Literature DB >> 16234971

Mapping quantitative trait loci for cross-sectional geometry at the femoral neck.

Hui Shen1, Ji-Rong Long, Dong-Hai Xiong, Yong-Jun Liu, Yao-Zhong Liu, Peng Xiao, Lan-Juan Zhao, Volodymyr Dvornyk, Yuan-Yuan Zhang, Sonia Rocha-Sanchez, Peng-Yuan Liu, Jin-Long Li, Hong-Wen Deng.   

Abstract

UNLABELLED: A genome-wide linkage scan was performed in a sample of 79 multiplex pedigrees to identify genomic regions linked to femoral neck cross-sectional geometry. Potential quantitative trait loci were detected at several genomic regions, such as 10q26, 20p12-q12, and chromosome X.
INTRODUCTION: Bone geometry is an important determinant of bone strength and osteoporotic fractures. Previous studies have shown that femoral neck cross-sectional geometric variables are under genetic controls. To identify genetic loci underlying variation in femoral neck cross-sectional geometry, we conducted a whole genome linkage scan for four femoral neck cross-sectional geometric variables in 79 multiplex white pedigrees.
MATERIALS AND METHODS: A total of 1816 subjects from 79 pedigrees were genotyped with 451 microsatellite markers across the human genome. We performed linkage analyses on the entire data, as well as on men and women separately.
RESULTS: Significant linkage evidence was identified at 10q26 for buckling ratio (LOD = 3.27) and Xp11 (LOD = 3.45) for cortical thickness. Chromosome region 20p12-q12 showed suggestive linkage with cross-sectional area (LOD = 2.33), cortical thickness (LOD = 2.09), and buckling ratio (LOD = 1.94). Sex-specific linkage analyses further supported the importance of 20p12-q12 for cortical thickness (LOD = 2.74 in females and LOD = 1.88 in males) and buckling ratio (LOD = 5.00 in females and LOD = 3.18 in males).
CONCLUSIONS: This study is the first genome-wide linkage scan searching for quantitative trait loci underlying femoral neck cross-sectional geometry in humans. The identification of the genes responsible for bone geometric variation will improve our knowledge of bone strength and aid in development of diagnostic approaches and interventions for osteoporotic fractures.

Entities:  

Mesh:

Year:  2005        PMID: 16234971     DOI: 10.1359/JBMR.050715

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


  13 in total

1.  Genetic determination and correlation of body weight and body mass index (BMI) and cross-sectional geometric parameters of the femoral neck.

Authors:  Hong Xu; Ji-Rong Long; Yan-Jun Yang; Fei-Yan Deng; Hong-Wen Deng
Journal:  Osteoporos Int       Date:  2006-09-02       Impact factor: 4.507

2.  Proximal hip geometry is linked to several chromosomal regions: genome-wide linkage results from the Framingham Osteoporosis Study.

Authors:  S Demissie; J Dupuis; L A Cupples; T J Beck; D P Kiel; D Karasik
Journal:  Bone       Date:  2006-10-31       Impact factor: 4.398

3.  Bivariate linkage study of proximal hip geometry and body size indices: the Framingham study.

Authors:  D Karasik; J Dupuis; L A Cupples; T J Beck; M C Mahaney; L M Havill; D P Kiel; S Demissie
Journal:  Calcif Tissue Int       Date:  2007-08-03       Impact factor: 4.333

4.  Pathway-based genome-wide association analysis identified the importance of EphrinA-EphR pathway for femoral neck bone geometry.

Authors:  Yuan Chen; Dong-Hai Xiong; Yan-Fang Guo; Feng Pan; Qi Zhou; Feng Zhang; Hong-Wen Deng
Journal:  Bone       Date:  2009-09-26       Impact factor: 4.398

5.  A bivariate whole genome linkage study identified genomic regions influencing both BMD and bone structure.

Authors:  Xiao-Gang Liu; Yong-Jun Liu; Jianfeng Liu; Yufang Pei; Dong-Hai Xiong; Hui Shen; Hong-Yi Deng; Christopher J Papasian; Betty M Drees; James J Hamilton; Robert R Recker; Hong-Wen Deng
Journal:  J Bone Miner Res       Date:  2008-11       Impact factor: 6.741

6.  Refined QTLs of osteoporosis-related traits by linkage analysis with genome-wide SNPs: Framingham SHARe.

Authors:  David Karasik; Josée Dupuis; Kelly Cho; L Adrienne Cupples; Yanhua Zhou; Douglas P Kiel; Serkalem Demissie
Journal:  Bone       Date:  2010-01-11       Impact factor: 4.398

7.  Genome-wide copy number variation association study suggested VPS13B gene for osteoporosis in Caucasians.

Authors:  F-Y Deng; L-J Zhao; Y-F Pei; B-Y Sha; X-G Liu; H Yan; L Wang; T-L Yang; R R Recker; C J Papasian; H-W Deng
Journal:  Osteoporos Int       Date:  2009-08-13       Impact factor: 4.507

8.  Genome-wide association with bone mass and geometry in the Framingham Heart Study.

Authors:  Douglas P Kiel; Serkalem Demissie; Josée Dupuis; Kathryn L Lunetta; Joanne M Murabito; David Karasik
Journal:  BMC Med Genet       Date:  2007-09-19       Impact factor: 2.103

9.  Autosome-wide linkage analysis of hip structural phenotypes in the Old Order Amish.

Authors:  E A Streeten; T J Beck; J R O'Connell; Evadnie Rampersand; D J McBride; S L Takala; T I Pollin; K Uusi-Rasi; B D Mitchell; A R Shuldiner
Journal:  Bone       Date:  2008-04-25       Impact factor: 4.398

10.  Genetics of the musculoskeletal system: a pleiotropic approach.

Authors:  David Karasik; Douglas P Kiel
Journal:  J Bone Miner Res       Date:  2008-06       Impact factor: 6.741

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.