Evidence map›Paper›PMID 27651241›Full record

ArticleMammalian genome : official journal of the International Mammalian Genome Society2016

Genome characterization of the selected long- and short-sleep mouse lines.

Robin Dowell, Aaron Odell, Phillip Richmond, Daniel Malmer, Eitan Halper-Stromberg, Beth Bennett, Colin Larson, Sonia Leach, Richard A Radcliffe

Open access · hybridAbstract read
In one paragraph

Article in Mammalian genome : official journal of the International Mammalian Genome Society, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 18% of its field
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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
  3. Prediction of Locomotor Activity by Infrared Motion Detector on Sleep-wake State in Mice.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2021
    Article
  4. Article
  5. 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 at 4 institutions in 1 country.

Robin DowellBioFrontiers Institute, University of Colorado Boulder, Boulder, CO, 80309, USA. Robin.Dowell@colorado.edu.
Aaron OdellBioFrontiers Institute, University of Colorado Boulder, Boulder, CO, 80309, USA.
Phillip RichmondBioFrontiers Institute, University of Colorado Boulder, Boulder, CO, 80309, USA.
Daniel MalmerDepartment of Computer Science, University of Colorado Boulder, Boulder, CO, 80309, USA.
Eitan Halper-StrombergCenter for Genes, Environment and Health, National Jewish Health, Denver, CO, 80206, USA.
Beth BennettSkaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado, Aurora, CO, 80045, USA.
Colin LarsonSkaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado, Aurora, CO, 80045, USA.
Sonia LeachCenter for Genes, Environment and Health, National Jewish Health, Denver, CO, 80206, USA.
Richard A RadcliffeSkaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado, Aurora, CO, 80045, USA. Richard.Radcliffe@ucdenver.edu.
University of Colorado Boulder · USUniversity of Colorado Anschutz Medical Campus · USNational Jewish Health · USUniversity of Colorado Denver · US

Funding

Genetic Studies of Alcohol ToleranceR01AA016957 · NIAAA · UNIVERSITY OF COLORADO DENVER · PI RADCLIFFE, RICHARD A · 2009 to 2013
$2.5M
A High-memory Supercomputer for Proteomics, Text Mining and Microbiome ResearchS10OD012300 · OD · UNIVERSITY OF COLORADO · PI AHN, NATALIE G. · 2013 to 2013
$1.9M
NIAAA NIH HHS R01 AA016957NIH HHS S10 OD012300
6 · The paper itself

Abstract

The Inbred Long- and Short-Sleep (ILS, ISS) mouse lines were selected for differences in acute ethanol sensitivity using the loss of righting response (LORR) as the selection trait. The lines show an over tenfold difference in LORR and, along with a recombinant inbred panel derived from them (the LXS), have been widely used to dissect the genetic underpinnings of acute ethanol sensitivity. Here we have sequenced the genomes of the ILS and ISS to investigate the DNA variants that contribute to their sensitivity difference. We identified ~2.7 million high-confidence SNPs and small indels and ~7000 structural variants between the lines; variants were found to occur in 6382 annotated genes. Using a hidden Markov model, we were able to reconstruct the genome-wide ancestry patterns of the eight inbred progenitor strains from which the ILS and ISS were derived, and found that quantitative trait loci that have been mapped for LORR were slightly enriched for DNA variants. Finally, by mapping and quantifying RNA-seq reads from the ILS and ISS to their strain-specific genomes rather than to the reference genome, we found a substantial improvement in a differential expression analysis between the lines. This work will help in identifying and characterizing the DNA sequence variants that contribute to the difference in ethanol sensitivity between the ILS and ISS and will also aid in accurate quantification of RNA-seq data generated from the LXS RIs.

Indexed as

AnimalsChromosome MappingEthanolGenomeHumansMaleMicePhenotypePolymorphism, Single NucleotideQuantitative Trait LociSleepEthanol

Identifiers

PMID27651241
PMCPMC5110614
OpenAlexW2522713495

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.