Abstract

OBJECTIVE
The purpose of this study was to fine map previously identified quantitative trait loci affecting atherosclerosis in mice using association analysis.
METHODS AND RESULTS
We recently showed that high-resolution association analysis using common inbred strains of mice is feasible if corrected for population structure. To use this approach for atherosclerosis, which requires a sensitizing mutation, we bred human apolipoprotein B-100 transgenic mice with 22 different inbred strains to produce F1 heterozygotes. Mice carrying the dominant transgene were tested for association with high-density single nucleotide polymorphism maps. Here, we focus on high-resolution mapping of the previously described atherosclerosis 30 locus on chromosome 1. Compared with the previous linkage analysis, association improved the resolution of the atherosclerosis 30 locus by more than an order of magnitude. Using expression quantitative trait locus analysis, we identified one of the genes in the region, desmin, as a strong candidate.
CONCLUSIONS
Our high-resolution mapping approach accurately identifies and fine maps known atherosclerosis quantitative trait loci. These results suggest that high-resolution genome-wide association analysis for atherosclerosis is feasible in mice.

Links

Publisher Full Text

Authors

Bennett BJ, Orozco L, Kostem E, Erbilgin A, Dallinga M, Neuhaus I, Guan B, Wang X, Eskin E, Lusis AJ

Institution

Department of Genetics, University of North Carolina, Chapel Hill, NC 28081, USA. bennettb@email.unc.edu

Source

Arteriosclerosis, thrombosis, and vascular biology 32:8 2012 Aug pg 1790-8

MeSH

Animals
Arteriosclerosis
Chromosome Mapping
Female
Lipoproteins, HDL
Male
Mice
Mice, Inbred Strains
Polymorphism, Single Nucleotide
Quantitative Trait Loci
Risk Factors

Pub Type(s)

Journal Article
Research Support, N.I.H., Extramural

Language

eng

PubMed ID

22723443