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Mészáros S, Piroska M, Leel-Őssy T, Tárnoki ÁD, Tárnoki DL, Jokkel Z, Szabó H, Hosszú É, Csupor E, Kollár R, Kézdi Á, Tabák ÁG, Horváth C. Genetic and environmental determinants of bone quality: a cross-sectional analysis of the Hungarian Twin Registry. GeroScience 2024:10.1007/s11357-024-01265-2. [PMID: 38955996 DOI: 10.1007/s11357-024-01265-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2024] [Accepted: 06/25/2024] [Indexed: 07/04/2024] Open
Abstract
There is abundant evidence that bone mineral content is highly heritable, while the heritability of bone quality (i.e. trabecular bone score [TBS] and quantitative ultrasound index [QUI]) is rarely investigated. We aimed to disentangle the role of genetic, shared and unique environmental factors on TBS and QUI among Hungarian twins. Our study includes 82 twin (48 monozygotic, 33 same-sex dizygotic) pairs from the Hungarian Twin Registry. TBS was determined by DXA, QUI by calcaneal bone ultrasound. To estimate the genetic and environmental effects, we utilized ACE-variance decomposition. For the unadjusted model of TBS, an AE model provided the best fit with > 80% additive genetic heritability. Adjustment for age, sex, BMI and smoking status improved model fit with 48.0% of total variance explained by independent variables. Furthermore, there was a strong dominant genetic effect (73.7%). In contrast, unadjusted and adjusted models for QUI showed an AE structure. Adjustments improved model fit and 25.7% of the total variance was explained by independent variables. Altogether 70-90% of the variance in QUI was related to additive genetic influences. We found a strong genetic heritability of bone quality in unadjusted models. Half of the variance of TBS was explained by age, sex and BMI. Furthermore, the adjusted model suggested that the genetic component of TBS could be dominant or an epistasis could be present. In contrast, independent variables explained only a quarter of the variance of QUI and the additive heritability explained more than half of all the variance.
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Affiliation(s)
- Szilvia Mészáros
- Department of Internal Medicine and Oncology, Faculty of Medicine, Semmelweis University, Budapest, Hungary.
| | - Márton Piroska
- Medical Imaging Centre, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - Tamás Leel-Őssy
- Department of Internal Medicine and Oncology, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - Ádám Domonkos Tárnoki
- Medical Imaging Centre, Faculty of Medicine, Semmelweis University, Budapest, Hungary
- Hungarian Twin Registry, Budapest, Hungary
| | - Dávid László Tárnoki
- Medical Imaging Centre, Faculty of Medicine, Semmelweis University, Budapest, Hungary
- Hungarian Twin Registry, Budapest, Hungary
| | - Zsófia Jokkel
- Medical Imaging Centre, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - Helga Szabó
- Medical Imaging Centre, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - Éva Hosszú
- 2nd Department of Pediatrics, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - Emőke Csupor
- Health Service, Buda Castle Local Authorities, Budapest, Hungary
| | - Réka Kollár
- Department of Internal Medicine and Oncology, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - Árpád Kézdi
- Department of Internal Medicine and Oncology, Faculty of Medicine, Semmelweis University, Budapest, Hungary
- Károly Rácz Conservative Medicine Division, Doctoral College, Semmelweis University, Budapest, Hungary
| | - Ádám G Tabák
- Department of Internal Medicine and Oncology, Faculty of Medicine, Semmelweis University, Budapest, Hungary
- Department of Public Health, Faculty of Medicine, Semmelweis University, Budapest, Hungary
- UCL Brain Sciences, University College London, London, UK
| | - Csaba Horváth
- Department of Internal Medicine and Oncology, Faculty of Medicine, Semmelweis University, Budapest, Hungary
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Kim J, Kim BY, Lee JS, Jeong YM, Cho HJ, Park E, Kim D, Kim SS, Kim BT, Choi YJ, Won YY, Jin HS, Chung YS, Jeong SY. UBAP2 plays a role in bone homeostasis through the regulation of osteoblastogenesis and osteoclastogenesis. Nat Commun 2023; 14:3668. [PMID: 37339951 PMCID: PMC10281941 DOI: 10.1038/s41467-023-39448-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Accepted: 06/14/2023] [Indexed: 06/22/2023] Open
Abstract
Osteoporosis is a condition characterized by decreased bone mineral density (BMD) and reduced bone strength, leading to an increased risk of fractures. Here, to identify novel risk variants for susceptibility to osteoporosis-related traits, an exome-wide association study is performed with 6,485 exonic single nucleotide polymorphisms (SNPs) in 2,666 women of two Korean study cohorts. The rs2781 SNP in UBAP2 gene is suggestively associated with osteoporosis and BMD with p-values of 6.1 × 10-7 (odds ratio = 1.72) and 1.1 × 10-7 in the case-control and quantitative analyzes, respectively. Knockdown of Ubap2 in mouse cells decreases osteoblastogenesis and increases osteoclastogenesis, and knockdown of ubap2 in zebrafish reveals abnormal bone formation. Ubap2 expression is associated with E-cadherin (Cdh1) and Fra1 (Fosl1) expression in the osteclastogenesis-induced monocytes. UBAP2 mRNA levels are significantly reduced in bone marrow, but increased in peripheral blood, from women with osteoporosis compared to controls. UBAP2 protein level is correlated with the blood plasma level of the representative osteoporosis biomarker osteocalcin. These results suggest that UBAP2 has a critical role in bone homeostasis through the regulation of bone remodeling.
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Affiliation(s)
- Jeonghyun Kim
- Department of Medical Genetics, Ajou University School of Medicine, Suwon, Republic of Korea
- Department of Biomedical Sciences, Ajou University Graduate School of Medicine, Suwon, Republic of Korea
| | - Bo-Young Kim
- Division of Intractable Disease, Center for Biomedical Sciences, National Institute of Health, Korea Centers for Disease Control & Prevention, Cheongju, Republic of Korea
| | - Jeong-Soo Lee
- Sungkyunkwan University School of Medicine, Suwon, Republic of Korea
- Microbiome Convergence Research Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon, Republic of Korea
- KRIBB School, University of Science and Technology, Daejeon, Republic of Korea
| | - Yun-Mi Jeong
- Disease Target Structure Research Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon, Republic of Korea
| | - Hyun-Ju Cho
- Microbiome Convergence Research Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon, Republic of Korea
| | - Eunkuk Park
- Department of Medical Genetics, Ajou University School of Medicine, Suwon, Republic of Korea
| | - Dowan Kim
- Department of Medical Genetics, Ajou University School of Medicine, Suwon, Republic of Korea
| | - Sung-Soo Kim
- Department of Biomedical Laboratory Science, College of Life and Health Sciences, Hoseo University, Asan, Republic of Korea
| | - Bom-Taeck Kim
- Department of Family Practice and Community Health, Ajou University School of Medicine, Suwon, Republic of Korea
| | - Yong Jun Choi
- Department of Endocrinology and Metabolism, Ajou University School of Medicine, Suwon, Republic of Korea
| | - Ye-Yeon Won
- Department of Orthopedic Surgery, Ajou University School of Medicine, Suwon, Republic of Korea
| | - Hyun-Seok Jin
- Department of Biomedical Laboratory Science, College of Life and Health Sciences, Hoseo University, Asan, Republic of Korea.
| | - Yoon-Sok Chung
- Department of Endocrinology and Metabolism, Ajou University School of Medicine, Suwon, Republic of Korea.
| | - Seon-Yong Jeong
- Department of Medical Genetics, Ajou University School of Medicine, Suwon, Republic of Korea.
- Department of Biomedical Sciences, Ajou University Graduate School of Medicine, Suwon, Republic of Korea.
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3
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Teerlink CC, Jurynec MJ, Hernandez R, Stevens J, Hughes DC, Brunker CP, Rowe K, Grunwald DJ, Facelli JC, Cannon-Albright LA. A role for the MEGF6 gene in predisposition to osteoporosis. Ann Hum Genet 2021; 85:58-72. [PMID: 33026655 PMCID: PMC8274237 DOI: 10.1111/ahg.12408] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2020] [Revised: 05/19/2020] [Accepted: 09/23/2020] [Indexed: 12/12/2022]
Abstract
Osteoporosis is a common skeletal disorder characterized by deterioration of bone tissue. The set of genetic factors contributing to osteoporosis is not completely specified. High-risk osteoporosis pedigrees were analyzed to identify genes that may confer susceptibility to disease. Candidate predisposition variants were identified initially by whole exome sequencing of affected-relative pairs, approximately cousins, from 10 pedigrees. Variants were filtered on the basis of population frequency, concordance between pairs of cousins, affecting a gene associated with osteoporosis, and likelihood to have functionally damaging, pathogenic consequences. Subsequently, variants were tested for segregation in 68 additional relatives of the index carriers. A rare variant in MEGF6 (rs755467862) showed strong evidence of segregation with the disease phenotype. Predicted protein folding indicated the variant (Cys200Tyr) may disrupt structure of an EGF-like calcium-binding domain of MEGF6. Functional analyses demonstrated that complete loss of the paralogous genes megf6a and megf6b in zebrafish resulted in significant delay of cartilage and bone formation. Segregation analyses, in silico protein structure modeling, and functional assays support a role for MEGF6 in predisposition to osteoporosis.
