Literature DB >> 20969983

Linkage mapping of principal components for femoral biomechanical performance in a reciprocal HCB-8 × HCB-23 intercross.

Neema Saless1, Suzanne J Litscher, Ray Vanderby, Peter Demant, Robert D Blank.   

Abstract

Studies of bone genetics have addressed an array of related phenotypes, including various measures of biomechanical performance, bone size, bone, shape, and bone mineral density. These phenotypes are not independent, resulting in redundancy of the information they provide. Principal component (PC) analysis transforms multiple phenotype data to a new set of orthogonal "synthetic" phenotypes. We performed PC analysis on 17 femoral biomechanical, anatomic, and body size phenotypes in a reciprocal intercross of HcB-8 and HcB-23, accounting for 80% of the variance in 4 PCs. Three of the 4 PCs were mapped in the cross. The linkage analysis revealed a quantitative trait locus (QTL) with LOD = 4.7 for PC2 at 16 cM on chromosome 19 that was not detected using the directly measured phenotypes. The chromosome 19 QTL falls within a ~10 megabase interval, with Osf1 as a positional candidate gene. PC QTLs were also found on chromosomes 1, 2, 4, 6, and 10 that coincided with those identified for directly measured or calculated material property phenotypes. The novel chromosome 19 QTL illustrates the power advantage that attends use of PC phenotypes for linkage mapping. Constraint of the chromosome 19 candidate interval illustrates an important advantage of experimental crosses between recombinant congenic mouse strains. Published by Elsevier Inc.

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Year:  2010        PMID: 20969983      PMCID: PMC3073517          DOI: 10.1016/j.bone.2010.10.165

Source DB:  PubMed          Journal:  Bone        ISSN: 1873-2763            Impact factor:   4.398


  35 in total

1.  A simple regression method for mapping quantitative trait loci in line crosses using flanking markers.

Authors:  C S Haley; S A Knott
Journal:  Heredity (Edinb)       Date:  1992-10       Impact factor: 3.821

2.  Quantitative trait loci analysis of structural and material skeletal phenotypes in C57BL/6J and DBA/2 second-generation and recombinant inbred mice.

Authors:  Dean H Lang; Neil A Sharkey; Holly A Mack; George P Vogler; David J Vandenbergh; David A Blizard; Joseph T Stout; Gerald E McClearn
Journal:  J Bone Miner Res       Date:  2004-10-11       Impact factor: 6.741

3.  Genetic composition of the recombinant congenic strains.

Authors:  A P Stassen; P C Groot; J T Eppig; P Demant
Journal:  Mamm Genome       Date:  1996-01       Impact factor: 2.957

4.  Cloning of ligand targets: systematic isolation of SH3 domain-containing proteins.

Authors:  A B Sparks; N G Hoffman; S J McConnell; D M Fowlkes; B K Kay
Journal:  Nat Biotechnol       Date:  1996-06       Impact factor: 54.908

5.  Isolation and characterization of a cDNA clone encoding a novel peptide (OSF) that enhances osteoclast formation and bone resorption.

Authors:  S Reddy; R Devlin; C Menaa; R Nishimura; S J Choi; M Dallas; T Yoneda; G D Roodman
Journal:  J Cell Physiol       Date:  1998-12       Impact factor: 6.384

6.  Association tests of interleukin-6 (IL-6) and type II tumor necrosis factor receptor (TNFR2) genes with bone mineral density in Caucasians using a re-sampling approach.

Authors:  Peng Xiao; Peng-Yuan Liu; Yan Lu; Yan-Fang Guo; Dong-Hai Xiong; Li-Hua Li; Robert R Recker; Hong-Wen Deng
Journal:  Hum Genet       Date:  2005-05-20       Impact factor: 4.132

7.  Genome-wide scan identified QTLs underlying femoral neck cross-sectional geometry that are novel studied risk factors of osteoporosis.

Authors:  Dong-Hai Xiong; Hui Shen; Peng Xiao; Yan-Fang Guo; Ji-Rong Long; Lan-Juan Zhao; Yao-Zhong Liu; Hong-Yi Deng; Jin-Long Li; Robert R Recker; Hong-Wen Deng
Journal:  J Bone Miner Res       Date:  2005-12-05       Impact factor: 6.741

8.  Novel loci regulating bone anabolic response to loading: expression QTL analysis in C57BL/6JXC3H/HeJ mice cross.

Authors:  Chandrasekhar Kesavan; David J Baylink; Susanna Kapoor; Subburaman Mohan
Journal:  Bone       Date:  2007-04-27       Impact factor: 4.398

9.  The mouse genome database (MGD): new features facilitating a model system.

Authors:  Janan T Eppig; Judith A Blake; Carol J Bult; James A Kadin; Joel E Richardson
Journal:  Nucleic Acids Res       Date:  2006-11-29       Impact factor: 16.971

10.  Genetic randomization reveals functional relationships among morphologic and tissue-quality traits that contribute to bone strength and fragility.

