Literature DB >> 20102754

Linkage mapping of femoral material properties in a reciprocal intercross of HcB-8 and HcB-23 recombinant mouse strains.

Neema Saless1, Gloria E Lopez Franco, Suzanne Litscher, Robbie S Kattappuram, Meghan J Houlihan, Ray Vanderby, Peter Demant, Robert D Blank.   

Abstract

Skeletal fragility is an important health problem with a large genetic component. We performed a 603 animal F2 reciprocal intercross of the recombinant congenic strains HcB-8 and HcB-23 to genetically map quantitative trait loci (QTLs) for tissue-level femoral biomechanical performance. These included elastic and post-yield strain, Young's modulus, elastic and maximum stress, and toughness and were calculated from 3-point bend testing of femora by the application of standard beam equations. We mapped these with R/qtl and QTL Cartographer and established significance levels empirically by permutation testing. Significant QTLs for at least one trait are present on chromosomes 1, 6, and 10 in the full F2 population, with additional QTLs evident in subpopulations defined by sex and cross direction. On chromosome 10, we find a QTL for post-yield strain and toughness, phenotypes that have not been mapped previously. Notably, the HcB-8 allele at this QTL increases post-yield strain and toughness, but decreases bone mineral density (BMD), while the material property QTLs on chromosomes 1, 6, and at a second chromosome 10 QTL are independent of BMD. We find significant sex x QTL and cross direction x QTL interactions. A robust, pleiotropic chromosome 4 QTL that we previously reported at the whole-bone level showed no evidence of linkage at the tissue-level, supporting our interpretation that modeling capacity is its primary phenotype. Our data demonstrate an inverse relationship between femoral perimeter and Young's modulus, with R(2)=0.27, supporting the view that geometric and material bone properties are subject to an integrated set of regulatory mechanisms. Mapping QTLs for tissue-level biomechanical performance advances understanding of the genetic basis of bone quality. Published by Elsevier Inc.

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Year:  2010        PMID: 20102754      PMCID: PMC2854180          DOI: 10.1016/j.bone.2010.01.375

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


  41 in total

1.  Quantitative trait loci for BMD in an SM/J by NZB/BlNJ intercross population and identification of Trps1 as a probable candidate gene.

Authors:  Naoki Ishimori; Ioannis M Stylianou; Ron Korstanje; Michael A Marion; Renhua Li; Leah Rae Donahue; Clifford J Rosen; Wesley G Beamer; Beverly Paigen; Gary A Churchill
Journal:  J Bone Miner Res       Date:  2008-09       Impact factor: 6.741

2.  Sex-specific genetic loci for femoral neck bone mass and strength identified in inbred COP and DA rats.

Authors:  Imranul Alam; Qiwei Sun; Lixiang Liu; Daniel L Koller; Lucinda G Carr; Michael J Econs; Tatiana Foroud; Charles H Turner
Journal:  J Bone Miner Res       Date:  2008-06       Impact factor: 6.741

3.  Quantitative trait loci for biomechanical performance and femoral geometry in an intercross of recombinant congenic mice: restriction of the Bmd7 candidate interval.

Authors:  Neema Saless; Suzanne J Litscher; Gloria E Lopez Franco; Meghan J Houlihan; Shaan Sudhakaran; Khalid Abdul Raheem; Tyriina K O'Neil; Ray Vanderby; Peter Demant; Robert D Blank
Journal:  FASEB J       Date:  2009-03-04       Impact factor: 5.191

Review 4.  Genetics of osteoporosis.

Authors:  Stuart H Ralston
Journal:  Proc Nutr Soc       Date:  2007-05       Impact factor: 6.297

5.  Quantitative trait loci that determine mouse tibial nanoindentation properties in an F2 population derived from C57BL/6J x C3H/HeJ.

Authors:  Yan Jiao; Hank Chiu; Zaifeng Fan; Feng Jiao; Eugene C Eckstein; Wesley G Beamer; Weikuan Gu
Journal:  Calcif Tissue Int       Date:  2007-06-07       Impact factor: 4.333

6.  Biomechanical testing in experimental bone interventions--May the power be with you.

Authors:  Olli V Leppänen; Harri Sievänen; Teppo L N Järvinen
Journal:  J Biomech       Date:  2008-05-05       Impact factor: 2.712

7.  Identification of a quantitative trait locus on rat chromosome 4 that is strongly linked to femoral neck structure and strength.

Authors:  I Alam; Q Sun; L Liu; D L Koller; T Fishburn; L G Carr; M J Econs; T Foroud; C H Turner
Journal:  Bone       Date:  2006-02-03       Impact factor: 4.398

Review 8.  The use of clinical risk factors enhances the performance of BMD in the prediction of hip and osteoporotic fractures in men and women.

Authors:  J A Kanis; A Oden; O Johnell; H Johansson; C De Laet; J Brown; P Burckhardt; C Cooper; C Christiansen; S Cummings; J A Eisman; S Fujiwara; C Glüer; D Goltzman; D Hans; M-A Krieg; A La Croix; E McCloskey; D Mellstrom; L J Melton; H Pols; J Reeve; K Sanders; A-M Schott; A Silman; D Torgerson; T van Staa; N B Watts; N Yoshimura
Journal:  Osteoporos Int       Date:  2007-02-24       Impact factor: 4.507

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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  13 in total

1.  Identification of quantitative trait loci influencing skeletal architecture in mice: emergence of Cdh11 as a primary candidate gene regulating femoral morphology.

Authors:  Charles R Farber; Scott A Kelly; Ethan Baruch; Daniel Yu; Kunjie Hua; Derrick L Nehrenberg; Fernando Pardo-Manuel de Villena; Ryan J Buus; Theodore Garland; Daniel Pomp
Journal:  J Bone Miner Res       Date:  2011-09       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.  Linkage mapping of principal components for femoral biomechanical performance in a reciprocal HCB-8 × HCB-23 intercross.

Authors:  Neema Saless; Suzanne J Litscher; Ray Vanderby; Peter Demant; Robert D Blank
Journal:  Bone       Date:  2010-10-20       Impact factor: 4.398

Review 5.  Genetic regulation of bone strength: a review of animal model studies.

Authors:  Douglas J Adams; Cheryl L Ackert-Bicknell
Journal:  Bonekey Rep       Date:  2015-07-08

6.  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

7.  Bone and Muscle Pleiotropy: The Genetics of Associated Traits.

Authors:  Robert D Blank
Journal:  Clin Rev Bone Miner Metab       Date:  2014-02-18

Review 8.  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

9.  A new mapping method for quantitative trait loci of silkworm.

Authors:  Hai-Ming Xu; Chang-Shuai Wei; Yun-Ting Tang; Zhi-Hong Zhu; Yang-Fu Sima; Xiang-Yang Lou
Journal:  BMC Genet       Date:  2011-01-28       Impact factor: 2.797

10.  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

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