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Affiliation(s)
- Craig C. Teerlink
- Genetic Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, 84132, USA
| | - Michael J Jurynec
- Department of Orthopaedics , University of Utah, Salt Lake City, 84108, USA
| | - Rolando Hernandez
- Department of Biomedical Informatics, University of Utah, Salt Lake City, 84108, USA
| | - Jeff Stevens
- Genetic Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, 84132, USA
| | - Dana C. Hughes
- Genetic Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, 84132, USA
- Department of Internal Medicine, University of Utah, Salt Lake City, 84132, USA
| | - Cherie P. Brunker
- Department of Internal Medicine, University of Utah, Salt Lake City, 84132, USA
- Intermountain Healthcare, Salt Lake City, UT, 84113, USA
| | - Kerry Rowe
- Intermountain Healthcare, Salt Lake City, UT, 84113, USA
| | - David J. Grunwald
- Department of Human Genetics, University of Utah, Salt Lake City, UT, 84112, USA
| | - Julio C. Facelli
- Department of Biomedical Informatics, University of Utah, Salt Lake City, 84108, USA
| | - Lisa A. Cannon-Albright
- Genetic Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, 84132, USA
- George E. Wahlen Department of Veterans Affairs Medical Center, Salt Lake City, UT, 84148, USA
- Huntsman Cancer Institute, Salt Lake City, UT, 84112, USA
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4
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Xiao W, He J, Fu W, Xu Y, Zhang Z. LOX gene polymorphisms are associated with osteoporotic vertebral compression fracture in postmenopausal Chinese women. Gene 2020; 741:144543. [PMID: 32165300 DOI: 10.1016/j.gene.2020.144543] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2019] [Revised: 02/09/2020] [Accepted: 03/08/2020] [Indexed: 01/22/2023]
Abstract
INTRODUCTION Collagen cross-linking, which is regulated by lysyl oxidase (LOX), plays critical roles in bone mechanical strength. LOX can influence bone remodeling by modulating osteoblast and osteoclast activity. This study aimed to explore the effect of LOX gene polymorphisms on osteoporotic fractures susceptibility in postmenopausal Chinese women. METHODS This was a prospective study of postmenopausal women who visited the outpatient and community clinics of the local Hospital. Five tagging single nucleotide polymorphisms (SNPs) in the LOX gene were determined. Bone mineral density (BMD) was measured at the lumbar spine, femoral neck, and hip using dual-energy X-ray absorptiometry. Fractures were confirmed by X-ray and divided into: vertebral compression fracture (OVCF) and non-OVCF (all other fractures). RESULTS This study included 602 patients with non-traumatic fractures and 1343 healthy volunteers. The rs1800449 was significantly associated with vertebral compression fracture (OVCF) after adjusting for age and BMI (P = 0.012). Compared with subjects with the GG genotype, the risk of having OVCF was 1.28 and 1.74, respectively for subjects with the GA and AA genotypes (P = 0.043 and P = 0.018). A recessive genetic model showed that carriers of the AA genotype had higher fracture risk compared to G carriers (GA and GG genotypes) (P = 0.015). The rs2288393 SNP exhibited marginally significant association with OVCF (P = 0.051). Haplotype analyses corroborated our single SNP results: both haplotype CGA and CCG contained rs10519694, rs2288393, and rs1800449, and were significant associated with OVCF (P = 0.048 and P = 0.032, respectively). On the other hand, we found no evidence of an association of LOX gene allelic variants with either BMD or non-OVCF (all P > 0.05). CONCLUSION The results suggest that genetic polymorphisms in LOX may contribute to susceptibility to OVCF in Chinese postmenopausal women.
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Affiliation(s)
- Wenjin Xiao
- Department of Endocrinology, Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215004, China
| | - Jinwei He
- Shanghai Clinical Research Center of Bone Disease, Department of Osteoporosis and Bone Diseases, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China
| | - Wenzhen Fu
- Shanghai Clinical Research Center of Bone Disease, Department of Osteoporosis and Bone Diseases, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China
| | - Youjia Xu
- Department of Orthopaedics, Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215004, China; Osteoporosis Institute of Soochow University, Suzhou, Jiangsu 215004, China.
| | - Zhenlin Zhang
- Shanghai Clinical Research Center of Bone Disease, Department of Osteoporosis and Bone Diseases, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China.
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5
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Gregson CL, Bergen DJM, Leo P, Sessions RB, Wheeler L, Hartley A, Youlten S, Croucher PI, McInerney-Leo AM, Fraser W, Tang JC, Anderson L, Marshall M, Sergot L, Paternoster L, Davey Smith G, Brown MA, Hammond C, Kemp JP, Tobias JH, Duncan EL. A Rare Mutation in SMAD9 Associated With High Bone Mass Identifies the SMAD-Dependent BMP Signaling Pathway as a Potential Anabolic Target for Osteoporosis. J Bone Miner Res 2020; 35:92-105. [PMID: 31525280 PMCID: PMC7004081 DOI: 10.1002/jbmr.3875] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/20/2019] [Revised: 08/19/2019] [Accepted: 08/25/2019] [Indexed: 01/17/2023]
Abstract
Novel anabolic drug targets are needed to treat osteoporosis. Having established a large national cohort with unexplained high bone mass (HBM), we aimed to identify a novel monogenic cause of HBM and provide insight into a regulatory pathway potentially amenable to therapeutic intervention. We investigated a pedigree with unexplained HBM in whom previous sequencing had excluded known causes of monogenic HBM. Whole exome sequencing identified a rare (minor allele frequency 0.0023), highly evolutionarily conserved missense mutation in SMAD9 (c.65T>C, p.Leu22Pro) segregating with HBM in this autosomal dominant family. The same mutation was identified in another two unrelated individuals both with HBM. In silico protein modeling predicts the mutation severely disrupts the MH1 DNA-binding domain of SMAD9. Affected individuals have bone mineral density (BMD) Z-scores +3 to +5, mandible enlargement, a broad frame, torus palatinus/mandibularis, pes planus, increased shoe size, and a tendency to sink when swimming. Peripheral quantitative computed tomography (pQCT) measurement demonstrates increased trabecular volumetric BMD and increased cortical thickness conferring greater predicted bone strength; bone turnover markers are low/normal. Notably, fractures and nerve compression are not found. Both genome-wide and gene-based association testing involving estimated BMD measured at the heel in 362,924 white British subjects from the UK Biobank Study showed strong associations with SMAD9 (PGWAS = 6 × 10-16 ; PGENE = 8 × 10-17 ). Furthermore, we found Smad9 to be highly expressed in both murine cortical bone-derived osteocytes and skeletal elements of zebrafish larvae. Our findings support SMAD9 as a novel HBM gene and a potential novel osteoanabolic target for osteoporosis therapeutics. SMAD9 is thought to inhibit bone morphogenetic protein (BMP)-dependent target gene transcription to reduce osteoblast activity. Thus, we hypothesize SMAD9 c.65T>C is a loss-of-function mutation reducing BMP inhibition. Lowering SMAD9 as a potential novel anabolic mechanism for osteoporosis therapeutics warrants further investigation. © 2019 The Authors. Journal of Bone and Mineral Research published by American Society for Bone and Mineral Research.
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Affiliation(s)
- Celia L Gregson
- Musculoskeletal Research Unit, Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Dylan J M Bergen
- Musculoskeletal Research Unit, Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.,School of Physiology, Pharmacology, and Neuroscience, Faculty of Life Sciences, University of Bristol, Bristol, UK
| | - Paul Leo
- Faculty of Health, Translational Genomics Group, Institute of Health and Biomedical Innovation, Queensland University of Technology (QUT), Translational Research Institute, Princess Alexandra Hospital, Woolloongabba, Australia
| | - Richard B Sessions
- Faculty of Life Sciences, School of Biochemistry, University of Bristol, Bristol, UK
| | - Lawrie Wheeler
- Faculty of Health, Translational Genomics Group, Institute of Health and Biomedical Innovation, Queensland University of Technology (QUT), Translational Research Institute, Princess Alexandra Hospital, Woolloongabba, Australia
| | - April Hartley
- Musculoskeletal Research Unit, Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.,Medical Research Council Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Scott Youlten
- Division of Bone Biology, Garvan Institute of Medical Research, Sydney, Australia
| | - Peter I Croucher
- Division of Bone Biology, Garvan Institute of Medical Research, Sydney, Australia.,Faculty of Medicine, St Vincent's Clinical School, UNSW Sydney, Sydney, Australia.,School of Biotechnology and Biomolecular Sciences, UNSW Sydney, Sydney, Australia
| | - Aideen M McInerney-Leo
- Faculty of Health, Translational Genomics Group, Institute of Health and Biomedical Innovation, Queensland University of Technology (QUT), Translational Research Institute, Princess Alexandra Hospital, Woolloongabba, Australia.,Dermatology Research Centre, The University of Queensland, The University of Queensland Diamantina Institute, Brisbane, Australia
| | - William Fraser
