Evidence map›Paper›PMID 32074270›Full record

ArticleSleep2020

High-throughput sleep phenotyping produces robust and heritable traits in Diversity Outbred mice and their founder strains.

Brendan T Keenan, Raymond J Galante, Jie Lian, Petr Simecek, Daniel M Gatti, Lin Zhang, Diane C Lim, Karen L Svenson, Gary A Churchill, Allan I Pack

Open access · bronzeAbstract read
In one paragraph

Article in Sleep, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.8field-weighted citation impact, top 7% 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

19 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Fifteen years of the Diversity Outbred mouse model: a review.Mammalian genome : official journal of the International Mammalian Genome Society · 2026
    Review
  3. Combinatorial targeting of NMDARs and 5-HTAlzheimer's research & therapy · 2025
    Article
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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

10 authors at 3 institutions in 2 countries.

Brendan T KeenanDivision of Sleep Medicine, Department of Medicine, University of Pennsylvania, Philadelphia, PA.
Raymond J GalanteDivision of Sleep Medicine, Department of Medicine, University of Pennsylvania, Philadelphia, PA.
Jie LianDivision of Sleep Medicine, Department of Medicine, University of Pennsylvania, Philadelphia, PA.
Petr SimecekCentral European Institute of Technology, Masaryk University, Brno, Czech Republic.
Daniel M GattiJackson Laboratory, Bar Harbor, ME.
Lin ZhangDivision of Sleep Medicine, Department of Medicine, University of Pennsylvania, Philadelphia, PA.
Diane C LimDivision of Sleep Medicine, Department of Medicine, University of Pennsylvania, Philadelphia, PA.
Karen L SvensonJackson Laboratory, Bar Harbor, ME.
Gary A ChurchillJackson Laboratory, Bar Harbor, ME.
Allan I PackDivision of Sleep Medicine, Department of Medicine, University of Pennsylvania, Philadelphia, PA.
University of Pennsylvania · USJackson Laboratory · USCentral European Institute of Technology · CZ

Funding

Understanding the relationship between obesity and tongue fat in humans and ratsP01HL094307 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI PACK, ALLAN I · 2009 to 2020
$23.7M
Systems Genetic Analysis of Multi-parent CrossesR01GM070683 · NIGMS · JACKSON LABORATORY · PI BROMAN, KARL W, CHURCHILL, GARY A · 2004 to 2022
$6.8M
Genetic Approaches to Sleep/Wake and Response to Sleep Loss in MiceR01HL111725 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI PACK, ALLAN I · 2012 to 2015
$1.7M
NHLBI NIH HHS P01 HL094307NHLBI NIH HHS R01 HL111725NIGMS NIH HHS R01 GM070683
6 · The paper itself

Abstract

STUDY

objectivesThis study describes high-throughput phenotyping strategies for sleep and circadian behavior in mice, including examinations of robustness, reliability, and heritability among Diversity Outbred (DO) mice and their eight founder strains.

methodsWe performed high-throughput sleep and circadian phenotyping in male mice from the DO population (n = 338) and their eight founder strains: A/J (n = 6), C57BL/6J (n = 14), 129S1/SvlmJ (n = 6), NOD/LtJ (n = 6), NZO/H1LtJ (n = 6), CAST/EiJ (n = 8), PWK/PhJ (n = 8), and WSB/EiJ (n = 6). Using infrared beam break systems, we defined sleep as at least 40 s of continuous inactivity and quantified sleep-wake amounts and bout characteristics. We developed assays to measure sleep latency in a new environment and during a modified Murine Multiple Sleep Latency Test, and estimated circadian period from wheel-running experiments. For each trait, broad-sense heritability (proportion of variability explained by all genetic factors) was derived in founder strains, while narrow-sense heritability (proportion of variability explained by additive genetic effects) was calculated in DO mice.

resultsPhenotypes were robust to different inactivity durations to define sleep. Differences across founder strains and moderate/high broad-sense heritability were observed for most traits. There was large phenotypic variability among DO mice, and phenotypes were reliable, although estimates of heritability were lower than in founder mice. This likely reflects important nonadditive genetic effects.

conclusionsA high-throughput phenotyping strategy in mice, based primarily on monitoring of activity patterns, provides reliable and heritable estimates of sleep and circadian traits. This approach is suitable for discovery analyses in DO mice, where genetic factors explain some proportion of phenotypic variation.

Indexed as

Collaborative Cross MiceSleepAnimalsMaleMiceMice, Inbred C57BLMice, Inbred NODMice, Inbred StrainsPhenotypeReproducibility of Resultscircadian periodDiversity Outbred micegeneticshigh-throughput phenotypingmodified Murine Multiple Sleep Latency Testsleepsleep latency in new environment

Identifiers

PMID32074270
PMCPMC7215270
OpenAlexW3007823199

What OpenQuestion holds

Textmetadata
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.