Evidence map›Paper›PMID 20577049›Full record

ArticleThe Journal of clinical investigation2010

Identification and validation of genes affecting aortic lesions in mice.

Xia Yang, Larry Peterson, Rolf Thieringer, Joshua L Deignan, Xuping Wang, Jun Zhu, Susanna Wang, Hua Zhong, Serguei Stepaniants, John Beaulaurier and 12 more

Open access · bronzeAbstract readValidation Study
In one paragraph

Article in The Journal of clinical investigation, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
4.2field-weighted citation impact, top 5% 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

31 citing papers in PubMed, 57 citations in OpenAlex.

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  12. Animal models of atherosclerosis.Biomedical reports · 2017
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  18. Genetic determinants of atherosclerosis, obesity, and energy balance in consomic mice.Mammalian genome : official journal of the International Mammalian Genome Society · 2014
    Article
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  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

22 authors at 3 institutions in 1 country.

Xia YangDepartment of Molecular Profiling, Rosetta Inpharmactics LLC, a wholly owned subsidiary of Merck & Co. Inc., Seattle, Washington, USA.
Larry Peterson
Rolf Thieringer
Joshua L Deignan
Xuping Wang
Jun Zhu
Susanna Wang
Hua Zhong
Serguei Stepaniants
John Beaulaurier
I-Ming Wang
Ray Rosa
Anne-Marie Cumiskey
Jane Ming-Juan Luo
Qi Luo
Kashmira Shah
Jianying Xiao
David Nickle
Andrew Plump
Eric E Schadt
Aldons J Lusis
Pek Yee Lum
Rosetta Stone (United States) · USSage Bionetworks · USUniversity of California, Los Angeles · US

Funding

ULTRASTRUCTURE OF THE INTIMA IN EARLY LESION FORMATIONP01HL030568 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI TONTONOZ, PETER J · 1985 to 2019
$55.2M
Systems genomics of metabolic syndrome traitsP01HL028481 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CANTOR, RITA M. · 1985 to 2019
$50.2M
NHLBI NIH HHS HL28481NHLBI NIH HHS HL30568NHLBI NIH HHS P01 HL028481NHLBI NIH HHS P01 HL030568
6 · The paper itself

Abstract

Atherosclerosis represents the most significant risk factor for coronary artery disease (CAD), the leading cause of death in developed countries. To better understand the pathogenesis of atherosclerosis, we applied a likeli-hood-based model selection method to infer gene-disease causality relationships for the aortic lesion trait in a segregating mouse population demonstrating a spectrum of susceptibility to developing atherosclerotic lesions. We identified 292 genes that tested causal for aortic lesions from liver and adipose tissues of these mice, and we experimentally validated one of these candidate causal genes, complement component 3a receptor 1 (C3ar1), using a knockout mouse model. We also found that genes identified by this method overlapped with genes progressively regulated in the aortic arches of 2 mouse models of atherosclerosis during atherosclerotic lesion development. By comparing our gene set with findings from public human genome-wide association studies (GWAS) of CAD and related traits, we found that 5 genes identified by our study overlapped with published studies in humans in which they were identified as risk factors for multiple atherosclerosis-related pathologies, including myocardial infarction, serum uric acid levels, mean platelet volume, aortic root size, and heart failure. Candidate causal genes were also found to be enriched with CAD risk polymorphisms identified by the Wellcome Trust Case Control Consortium (WTCCC). Our findings therefore validate the ability of causality testing procedures to provide insights into the mechanisms underlying atherosclerosis development.

Indexed as

Adipose TissueAnimalsAortaAtherosclerosisCoronary Artery DiseaseCoronary DiseaseGenesGenome-Wide Association StudyHumansLiverMiceMice, KnockoutMyocardial InfarctionPhenotypePolymorphism, GeneticRisk Factors

Identifiers

PMID20577049
PMCPMC2898611
OpenAlexW2157894406

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.