- Norwich Medical School, University of East Anglia, Norwich, UK.,Department of Diabetes, Endocrinology and Clinical Biochemistry, Norfolk and Norwich University Hospital NHS Foundation Trust, Norwich, UK
| | | | - Lisa Anderson
- Faculty of Health, Translational Genomics Group, Institute of Health and Biomedical Innovation, Queensland University of Technology (QUT), Translational Research Institute, Princess Alexandra Hospital, Woolloongabba, Australia
| | - Mhairi Marshall
- Faculty of Health, Translational Genomics Group, Institute of Health and Biomedical Innovation, Queensland University of Technology (QUT), Translational Research Institute, Princess Alexandra Hospital, Woolloongabba, Australia
| | - Leon Sergot
- Severn School of Radiology, Severn Deanery, Bristol, UK
| | - Lavinia Paternoster
- Medical Research Council Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - George Davey Smith
- Medical Research Council Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
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- Faculty of Health, Translational Genomics Group, Institute of Health and Biomedical Innovation, Queensland University of Technology (QUT), Translational Research Institute, Princess Alexandra Hospital, Woolloongabba, Australia
| | - Matthew A Brown
- Faculty of Health, Translational Genomics Group, Institute of Health and Biomedical Innovation, Queensland University of Technology (QUT), Translational Research Institute, Princess Alexandra Hospital, Woolloongabba, Australia
| | - Chrissy Hammond
- School of Physiology, Pharmacology, and Neuroscience, Faculty of Life Sciences, University of Bristol, Bristol, UK
| | - John P Kemp
- Medical Research Council Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.,Faculty of Medicine, The University of Queensland Diamantina Institute, The University of Queensland, Woolloongabba, Australia
| | - Jon H Tobias
- Musculoskeletal Research Unit, Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Emma L Duncan
- Faculty of Health, Translational Genomics Group, Institute of Health and Biomedical Innovation, Queensland University of Technology (QUT), Translational Research Institute, Princess Alexandra Hospital, Woolloongabba, Australia.,Department of Endocrinology and Diabetes, Royal Brisbane & Women's Hospital, Herston, Australia.,Faculty of Medicine, University of Queensland, Herston, Australia
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6
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Vlok J, Simm PJ, Lycett K, Clifford SA, Grobler AC, Lange K, Ismail N, Osborn W, Wake M. pQCT bone geometry and strength: population epidemiology and concordance in Australian children aged 11-12 years and their parents. BMJ Open 2019; 9:63-74. [PMID: 31273017 PMCID: PMC6624036 DOI: 10.1136/bmjopen-2018-022400] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2018] [Revised: 12/24/2018] [Accepted: 04/04/2019] [Indexed: 12/26/2022] Open
Abstract
OBJECTIVES To describe the epidemiology and concordance of bone health in a population-based sample of Australian parent-child dyads at child age 11-12 years. DESIGN Population-based cross-sectional study (the Child Health CheckPoint) nested between waves 6 and 7 of the Longitudinal Study of Australian Children (LSAC). SETTING Assessment centres in seven cities around Australia, February 2015-March 2016. PARTICIPANTS of all participating CheckPoint families (n=1874), bone data were available for 1222 dyads (1271 children, 50% girls; 1250 parents, 86% mothers). OUTCOME MEASURES Peripheral quantitative CT (pQCT) of the non-dominant leg scanned at the 4% (distal) and 66% (mid-calf) tibial sites. Stratec XCT 2000 software generated estimates of bone density, geometry and polar stress-strain index.Parent-child concordance were assessed using Pearson's correlation coefficients and multivariable linear regression models. Percentiles were determined using survey weights. Survey weights and methods accounted for LSAC's complex sampling, stratification and clustering within postcodes. RESULTS Concordances were greater for the geometric pQCT parameters (periosteal circumference 0.38, 95% CI 0.33 to 0.43; endosteal circumference 0.42, 95% CI 0.37 to 0.47; total cross-sectional area 0.37, 95% CI 0.32 to 0.42) than density (cortical density 0.25, 95% CI 0.19 to 0.30). Mother-child and father-child values were similar. Relationships attenuated only slightly on adjustment for age, sex and body mass index. Percentiles and concordance are presented for the whole sample and by sex. CONCLUSIONS There is strong parent-child concordance in bone geometry and, to a lesser extent, density even before the period of peak adolescent bone deposition. This geometrical concordance suggests that future intergenerational bone studies could consider using pQCT rather than the more commonly used dual X-ray absorptiometry (DXA).
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Affiliation(s)
- Jennifer Vlok
- Department of Surgery, Royal Melbourne Hospital, Parkville, Victoria, Australia
- Murdoch Children’s Research Institute, Parkville, Victoria, Australia
| | - Peter J Simm
- Murdoch Children’s Research Institute, Parkville, Victoria, Australia
- Department of Paediatrics, The University of Melbourne, Parkville, Victoria, Australia
- Department of Endocrinology, The Royal Children’s Hospital, Melbourne, Victoria, Australia
| | - Kate Lycett
- Murdoch Children’s Research Institute, Parkville, Victoria, Australia
- Department of Paediatrics, The University of Melbourne, Parkville, Victoria, Australia
- School of Psychology, Deakin University, Burwood, Victoria, Australia
| | - Susan A Clifford
- Murdoch Children’s Research Institute, Parkville, Victoria, Australia
- Department of Paediatrics, The University of Melbourne, Parkville, Victoria, Australia
| | - Anneke C Grobler
- Murdoch Children’s Research Institute, Parkville, Victoria, Australia
- Department of Paediatrics, The University of Melbourne, Parkville, Victoria, Australia
| | - Katherine Lange
- Murdoch Children’s Research Institute, Parkville, Victoria, Australia
- Department of Paediatrics, The University of Melbourne, Parkville, Victoria, Australia
| | - Najmi Ismail
- Murdoch Children’s Research Institute, Parkville, Victoria, Australia
| | - William Osborn
- Murdoch Children’s Research Institute, Parkville, Victoria, Australia
| | - Melissa Wake
- Murdoch Children’s Research Institute, Parkville, Victoria, Australia
- Department of Paediatrics, The University of Melbourne, Parkville, Victoria, Australia
- Department of Paediatrics and The Liggins Institute, The University of Auckland, Auckland, New Zealand
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7
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Gregson CL, Newell F, Leo PJ, Clark GR, Paternoster L, Marshall M, Forgetta V, Morris JA, Ge B, Bao X, Duncan Bassett JH, Williams GR, Youlten SE, Croucher PI, Davey Smith G, Evans DM, Kemp JP, Brown MA, Tobias JH, Duncan EL. Genome-wide association study of extreme high bone mass: Contribution of common genetic variation to extreme BMD phenotypes and potential novel BMD-associated genes. Bone 2018; 114:62-71. [PMID: 29883787 PMCID: PMC6086337 DOI: 10.1016/j.bone.2018.06.001] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2018] [Revised: 05/13/2018] [Accepted: 06/02/2018] [Indexed: 12/29/2022]
Abstract
BACKGROUND Generalised high bone mass (HBM), associated with features of a mild skeletal dysplasia, has a prevalence of 0.18% in a UK DXA-scanned adult population. We hypothesized that the genetic component of extreme HBM includes contributions from common variants of small effect and rarer variants of large effect, both enriched in an extreme phenotype cohort. METHODS We performed a genome-wide association study (GWAS) of adults with either extreme high or low BMD. Adults included individuals with unexplained extreme HBM (n = 240) from the UK with BMD Z-scores ≥+3.2, high BMD females from the Anglo-Australasian Osteoporosis Genetics Consortium (AOGC) (n = 1055) with Z-scores +1.5 to +4.0 and low BMD females also part of AOGC (n = 900), with Z-scores -1.5 to -4.0. Following imputation, we tested association between 6,379,332 SNPs and total hip and lumbar spine BMD Z-scores. For potential target genes, we assessed expression in human osteoblasts and murine osteocytes. RESULTS We observed significant enrichment for associations with established BMD-associated loci, particularly those known to regulate endochondral ossification and Wnt signalling, suggesting that part of the genetic contribution to unexplained HBM is polygenic. Further, we identified associations exceeding genome-wide significance between BMD and four loci: two established BMD-associated loci (5q14.3 containing MEF2C and 1p36.12 containing WNT4) and two novel loci: 5p13.3 containing NPR3 (rs9292469; minor allele frequency [MAF] = 0.33%) associated with lumbar spine BMD and 11p15.2 containing SPON1 (rs2697825; MAF = 0.17%) associated with total hip BMD. Mouse models with mutations in either Npr3 or Spon1 have been reported, both have altered skeletal phenotypes, providing in vivo validation that these genes are physiologically important in bone. NRP3 regulates endochondral ossification and skeletal growth, whilst SPON1 modulates TGF-β regulated BMP-driven osteoblast differentiation. Rs9292469 (downstream of NPR3) also showed some evidence for association with forearm BMD in the independent GEFOS sample (n = 32,965). We found Spon1 was highly expressed in murine osteocytes from the tibiae, femora, humeri and calvaria, whereas Npr3 expression was more variable. CONCLUSION We report the most extreme-truncate GWAS of BMD performed to date. Our findings, suggest potentially new anabolic bone regulatory pathways that warrant further study.
