Literature DB >> 10770166

Genes influencing variation in serum osteocalcin concentrations are linked to markers on chromosomes 16q and 20q.

B D Mitchell1, S A Cole, R L Bauer, S J Iturria, E A Rodriguez, J Blangero, J W MacCluer, J E Hixson.   

Abstract

Osteocalcin (OC) is an important constituent of bone that is synthesized by osteoblasts. Serum levels of OC have been used as a biochemical marker of bone turnover. To identify the genes influencing variation in serum OC levels, we conducted a genome-wide scan in 429 individuals comprising 10 large multigenerational families. OC levels were measured by immunoassay, and genetic markers were typed at approximately 10-cM intervals across the genome. Quantitative trait linkage was tested using a multipoint analysis based on variance component methodology, adjusting for the effects of age, sex, and oral contraceptive use. Significance levels for linkage were obtained empirically, by Monte Carlo simulation. The heritability of OC levels in this population was 62 +/- 8%. We detected significant evidence for linkage between a quantitative trait locus influencing serum OC levels and markers on chromosome 16q, and suggestive evidence for linkage of OC levels with markers on chromosome 20q. The multipoint lod scores peaked at 3.35 on chromosome 16 and 2.78 on chromosome 20, corresponding to P values of 0.00004 and 0.00017, respectively. A potential candidate gene for bone formation in the linked region on chromosome 20 is CDMP1, which encodes cartilage-derived morphogenetic protein 1. Future studies should evaluate whether variation in CDMP1 or in other genes in the linked regions on chromosomes 16 and 20 influence the rate of bone turnover.

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Year:  2000        PMID: 10770166     DOI: 10.1210/jcem.85.4.6571

Source DB:  PubMed          Journal:  J Clin Endocrinol Metab        ISSN: 0021-972X            Impact factor:   5.958


  11 in total

1.  Genetic analysis of serum osteocalcin and bone mineral in multigenerational Afro-Caribbean families.

Authors:  A L Kuipers; C Gundberg; C M Kammerer; A S Dressen; C S Nestlerode; A L Patrick; V W Wheeler; C H Bunker; A B Newman; J M Zmuda
Journal:  Osteoporos Int       Date:  2011-09-21       Impact factor: 4.507

Review 2.  How pleiotropic genetics of the musculoskeletal system can inform genomics and phenomics of aging.

Authors:  David Karasik
Journal:  Age (Dordr)       Date:  2010-07-02

Review 3.  Molecular genetic studies of gene identification for osteoporosis: a 2004 update.

Authors:  Yong-Jun Liu; Hui Shen; Peng Xiao; Dong-Hai Xiong; Li-Hua Li; Robert R Recker; Hong-Wen Deng
Journal:  J Bone Miner Res       Date:  2006-10       Impact factor: 6.741

Review 4.  Baboons as a model to study genetics and epigenetics of human disease.

Authors:  Laura A Cox; Anthony G Comuzzie; Lorena M Havill; Genesio M Karere; Kimberly D Spradling; Michael C Mahaney; Peter W Nathanielsz; Daniel P Nicolella; Robert E Shade; Saroja Voruganti; John L VandeBerg
Journal:  ILAR J       Date:  2013

Review 5.  Genetics of osteoporosis.

Authors:  Barbara Obermayer-Pietsch
Journal:  Wien Med Wochenschr       Date:  2006-03

6.  A common polymorphism rs1800247 in osteocalcin gene was associated with serum osteocalcin levels, bone mineral density, and fracture: the Shanghai Changfeng Study.

Authors:  Y Ling; X Gao; H Lin; H Ma; B Pan; J Gao
Journal:  Osteoporos Int       Date:  2015-07-21       Impact factor: 4.507

Review 7.  Arguments for the sake of endophenotypes: examining common misconceptions about the use of endophenotypes in psychiatric genetics.

Authors:  David C Glahn; Emma E M Knowles; D Reese McKay; Emma Sprooten; Henriette Raventós; John Blangero; Irving I Gottesman; Laura Almasy
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2014-01-24       Impact factor: 3.568

8.  Familial resemblance of bone turnover rate in men aged 40 and over-the MINOS study.

Authors:  Hoda Nagy; Clément Feyt; Roland Chapurlat; Pawel Szulc
Journal:  J Bone Miner Metab       Date:  2012-11-23       Impact factor: 2.626

9.  MiR-133a in human circulating monocytes: a potential biomarker associated with postmenopausal osteoporosis.

Authors:  Yang Wang; Ling Li; Benjamin T Moore; Xian-Hao Peng; Xiang Fang; Joan M Lappe; Robert R Recker; Peng Xiao
Journal:  PLoS One       Date:  2012-04-10       Impact factor: 3.240

Review 10.  Towards Increasing the Clinical Relevance of In Silico Methods to Predict Pathogenic Missense Variants.

Authors:  David L Masica; Rachel Karchin
Journal:  PLoS Comput Biol       Date:  2016-05-12       Impact factor: 4.475

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