Evidence map›Paper›PMID 27933519›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2017

Heterogeneous Stock Populations for Analysis of Complex Traits.

Leah C Solberg Woods, Richard Mott

Abstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
–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

38 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Establishing the hybrid rat diversity program: a resource for dissecting complex traits.Mammalian genome : official journal of the International Mammalian Genome Society · 2025
    Article
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  15. Genetic background in the rat affects endocrine and metabolic outcomes of bisphenol F exposure.Toxicological sciences : an official journal of the Society of Toxicology · 2023
    Article
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  18. Review
  19. Review
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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

2 authors.

Leah C Solberg WoodsMedical College of Wisconsin, 8701 Watertown Plank Road, Milwaukee, WI, 53130, USA. lsolberg@mcw.edu.
Richard MottUCL Genetics Institute, University College London, Gower St., London, WC1E 6BT, UK.

Funding

Sequencing CoreP50DA037844 · NIDA · UNIVERSITY OF CHICAGO · PI MEYER, PAUL J · 2014 to 2023
$27.4M
Systems Genetics of Adiposity Traits in Outbred RatsR01DK106386 · NIDDK · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI SOLBERG WOODS, LEAH CATHERINE · 2015 to 2018
$2.6M
NIDA NIH HHS P50 DA037844NIDDK NIH HHS R01 DK106386
6 · The paper itself

Abstract

Heterogeneous Stock (HS) populations allow for fine-resolution genetic mapping of a variety of complex traits. HS mice and rats were created from breeding together eight inbred strains, followed by maintaining the colony in a manner that minimizes inbreeding. After 50 or more generations of breeding, the resulting animals' chromosomes represent a genetic mosaic of the founders' haplotypes, with the average distance between recombination events in the centiMorgan range. This allows for genetic mapping to only a few Mb, a much smaller region than what can be identified using traditional F2 intercross or backcross mapping strategies. HS animals have been used to fine-map a variety of complex traits including anxiety and fear behaviors, diabetes, asthma, and heart disease, among others. Once a quantitative trait locus (QTL) has been identified, founder sequence and expression analysis can be used to identify underlying causal genes. In the following review, we provide an overview of how HS rats and mice have been used to identify genetic loci, and in some cases the causal genes, underlying complex traits. We discuss the creation and breeding strategies for both HS rats and mice. We then discuss the statistical analyses used to identify genetic loci, as well as strategies to identify causal genes underlying these loci. We end the chapter by discussing limitations faced when using HS populations, including several statistical challenges that have not been fully resolved.

Indexed as

Genetics, PopulationGenetic TechniquesAnimalsBreedingChromosome MappingGenetic Association StudiesGenetic VariationMiceModels, GeneticModels, StatisticalQuantitative Trait LociRatsExpression analysisGenetic mappingOutbred mice and ratsResources for systems genetics

Identifiers

PMID27933519
PMCPMC5869698

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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.