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Affiliation(s)
- Celia L Gregson
- Musculoskeletal Research Unit, Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
| | - Felicity Newell
- Translational Genomics Group, Institute of Health and Biomedical Innovation, Queensland University of Technology at Translational Research Institute, 37 Kent Street, Woolloongabba 4102, QLD, Australia
| | - Paul J Leo
- Translational Genomics Group, Institute of Health and Biomedical Innovation, Queensland University of Technology at Translational Research Institute, 37 Kent Street, Woolloongabba 4102, QLD, Australia
| | - Graeme R Clark
- Translational Genomics Group, Institute of Health and Biomedical Innovation, Queensland University of Technology at Translational Research Institute, 37 Kent Street, Woolloongabba 4102, QLD, Australia
| | | | - Mhairi Marshall
- Translational Genomics Group, Institute of Health and Biomedical Innovation, Queensland University of Technology at Translational Research Institute, 37 Kent Street, Woolloongabba 4102, QLD, Australia
| | - Vincenzo Forgetta
- Department of Human Genetics, McGill University and Genome Quebec Innovation Centre, Montreal, Quebec, Canada
| | - John A Morris
- Department of Human Genetics, McGill University and Genome Quebec Innovation Centre, Montreal, Quebec, Canada
| | - Bing Ge
- Department of Human Genetics, McGill University and Genome Quebec Innovation Centre, Montreal, Quebec, Canada; Lady Davis Institute, Jewish General Hospital, McGill University, Montreal, Quebec, Canada
| | - Xiao Bao
- Translational Genomics Group, Institute of Health and Biomedical Innovation, Queensland University of Technology at Translational Research Institute, 37 Kent Street, Woolloongabba 4102, QLD, Australia
| | - J H Duncan Bassett
- Molecular Endocrinology Laboratory, Department of Medicine, Imperial College London, Hammersmith Campus, London W12 0NN, UK
| | - Graham R Williams
- Molecular Endocrinology Laboratory, Department of Medicine, Imperial College London, Hammersmith Campus, London W12 0NN, UK
| | - Scott E Youlten
- The Garvan Institute of Medical Research, Sydney, New South Wales, Australia
| | - Peter I Croucher
- The Garvan Institute of Medical Research, Sydney, New South Wales, Australia; St Vincent's Clinical School, University of New South Wales Medicine, Sydney, New South Wales, Australia
| | | | - David M Evans
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK; University of Queensland Diamantina Institute, Translational Research Institute, Brisbane, Queensland, Australia
| | - John P Kemp
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK; University of Queensland Diamantina Institute, Translational Research Institute, Brisbane, Queensland, Australia
| | - Matthew A Brown
- Translational Genomics Group, Institute of Health and Biomedical Innovation, Queensland University of Technology at Translational Research Institute, 37 Kent Street, Woolloongabba 4102, QLD, Australia
| | - Jon H Tobias
- Musculoskeletal Research Unit, Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Emma L Duncan
- Translational Genomics Group, Institute of Health and Biomedical Innovation, Queensland University of Technology at Translational Research Institute, 37 Kent Street, Woolloongabba 4102, QLD, Australia; Royal Brisbane and Women's Hospital, Brisbane, Queensland, Australia
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8
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Ling Y, Gao X, Lin H, Ma H, Pan B, Gao J. A common polymorphism rs1800247 in osteocalcin gene was associated with serum osteocalcin levels, bone mineral density, and fracture: the Shanghai Changfeng Study. Osteoporos Int 2016; 27:769-79. [PMID: 26194493 DOI: 10.1007/s00198-015-3244-5] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/12/2015] [Accepted: 07/08/2015] [Indexed: 11/25/2022]
Abstract
UNLABELLED We evaluated the relationship between a common polymorphism rs1800247 in osteocalcin gene and serum osteocalcin levels, bone mineral density and fracture in Chinese. This was a population-based cross-sectional study. We demonstrated that rs1800247 was associated with bone mineral density and fracture in men and serum osteocalcin levels in women. INTRODUCTION This study aimed to evaluate the relationship between a common polymorphism rs1800247 in osteocalcin gene and serum total osteocalcin levels, bone mineral density (BMD) and fracture in Chinese middle-aged and elderly men and women. METHODS This was a population-based cross-sectional study included 5561 individuals aged 45 years or older. Information on fractures sustained after age of 45 were collected. BMD at the lumbar spine, femoral neck and total hip were measured using dual-energy X-ray absorptiometry. The genotyping of rs1800247 was performed by matrix-assisted laser desorption/ionization time-of-flight mass spectroscopy. RESULTS rs1800247 was associated with lumbar spine BMD and femoral neck BMD in the dominant model adjusted for age, body mass index (BMI), serum total osteocalcin in men (both P = 0.04). Besides, rs1800247 was associated with fracture adjusted for age, BMI, serum total osteocalcin and total hip BMD in the additive and dominant models in men (P = 0.04 and 0.01). In the dominant model, the carriers of CC and TC genotypes was associated with a lower odds of fracture compared with the carriers of TT genotype (OR = 0.60, 95%CI 0.40-0.88, P = 0.01). In men, rs1800247 was not associated with serum total osteocalcin levels in additive, dominant or recessive models. However, rs1800247 was associated with serum total osteocalcin levels in all models adjusted for age, BMI, menopausal status and total hip BMD in women (all p < 0.001), with osteocalcin levels decreasing across TT, TC and CC genotypes. rs1800247 was not associated with BMD or fracture in all models in women. CONCLUSIONS A common polymorphism rs1800247 in osteocalcin gene may affect the risk of osteoporosis and fracture and serum total osteocalcin levels in Chinese, and there may be gender differences underlying these associations.
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Affiliation(s)
- Y Ling
- Department of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, No. 180 Fenglin Road, 200032, Shanghai, China
| | - X Gao
- Department of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, No. 180 Fenglin Road, 200032, Shanghai, China.
| | - H Lin
- Department of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, No. 180 Fenglin Road, 200032, Shanghai, China
| | - H Ma
- Department of Geriatrics, Zhongshan Hospital, Fudan University, No. 180 Fenglin Road, 200032, Shanghai, China
| | - B Pan
- Department of Laboratory Medicine, Zhongshan Hospital, Fudan University, No. 180 Fenglin Road, 200032, Shanghai, China
| | - J Gao
- Department of Clinical Nutrition, Zhongshan Hospital, Fudan University, No. 180 Fenglin Road, 200032, Shanghai, China
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9
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Agarwal SC. Bone morphologies and histories: Life course approaches in bioarchaeology. AMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY 2016; 159:S130-49. [DOI: 10.1002/ajpa.22905] [Citation(s) in RCA: 86] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Sabrina C. Agarwal
- Department of Anthropology; University of California Berkeley; Berkeley CA 94720-3710
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10
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Brown MA, Kenna T, Wordsworth BP. Genetics of ankylosing spondylitis--insights into pathogenesis. Nat Rev Rheumatol 2015; 12:81-91. [PMID: 26439405 DOI: 10.1038/nrrheum.2015.133] [Citation(s) in RCA: 181] [Impact Index Per Article: 20.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Ankylosing spondylitis (AS), an immune-mediated arthritis, is the prototypic member of a group of conditions known as spondyloarthropathies that also includes reactive arthritis, psoriatic arthritis and enteropathic arthritis. Patients with these conditions share a clinical predisposition for spinal and pelvic joint dysfunction, as well as genetic associations, notably with HLA-B(*)27. Spondyloarthropathies are characterized by histopathological inflammation in entheses (regions of high mechanical stress where tendons and ligaments insert into bone) and in the subchondral bone marrow, and by abnormal osteoproliferation at involved sites. The association of AS with HLA-B(*)27, first described >40 years ago, led to hope that the cause of the disease would be rapidly established. However, even though many theories have been advanced to explain how HLA-B(*)27 is involved in AS, no consensus about the answers to this question has been reached, and no successful treatments have yet been developed that target HLA-B27 or its functional pathways. Over the past decade, rapid progress has been made in discovering further genetic associations with AS that have shed new light on the aetiopathogenesis of the disease. Some of these discoveries have driven translational ideas, such as the repurposing of therapeutics targeting the cytokines IL-12 and IL-23 and other factors downstream of this pathway. AS provides an excellent example of how hypothesis-free research can lead to major advances in understanding pathogenesis and to the development of innovative therapeutic strategies.
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Affiliation(s)
- Matthew A Brown
- University of Queensland Diamantina Institute, Translational Research Institute, Princess Alexandra Hospital, Ipswich Road, Woolloongabba, Brisbane, QLD 4102, Australia
| | - Tony Kenna
- University of Queensland Diamantina Institute, Translational Research Institute, Princess Alexandra Hospital, Ipswich Road, Woolloongabba, Brisbane, QLD 4102, Australia
| | - B Paul Wordsworth
- NIHR Oxford Musculoskeletal Biomedical Research Unit and Comprehensive Biomedical Research Centre, Nuffield Orthopaedic Centre, Windmill Road, Headington, Oxford OX3 7LD, UK
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Abstract
INTRODUCTION Osteoporosis is the commonest metabolic bone disease worldwide. The clinical hallmark of osteoporosis is low trauma fracture, with the most devastating being hip fracture, resulting in significant effects on both morbidity and mortality. SOURCES OF DATA Data for this review have been gathered from the published literature and from a range of web resources. AREAS OF AGREEMENT Genome-wide association studies in the field of osteoporosis have led to the identification of a number of loci associated with both bone mineral density and fracture risk and further increased our understanding of disease. AREAS OF CONTROVERSY The early strategies for mapping osteoporosis disease genes reported only isolated associations, with replication in independent cohorts proving difficult. Neither candidate gene or linkage studies showed association at genome-wide level of significance. GROWING POINTS The advent of massive parallel sequencing technologies has proved extremely successful in mapping monogenic diseases and thus leading to the utilization of this new technology in complex disease genetics. AREAS TIMELY FOR DEVELOPING RESEARCH The identification of novel genes and pathways will potentially lead to the identification of novel therapeutic options for patients with osteoporosis.
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Affiliation(s)
- Graeme R Clark
- Department of Medical Genetics, University of Cambridge and NIHR Cambridge Biomedical Research Centre, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK
| | - Emma L Duncan
- Human Genetics Group, The University of Queensland Diamantina Institute, Translational Research Institute, Princess Alexandra Hospital, 37 Kent Street, Woolloongabba QLD 4102, Australia Mayne Medical School, School of Medicine, Faculty of Medicine and Biomedical Sciences, The University of Queensland, 288 Herston Road, Herston, QLD, 4006, Australia Department of Endocrinology and Diabetes, Royal Brisbane and Women's Hospital, Butterfield Road, Herston QLD 4029, Australia
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12
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Dong SS, Yang TL, Yan H, Rong ZQ, Chen JB, Hao RH, Chen XF, Guo Y. Association analyses of FGFR2 gene polymorphisms with femoral neck bone mineral density in Chinese Han population. Mol Genet Genomics 2014; 290:485-91. [PMID: 25300516 DOI: 10.1007/s00438-014-0936-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2014] [Accepted: 09/30/2014] [Indexed: 12/26/2022]
Abstract
Femoral neck (FN) bone mineral density (BMD) is the most important risk phenotype for osteoporosis and has been used as a reference standard for describing osteoporosis. Identification of genetic variations associated with FN BMD may provide potential targets for therapeutic studies. Given the important biological role of FGFR2 gene involved in bone, we tested the associations between FGFR2 polymorphisms and FN BMD in 1,300 Chinese Han subjects. Of the 28 total SNPs, 2 SNPs, namely rs11200014 and rs1078806, were significantly associated with FN BMD under dominant model (P = 0.0014 and 0.0012, respectively) after conservative Bonferroni correction. The two SNPs were in complete linkage disequilibrium. In addition, haplotype-based association tests identified two haplotypes significantly associated with FN BMD, including one haplotype in block 4 where the two SNPs located. However, different from previous studies in white older men, we did not detect any significant association in sex-stratified analyses. In summary, our findings suggest that the FGFR2 gene may play an important role in variation in FN BMD in Chinese Han population, independent of gender effects. Further studies performed in multiple and large samples are needed to elucidate the underlying molecular mechanism and pathophysiology of osteoporosis.
