Literature DB >> 27921078

Data on genetic analysis of atherosclerosis identifies a major susceptibility locus in the major histocompatibility complex of mice.

Andrew T Grainger1, Michael B Jones2, Jing Li2, Mei-Hua Chen2, Ani Manichaikul3, Weibin Shi4.   

Abstract

The data presented here are related to the research article, entitled Genetic analysis of atherosclerosis identifies a major susceptibility locus in the major histocompatibility complex of mice, published in Atherosclerosis 2016;254:124 (A.T. Grainger, M.B. Jones, J. Li, M.H. Chen, A. Manichaikul, W. Shi, 2016) [1]. The supporting materials include original genotypic and phenotypic data obtained from 206 female F2 mice derived from an intercross between BALB and SMJ inbred mice. The F2 mice were fed 12 weeks of Western diet, starting at 6 weeks of age. Atherosclerotic lesion size in the aortic root of each mouse is the sum of the top 8 lesion areas. The data is provided in the format required for determining QTLs using two independent programs, J/QTL and PLINK.

Entities:  

Keywords:  Atherosclerosis; Major histocompatibility complex; Mice; Quantitative trait locus

Year:  2016        PMID: 27921078      PMCID: PMC5126130          DOI: 10.1016/j.dib.2016.11.058

Source DB:  PubMed          Journal:  Data Brief        ISSN: 2352-3409


Specifications Table Value of the data Providing the raw data for genetic analyses allows for others to have access to the phenotypic quantitative information being addressed and permits them to verify the conclusions reached. This data is important for researchers that are interested in differences between the phenotypic values of different intercrosses. Providing raw data is critically important for researchers that are interested in combining datasets for combined cross analysis to look at overlapping QTLs. The formatting of the data that is put into J/QTL for use in a separate program, PLINK, could be important for future researchers who might want to utilize PLINK for future genetic analyses in other mice intercrosses.

Data

The data shared here is collected for Quantitative Trait Locus (QTL) analysis using 206 female F2 mice derived from an intercross between BALB/cJ and SM/J mice. The data used for J-QTL analysis are presented in Supplementary Table 1. A summary of discovered significant and suggestive QTLs is provided in Table 1. The file used for PLINK is presented in Supplementary Table 2. The results obtained are present in Table 2.

Experimental design, materials and methods

Mice

BALB-Apoe−/− and SM-Apoe−/− mice were generated in our laboratory using the classical congenic breeding strategy [2]. BALB/cJ-Apoe−/− mice were crossed with SM/J-Apoe−/− mice to generate F1s, which were intercrossed by brother-sister mating to generate F2s. Mice were weaned onto a rodent chow diet at 3 weeks of age. At 6 weeks of age, female F2 mice were started with a Western diet containing 21% fat, 34.1% sucrose, 0.15% cholesterol, and 19.5% casein and maintained on the diet for 12 weeks.

Quantitation of aortic atherosclerosis

The vasculature of mice was perfusion-fixed with 4% PFA (paraformaldehyde) through the left ventricle of the heart. The aortic root and adjacent heart were harvested, embedded in optimal cutting temperature compound and cross-sectioned in 10-μm thickness. Sections were stained with oil red O and hematoxylin and counterstained with fast green. Atherosclerotic lesion areas were measured using Zeiss AxioVision 4.8 software. The eight largest aortic lesion areas were added up for each mouse and this sum was used for statistical analysis [1].

Genotyping

The Illumina LD linkage panel consisting of 377 SNP loci was used to genotype the F2 cohort. Microsatellite markers were typed for chromosome 8 where SNP markers were uninformative in distinguishing the parental origin of alleles. DNA samples from the two parental strains and their F1s served as controls. Uninformative SNPs were excluded from QTL analysis. SNP markers were also filtered based on the expected pattern in the control samples, and F2 mice were filtered based on 95% call rates in genotype calls. After filtration, 149 markers were included in genome-wide QTL analysis.
Subject areaGenetics
More specific subject areaQTL analysis of atherosclerosis
Type of dataTables
How data was acquiredAortic lesion size was quantified with AxioVision version 4.8 software.
Total and HDL cholesterol, triglyceride, and glucose levels were measured with assay kits
Genome-wide genotypic analysis was performed with Illumina LD Linkage Panel.
Data formatRaw, Analyzed
Experimental factorsMice were fed a western diet for 12 weeks.
Experimental featuresGenome-wide genotypic and phenotypic analyses for 206 female F2 mice.
Data source locationUniversity of Virginia, Charlottesville, Virginia, USA
Data accessibilityWithin this article
  2 in total

1.  Genetic analysis of atherosclerosis identifies a major susceptibility locus in the major histocompatibility complex of mice.

Authors:  Andrew T Grainger; Michael B Jones; Jing Li; Mei-Hua Chen; Ani Manichaikul; Weibin Shi
Journal:  Atherosclerosis       Date:  2016-10-06       Impact factor: 5.162

2.  Variation in Type 2 Diabetes-Related Phenotypes among Apolipoprotein E-Deficient Mouse Strains.

Authors:  Shuiping Liu; Jing Li; Mei-Hua Chen; Zhenqi Liu; Weibin Shi
Journal:  PLoS One       Date:  2015-05-06       Impact factor: 3.240

  2 in total

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