Literature DB >> 12231556

Quantitative trait loci and candidate genes regulating HDL cholesterol: a murine chromosome map.

Xiaosong Wang1, Beverly Paigen.   

Abstract

OBJECTIVE: Summarizing the many discovered mouse and human quantitative trait loci (QTL) for high density lipoprotein (HDL) cholesterol (HDL-C) levels is important for guiding future research on the genetic regulation of HDL concentrations and for finding gene targets for upregulating HDL levels in mice and humans. METHODS AND
RESULTS: We summarized the 27 QTL and candidate genes associated with HDL-C concentrations in mice and plotted them on a mouse chromosome map. We also summarized the 22 human QTL for HDL-C levels and compared them with those of the mouse by comparative genomics. At least part of the mouse homologies for 18 of the 22 human HDL-C QTL were within the murine HDL-C QTL.
CONCLUSIONS: Murine QTL for HDL-C levels may predict their homologous location in humans, and their underlying genes may be appropriate genes to test in humans.

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Year:  2002        PMID: 12231556     DOI: 10.1161/01.atv.0000030201.29121.a3

Source DB:  PubMed          Journal:  Arterioscler Thromb Vasc Biol        ISSN: 1079-5642            Impact factor:   8.311


  23 in total

1.  One hundred years of mouse genetics: an intellectual history. II. The molecular revolution (1981-2002).

Authors:  Kenneth Paigen
Journal:  Genetics       Date:  2003-04       Impact factor: 4.562

2.  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

Review 3.  Reverse cholesterol transport: high-density lipoprotein's magnificent mile.

Authors:  Peter P Toth
Journal:  Curr Atheroscler Rep       Date:  2003-09       Impact factor: 5.113

4.  Association of a lithogenic Abcg5/Abcg8 allele on Chromosome 17 (Lith9) with cholesterol gallstone formation in PERA/EiJ mice.

Authors:  Henning Wittenburg; Malcolm A Lyons; Renhua Li; Ulrike Kurtz; Joachim Mössner; Gary A Churchill; Martin C Carey; Beverly Paigen
Journal:  Mamm Genome       Date:  2005-07       Impact factor: 2.957

5.  Blood pressure and heart rate QTL in mice of the B6/D2 lineage: sex differences and environmental influences.

Authors:  David A Blizard; Arimantas Lionikas; David J Vandenbergh; Terrie Vasilopoulos; Glenn S Gerhard; James W Griffith; Laura C Klein; Joseph T Stout; Holly A Mack; Joan M Lakoski; Lars Larsson; Jeanne M Spicer; George P Vogler; Gerald E McClearn
Journal:  Physiol Genomics       Date:  2008-12-09       Impact factor: 3.107

6.  A genome-wide linkage scan identifies multiple quantitative trait loci for HDL-cholesterol levels in families with premature CAD and MI.

Authors:  Rong Yang; Lin Li; Sara Bretschger Seidelmann; Gong-Qing Shen; Sonia Sharma; Shaoqi Rao; Kalil G Abdullah; Kenneth G Mackinlay; Robert C Elston; Qiuyun Chen; Eric J Topol; Qing Kenneth Wang
Journal:  J Lipid Res       Date:  2010-01-14       Impact factor: 5.922

7.  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

8.  An integrated in silico gene mapping strategy in inbred mice.

Authors:  Alessandra C L Cervino; Ariel Darvasi; Mohammad Fallahi; Christopher C Mader; Nicholas F Tsinoremas
Journal:  Genetics       Date:  2006-10-08       Impact factor: 4.562

9.  Genetic control of lipids in the mouse cross DU6i x DBA/2.

Authors:  Gudrun A Brockmann; Ersin Karatayli; Christina Neuschl; Ioannis M Stylianou; Soner Aksu; Antje Ludwig; Ulla Renne; Chris S Haley; Sara Knott
Journal:  Mamm Genome       Date:  2007-11-08       Impact factor: 2.957

10.  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

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