Evidence map›Paper›PMID 25236452›Full record

ArticleGenetics2014

High-resolution genetic mapping of complex traits from a combined analysis of F2 and advanced intercross mice.

Clarissa C Parker, Peter Carbonetto, Greta Sokoloff, Yeonhee J Park, Mark Abney, Abraham A Palmer

Open access · bronzeAbstract read
In one paragraph

Article in Genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 8% 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

32 citing papers in PubMed, 1 synthesis or guideline pooled it, 51 citations in OpenAlex.

  1. Pooled it
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  17. Using Heterogeneous Stocks for Fine-Mapping Genetically Complex Traits.Methods in molecular biology (Clifton, N.J.) · 2019
    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

6 authors at 2 institutions in 1 country.

Clarissa C ParkerDepartment of Psychology and Program in Neuroscience, Middlebury College, Middlebury, Vermont 05753.
Peter CarbonettoDepartment of Human Genetics, The University of Chicago, Chicago, Illinois 60637.
Greta SokoloffDepartment of Human Genetics, The University of Chicago, Chicago, Illinois 60637.
Yeonhee J ParkDepartment of Human Genetics, The University of Chicago, Chicago, Illinois 60637.
Mark AbneyDepartment of Human Genetics, The University of Chicago, Chicago, Illinois 60637.
Abraham A PalmerDepartment of Human Genetics, The University of Chicago, Chicago, Illinois 60637 Department of Psychiatry and Behavioral Neuroscience, The University of Chicago, Chicago, Illinois 60637 aap@uchicago.edu.
University of Chicago · USMiddlebury College · US

Funding

Re-Engineering Translational Research at the University of ChicagoUL1TR000430 · NCATS · UNIVERSITY OF CHICAGO · PI SOLWAY, JULIAN · 2012 to 2016
$20.2M
Methods for Complex Trait Mapping in Large PedigreesR01HG002899 · NHGRI · UNIVERSITY OF CHICAGO · PI ABNEY, MARK A · 2004 to 2015
$3.5M
FINDING GENES THAT CAUSE QLT FOR FEAR LEARNING AND ANXIETYR01MH079103 · NIMH · UNIVERSITY OF CHICAGO · PI PALMER, ABRAHAM A · 2007 to 2011
$1.9M
NCATS NIH HHS UL1 TR000430NHGRI NIH HHS R01 HG002899NHGRI NIH HHS R01HG002899NIMH NIH HHS 5R01MH079103NIMH NIH HHS R01 MH079103
6 · The paper itself

Abstract

Genetic influences on anxiety disorders are well documented; however, the specific genes underlying these disorders remain largely unknown. To identify quantitative trait loci (QTL) for conditioned fear and open field behavior, we used an F2 intercross (n = 490) and a 34th-generation advanced intercross line (AIL) (n = 687) from the LG/J and SM/J inbred mouse strains. The F2 provided strong support for several QTL, but within wide chromosomal regions. The AIL yielded much narrower QTL, but the results were less statistically significant, despite the larger number of mice. Simultaneous analysis of the F2 and AIL provided strong support for QTL and within much narrower regions. We used a linear mixed-model approach, implemented in the program QTLRel, to correct for possible confounding due to familial relatedness. Because we recorded the full pedigree, we were able to empirically compare two ways of accounting for relatedness: using the pedigree to estimate kinship coefficients and using genetic marker estimates of "realized relatedness." QTL mapping using the marker-based estimates yielded more support for QTL, but only when we excluded the chromosome being scanned from the marker-based relatedness estimates. We used a forward model selection procedure to assess evidence for multiple QTL on the same chromosome. Overall, we identified 12 significant loci for behaviors in the open field and 12 significant loci for conditioned fear behaviors. Our approach implements multiple advances to integrated analysis of F2 and AILs that provide both power and precision, while maintaining the advantages of using only two inbred strains to map QTL.

Indexed as

Quantitative Trait LociAnimalsAnxietyChromosome MappingChromosomesConditioning, ClassicalFearFemaleHybridization, GeneticMaleMiceMice, Inbred StrainsPedigreePolymorphism, Single Nucleotideadvanced intercross lineAdvanced Intercross Lineanxietycomplex traitsconditioned feargenome-wide association study (GWAS)GWASmixed modelsMPPMultiparent Advanced Generation Inter-Cross (MAGIC)Multiparental populationsQTL mappingquantitative geneticssingle nucleotide polymorphism (SNP)

Identifiers

PMID25236452
PMCPMC4174923
OpenAlexW2064063991

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.