identified populations of inhibitory (~48% of cells) and excitatory (~23%) neurons, and non-neuronal (~29%) cells, but no differences in cell-type composition or gene expression were identified between the lines. Bulk CeA analysis identified differences between the lines for: (1) gene expression (2996 genes), (2) expression variability (426 genes), and (3) wiring (407 significant gene-gene correlations). Overall, lower variance was found in the HP line. Reduced gene-gene correlation, also found in HP mice, suggested that selection for high preference induced changes in transcriptional regulation resulting in reduced connectivity, specific to gene networks enriched in markers for inhibitory neurons expressing

Identifiers

PMID40693020
PMCPMC12276883

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Registered trials

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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.