Literature DB >> 15767852

Genome-wide search for new genes controlling plasma lipid concentrations in mice and humans.

Xiaosong Wang1, Beverly Paigen.   

Abstract

PURPOSE OF REVIEW: Quantitative trait locus analysis has been used in both humans and mice for the purpose of finding new genes regulating plasma lipid levels. We review these methods and discuss new approaches that can help find quantitative trait locus genes. RECENT
FINDINGS: Many quantitative trait loci have been found that regulate plasma levels for HDL cholesterol (37 in mice and 30 in humans), LDL cholesterol (25 in mice and 20 in humans) and triglycerides (19 in mice and 30 in humans). Most of the human quantitative trait loci have concordant mouse quantitative trait loci mapping to homologous regions (93% for HDL cholesterol, 100% for LDL cholesterol and 80% for triglycerides), suggesting that many genes identified in mice may also regulate the same traits in humans. New approaches based on recently developed genomic and bioinformatic technologies and resources should greatly facilitate finding these genes.
SUMMARY: New genes regulating plasma lipid levels can be found in mice and then tested in humans. Some of these genes could be potential therapeutic targets for human atherosclerosis.

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Year:  2005        PMID: 15767852     DOI: 10.1097/01.mol.0000162317.09054.9d

Source DB:  PubMed          Journal:  Curr Opin Lipidol        ISSN: 0957-9672            Impact factor:   4.776


  26 in total

Review 1.  Does size matter in platelet production?

Authors:  Jonathan N Thon; Joseph E Italiano
Journal:  Blood       Date:  2012-06-04       Impact factor: 22.113

2.  Quantitative trait loci for baseline white blood cell count, platelet count, and mean platelet volume.

Authors:  Luanne L Peters; Weidong Zhang; Amy J Lambert; Carlo Brugnara; Gary A Churchill; Orah S Platt
Journal:  Mamm Genome       Date:  2005-10-29       Impact factor: 2.957

3.  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

Review 4.  Metabolic syndrome components in murine models.

Authors:  Heather A Lawson; James M Cheverud
Journal:  Endocr Metab Immune Disord Drug Targets       Date:  2010-03       Impact factor: 2.895

5.  Candidate genes for plasma triglyceride, FFA, and glucose revealed from an intercross between inbred mouse strains NZB/B1NJ and NZW/LacJ.

Authors:  Zhiguang Su; Shirng-wern Tsaih; Jin Szatkiewicz; Yuan Shen; Beverly Paigen
Journal:  J Lipid Res       Date:  2008-03-24       Impact factor: 5.922

6.  Establishment of consomic strains derived from A/J and SM/J mice for genetic analysis of complex traits.

Authors:  Tamio Ohno; Keiko Hata; Taisuke Baba; Fusayo Io; Misato Kobayashi; Fumihiko Horio; Masahiko Nishimura
Journal:  Mamm Genome       Date:  2012-10-10       Impact factor: 2.957

Review 7.  Genetic and genomic insights into the molecular basis of atherosclerosis.

Authors:  Yaoyu Chen; Jarod Rollins; Beverly Paigen; Xiaosong Wang
Journal:  Cell Metab       Date:  2007-09       Impact factor: 27.287

8.  A pleiotropic QTL on 2p influences serum Lp-PLA2 activity and LDL cholesterol concentration in a baboon model for the genetics of atherosclerosis risk factors.

Authors:  A Vinson; M C Mahaney; L A Cox; J Rogers; J L VandeBerg; D L Rainwater
Journal:  Atherosclerosis       Date:  2007-09-04       Impact factor: 5.162

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.  WWOX gene is associated with HDL cholesterol and triglyceride levels.

Authors:  María E Sáez; Antonio González-Pérez; María T Martínez-Larrad; Javier Gayán; Luis M Real; Manuel Serrano-Ríos; Agustín Ruiz
Journal:  BMC Med Genet       Date:  2010-10-14       Impact factor: 2.103

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