Literature DB >> 16951076

Complex genetic architecture revealed by analysis of high-density lipoprotein cholesterol in chromosome substitution strains and F2 crosses.

Ioannis M Stylianou1, Shirng-Wern Tsaih, Keith DiPetrillo, Naoki Ishimori, Renhua Li, Beverly Paigen, Gary Churchill.   

Abstract

Intercrosses between inbred lines provide a traditional approach to analysis of polygenic inheritance in model organisms. Chromosome substitution strains (CSSs) have been developed as an alternative to accelerate the pace of gene identification in quantitative trait mapping. We compared a classical intercross and three CSS intercrosses to examine the genetic architecture underlying plasma high-density lipoprotein cholesterol (HDL) levels in the C57BL/6J (B) and A/J (A) mouse strains. The B x A intercross revealed significant quantitative trait loci (QTL) for HDL on chromosomes 1, 4, 8, 15, 17, 18, and 19. A CSS survey revealed that many have significantly different HDL levels compared to the background strain B, including chromosomes with no significant QTL in the intercross and, in some cases (CSS-1, CSS-17), effects that are opposite to those observed in the B x A intercross population. Intercrosses between B and three CSSs (CSS-3, CSS-11, and CSS-8) revealed significant QTL but with some unexpected differences from the B x A intercross. Our inability to predict the results of CSS intercrosses suggests that additional complexity will be revealed by further crosses and that the CSS mapping strategy should be viewed as a complement to, rather than a replacement for, classical intercross mapping.

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Year:  2006        PMID: 16951076      PMCID: PMC1602087          DOI: 10.1534/genetics.106.059717

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  32 in total

1.  Genetic dissection of complex traits: guidelines for interpreting and reporting linkage results.

Authors:  E Lander; L Kruglyak
Journal:  Nat Genet       Date:  1995-11       Impact factor: 38.330

2.  Empirical threshold values for quantitative trait mapping.

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

3.  Precision mapping of quantitative trait loci.

Authors:  Z B Zeng
Journal:  Genetics       Date:  1994-04       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.  Behavioral characterization of wild derived male mice (Mus musculus musculus) of the PWD/Ph inbred strain: high exploration compared to C57BL/6J.

Authors:  Cathy Fernandes; Lin Liu; José L Paya-Cano; Sona Gregorová; Jirí Forejt; Leonard C Schalkwyk
Journal:  Behav Genet       Date:  2004-11       Impact factor: 2.805

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.  An efficient SNP system for mouse genome scanning and elucidating strain relationships.

Authors:  Petko M Petkov; Yueming Ding; Megan A Cassell; Weidong Zhang; Gunjan Wagner; Evelyn E Sargent; Steven Asquith; Victor Crew; Kevin A Johnson; Phil Robinson; Valerie E Scott; Michael V Wiles
Journal:  Genome Res       Date:  2004-09       Impact factor: 9.043

8.  Human apolipoprotein A-I gene expression increases high density lipoprotein and suppresses atherosclerosis in the apolipoprotein E-deficient mouse.

Authors:  A S Plump; C J Scott; J L Breslow
Journal:  Proc Natl Acad Sci U S A       Date:  1994-09-27       Impact factor: 11.205

9.  Inhibition of early atherogenesis in transgenic mice by human apolipoprotein AI.

Authors:  E M Rubin; R M Krauss; E A Spangler; J G Verstuyft; S M Clift
Journal:  Nature       Date:  1991-09-19       Impact factor: 49.962

10.  High-density lipoprotein cholesterol and cardiovascular disease. Four prospective American studies.

Authors:  D J Gordon; J L Probstfield; R J Garrison; J D Neaton; W P Castelli; J D Knoke; D R Jacobs; S Bangdiwala; H A Tyroler
Journal:  Circulation       Date:  1989-01       Impact factor: 29.690

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  23 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

2.  Genetic analysis of the psychostimulant effects of nicotine in chromosome substitution strains and F2 crosses derived from A/J and C57BL/6J progenitors.

Authors:  Alan E Boyle; Kathryn J Gill
Journal:  Mamm Genome       Date:  2008-12-13       Impact factor: 2.957

3.  Genetic architecture of complex traits: large phenotypic effects and pervasive epistasis.

Authors:  Haifeng Shao; Lindsay C Burrage; David S Sinasac; Annie E Hill; Sheila R Ernest; William O'Brien; Hayden-William Courtland; Karl J Jepsen; Andrew Kirby; E J Kulbokas; Mark J Daly; Karl W Broman; Eric S Lander; Joseph H Nadeau
Journal:  Proc Natl Acad Sci U S A       Date:  2008-12-09       Impact factor: 11.205

Review 4.  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

5.  Development of a near-isogenic line population of Arabidopsis thaliana and comparison of mapping power with a recombinant inbred line population.

Authors:  Joost J B Keurentjes; Leónie Bentsink; Carlos Alonso-Blanco; Corrie J Hanhart; Hetty Blankestijn-De Vries; Sigi Effgen; Dick Vreugdenhil; Maarten Koornneef
Journal:  Genetics       Date:  2006-12-18       Impact factor: 4.562

6.  The mouse QTL map helps interpret human genome-wide association studies for HDL cholesterol.

Authors:  Magalie S Leduc; Malcolm Lyons; Katayoon Darvishi; Kenneth Walsh; Susan Sheehan; Sarah Amend; Allison Cox; Marju Orho-Melander; Sekar Kathiresan; Beverly Paigen; Ron Korstanje
Journal:  J Lipid Res       Date:  2011-03-28       Impact factor: 5.922

7.  Modifier genes and non-genetic factors reshape anatomical deficits in Zfp423-deficient mice.

Authors:  Wendy A Alcaraz; Edward Chen; Phoebe Valdes; Eunnie Kim; Yuan Hung Lo; Jennifer Vo; Bruce A Hamilton
Journal:  Hum Mol Genet       Date:  2011-07-05       Impact factor: 6.150

8.  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 9.  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

10.  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

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