Evidence map›Paper›PMID 25344410›Full record

ArticleG3 (Bethesda, Md.)2014

High-resolution genetic mapping in the diversity outbred mouse population identifies Apobec1 as a candidate gene for atherosclerosis.

Tangi L Smallwood, Daniel M Gatti, Pamela Quizon, George M Weinstock, Kuo-Chen Jung, Liyang Zhao, Kunjie Hua, Daniel Pomp, Brian J Bennett

Open access · goldAbstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
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

41 citing papers in PubMed, 55 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Fifteen years of the Diversity Outbred mouse model: a review.Mammalian genome : official journal of the International Mammalian Genome Society · 2026
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Modeling human heterogeneity of obesity with diversity outbred mice reveals a fat mass-dependent therapeutic window for resolvin E1.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2022
    Article
  13. Article
  14. Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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 3 institutions in 1 country.

Tangi L SmallwoodDepartment of Genetics, University of North Carolina Chapel Hill, North Carolina 27599.
Daniel M GattiThe Jackson Laboratory, Bar Harbor, Maine 04609.
Pamela QuizonNutrition Research Institute, University of North Carolina Kannapolis, North Carolina 28081.
George M WeinstockThe Jackson Laboratory for Genomic Medicine, Farmington Connecticut 06030.
Kuo-Chen JungDepartment of Genetics, University of North Carolina Chapel Hill, North Carolina 27599.
Liyang ZhaoDepartment of Nutrition, University of North Carolina Chapel Hill, North Carolina 27599.
Kunjie HuaDepartment of Genetics, University of North Carolina Chapel Hill, North Carolina 27599.
Daniel PompDepartment of Genetics, University of North Carolina Chapel Hill, North Carolina 27599 Department of Nutrition, University of North Carolina Chapel Hill, North Carolina 27599.
Brian J BennettDepartment of Genetics, University of North Carolina Chapel Hill, North Carolina 27599 Nutrition Research Institute, University of North Carolina Kannapolis, North Carolina 28081 Department of Nutrition, University of North Carolina Chapel Hill, North Carolina 27599 bennettb@email.unc.edu.
University of North Carolina at Chapel Hill · USJackson Laboratory · USDavid H. Murdock Research Institute · US

Funding

UNIV OF NORTH CAROLINA CLINICAL NUTRITION RESEARCH UNITP30DK056350 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SUSAN M. SMITH · 1999 to 2026
$31.6M
Sequencing the Human MicrobiomeU54HG004968 · NHGRI · WASHINGTON UNIVERSITY · PI WILSON, RICHARD K. · 2009 to 2012
$16.7M
Systems Genetic Analysis of Multi-parent CrossesR01GM070683 · NIGMS · JACKSON LABORATORY · PI BROMAN, KARL W, CHURCHILL, GARY A · 2004 to 2022
$6.8M
NRSA IN GENETICST32GM007092 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SEKELSKY, JEFF J. · 1985 to 2019
$5.9M
High-Resolution Systems Genetic Studies of Atherosclerotic Lesion CompositionR00HL102223 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BENNETT, BRIAN JOSEPH · 2012 to 2014
$714k
NHGRI NIH HHS U54 HG004968NHGRI NIH HHS U54HG004968NHLBI NIH HHS R00 HL102223NHLBI NIH HHS R00HL102223NIDDK NIH HHS P30 DK056350NIDDK NIH HHS P30DK056350NIGMS NIH HHS R01 GM070683NIGMS NIH HHS R01GM070683NIGMS NIH HHS T32 GM007092
6 · The paper itself

Abstract

Inbred mice exhibit strain-specific variation in susceptibility to atherosclerosis and dyslipidemia that renders them useful in dissecting the genetic architecture of these complex diseases. Traditional quantitative trait locus (QTL) mapping studies using inbred strains often identify large genomic regions, containing many genes, due to limited recombination and/or sample size. This hampers candidate gene identification and translation of these results into possible risk factors and therapeutic targets. An alternative approach is the use of multiparental outbred lines for genetic mapping, such as the Diversity Outbred (DO) mouse panel, which can be more informative than traditional two-parent crosses and can aid in the identification of causal genes and variants associated with QTL. We fed 292 female DO mice either a high-fat, cholesterol-containing (HFCA) diet, to induce atherosclerosis, or a low-fat, high-protein diet for 18 wk and measured plasma lipid levels before and after diet treatment. We measured markers of atherosclerosis in the mice fed the HFCA diet. The mice were genotyped on a medium-density single-nucleotide polymorphism array and founder haplotypes were reconstructed using a hidden Markov model. The reconstructed haplotypes were then used to perform linkage mapping of atherosclerotic lesion size as well as plasma total cholesterol, triglycerides, insulin, and glucose. Among our highly significant QTL we detected a ~100 kb QTL interval for atherosclerosis on Chromosome 6, as well as a 1.4 Mb QTL interval on Chromosome 9 for triglyceride levels at baseline and a coincident 22.2 Mb QTL interval on Chromosome 9 for total cholesterol after dietary treatment. One candidate gene within the Chromosome 6 peak region associated with atherosclerosis is Apobec1, the apolipoprotein B (ApoB) mRNA-editing enzyme, which plays a role in the regulation of ApoB, a critical component of low-density lipoprotein, by editing ApoB mRNA. This study demonstrates the value of the DO population to improve mapping resolution and to aid in the identification of potential therapeutic targets for cardiovascular disease. Using a DO mouse population fed an HFCA diet, we were able to identify an A/J-specific isoform of Apobec1 that contributes to atherosclerosis.

Indexed as

AnimalsAPOBEC-1 DeaminaseAtherosclerosisBlood GlucoseCholesterolChromosome MappingCytidine DeaminaseDiet, High-FatFemaleGenomeGenotypeHaplotypesInsulinMarkov ChainsMiceMice, Inbred StrainsAPOBEC-1 DeaminaseApobec1 protein, mouseBlood GlucoseCholesterolCytidine DeaminaseInsulinProtein IsoformsRNA, MessengerTriglyceridesatherosclerosislipoproteinsMPPMultiparent Advanced Generation Inter-Cross (MAGIC)multiparental modelsmultiparental populationsquantitative trait loci

Identifiers

PMID25344410
PMCPMC4267931
OpenAlexW2101762508

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.