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Affiliation(s)
- Shan-Shan Dong
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, and Institute of Molecular Genetics, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, People's Republic of China
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13
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Alam I, Koller DL, Cañete T, Blázquez G, López-Aumatell R, Martínez-Membrives E, Díaz-Morán S, Tobeña A, Fernández-Teruel A, Stridh P, Diez M, Olsson T, Johannesson M, Baud A, Econs MJ, Foroud T. High-resolution genome screen for bone mineral density in heterogeneous stock rat. J Bone Miner Res 2014; 29:1619-26. [PMID: 24643965 PMCID: PMC4074219 DOI: 10.1002/jbmr.2195] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2013] [Revised: 01/25/2014] [Accepted: 02/03/2014] [Indexed: 01/09/2023]
Abstract
We previously demonstrated that skeletal mass, structure, and biomechanical properties vary considerably in heterogeneous stock (HS) rat strains. In addition, we observed strong heritability for several of these skeletal phenotypes in the HS rat model, suggesting that it represents a unique genetic resource for dissecting the complex genetics underlying bone fragility. The purpose of this study was to identify and localize genes associated with bone mineral density in HS rats. We measured bone phenotypes from 1524 adult male and female HS rats between 17 and 20 weeks of age. Phenotypes included dual-energy X-ray absorptiometry (DXA) measurements for bone mineral content and areal bone mineral density (aBMD) for femur and lumbar spine (L3-L5), and volumetric BMD measurements by CT for the midshaft and distal femur, femur neck, and fifth lumbar vertebra (L5). A total of 70,000 polymorphic single-nucleotide polymorphisms (SNPs) distributed throughout the genome were selected from genotypes obtained from the Affymetrix rat custom SNPs array for the HS rat population. These SNPs spanned the HS rat genome with a mean linkage disequilibrium coefficient between neighboring SNPs of 0.95. Haplotypes were estimated across the entire genome for each rat using a multipoint haplotype reconstruction method, which calculates the probability of descent for each genotyped locus from each of the eight founder HS strains. The haplotypes were tested for association with each bone density phenotype via a mixed model with covariate adjustment. We identified quantitative trait loci (QTLs) for BMD phenotypes on chromosomes 2, 9, 10, and 13 meeting a conservative genomewide empiric significance threshold (false discovery rate [FDR] = 5%; p < 3 × 10(-6)). Importantly, most QTLs were localized to very small genomic regions (1-3 megabases [Mb]), allowing us to identify a narrow set of potential candidate genes including both novel genes and genes previously shown to have roles in skeletal development and homeostasis.
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Affiliation(s)
- Imranul Alam
- Medicine, Indiana University School of Medicine, IN, USA
| | - Daniel L. Koller
- Medical and Molecular Genetics, Indiana University School of Medicine, IN, USA
| | - Toni Cañete
- Department of Psychiatry and Forensic Medicine, Institute of Neurosciences, School of Medicine, Universitat Autònoma deBarcelona, 08193-Bellaterra, Barcelona, Spain
| | - Gloria Blázquez
- Department of Psychiatry and Forensic Medicine, Institute of Neurosciences, School of Medicine, Universitat Autònoma deBarcelona, 08193-Bellaterra, Barcelona, Spain
| | | | - Esther Martínez-Membrives
- Department of Psychiatry and Forensic Medicine, Institute of Neurosciences, School of Medicine, Universitat Autònoma deBarcelona, 08193-Bellaterra, Barcelona, Spain
| | - Sira Díaz-Morán
- Department of Psychiatry and Forensic Medicine, Institute of Neurosciences, School of Medicine, Universitat Autònoma deBarcelona, 08193-Bellaterra, Barcelona, Spain
| | - Adolf Tobeña
- Department of Psychiatry and Forensic Medicine, Institute of Neurosciences, School of Medicine, Universitat Autònoma deBarcelona, 08193-Bellaterra, Barcelona, Spain
| | - Alberto Fernández-Teruel
- Department of Psychiatry and Forensic Medicine, Institute of Neurosciences, School of Medicine, Universitat Autònoma deBarcelona, 08193-Bellaterra, Barcelona, Spain
| | - Pernilla Stridh
- Clinical Neuroscience, Center for Molecular Medicine, Neuroimmunolgy Unit, Karolinska Institutet, S171 76 Stockholm, Sweden
| | - Margarita Diez
- Clinical Neuroscience, Center for Molecular Medicine, Neuroimmunolgy Unit, Karolinska Institutet, S171 76 Stockholm, Sweden
| | - Tomas Olsson
- Clinical Neuroscience, Center for Molecular Medicine, Neuroimmunolgy Unit, Karolinska Institutet, S171 76 Stockholm, Sweden
| | - Martina Johannesson
- Clinical Neuroscience, Center for Molecular Medicine, Neuroimmunolgy Unit, Karolinska Institutet, S171 76 Stockholm, Sweden
| | - Amelie Baud
- Wellcome Trust Center for Human Genetics, Oxford OX3 7BN, United Kingdom
| | - Michael J. Econs
- Medicine, Indiana University School of Medicine, IN, USA
- Medical and Molecular Genetics, Indiana University School of Medicine, IN, USA
| | - Tatiana Foroud
- Medicine, Indiana University School of Medicine, IN, USA
- Medical and Molecular Genetics, Indiana University School of Medicine, IN, USA
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14
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Hernandez-de Sosa N, Athanasiadis G, Malouf J, Laiz A, Marin A, Herrera S, Farrerons J, Soria JM, Casademont J. Heritability of bone mineral density in a multivariate family-based study. Calcif Tissue Int 2014; 94:590-6. [PMID: 24687525 DOI: 10.1007/s00223-014-9852-9] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2013] [Accepted: 03/14/2014] [Indexed: 01/01/2023]
Abstract
There is evidence for a genetic contribution to bone mineral density (BMD×). Different loci affecting BMD have been identified by diverse linkage and genome-wide association studies. We studied the heritability of and the correlations among six densitometric phenotypes and four bone mass/fracture phenotypes. For this purpose, we used a family-based study of the genetics of osteoporosis, the Genetic Analysis of Osteoporosis Project. The primary aim of our study was to examine the roles of genetic and environmental factors in determining osteoporosis-related phenotypes. The project consisted of 11 extended families from Spain. All of them were selected through a proband with osteoporosis. BMD was measured using dual-energy X-ray absorptiometry. The proportion of variance of BMD attributable to significant covariates ranged from 25% (for femoral neck BMD) to 48% (for whole-body total BMD). The vast majority of the densitometric phenotypes had highly significant heritability, ranging from 0.252 (whole-body total BMD) to 0.537 (trochanteric BMD) after correcting for covariate effects. All of the densitometric phenotypes showed high and significant genetic correlations (from -0.772 to -1.000) with a low bone mass/osteopenia condition (Affected 3). Our findings provide additional evidence on the heritability of BMD and a strong genetic correlation between BMD and bone mass/fracture phenotypes in a Spanish population. Our results emphasize the importance of detecting genetic risk factors and the benefit of early diagnosis and especially therapeutic and preventive strategies.
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Affiliation(s)
- Nerea Hernandez-de Sosa
- Department of Internal Medicine, Hospital de la Santa Creu i Sant Pau, Autonomous University of Barcelona, Barcelona, Spain,
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15
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Li N, Wang X, Jiang Y, Wang W, Huang W, Zheng X, Wang Q, Ning Z, Pei Y, Li C, Nie M, Li M, Wang O, Xing X, He S, Yu W, Lin Q, Xu L, Xia W. Association of GALNT3 gene polymorphisms with bone mineral density in Chinese postmenopausal women: the Peking Vertebral Fracture study. Menopause 2014; 21:515-21. [PMID: 24045674 DOI: 10.1097/gme.0b013e3182a34981] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
OBJECTIVE GALNT3 gene encodes the glycosyltransferase polypeptide N-acetylgalactosaminyltransferase-3 (ppGalNacT3), which initiates the O-glycosylation of fibroblast growth factor 23 (FGF23) that is important in phosphorous regulation. Inactivating mutations of the GALNT3 gene can cause familial tumoral calcinosis. The aim of present study is to investigate the association of GALNT3 polymorphisms with osteoporosis phenotypes in Chinese postmenopausal women. METHODS A community-based population of 1,353 postmenopausal women was randomly selected in Beijing. Bone mineral densities (BMDs) of the lumbar spine, femoral neck (FN), and total hip (TH) were measured by dual-energy x-ray absorptiometry. Vertebral fracture phenotypes were ascertained by vertebral x-ray reading. Osteoporotic fracture phenotypes were obtained from questionnaires. Single nucleotide polymorphisms of GALNT3 were determined by TaqMan allelic discrimination assay. Differences in BMD, serum phosphorus, or serum calcium across diverse genotypes or haplotypes were analyzed by general linear model analysis of covariance. Linear regression or logistic regression was used for association analyses of different osteoporosis phenotypes, phosphorous, or calcium. Partial correlation was used to investigate the relationship between phosphorus or calcium and BMD. RESULTS We found that polymorphisms of rs1863196, rs6710518, and rs13429321 were significantly associated with FN BMD (P values of 0.002, 0.003, and 0.002, respectively). Polymorphisms of rs1863196, rs6710518, rs4667492, rs13429321, and rs6721582 were associated with TH BMD (P values of 0.002, 0.004, 0.037, 0.005, and 0.014, respectively). Haplotype-1 additive and dominant models were found to be associated with TH BMD (P values of 0.035 and 0.024, respectively). Haplotype-2 dominant model was found to be associated with FN BMD (P = 0.003) and TH BMD (P = 0.001). CONCLUSIONS GALNT3 may play a role in genetic susceptibility to osteoporosis among Chinese postmenopausal women. Efforts should be exerted to replicate our findings in other similar and ethnically diverse populations.
