Literature DB >> 14974682

Quantitative trait locus analysis of plasma cholesterol and triglyceride levels in KK x RR F2 mice.

Jun-ichi Suto1, Kenji Sekikawa.   

Abstract

A previous quantitative trait locus (QTL) study on hyperlipidemia in C57BL/6J x KK-Ay/a F2 mice identified three significant cholesterol QTLs (Cq1 and Cq2 on chromosome 1, and Cq3 on chromosome 3), and a suggestive triglyceride QTL on chromosome 9. An alternative analysis of this study identified a novel cholesterol QTL on chromosome 9 (Cq4), and a significant triglyceride QTL on chromosome 9 (Tgq1). In the present study, QTL analysis was performed on KK x RR F2 mice. A significant cholesterol QTL (Cq5, lod score 5.6) was identified on chromosome 9, and a significant triglyceride QTL (Tgq2, lod score 4.7) was identified on chromosome 8. The Cq5 locus was mapped to a region similar to the Cq4 locus. On the other hand, the Tgq2 locus overlapped with the QTL region responsible for glucose intolerance (Giq1) that was identified in a previous study. The results suggest that a different combination of QTLs is involved in the trait when a different counterpart strain is used. Identification of distinct, but related traits in an identical chromosomal region will facilitate revealing the responsible gene.

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Year:  2003        PMID: 14974682     DOI: 10.1023/b:bigi.0000006033.99978.8b

Source DB:  PubMed          Journal:  Biochem Genet        ISSN: 0006-2928            Impact factor:   1.890


  8 in total

1.  Quantitative trait locus analysis of atherosclerosis in an intercross between C57BL/6 and C3H mice carrying the mutant apolipoprotein E gene.

Authors:  Zhiguang Su; Yuhua Li; Jessica C James; Marcia McDuffie; Alan H Matsumoto; Gregory A Helm; James L Weber; Aldons J Lusis; Weibin Shi
Journal:  Genetics       Date:  2005-12-30       Impact factor: 4.562

2.  Multi-Omic Approaches to Identify Genetic Factors in Metabolic Syndrome.

Authors:  Karen C Clark; Anne E Kwitek
Journal:  Compr Physiol       Date:  2021-12-29       Impact factor: 8.915

3.  Haplotype analysis in multiple crosses to identify a QTL gene.

Authors:  Xiaosong Wang; Ron Korstanje; David Higgins; Beverly Paigen
Journal:  Genome Res       Date:  2004-08-12       Impact factor: 9.043

Review 4.  Nutrition and the science of disease prevention: a systems approach to support metabolic health.

Authors:  Brian J Bennett; Kevin D Hall; Frank B Hu; Anne L McCartney; Christina Roberto
Journal:  Ann N Y Acad Sci       Date:  2015-09       Impact factor: 5.691

5.  Differences in DBA/1J and DBA/2J reveal lipid QTL genes.

Authors:  Ioannis M Stylianou; Sarah R Langley; Kenneth Walsh; Yuan Chen; Céline Revenu; Beverly Paigen
Journal:  J Lipid Res       Date:  2008-05-23       Impact factor: 5.922

6.  Quantitative trait locus analysis of carotid atherosclerosis in an intercross between C57BL/6 and C3H apolipoprotein E-deficient mice.

Authors:  Qiongzhen Li; Yuhua Li; Zhimin Zhang; Timothy R Gilbert; Alan H Matsumoto; Seth E Dobrin; Weibin Shi
Journal:  Stroke       Date:  2007-11-29       Impact factor: 7.914

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

Authors:  Tangi L Smallwood; Daniel M Gatti; Pamela Quizon; George M Weinstock; Kuo-Chen Jung; Liyang Zhao; Kunjie Hua; Daniel Pomp; Brian J Bennett
Journal:  G3 (Bethesda)       Date:  2014-10-23       Impact factor: 3.154

8.  Identification of Quantitative Trait Loci That Determine Plasma Total-Cholesterol and Triglyceride Concentrations in DDD/Sgn and C57BL/6J Inbred Mice.

Authors:  Jun-Ichi Suto; Misaki Kojima
Journal:  Cholesterol       Date:  2017-05-31
  8 in total

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