Literature DB >> 17967140

Bivariate whole genome linkage analyses for total body lean mass and BMD.

Xiang-Li Wang1, Fei-Yan Deng, Li-Jun Tan, Hong-Yi Deng, Yao-Zhong Liu, Christopher J Papasian, Robert R Recker, Hong-Wen Deng.   

Abstract

UNLABELLED: A genome-wide bivariate analysis was conducted for TBLM and BMD at the spine and hip in a large white sample. We found some QTLs shared by TBLM and BMD in the entire sample and the sex-specific subgroups, and QTLs with potential pleiotropy were disclosed.
INTRODUCTION: Previous studies suggested that total body lean mass (TBLM) and BMD are highly genetically correlated. However, the specific shared genetic factors between TBLM and BMD are unknown.
MATERIALS AND METHODS: To identify the specific quantitative trait loci (QTLs) shared by TBLM and BMD at the spine (L1-L4) and total hip, we performed bivariate whole genome linkage analysis (WGLA) in a large sample involving 4498 white subjects of European origin.
RESULTS: Multipoint bivariate linkage analyses for 22 autosomes showed evidence of significant linkage with an LOD score of 4.86 at chromosome region 15q13 for TBLM and spine BMD in women, and suggestive linkage findings (LOD > 2.2) at 7p22 for TBLM and spine BMD for the entire sample, at 7q32 for TBLM and BMD at both spine and hip in women, and at 7q21 and 13p11 for TBLM and BMD at both spine and hip in men. Two-point linkage analyses for chromosome X also showed significant linkage signals at several regions such as Xq25. Complete pleiotropy (a single locus influencing both traits) was suggested at 7q32 and 13q11 for TBLM and BMD. Additionally, complete co-incident linkage (separate tightly clustered loci each influencing a single trait) was detected at 7p22 for TBLM and spine BMD.
CONCLUSIONS: We identified several genomic regions shared by TBLM and BMD in whites. Further studies may focus on fine mapping and identification of the specific QTLs in these candidate genomic regions.

Entities:  

Mesh:

Year:  2008        PMID: 17967140      PMCID: PMC2669157          DOI: 10.1359/jbmr.071033

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.  Relationship between body composition and bone mineral density in healthy young and premenopausal Chinese women.

Authors:  Jian-Min Liu; Hong-Yan Zhao; Guang Ning; Yong-Ju Zhao; Lian-Zhen Zhang; Li-Hao Sun; Man-Yin Xu; Jia-Lun Chen
Journal:  Osteoporos Int       Date:  2004-01-16       Impact factor: 4.507

3.  Genetic determinants of bone mineral content at the spine and radius: a twin study.

Authors:  J Dequeker; J Nijs; A Verstraeten; P Geusens; G Gevers
Journal:  Bone       Date:  1987       Impact factor: 4.398

4.  Genetic determinants of bone mass in adults. A twin study.

Authors:  N A Pocock; J A Eisman; J L Hopper; M G Yeates; P N Sambrook; S Eberl
Journal:  J Clin Invest       Date:  1987-09       Impact factor: 14.808

5.  Genetic factors in determining bone mass.

Authors:  D M Smith; W E Nance; K W Kang; J C Christian; C C Johnston
Journal:  J Clin Invest       Date:  1973-11       Impact factor: 14.808

6.  Serum leptin level is a regulator of bone mass.

Authors:  F Elefteriou; S Takeda; K Ebihara; J Magre; N Patano; C Ae Kim; Y Ogawa; X Liu; S M Ware; W J Craigen; J J Robert; C Vinson; K Nakao; J Capeau; G Karsenty
Journal:  Proc Natl Acad Sci U S A       Date:  2004-02-20       Impact factor: 11.205

7.  Blood leptin and adiponectin as possible mediators of the relation between fat mass and BMD in perimenopausal women.

Authors:  Meropi D Kontogianni; Urania G Dafni; John G Routsias; Fotini N Skopouli
Journal:  J Bone Miner Res       Date:  2004-01-05       Impact factor: 6.741

8.  Adverse outcomes of osteoporotic fractures in the general population.

Authors:  L Joseph Melton
Journal:  J Bone Miner Res       Date:  2003-06       Impact factor: 6.741

9.  Baseline measurement of bone mass predicts fracture in white women.

Authors:  S L Hui; C W Slemenda; C C Johnston
Journal:  Ann Intern Med       Date:  1989-09-01       Impact factor: 25.391

10.  Leptin receptor genotype at Gln223Arg is associated with body composition, BMD, and vertebral fracture in postmenopausal Danish women.

