Literature DB >> 28722129

Bone Strength Estimated by Micro-Finite Element Analysis (µFEA) Is Heritable and Shares Genetic Predisposition With Areal BMD: The Framingham Study.

David Karasik1,2, Serkalem Demissie3, Darlene Lu3, Kerry E Broe1, Steven K Boyd4, Ching-Ti Liu3, Yi-Hsiang Hsu1,5,6, Mary L Bouxsein5,7, Douglas P Kiel1,5,6,8.   

Abstract

Genetic factors contribute to the risk of bone fractures, partly because of effects on bone strength. High-resolution peripheral quantitative computed tomography (HR-pQCT) estimates bone strength using micro-finite element analysis (µFEA). The goal of this study was to investigate if the bone failure load estimated by HR-pQCT-based µFEA is heritable and to what extent it shares genetic regulation with areal bone mineral density (aBMD). Bone microarchitecture was measured by HR-pQCT at the ultradistal tibia and ultradistal radius in adults from the Framingham Heart Study (n = 1087, mean age 72 years; 57% women). Radial and tibial failure load in compression were estimated by µFEA. Femoral neck (FN) and ultradistal forearm (UD) aBMD were measured by dual-energy X-ray absorptiometry (DXA). Heritability (h2 ) of failure load and aBMD and genetic correlations between them was estimated adjusting for covariates (age and sex). Failure load values at the non-weight-bearing ultradistal radius and at the weight-bearing ultradistal tibia were highly correlated (r = 0.906; p < 0.001). Estimates of h2 adjusted for covariates were 0.522 for the radius and 0.497 for the tibia. Additional adjustment for height did not impact on the h2 results, but adjustment for aBMD at the UD and FN somewhat decreased h2 point estimates: 0.222 and 0.380 for radius and tibia, respectively. In bivariate analysis, there was a high phenotypic and genetic correlation between covariate-adjusted failure load at the radius and UD aBMD (ρP  = 0.826, ρG  = 0.954, respectively), whereas environmental correlations were lower (ρE  = 0.696), all highly significant (p < 0.001). Similar correlations were observed between tibial failure load and femoral neck aBMD (ρP  = 0.577, ρG  = 0.703, both p < 0.001; ρE  = 0.432, p < 0.05). These data from adult members of families from a population-based cohort suggest that bone strength of distal extremities estimated by micro-finite element analysis is heritable and shares some genetic composition with areal BMD, regardless of the skeletal site.
© 2017 American Society for Bone and Mineral Research. © 2017 American Society for Bone and Mineral Research.

Entities:  

Keywords:  BONE HR-QCT/MICRO-CT; FAILURE LOAD; FINITE ELEMENT ANALYSIS; GENETIC EPIDEMIOLOGICAL STUDY; HERITABILITY

Mesh:

Year:  2017        PMID: 28722129      PMCID: PMC5685872          DOI: 10.1002/jbmr.3200

Source DB:  PubMed          Journal:  J Bone Miner Res        ISSN: 0884-0431            Impact factor:   6.741


  39 in total

1.  Joint multipoint linkage analysis of multivariate qualitative and quantitative traits. I. Likelihood formulation and simulation results.

Authors:  J T Williams; P Van Eerdewegh; L Almasy; J Blangero
Journal:  Am J Hum Genet       Date:  1999-10       Impact factor: 11.025

2.  Visual grading of motion induced image degradation in high resolution peripheral computed tomography: impact of image quality on measures of bone density and micro-architecture.

Authors:  J B Pialat; A J Burghardt; M Sode; T M Link; S Majumdar
Journal:  Bone       Date:  2011-10-13       Impact factor: 4.398

3.  Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

Authors:  Paul A Harris; Robert Taylor; Robert Thielke; Jonathon Payne; Nathaniel Gonzalez; Jose G Conde
Journal:  J Biomed Inform       Date:  2008-09-30       Impact factor: 6.317

Review 4.  Osteoporosis imaging: state of the art and advanced imaging.

Authors:  Thomas M Link
Journal:  Radiology       Date:  2012-04       Impact factor: 11.105

5.  Robust LOD scores for variance component-based linkage analysis.

Authors:  J Blangero; J T Williams; L Almasy
Journal:  Genet Epidemiol       Date:  2000       Impact factor: 2.135

Review 6.  Genetic regulation of bone mass and susceptibility to osteoporosis.

Authors:  Stuart H Ralston; Benoit de Crombrugghe
Journal:  Genes Dev       Date:  2006-09-15       Impact factor: 11.361

7.  Finite element analysis performed on radius and tibia HR-pQCT images and fragility fractures at all sites in men.

Authors:  Nicolas Vilayphiou; Stephanie Boutroy; Pawel Szulc; Bert van Rietbergen; Francoise Munoz; Pierre D Delmas; Roland Chapurlat
Journal:  J Bone Miner Res       Date:  2011-05       Impact factor: 6.741

8.  Age, gender, and body mass effects on quantitative trait loci for bone mineral density: the Framingham Study.

Authors:  D Karasik; L A Cupples; M T Hannan; D P Kiel
Journal:  Bone       Date:  2003-09       Impact factor: 4.398

9.  Cortical porosity identifies women with osteopenia at increased risk for forearm fractures.

Authors:  Yohann Bala; Roger Zebaze; Ali Ghasem-Zadeh; Elizabeth J Atkinson; Sandra Iuliano; James M Peterson; Shreyasee Amin; Åshild Bjørnerem; L Joseph Melton; Helena Johansson; John A Kanis; Sundeep Khosla; Ego Seeman
Journal:  J Bone Miner Res       Date:  2014-06       Impact factor: 6.741

10.  Differences in skeletal microarchitecture and strength in African-American and white women.

Authors:  Melissa S Putman; Elaine W Yu; Hang Lee; Robert M Neer; Elizabeth Schindler; Alexander P Taylor; Emily Cheston; Mary L Bouxsein; Joel S Finkelstein
Journal:  J Bone Miner Res       Date:  2013-10       Impact factor: 6.741

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