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Affiliation(s)
- Nan Li
- From the 1Department of Geriatric Endocrinology, Chinese PLA General Hospital, Beijing, China; 2Department of Endocrinology, Key Laboratory of Endocrinology, Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Science, Beijing, China; 3Department of Cadre Unit, General Hospital of the Second Artillery Force, Beijing, China; 4Department of Endocrinology, Peking University Shougang Hospital, Beijing, China; 5Department of Endocrinology, Beijing Haidian Hospital, Beijing, China; 6Department of Endocrinology, China Rehabilitation Research Center, Beijing, China; 7Department of Endocrinology, Beijing Liangxiang Hospital, Beijing, China; 8Department of Endocrinology, Beijing Chaoyang Hospital, Beijing, China; and Departments of 9Radiology and 10Gynecology and Obstetrics, Peking Union Medical College Hospital, Chinese Academy of Medical Science, Beijing, China
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16
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Mohan S, Hu Y, Edderkaoui B. Identification of gender-specific candidate genes that influence bone microarchitecture in chromosome 1. Calcif Tissue Int 2013; 92:362-71. [PMID: 23263656 PMCID: PMC4955284 DOI: 10.1007/s00223-012-9687-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/21/2012] [Accepted: 11/30/2012] [Indexed: 10/27/2022]
Abstract
Studies on the identification of the genetic basis for sexual dimorphism in peak bone mass are obviously important for providing novel therapeutic approaches to prevent or treat metabolic bone diseases. Our goal in this study was to identify the bone microstructure that could lead to differences in volumetric bone mineral density (vBMD) and new candidate genes that regulate the gender effect on bone. We used a congenic line of mice that carry the BMD1-4 locus from CAST/EiJ (CAST) mice in a C57BL/6J (B6) background and show greater vBMD in female, but not male, congenics compared to age- and gender-matched B6 mice. To assess the vBMD variations between the two lines of mice, we performed μCT measurements and found no difference in cortical bone volume by tissue volume (BV/TV) between congenics and B6 mice. However, trabecular BV/TV was significantly greater in female, but not male, congenics compared to corresponding B6 mice, which was due to increased trabecular thickness but not reduced trabecular separation, suggesting that bone formation, but not bone resorption, is responsible for the trabecular bone phenotype observed in the female, but not male, congenics. To identify the gender candidate genes, we determined the polymorphisms between B6 and CAST within the BMD1-4 locus and performed gene expression profiling. We identified EF-hand calcium binding domain (Efcab2), consortin, connexin sorting protein (Cnst), and presenilin 2 (Psen2) as potential candidate genes that regulate bone mass by influencing trabecular thickness in a gender-specific manner.
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Affiliation(s)
- Subburaman Mohan
- Jerry L Pettis Memorial VA Medical Center, Musculoskeletal Disease Center, Loma Linda, CA, USA
- Department of Medicine, Loma Linda University, Loma Linda, CA, USA
- Department of Biochemistry, Loma Linda University, Loma Linda, CA, USA
- Department of Physiology, Loma Linda University, Loma Linda, CA, USA
| | - Yan Hu
- Jerry L Pettis Memorial VA Medical Center, Musculoskeletal Disease Center, Loma Linda, CA, USA
| | - Bouchra Edderkaoui
- Jerry L Pettis Memorial VA Medical Center, Musculoskeletal Disease Center, Loma Linda, CA, USA
- Department of Medicine, Loma Linda University, Loma Linda, CA, USA
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Nagy H, Feyt C, Chapurlat R, Szulc P. Familial resemblance of bone turnover rate in men aged 40 and over-the MINOS study. J Bone Miner Metab 2013. [PMID: 23179229 DOI: 10.1007/s00774-012-0408-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Familial resemblance of bone mineral density (BMD) is well known in both sexes. Fewer data concern the familial resemblance of bone turnover markers (BTMs) and bone size in men. Our aim was to assess the correlation of BMD, bone size, BTM levels and hormones regulating bone turnover in 50 pairs of brothers aged ≥ 40 and 50 pairs of unrelated men matched for age, weight and height. BMD was measured at the lumbar spine, hip, forearm and whole body. We measured serum osteocalcin (OC), bone-specific alkaline phosphatase (bone ALP), N-terminal propeptide of type I procollagen (PINP) and C-terminal telopeptide of type I collagen (CTX-I) as well as urinary free and total deoxypyridinoline (DPD) and CTX-I. After adjustment for age, weight, bioavailable 17β-estradiol, and parathyroid hormone, all the BTMs (except bone ALP) were significantly correlated in the brothers (ICC = 0.36-0.64). Most of these correlations were significantly stronger than in the unrelated men. Bone size correlated significantly between the brothers (ICC = 0.55-0.65). These correlations were significantly stronger than in the unrelated men. BMD correlated between the brothers at most of the skeletal sites and, for some of them, more strongly than in the unrelated men. Serum levels of LDL-cholesterol and triglycerides were significantly correlated in the brothers, but not more strongly than in the unrelated men. BTM levels correlated independently in the brothers aged ≥ 40, when their shared environment was limited. These data suggest a substantial hereditary determinism of the BTM levels in men.
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Affiliation(s)
- Hoda Nagy
- INSERM UMR 1033, Hôpital Edouard Herriot, Pavillon F, Université de Lyon, Place d'Arsonval, 69437, Lyon, France
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Medina-Gomez C, Kemp JP, Estrada K, Eriksson J, Liu J, Reppe S, Evans DM, Heppe DHM, Vandenput L, Herrera L, Ring SM, Kruithof CJ, Timpson NJ, Zillikens MC, Olstad OK, Zheng HF, Richards JB, St. Pourcain B, Hofman A, Jaddoe VWV, Smith GD, Lorentzon M, Gautvik KM, Uitterlinden AG, Brommage R, Ohlsson C, Tobias JH, Rivadeneira F. Meta-analysis of genome-wide scans for total body BMD in children and adults reveals allelic heterogeneity and age-specific effects at the WNT16 locus. PLoS Genet 2012; 8:e1002718. [PMID: 22792070 PMCID: PMC3390371 DOI: 10.1371/journal.pgen.1002718] [Citation(s) in RCA: 129] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2011] [Accepted: 04/04/2012] [Indexed: 12/31/2022] Open
Abstract
To identify genetic loci influencing bone accrual, we performed a genome-wide association scan for total-body bone mineral density (TB-BMD) variation in 2,660 children of different ethnicities. We discovered variants in 7q31.31 associated with BMD measurements, with the lowest P = 4.1×10−11 observed for rs917727 with minor allele frequency of 0.37. We sought replication for all SNPs located ±500 kb from rs917727 in 11,052 additional individuals from five independent studies including children and adults, together with de novo genotyping of rs3801387 (in perfect linkage disequilibrium (LD) with rs917727) in 1,014 mothers of children from the discovery cohort. The top signal mapping in the surroundings of WNT16 was replicated across studies with a meta-analysis P = 2.6×10−31 and an effect size explaining between 0.6%–1.8% of TB-BMD variance. Conditional analyses on this signal revealed a secondary signal for total body BMD (P = 1.42×10−10) for rs4609139 and mapping to C7orf58. We also examined the genomic region for association with skull BMD to test if the associations were independent of skeletal loading. We identified two signals influencing skull BMD variation, including rs917727 (P = 1.9×10−16) and rs7801723 (P = 8.9×10−28), also mapping to C7orf58 (r2 = 0.50 with rs4609139). Wnt16 knockout (KO) mice with reduced total body BMD and gene expression profiles in human bone biopsies support a role of C7orf58 and WNT16 on the BMD phenotypes observed at the human population level. In summary, we detected two independent signals influencing total body and skull BMD variation in children and adults, thus demonstrating the presence of allelic heterogeneity at the WNT16 locus. One of the skull BMD signals mapping to C7orf58 is mostly driven by children, suggesting temporal determination on peak bone mass acquisition. Our life-course approach postulates that these genetic effects influencing peak bone mass accrual may impact the risk of osteoporosis later in life. Genetic investigations on bone mineral density (BMD) variation in children allow the identification of factors determining peak bone mass and their influence on developing osteoporosis later in life. We ran a genome-wide association study (GWAS) for total body BMD based on 2,660 children of different ethnic backgrounds, followed by replication in an additional 12,066 individuals comprising children, young adults, and elderly populations. Our GWAS meta-analysis identified two independent signals in the 7q31.31 locus, arising from SNPs in the vicinity of WNT16, FAM3C, and C7orf58. These variants were also associated with skull BMD, a skeletal trait with much less environmental influence for which one of the signals displayed age-specific effects. Integration of functional studies in a Wnt16 knockout mouse model and gene expression profiles in human bone tissue provided additional evidence that WNT16 and C7orf58 underlie the described associations. All together our findings demonstrate the relevance of these factors for bone biology, the attainment of peak bone mass, and their likely impact on bone fragility later in life.
