Literature DB >> 18772481

Genetic basis of HDL variation in 129/SvImJ and C57BL/6J mice: importance of testing candidate genes in targeted mutant mice.

Zhiguang Su1, Xiaosong Wang, Shirng-Wern Tsaih, Aihong Zhang, Allison Cox, Susan Sheehan, Beverly Paigen.   

Abstract

To evaluate the effect of genetic background on high-density lipoprotein cholesterol (HDL) levels in Soat1(-/-) mice, we backcrossed sterol O-acyltransferase 1 (Soat1)(-/-) mice, originally reported to have elevated HDL levels, to C57BL/6 mice and constructed a congenic strain with only a small region (3.3Mb) of 129 alleles, specifically excluding the nearby apolipoprotein A-II (Apoa2) gene from 129. HDL levels in these Soat1(-/-) mice were no different from C57BL/6, indicating that the passenger gene Apoa2 caused the previously reported elevation of HDL in these Soat1(-/-) mice. Because many knockouts are made in strain 129 and then subsequently backcrossed into C57BL/6, it is important to identify quantitative trait loci (QTL) that differ between 129 and C57BL/6 so that one can guard against effects ascribed to a knockout but really caused by a passenger gene from 129. To provide such data, we generated 528 F(2) progeny from an intercross of 129S1/SvImJ and C57BL/6 and measured HDL concentrations in F(2) animals first fed chow and then atherogenic diet. A genome wide scan using 508 single-nucleotide polymorphisms (SNPs) identified 19 QTL, 2 of which were male specific and 2 were female specific. Using comparative genomics and haplotype analysis, we narrowed QTL on chromosomes 3, 5, 8, 17, and 18 to 0.5, 6.3, 2.6, 1.1, and 0.6 Mb, respectively. These data will serve as a reference for any effort to test the impact of candidate genes on HDL using a knockout strategy.

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Year:  2008        PMID: 18772481      PMCID: PMC2602865          DOI: 10.1194/jlr.M800411-JLR200

Source DB:  PubMed          Journal:  J Lipid Res        ISSN: 0022-2275            Impact factor:   5.922


  31 in total

1.  A statistical framework for quantitative trait mapping.

Authors:  S Sen; G A Churchill
Journal:  Genetics       Date:  2001-09       Impact factor: 4.562

2.  R/qtl: QTL mapping in experimental crosses.

Authors:  Karl W Broman; Hao Wu; Saunak Sen; Gary A Churchill
Journal:  Bioinformatics       Date:  2003-05-01       Impact factor: 6.937

3.  Using advanced intercross lines for high-resolution mapping of HDL cholesterol quantitative trait loci.

Authors:  Xiaosong Wang; Isabelle Le Roy; Edwige Nicodeme; Renhua Li; Richard Wagner; Christina Petros; Gary A Churchill; Stephen Harris; Ariel Darvasi; Jorge Kirilovsky; Pierre L Roubertoux; Beverly Paigen
Journal:  Genome Res       Date:  2003-06-12       Impact factor: 9.043

4.  High-density lipoproteins: a new potential therapeutic target for the prevention of cardiovascular disease.

Authors:  H Bryan Brewer
Journal:  Arterioscler Thromb Vasc Biol       Date:  2004-03       Impact factor: 8.311

Review 5.  Role of apoA-II in lipid metabolism and atherosclerosis: advances in the study of an enigmatic protein.

Authors:  F Blanco-Vaca; J C Escolà-Gil; J M Martín-Campos; J Julve
Journal:  J Lipid Res       Date:  2001-11       Impact factor: 5.922

6.  New target regions for human hypertension via comparative genomics.

Authors:  M Stoll; A E Kwitek-Black; A W Cowley; E L Harris; S B Harrap; J E Krieger; M P Printz; A P Provoost; J Sassard; H J Jacob
Journal:  Genome Res       Date:  2000-04       Impact factor: 9.043

7.  Genome-wide single-nucleotide polymorphism analysis defines haplotype patterns in mouse.

Authors:  Tim Wiltshire; Mathew T Pletcher; Serge Batalov; S Whitney Barnes; Lisa M Tarantino; Michael P Cooke; Hua Wu; Kevin Smylie; Andrey Santrosyan; Neal G Copeland; Nancy A Jenkins; Francis Kalush; Richard J Mural; Richard J Glynne; Steve A Kay; Mark D Adams; Colin F Fletcher
Journal:  Proc Natl Acad Sci U S A       Date:  2003-02-28       Impact factor: 11.205

8.  Quantitative trait loci analysis for plasma HDL-cholesterol concentrations and atherosclerosis susceptibility between inbred mouse strains C57BL/6J and 129S1/SvImJ.