Authors:  Una L Fairbrother; László B Tankó; Andrew J Walley; Claus Christiansen; Philippe Froguel; Alexandra I F Blakemore
Journal:  J Bone Miner Res       Date:  2007-04       Impact factor: 6.741

View more
  10 in total

1.  Bivariate association analysis in selected samples: application to a GWAS of two bone mineral density phenotypes in males with high or low BMD.

Authors:  Aude Saint-Pierre; Jean-Marc Kaufman; Agnes Ostertag; Martine Cohen-Solal; Anne Boland; Kaatje Toye; Diana Zelenika; Mark Lathrop; Marie-Christine de Vernejoul; Maria Martinez
Journal:  Eur J Hum Genet       Date:  2011-03-23       Impact factor: 4.246

Review 2.  Molecular genetic studies of gene identification for osteoporosis: the 2009 update.

Authors:  Xiang-Hong Xu; Shan-Shan Dong; Yan Guo; Tie-Lin Yang; Shu-Feng Lei; Christopher J Papasian; Ming Zhao; Hong-Wen Deng
Journal:  Endocr Rev       Date:  2010-03-31       Impact factor: 19.871

Review 3.  Molecular genetic studies of gene identification for sarcopenia.

Authors:  Li-Jun Tan; Shan-Lin Liu; Shu-Feng Lei; Christopher J Papasian; Hong-Wen Deng
Journal:  Hum Genet       Date:  2011-06-26       Impact factor: 4.132

4.  Genome-wide association study of copy number variation identified gremlin1 as a candidate gene for lean body mass.

Authors:  Rong Hai; Yu-Fang Pei; Hui Shen; Lei Zhang; Xiao-Gang Liu; Yong Lin; Shu Ran; Feng Pan; Li-Jun Tan; Shu-Feng Lei; Tie-Lin Yang; Yan Zhang; Xue-Zhen Zhu; Lan-Juan Zhao; Hong-Wen Deng
Journal:  J Hum Genet       Date:  2011-11-03       Impact factor: 3.172

5.  Mapping quantitative traits in unselected families: algorithms and examples.

Authors:  Josée Dupuis; Jianxin Shi; Alisa K Manning; Emelia J Benjamin; James B Meigs; L Adrienne Cupples; David Siegmund
Journal:  Genet Epidemiol       Date:  2009-11       Impact factor: 2.135

6.  An investigation into the relationship between soft tissue body composition and bone mineral density in a young adult twin sample.

Authors:  Leonie H Bogl; Antti Latvala; Jaakko Kaprio; Olli Sovijärvi; Aila Rissanen; Kirsi H Pietiläinen
Journal:  J Bone Miner Res       Date:  2011-01       Impact factor: 6.741

7.  Bivariate genome-wide association meta-analysis of pediatric musculoskeletal traits reveals pleiotropic effects at the SREBF1/TOM1L2 locus.

Authors:  Carolina Medina-Gomez; John P Kemp; Niki L Dimou; Eskil Kreiner; Alessandra Chesi; Babette S Zemel; Klaus Bønnelykke; Cindy G Boer; Tarunveer S Ahluwalia; Hans Bisgaard; Evangelos Evangelou; Denise H M Heppe; Lynda F Bonewald; Jeffrey P Gorski; Mohsen Ghanbari; Serkalem Demissie; Gustavo Duque; Matthew T Maurano; Douglas P Kiel; Yi-Hsiang Hsu; Bram C J van der Eerden; Cheryl Ackert-Bicknell; Sjur Reppe; Kaare M Gautvik; Truls Raastad; David Karasik; Jeroen van de Peppel; Vincent W V Jaddoe; André G Uitterlinden; Jonathan H Tobias; Struan F A Grant; Pantelis G Bagos; David M Evans; Fernando Rivadeneira
Journal:  Nat Commun       Date:  2017-07-25       Impact factor: 14.919

8.  System-wide coordinates of higher order functions in host-pathogen environment upon Mycobacterium tuberculosis infection.

Authors:  P V Parvati Sai Arun; Sravan Kumar Miryala; Aarti Rana; Sreenivasulu Kurukuti; Yusuf Akhter; Sailu Yellaboina
Journal:  Sci Rep       Date:  2018-03-22       Impact factor: 4.379

Review 9.  Genome-wide approaches for identifying genetic risk factors for osteoporosis.

Authors:  Shuyan Wu; Yongjun Liu; Lei Zhang; Yingying Han; Yong Lin; Hong-Wen Deng
Journal:  Genome Med       Date:  2013-05-29       Impact factor: 11.117

10.  Relative Contributions of Lean and Fat Mass to Bone Mineral Density: Insight From Prader-Willi Syndrome.

Authors:  Alexander Viardot; Louise Purtell; Tuan V Nguyen; Lesley V Campbell
Journal:  Front Endocrinol (Lausanne)       Date:  2018-08-22       Impact factor: 5.555

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.