Evidence map›Paper›PMID 38168347›Full record

ArticlebioRxiv : the preprint server for biology2023

Genome-wide association study of delay discounting in Heterogenous Stock rats.

Montana Kay Lara, Apurva S Chitre, Denghui Chen, Benjamin B Johnson, Khai-Minh Nguyen, Katarina A Cohen, Sakina A Muckadam, Bonnie Lin, Shae Ziegler, Angela Beeson and 5 more

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. 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, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 3 institutions in 1 country.

Montana Kay LaraDepartment of Psychiatry, University of California San Diego, La Jolla, CA, 92093, USA.ORCID 0000-0001-5810-4425
Apurva S ChitreDepartment of Psychiatry, University of California San Diego, La Jolla, CA, 92093, USA.ORCID 0000-0003-1709-9214
Denghui ChenDepartment of Psychiatry, University of California San Diego, La Jolla, CA, 92093, USA.ORCID 0000-0002-6541-3418
Benjamin B JohnsonDepartment of Psychiatry, University of California San Diego, La Jolla, CA, 92093, USA.ORCID 0000-0001-7269-5145
Khai-Minh NguyenDepartment of Psychiatry, University of California San Diego, La Jolla, CA, 92093, USA.ORCID 0000-0003-3939-7773
Katarina A CohenDepartment of Psychiatry, University of California San Diego, La Jolla, CA, 92093, USA.
Sakina A MuckadamDepartment of Psychiatry, University of California San Diego, La Jolla, CA, 92093, USA.ORCID 0009-0002-0717-0507
Bonnie LinDepartment of Psychiatry, University of California San Diego, La Jolla, CA, 92093, USA.
Shae ZieglerDepartment of Psychiatry, University of California San Diego, La Jolla, CA, 92093, USA.ORCID 0009-0005-6006-2996
Angela BeesonDepartment of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC, 27157, USA.ORCID 0000-0002-4388-5983
Thiago SanchesDepartment of Psychiatry, University of California San Diego, La Jolla, CA, 92093, USA.
Leah C Solberg WoodsDepartment of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC, 27157, USA.ORCID 0000-0002-7943-798X
Oksana PolesskayaDepartment of Psychiatry, University of California San Diego, La Jolla, CA, 92093, USA.ORCID 0000-0003-3024-114X
Abraham A PalmerDepartment of Psychiatry, University of California San Diego, La Jolla, CA, 92093, USA.ORCID 0000-0003-3634-0747
Suzanne H MitchellDepartments of Behavioral Neuroscience, Psychiatry, the Oregon Institute of Occupational Health Sciences, Oregon Health & Science University, Portland, OR, 97239 USA.ORCID 0000-0002-0225-7200
University of California San Diego · USWake Forest University · USOregon Health & Science University · US

Funding

Translational measures of risk for excessive alcohol consumptionP60AA010760 · NIAAA · OREGON HEALTH & SCIENCE UNIVERSITY · PI TAMARA J. PHILLIPS · 2006 to 2026
$34.5M
Sequencing CoreP50DA037844 · NIDA · UNIVERSITY OF CHICAGO · PI PALMER, ABRAHAM A · 2014 to 2023
$27.4M
The role of structural variants and tandem repeats in substance abuse-related behavioral traitsU01DA051234 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GYMREK, MELISSA, PALMER, ABRAHAM A · 2021 to 2025
$3.5M
Identification of genetic features of delay discounting using a heterogeneous stock rat modelU01DA046077 · NIDA · OREGON HEALTH & SCIENCE UNIVERSITY · PI MITCHELL, SUZANNE H · 2018 to 2022
$2.5M
NIAAA NIH HHS P60 AA010760NIDA NIH HHS P50 DA037844NIDA NIH HHS U01 DA046077NIDA NIH HHS U01 DA051234
6 · The paper itself

Abstract

Delay discounting refers to the behavioral tendency to devalue rewards as a function of their delay in receipt. Heightened delay discounting has been associated with substance use disorders, as well as multiple co-occurring psychopathologies. Genetic studies in humans and animal models have established that delay discounting is a heritable trait, but only a few specific genes have been associated with delay discounting. Here, we aimed to identify novel genetic loci associated with delay discounting through a genome-wide association study (GWAS) using Heterogenous Stock rats, a genetically diverse outbred population derived from eight inbred founder strains. We assessed delay discounting in 650 male and female rats using an adjusting amount procedure in which rats chose between smaller immediate sucrose rewards or a larger reward at variable delays. Preference switch points were calculated for each rat and both exponential and hyperbolic functions were fitted to these indifference points. Area under the curve (AUC) and the discounting parameter

Indexed as

adjusting amountDelay discountingGWASHeterogenous Stock rats

Identifiers

PMID38168347
PMCPMC10760013
OpenAlexW4389669196

What OpenQuestion 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 OpenQuestion graph.