Evidence map›Paper›PMID 28442218›Full record

ArticleAlcohol (Fayetteville, N.Y.)2017

Alignment of the transcriptome with individual variation in animals selectively bred for High Drinking-In-the-Dark (HDID).

Robert Hitzemann, Denesa Oberbeck, Ovidiu Iancu, Priscila Darakjian, Shannon McWeeney, Stephanie Spence, Jason Schlumbohm, Pamela Metten, John Crabbe

Abstract read
In one paragraph

Article in Alcohol (Fayetteville, N.Y.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
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.

Robert HitzemannOregon Health & Science University, Portland, OR, USA; Veterans Affairs Portland Health Care System, Portland, OR, USA.
Denesa OberbeckOregon Health & Science University, Portland, OR, USA.
Ovidiu IancuOregon Health & Science University, Portland, OR, USA. Electronic address: iancuo@ohsu.edu.
Priscila DarakjianOregon Health & Science University, Portland, OR, USA.
Shannon McWeeneyOregon Health & Science University, Portland, OR, USA.
Stephanie SpenceOregon Health & Science University, Portland, OR, USA.
Jason SchlumbohmOregon Health & Science University, Portland, OR, USA.
Pamela MettenVeterans Affairs Portland Health Care System, Portland, OR, USA.
John CrabbeOregon Health & Science University, Portland, OR, USA; Veterans Affairs Portland Health Care System, Portland, OR, USA.

Funding

Translational measures of risk for excessive alcohol consumptionP60AA010760 · NIAAA · OREGON HEALTH & SCIENCE UNIVERSITY · PI Suzanne S. Fei · 2006 to 2026
$34.5M
Selective Breeding for Drinking in the Circadian DarkU01AA013519 · NIAAA · OREGON HEALTH & SCIENCE UNIVERSITY · PI Angela Renee Ozburn · 2001 to 2026
$10.9M
THERMAL AND METABOLIC DYSFUNCTION DURING WITHDRAWALP50AA010760 · NIAAA · OREGON HEALTH AND SCIENCE UNIVERSITY · PI CRABBE, JOHN C. · 1996 to 2005
$10.7M
Neurocircuitry Mapping and Genotyping CoreU01AA013484 · NIAAA · OREGON HEALTH & SCIENCE UNIVERSITY · PI HITZEMANN, ROBERT J. · 2001 to 2021
$6.2M
Mouse Genetic Models for Alcohol ResearchR24AA020245 · NIAAA · OREGON HEALTH & SCIENCE UNIVERSITY · PI PHILLIPS, TAMARA J. · 2011 to 2020
$2.3M
NIAAA NIH HHS P50 AA010760NIAAA NIH HHS P60 AA010760NIAAA NIH HHS R24 AA020245NIAAA NIH HHS U01 AA013484NIAAA NIH HHS U01 AA013519
6 · The paper itself

Abstract

Among animals at risk for excessive ethanol consumption such as the HDID selected mouse lines, there is considerable individual variation in the amount of ethanol consumed and the associated blood ethanol concentrations (BECs). For the HDID lines, this variation occurs even though the residual genetic variation associated with the DID phenotype has been largely exhausted and thus is most likely associated with epigenetic factors. Here we focus on the question of whether the genes associated with individual variation in HDID-1 mice are different from those associated with selection (risk) (Iancu et al., 2013). Thirty-three HDID-1 mice were phenotyped for their BECs at the end of a standard DID trial, were sacrificed 3 weeks later, and RNA-Seq was used to analyze the striatal transcriptome. The data obtained illustrate that there is considerable overlap of the risk and variation gene sets, both focused on the fine-tuning of synaptic plasticity.

Indexed as

DarknessGenetic VariationAlcohol DrinkingAnimalsBehavior, AnimalBlood Alcohol ContentBrainEpigenesis, GeneticEthanolFemaleGene Expression ProfilingGenotypeMaleMiceMice, Inbred C57BLModels, AnimalBlood Alcohol ContentEthanolN-MethylaspartateExcessive ethanol consumptionIndividual variationRisk

Identifiers

PMID28442218
PMCPMC5526361

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.