Evidence map›Paper›PMID 22384394›Full record

ArticleG3 (Bethesda, Md.)2012

Genetic analysis of hematological parameters in incipient lines of the collaborative cross.

Samir N P Kelada, David L Aylor, Bailey C E Peck, Joseph F Ryan, Urraca Tavarez, Ryan J Buus, Darla R Miller, Elissa J Chesler, David W Threadgill, Gary A Churchill and 2 more

Open access · goldAbstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed
7.0field-weighted citation impact, top 3% 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

64 citing papers in PubMed, 98 citations in OpenAlex.

  1. Thrombopoietic agents enhance bone healing in mice, rats, and pigs.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2024
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  7. Genetics of murine type 2 diabetes and comorbidities.Mammalian genome : official journal of the International Mammalian Genome Society · 2022
    Review
  8. Article
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  11. Article
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  13. Review
  14. A comprehensive and comparative phenotypic analysis of the collaborative founder strains identifies new and known phenotypes.Mammalian genome : official journal of the International Mammalian Genome Society · 2020
    Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Review

4 more citing papers are in PubMed but not listed here.

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

12 authors at 5 institutions in 1 country.

Samir N P Kelada
David L Aylor
Bailey C E Peck
Joseph F Ryan
Urraca Tavarez
Ryan J Buus
Darla R Miller
Elissa J Chesler
David W Threadgill
Gary A Churchill
Fernando Pardo-Manuel de Villena
Francis S Collins
Jackson Laboratory · USNational Institutes of Health · USUniversity of North Carolina at Chapel Hill · USNational Human Genome Research Institute · USNorth Carolina State University · US

Funding

UNC and PERLEGEN, IncP50GM076468 · NIGMS · JACKSON LABORATORY · PI SMITH, RANDY VON · 2006 to 2015
$31.0M
Systems Genetic Analysis of Multi-parent CrossesR01GM070683 · NIGMS · JACKSON LABORATORY · PI BROMAN, KARL W, CHURCHILL, GARY A · 2004 to 2022
$6.8M
Modeling heterogeneity for safe cancer prevention and detectionU01CA105417 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI THREADGILL, DAVID W. · 2004 to 2013
$6.7M
Systems Genetics Resource ConsortiumU01CA134240 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI THREADGILL, DAVID W. · 2007 to 2011
$5.4M
Gene-environment interactions in asthma in mice and humansZIAHG200361 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI COLLINS, FRANCIS S. · 2009 to 2012
$2.3M
System Genetics of Male Infertility in the Collaborative CrossF32GM090667 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI AYLOR, DAVID LAWRENCE · 2010 to 2011
$96k
NCI NIH HHS U01 CA105417NCI NIH HHS U01 CA134240NIGMS NIH HHS F32 GM090667NIGMS NIH HHS P50 GM076468NIGMS NIH HHS R01 GM070683
6 · The paper itself

Abstract

Hematological parameters, including red and white blood cell counts and hemoglobin concentration, are widely used clinical indicators of health and disease. These traits are tightly regulated in healthy individuals and are under genetic control. Mutations in key genes that affect hematological parameters have important phenotypic consequences, including multiple variants that affect susceptibility to malarial disease. However, most variation in hematological traits is continuous and is presumably influenced by multiple loci and variants with small phenotypic effects. We used a newly developed mouse resource population, the Collaborative Cross (CC), to identify genetic determinants of hematological parameters. We surveyed the eight founder strains of the CC and performed a mapping study using 131 incipient lines of the CC. Genome scans identified quantitative trait loci for several hematological parameters, including mean red cell volume (Chr 7 and Chr 14), white blood cell count (Chr 18), percent neutrophils/lymphocytes (Chr 11), and monocyte number (Chr 1). We used evolutionary principles and unique bioinformatics resources to reduce the size of candidate intervals and to view functional variation in the context of phylogeny. Many quantitative trait loci regions could be narrowed sufficiently to identify a small number of promising candidate genes. This approach not only expands our knowledge about hematological traits but also demonstrates the unique ability of the CC to elucidate the genetic architecture of complex traits.

Indexed as

complex traitshematologyhemoglobin βmean red cell volumeMouse Collaborative CrossMouse Genetic Resourcemouse geneticsQTLshared ancestry

Identifiers

PMID22384394
PMCPMC3284323
OpenAlexW2002106319

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.