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Affiliation(s)
- Carolina Medina-Gomez
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
- The Generation R Study Group, Erasmus University Medical Center, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
- Netherlands Genomics Initiative (NGI)–sponsored Netherlands Consortium for Healthy Aging (NCHA), Rotterdam, The Netherlands
| | - John P. Kemp
- MRC CAiTE Centre, School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
- Avon Longitudinal Study of Parents and Children (ALSPAC), School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
| | - Karol Estrada
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
- Netherlands Genomics Initiative (NGI)–sponsored Netherlands Consortium for Healthy Aging (NCHA), Rotterdam, The Netherlands
| | - Joel Eriksson
- Center for Bone and Arthritis Research, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Jeff Liu
- Lexicon Pharmaceuticals, The Woodlands, Texas, United States of America
| | - Sjur Reppe
- Department of Medical Biochemistry, Oslo University Hospital, Ullevaal, Oslo, Norway
| | - David M. Evans
- MRC CAiTE Centre, School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
- Avon Longitudinal Study of Parents and Children (ALSPAC), School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
| | - Denise H. M. Heppe
- The Generation R Study Group, Erasmus University Medical Center, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Liesbeth Vandenput
- Center for Bone and Arthritis Research, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Lizbeth Herrera
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Susan M. Ring
- Avon Longitudinal Study of Parents and Children (ALSPAC), School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
| | - Claudia J. Kruithof
- The Generation R Study Group, Erasmus University Medical Center, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Nicholas J. Timpson
- MRC CAiTE Centre, School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
- Avon Longitudinal Study of Parents and Children (ALSPAC), School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
| | - M. Carola Zillikens
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
- Netherlands Genomics Initiative (NGI)–sponsored Netherlands Consortium for Healthy Aging (NCHA), Rotterdam, The Netherlands
| | - Ole K. Olstad
- Department of Medical Biochemistry, Oslo University Hospital, Ullevaal, Oslo, Norway
| | - Hou-Feng Zheng
- Department of Medicine, Human Genetics, McGill University, Montreal, Quebec, Canada
- Department of Epidemiology and Biostatistics, Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada
| | - J. Brent Richards
- Department of Medicine, Human Genetics, McGill University, Montreal, Quebec, Canada
- Department of Epidemiology and Biostatistics, Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada
- Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom
| | - Beate St. Pourcain
- MRC CAiTE Centre, School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
| | - Albert Hofman
- The Generation R Study Group, Erasmus University Medical Center, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
- Netherlands Genomics Initiative (NGI)–sponsored Netherlands Consortium for Healthy Aging (NCHA), Rotterdam, The Netherlands
| | - Vincent W. V. Jaddoe
- The Generation R Study Group, Erasmus University Medical Center, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - George Davey Smith
- MRC CAiTE Centre, School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
- Avon Longitudinal Study of Parents and Children (ALSPAC), School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
| | - Mattias Lorentzon
- Center for Bone and Arthritis Research, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Kaare M. Gautvik
- Department of Medical Biochemistry, Oslo University Hospital, Ullevaal, Oslo, Norway
- Department of Medical Biochemistry, Oslo Deacon Hospital, Oslo, Norway
| | - André G. Uitterlinden
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
- The Generation R Study Group, Erasmus University Medical Center, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
- Netherlands Genomics Initiative (NGI)–sponsored Netherlands Consortium for Healthy Aging (NCHA), Rotterdam, The Netherlands
| | - Robert Brommage
- Lexicon Pharmaceuticals, The Woodlands, Texas, United States of America
| | - Claes Ohlsson
- Center for Bone and Arthritis Research, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Jonathan H. Tobias
- School of Clinical Sciences, University of Bristol, Bristol, United Kingdom
| | - Fernando Rivadeneira
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
- The Generation R Study Group, Erasmus University Medical Center, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
- Netherlands Genomics Initiative (NGI)–sponsored Netherlands Consortium for Healthy Aging (NCHA), Rotterdam, The Netherlands
- * E-mail:
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19
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Yue H, He JW, Zhang H, Wang C, Hu WW, Gu JM, Ke YH, Fu WZ, Hu YQ, Li M, Liu YJ, Wu SH, Zhang ZL. Contribution of myostatin gene polymorphisms to normal variation in lean mass, fat mass and peak BMD in Chinese male offspring. Acta Pharmacol Sin 2012; 33:660-7. [PMID: 22426697 DOI: 10.1038/aps.2012.12] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023] Open
Abstract
AIM Myostatin gene is a member of the transforming growth factor-β (TGF-β) family that negatively regulates skeletal muscle growth. Genetic polymorphisms in Myostatin were found to be associated with the peak bone mineral density (BMD) in Chinese women. The purpose of this study was to investigate whether myostatin played a role in the normal variation in peak BMD, lean mass (LM), and fat mass (FM) of Chinese men. METHODS Four hundred male-offspring nuclear families of Chinese Han ethnic group were recruited. Anthropometric measurements, including the peak BMD, body LM and FM were measured using dual-energy X-ray absorptiometry (DXA). The single nucleotide polymorphisms (SNPs) studied were tag-SNPs selected by sequencing. Both rs2293284 and +2278GA were genotyped using TaqMan assay, and rs3791783 was genotyped with PCR-restriction fragment length polymorphism (RFLP) analysis. The associations of the SNPs with anthropometric variations were analyzed using the quantitative transmission disequilibrium test (QTDT). RESULTS Using QTDT to detect within-family associations, neither single SNP nor haplotype was found to be associated with peak BMD at any bone site. However, rs3791783 was found to be significantly associated with fat mass of the trunk (P<0.001). Moreover, for within-family associations, haplotypes AGG, AAA, and TGG were found to be significantly associated with the trunk fat mass (all P<0.001). CONCLUSION Our results suggest that genetic variation within myostatin may play a role in regulating the variation in fat mass in Chinese males. Additionally, the myostatin gene may be a candidate that determines body fat mass in Chinese men.
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20
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Park JH, Song YM, Sung J, Lee K, Kim YS, Park YS. Genetic influence on bone mineral density in Korean twins and families: the healthy twin study. Osteoporos Int 2012; 23:1343-9. [PMID: 21656262 DOI: 10.1007/s00198-011-1685-z] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2010] [Accepted: 05/20/2011] [Indexed: 12/01/2022]
Abstract
UNLABELLED Bone mineral density (BMD), a representative marker of osteoporosis risk, is found to be highly heritable in this Korean study, which is very consistent with the findings in Western populations. This finding strongly supports that genetic factors are significant determinants of osteoporosis risk along with individual biological and behavioral factors. INTRODUCTION Although genetic factors are known to contribute significantly to variations in BMD in Western populations, such an association has not been fully evaluated in an Asian population. This study was conducted to determine the role of genetic factors on BMD in Korean population. METHODS The study participants were 2,728 men and women consisting of 497 monozygotic (MZ) twin pairs, 119 dizygotic (DZ) twin pairs, and 1,496 first-degree relatives from the Healthy Twin Study. BMD was measured using dual-energy X-ray absorptiometry. Quantitative genetic analysis based on a variance decomposition model was performed. RESULTS Age and the measured covariates accounted for 17~61% of the variation in BMD, depending on the sites of measurement. After accounting for the covariate effects, the heritability of BMD at the whole body, thoracic and lumbar spine, whole ribs, whole pelvis, whole arms, and whole legs were 0.76, 0.72, 0.73, 0.71, 0.51, and 0.75, respectively. The pair-wise correlation of BMD was the highest within MZ twin pairs, followed by DZ twin pairs, sibling pairs, and parents-child pairs. Cross-trait correlation analysis revealed a positive genetic correlation between BMDs at different sites, ranging from 0.80 (arm and leg BMD) to 0.50 (pelvis and arm BMD). CONCLUSIONS The high heritability of BMD in this Korean population similar to those found in Western populations and the significant common genetic basis between BMDs at different sites strongly supports a significant role of genetic determinants on the risk of osteoporosis.
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Affiliation(s)
- J-H Park
- Department of Family Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
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21
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Zhao J, Xia W, Nie M, Zheng X, Wang Q, Wang X, Wang W, Ning Z, Huang W, Jiang Y, Li M, Wang O, Xing X, Sun Y, Luo L, He S, Yu W, Lin Q, Pei Y, Zhang F, Han Y, Tong Y, Che Y, Shen R, Hu Y, Zhou X, Chen Q, Xu L. A haplotype of MATN3 is associated with vertebral fracture in Chinese postmenopausal women: Peking Vertebral Fracture (PK-VF) study. Bone 2012; 50:917-24. [PMID: 22270056 PMCID: PMC6122846 DOI: 10.1016/j.bone.2012.01.003] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2011] [Revised: 10/31/2011] [Accepted: 01/07/2012] [Indexed: 12/22/2022]
Abstract
The Matrilin3 gene (MATN3) encodes an extracellular matrix protein, which modulates chondrocyte differentiation. The aim of this study was to test for association of MATN3 polymorphisms with bone mineral density (BMD), fracture, vertebral fracture, bone turnover or 25-hydroxyvitamin D [25(OH)D] in postmenopausal women. A community-based population of 1488 postmenopausal women was randomly selected in Beijing. The history of fracture and vertebral fracture was obtained via questionnaire and vertebral X-ray respectively. BMD of lumbar spine (2-4), femoral neck and total hip were measured by dual energy X-ray absorptiometry. Serum N-terminal procollagen of type 1 collagen (P1NP), β-isomerized type I collagen C-telopeptide breakdown products (β-CTX) and 25(OH)D were quantified. Binary logistic regression revealed that Haplotype-4 was significantly associated with vertebral fracture risk in both additive model (p=0.023, OR=1.521) and dominant model (p=0.028, OR=1.623). The significance remained after 10,000 permutation tests to correct multiple testing (p=0.042). Re-selected age matched vertebral fracture case-control groups revealed similar associations in additive model (p=0.014, OR=1.927, 95%CI=1.142-3.253) and in dominant model (p=0.011, OR=2.231, 95%CI=1.200-4.148). However, no significant association was found between MATN3 polymorphisms and serum β-CTX, P1NP, 25(OH)D levels, or BMD. In linear regression, Haplotype-2 approached marginal significance in association with femoral neck BMD T-score (p=0.050), but this would account for only 0.2% of BMD variation in our sample. This study suggests that Haplotype-4 of MATN3 is associated with vertebral fracture risk independent of BMD in Chinese postmenopausal women. Efforts should be made to replicate our finding in other, similar and ethnically diverse, populations.