Authors:  Karl J Jepsen; Bin Hu; Steven M Tommasini; Hayden-William Courtland; Christopher Price; Carl J Terranova; Joseph H Nadeau
Journal:  Mamm Genome       Date:  2007-06-08       Impact factor: 2.957

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  12 in total

1.  Genome-wide association of an integrated osteoporosis-related phenotype: is there evidence for pleiotropic genes?

Authors:  David Karasik; Ching Lung Cheung; Yanhua Zhou; L Adrienne Cupples; Douglas P Kiel; Serkalem Demissie
Journal:  J Bone Miner Res       Date:  2012-02       Impact factor: 6.741

2.  Comprehensive skeletal phenotyping and linkage mapping in an intercross of recombinant congenic mouse strains HcB-8 and HcB-23.

Authors:  Neema Saless; Suzanne J Litscher; Meghan J Houlihan; In Kyu Han; Derek Wilson; Peter Demant; Robert D Blank
Journal:  Cells Tissues Organs       Date:  2011-05-30       Impact factor: 2.481

Review 3.  Endothelin Signaling in Bone.

Authors:  Jasmin Kristianto; Michael G Johnson; Rafia Afzal; Robert D Blank
Journal:  Endocrinol Metab Clin North Am       Date:  2016-11-26       Impact factor: 4.741

4.  Combined exposure to big endothelin-1 and mechanical loading in bovine sternal cores promotes osteogenesis.

Authors:  Luisa A Meyer; Michael G Johnson; Diane M Cullen; Juan F Vivanco; Robert D Blank; Heidi-Lynn Ploeg; Everett L Smith
Journal:  Bone       Date:  2016-02-12       Impact factor: 4.398

5.  Genetic perturbations that impair functional trait interactions lead to reduced bone strength and increased fragility in mice.

Authors:  Lauren M Smith; Erin M R Bigelow; Bonnie T Nolan; Meghan E Faillace; Joseph H Nadeau; Karl J Jepsen
Journal:  Bone       Date:  2014-07-06       Impact factor: 4.398

Review 6.  Impact of the environment on the skeleton: is it modulated by genetic factors?

Authors:  Cheryl L Ackert-Bicknell; David Karasik
Journal:  Curr Osteoporos Rep       Date:  2013-09       Impact factor: 5.096

7.  Low bone strength is a manifestation of phenylketonuria in mice and is attenuated by a glycomacropeptide diet.

Authors:  Patrick Solverson; Sangita G Murali; Suzanne J Litscher; Robert D Blank; Denise M Ney
Journal:  PLoS One       Date:  2012-09-18       Impact factor: 3.240

8.  Endothelin signaling regulates mineralization and posttranscriptionally regulates SOST in TMOb cells via miR 126-3p.

Authors:  Michael G Johnson; Kathryn Konicke; Jasmin Kristianto; Anne Gustavson; Rachel Garbo; Xiaohu Wang; Baozhi Yuan; Robert D Blank
Journal:  Physiol Rep       Date:  2017-02

9.  Blood pressure, artery size, and artery compliance parallel bone size and strength in mice with differing ece1 expression.

Authors:  Zhijie Wang; Jasmin Kristianto; Chen Yen Ooi; Michael G Johnson; Suzanne J Litscher; Thomas D Pugh; Gurpreet Sandhu; Naomi C Chesler; Robert D Blank
Journal:  J Biomech Eng       Date:  2013-06       Impact factor: 2.097

10.  Congenic Strains Confirm the Pleiotropic Effect of Chromosome 4 QTL on Mouse Femoral Geometry and Biomechanical Performance.

Authors:  Jasmin Kristianto; Suzanne J Litscher; Michael G Johnson; Forum Patel; Mital Patel; Jacqueline Fisher; Ryley K Zastrow; Abigail B Radcliff; Robert D Blank
Journal:  PLoS One       Date:  2016-02-05       Impact factor: 3.240

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