Literature DB >> 18503028

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

Ioannis M Stylianou1, Sarah R Langley, Kenneth Walsh, Yuan Chen, Céline Revenu, Beverly Paigen.   

Abstract

Recent advances in mouse genomics have revealed considerable variation in the form of single-nucleotide polymorphisms (SNPs) among common inbred strains. This has made it possible to characterize closely related strains and to identify genes that differ; such genes may be causal for quantitative phenotypes. The mouse strains DBA/1J and DBA/2J differ by just 5.6% at the SNP level. These strains exhibit differences in a number of metabolic and lipid phenotypes, such as plasma levels of triglycerides (TGs) and HDL. A cross between these strains revealed multiple quantitative trait loci (QTLs) in 294 progeny. We identified significant TG QTLs on chromosomes (Chrs) 1, 2, 3, 4, 8, 9, 10, 11, 12, 13, 14, 16, and 19, and significant HDL QTLs on Chrs 3, 9, and 16. Some QTLs mapped to chromosomes with limited variability between the two strains, thus facilitating the identification of candidate genes. We suggest that Tshr is the QTL gene for Chr 12 TG and HDL levels and that Ihh may account for the TG QTL on Chr 1. This cross highlights the advantage of crossing closely related strains for subsequent identification of QTL genes.

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Year:  2008        PMID: 18503028      PMCID: PMC2834962          DOI: 10.1194/jlr.M800244-JLR200

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


  62 in total

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Journal:  Am J Cardiol       Date:  1996-06-01       Impact factor: 2.778

3.  Empirical threshold values for quantitative trait mapping.

Authors:  G A Churchill; R W Doerge
Journal:  Genetics       Date:  1994-11       Impact factor: 4.562

4.  Effect of antisense oligonucleotides against cholesteryl ester transfer protein on the development of atherosclerosis in cholesterol-fed rabbits.

Authors:  M Sugano; N Makino; S Sawada; S Otsuka; M Watanabe; H Okamoto; M Kamada; A Mizushima
Journal:  J Biol Chem       Date:  1998-02-27       Impact factor: 5.157

5.  Quantitative trait loci that regulate plasma lipid concentration in hereditary obese KK and KK-Ay mice.

Authors:  J Suto; S Matsuura; H Yamanaka; K Sekikawa
Journal:  Biochim Biophys Acta       Date:  1999-03-30

6.  Determinants of change in total cholesterol and HDL-C with age: the Framingham Study.

Authors:  P W Wilson; K M Anderson; T Harris; W B Kannel; W P Castelli
Journal:  J Gerontol       Date:  1994-11

7.  Quantitative trait locus analysis of plasma lipoprotein levels in an autoimmune mouse model : interactions between lipoprotein metabolism, autoimmune disease, and atherogenesis.

Authors:  L Gu; M W Johnson; A J Lusis
Journal:  Arterioscler Thromb Vasc Biol       Date:  1999-02       Impact factor: 8.311

8.  Genetic factors in lipoprotein metabolism. Analysis of a genetic cross between inbred mouse strains NZB/BINJ and SM/J using a complete linkage map approach.

Authors:  D A Purcell-Huynh; A Weinreb; L W Castellani; M Mehrabian; M H Doolittle; A J Lusis
Journal:  J Clin Invest       Date:  1995-10       Impact factor: 14.808

9.  The thyrotropin (TSH) receptor transmembrane domain mutation (Pro556-Leu) in the hypothyroid hyt/hyt mouse results in plasma membrane targeting but defective TSH binding.

Authors:  W X Gu; G G Du; P Kopp; A Rentoumis; C Albanese; L D Kohn; L D Madison; J L Jameson
Journal:  Endocrinology       Date:  1995-07       Impact factor: 4.736

10.  In vivo, villin is required for Ca(2+)-dependent F-actin disruption in intestinal brush borders.

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Journal:  J Cell Biol       Date:  1999-08-23       Impact factor: 10.539

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  16 in total

1.  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

Review 2.  HDL cholesterol and bone mineral density: is there a genetic link?

Authors:  Cheryl L Ackert-Bicknell
Journal:  Bone       Date:  2012-02       Impact factor: 4.398

3.  Influence of genetic background on ex vivo and in vivo cardiac function in several commonly used inbred mouse strains.

Authors:  Matthew S Barnabei; Nathan J Palpant; Joseph M Metzger
Journal:  Physiol Genomics       Date:  2010-07-13       Impact factor: 3.107

Review 4.  Genetic basis of atherosclerosis: insights from mice and humans.

Authors:  Ioannis M Stylianou; Robert C Bauer; Muredach P Reilly; Daniel J Rader
Journal:  Circ Res       Date:  2012-01-20       Impact factor: 17.367

5.  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

6.  High-resolution identity by descent mapping uncovers the genetic basis for blood pressure differences between spontaneously hypertensive rat lines.

Authors:  Rebecca Bell; Stacy M Herring; Nisha Gokul; Monique Monita; Megan L Grove; Eric Boerwinkle; Peter A Doris
Journal:  Circ Cardiovasc Genet       Date:  2011-03-15

7.  An experimental assessment of in silico haplotype association mapping in laboratory mice.

Authors:  Sarah L Burgess-Herbert; Shirng-Wern Tsaih; Ioannis M Stylianou; Kenneth Walsh; Allison J Cox; Beverly Paigen
Journal:  BMC Genet       Date:  2009-12-09       Impact factor: 2.797

8.  A genome-wide scan for quantitative trait loci affecting serum glucose and lipids in a White Duroc x Erhualian intercross F(2) population.

Authors:  Rongrong Chen; Jun Ren; Wanbo Li; Xiang Huang; Xueming Yan; Bin Yang; Yinggong Zhao; Yuanmei Guo; Huirong Mao; Lusheng Huang
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9.  Detection of quantitative trait loci affecting serum cholesterol, LDL, HDL, and triglyceride in pigs.

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Journal:  BMC Genet       Date:  2011-07-13       Impact factor: 2.797

10.  Genome-wide association mapping of quantitative traits in outbred mice.

Authors:  Weidong Zhang; Ron Korstanje; Jill Thaisz; Frank Staedtler; Nicole Harttman; Lingfei Xu; Minjie Feng; Liane Yanas; Hyuna Yang; William Valdar; Gary A Churchill; Keith Dipetrillo
Journal:  G3 (Bethesda)       Date:  2012-02-01       Impact factor: 3.154

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