Authors:  Naoki Ishimori; Renhua Li; Peter M Kelmenson; Ron Korstanje; Kenneth A Walsh; Gary A Churchill; Kristina Forsman-Semb; Beverly Paigen
Journal:  Arterioscler Thromb Vasc Biol       Date:  2003-10-30       Impact factor: 8.311

9.  Candidate genes for obesity revealed from a C57BL/6J x 129S1/SvImJ intercross.

Authors:  Z Su; R Korstanje; S-W Tsaih; B Paigen
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10.  Ptprj is a candidate for the mouse colon-cancer susceptibility locus Scc1 and is frequently deleted in human cancers.

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Journal:  Nat Genet       Date:  2002-06-24       Impact factor: 38.330

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  21 in total

1.  Identification of novel mouse genes conferring posthypoxic pauses.

Authors:  C Barton Gillombardo; Motoo Yamauchi; Mark D Adams; Jesse Dostal; Sam Chai; Michael W Moore; Lucas M Donovan; Fang Han; Kingman P Strohl
Journal:  J Appl Physiol (1985)       Date:  2012-04-26

2.  Using bioinformatics and systems genetics to dissect HDL-cholesterol genetics in an MRL/MpJ x SM/J intercross.

Authors:  Magalie S Leduc; Rachael Hageman Blair; Ricardo A Verdugo; Shirng-Wern Tsaih; Kenneth Walsh; Gary A Churchill; Beverly Paigen
Journal:  J Lipid Res       Date:  2012-04-11       Impact factor: 5.922

3.  Four additional mouse crosses improve the lipid QTL landscape and identify Lipg as a QTL gene.

Authors:  Zhiguang Su; Naoki Ishimori; Yaoyu Chen; Edward H Leiter; Gary A Churchill; Beverly Paigen; Ioannis M Stylianou
Journal:  J Lipid Res       Date:  2009-05-12       Impact factor: 5.922

4.  Recalculation of 23 mouse HDL QTL datasets improves accuracy and allows for better candidate gene analysis.

Authors:  Cheryl Ackert-Bicknell; Beverly Paigen; Ron Korstanje
Journal:  J Lipid Res       Date:  2013-02-07       Impact factor: 5.922

Review 5.  Combining genome-wide data from humans and animal models of dyslipidemia and atherosclerosis.

Authors:  Stela Z Berisha; Jonathan D Smith
Journal:  Curr Opin Lipidol       Date:  2011-04       Impact factor: 4.776

6.  Integration of QTL and bioinformatic tools to identify candidate genes for triglycerides in mice.

Authors:  Magalie S Leduc; Rachael S Hageman; Ricardo A Verdugo; Shirng-Wern Tsaih; Kenneth Walsh; Gary A Churchill; Beverly Paigen
Journal:  J Lipid Res       Date:  2011-05-26       Impact factor: 5.922

Review 7.  Influence of allelic differences in Down syndrome.

Authors:  Randall J Roper; Laura Hawley; Charles R Goodlett
Journal:  Prog Brain Res       Date:  2019-10-24       Impact factor: 2.453

8.  Untangling HDL quantitative trait loci on mouse chromosome 5 and identifying Scarb1 and Acads as the underlying genes.

Authors:  Zhiguang Su; Magalie S Leduc; Ron Korstanje; Beverly Paigen
Journal:  J Lipid Res       Date:  2010-06-19       Impact factor: 5.922

9.  Farp2 and Stk25 are candidate genes for the HDL cholesterol locus on mouse chromosome 1.

Authors:  Zhiguang Su; Allison Cox; Yuan Shen; Ioannis M Stylianou; Beverly Paigen
Journal:  Arterioscler Thromb Vasc Biol       Date:  2008-11-06       Impact factor: 8.311

10.  Novel ENU-induced point mutation in scavenger receptor class B, member 1, results in liver specific loss of SCARB1 protein.

Authors:  Ioannis M Stylianou; Karen L Svenson; Sara K VanOrman; Yanina Langle; John S Millar; Beverly Paigen; Daniel J Rader
Journal:  PLoS One       Date:  2009-08-05       Impact factor: 3.240

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