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Affiliation(s)
- Jing Zhao
- Department of Endocrinology, Key Laboratory of Endocrinology, Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Science, Beijing 100730, China
| | - Weibo Xia
- Department of Endocrinology, Key Laboratory of Endocrinology, Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Science, Beijing 100730, China
- Corresponding author. Fax: +86 10 6529 5358., (W. Xia)
| | - Min Nie
- Department of Endocrinology, Key Laboratory of Endocrinology, Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Science, Beijing 100730, China
| | - Xin Zheng
- Department of Endocrinology, China Rehabilitation Research Center, Beijing 100068, China
| | - Qiuping Wang
- Department of Endocrinology, Beijing Liangxiang Hospital, Beijing 102401, China
| | - Xiran Wang
- Department of Cadre Unit, General Hospital of the Second Artillery Force, Beijing 100088, China
| | - Wenbo Wang
- Department Endocrinology, Peking University Shougang Hospital, Beijing 100144, China
| | - Zhiwei Ning
- Department of Endocrinology, Beijing Chaoyang Hospital, Capital University of Medical Science, Beijing 100020, China
| | - Wei Huang
- Department of Endocrinology, Beijing Haidian Hospital, Beijing 100080, China
| | - Yan Jiang
- Department of Endocrinology, Key Laboratory of Endocrinology, Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Science, Beijing 100730, China
| | - Mei Li
- Department of Endocrinology, Key Laboratory of Endocrinology, Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Science, Beijing 100730, China
| | - Ou Wang
- Department of Endocrinology, Key Laboratory of Endocrinology, Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Science, Beijing 100730, China
| | - Xiaoping Xing
- Department of Endocrinology, Key Laboratory of Endocrinology, Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Science, Beijing 100730, China
| | - Yue Sun
- Department of Endocrinology, Key Laboratory of Endocrinology, Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Science, Beijing 100730, China
| | - Lianmei Luo
- Department of Endocrinology, Key Laboratory of Endocrinology, Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Science, Beijing 100730, China
| | - Shuli He
- Department of Endocrinology, Key Laboratory of Endocrinology, Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Science, Beijing 100730, China
| | - Wei Yu
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Science, Beijing 100730, China
| | - Qiang Lin
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Science, Beijing 100730, China
| | - Yu Pei
- Department of Geriatric Endocrinology, Chinese PLA General Hospital, Beijing 100853, China
| | - Fan Zhang
- Department of Endocrinology, Beijing Liangxiang Hospital, Beijing 102401, China
| | - Youxia Han
- Department of Endocrinology, Beijing Haidian Hospital, Beijing 100080, China
| | - Yanmin Tong
- Department of Endocrinology, China Rehabilitation Research Center, Beijing 100068, China
| | - Ying Che
- Department Endocrinology, Peking University Shougang Hospital, Beijing 100144, China
| | - Ruixin Shen
- Department of Orthopedics, Beijing Chaoyang Hospital, Capital University of Medical Science, Beijing 100020, China
| | - Yingying Hu
- Department of Endocrinology, Key Laboratory of Endocrinology, Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Science, Beijing 100730, China
| | - Xueying Zhou
- Department of Endocrinology, Key Laboratory of Endocrinology, Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Science, Beijing 100730, China
| | - Qian Chen
- Department of Orthopaedics, Alpert Medical School of Brown University/Rhode Island Hospital, USA
| | - Ling Xu
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Science, Beijing 100730, China
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22
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He JW, Yue H, Hu WW, Hu YQ, Zhang ZL. Contribution of the sclerostin domain-containing protein 1 (SOSTDC1) gene to normal variation of peak bone mineral density in Chinese women and men. J Bone Miner Metab 2011; 29:571-81. [PMID: 21221677 DOI: 10.1007/s00774-010-0253-5] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2010] [Accepted: 11/21/2010] [Indexed: 02/05/2023]
Abstract
A genome-wide linkage analysis in Chinese families revealed a significant quantitative trait loci on chromosome 7p21.1 for femoral neck bone mineral density (BMD) (LOD = 3.68), and a potential candidate gene, sclerostin domain-containing protein 1 (SOSTDC1), is located in this region. SOSTDC1 belongs to a class of bone morphogenetic protein (BMP) antagonists that bind BMPs and regulate their signaling. We therefore genotyped 6 tag single nucleotide polymorphisms (tag-SNPs) in SOSTDC1 gene using allele-specific PCR method and investigated the association between SOSTDC1 gene polymorphisms and peak BMD variation in 401 Chinese female-offspring nuclear families (including 1260 subjects) and 400 Chinese male-offspring nuclear families (including 1215 subjects), respectively. Using both family-based (quantitative transmission disequilibrium test) and population-based (ANOVA) methods of analyses, BMD values were adjusted for age, height and weight. In female-offspring nuclear families, we found a significant within family association between rs16878759 and the lumbar spine peak BMD (P = 0.003) and rs16878759 accounted for 1.4% of the lumbar spine peak BMD variation. Moreover, haplotype CCC (containing rs12699800, rs16878759, and rs17619769) had a significant within family association with the lumbar spine peak BMD (P = 0.001) and accounted for 1.9% of the peak BMD variation at this bone site. However, in the male-offspring nuclear families, we failed to detect any significant association between any SNP or haplotype and peak BMD at any bone site. In conclusion, our results indicate for the first time that the genetic polymorphisms in SOSTDC1 have an effect on attainment and maintenance of peak bone mass in Chinese women.
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Affiliation(s)
- Jin-Wei He
- Department of Osteoporosis and Bone Diseases, Shanghai Jiao Tong University Affiliated Sixth People's Hospital Shanghai, Shanghai, People's Republic of China
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23
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Duncan EL, Danoy P, Kemp JP, Leo PJ, McCloskey E, Nicholson GC, Eastell R, Prince RL, Eisman JA, Jones G, Sambrook PN, Reid IR, Dennison EM, Wark J, Richards JB, Uitterlinden AG, Spector TD, Esapa C, Cox RD, Brown SDM, Thakker RV, Addison KA, Bradbury LA, Center JR, Cooper C, Cremin C, Estrada K, Felsenberg D, Glüer CC, Hadler J, Henry MJ, Hofman A, Kotowicz MA, Makovey J, Nguyen SC, Nguyen TV, Pasco JA, Pryce K, Reid DM, Rivadeneira F, Roux C, Stefansson K, Styrkarsdottir U, Thorleifsson G, Tichawangana R, Evans DM, Brown MA. Genome-wide association study using extreme truncate selection identifies novel genes affecting bone mineral density and fracture risk. PLoS Genet 2011; 7:e1001372. [PMID: 21533022 PMCID: PMC3080863 DOI: 10.1371/journal.pgen.1001372] [Citation(s) in RCA: 187] [Impact Index Per Article: 14.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2010] [Accepted: 03/13/2011] [Indexed: 12/22/2022] Open
Abstract
Osteoporotic fracture is a major cause of morbidity and mortality worldwide. Low bone mineral density (BMD) is a major predisposing factor to fracture and is known to be highly heritable. Site-, gender-, and age-specific genetic effects on BMD are thought to be significant, but have largely not been considered in the design of genome-wide association studies (GWAS) of BMD to date. We report here a GWAS using a novel study design focusing on women of a specific age (postmenopausal women, age 55-85 years), with either extreme high or low hip BMD (age- and gender-adjusted BMD z-scores of +1.5 to +4.0, n = 1055, or -4.0 to -1.5, n = 900), with replication in cohorts of women drawn from the general population (n = 20,898). The study replicates 21 of 26 known BMD-associated genes. Additionally, we report suggestive association of a further six new genetic associations in or around the genes CLCN7, GALNT3, IBSP, LTBP3, RSPO3, and SOX4, with replication in two independent datasets. A novel mouse model with a loss-of-function mutation in GALNT3 is also reported, which has high bone mass, supporting the involvement of this gene in BMD determination. In addition to identifying further genes associated with BMD, this study confirms the efficiency of extreme-truncate selection designs for quantitative trait association studies.
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Affiliation(s)
- Emma L. Duncan
- University of Queensland Diamantina Institute, University of Queensland,
Princess Alexandra Hospital, Brisbane, Australia
| | - Patrick Danoy
- University of Queensland Diamantina Institute, University of Queensland,
Princess Alexandra Hospital, Brisbane, Australia
| | - John P. Kemp
- Medical Research Council Centre for Causal Analyses in Translational
Epidemiology, University of Bristol, Bristol, United Kingdom
| | - Paul J. Leo
- University of Queensland Diamantina Institute, University of Queensland,
Princess Alexandra Hospital, Brisbane, Australia
| | - Eugene McCloskey
- Academic Unit of Bone Metabolism, Metabolic Bone Centre, University of
Sheffield, Sheffield, United Kingdom
| | - Geoffrey C. Nicholson
- The University of Melbourne, Department of Clinical and Biomedical
Sciences: Barwon Health, Geelong, Australia
| | - Richard Eastell
- Academic Unit of Bone Metabolism, Metabolic Bone Centre, University of
Sheffield, Sheffield, United Kingdom
| | - Richard L. Prince
- School of Medicine and Pharmacology, University of Western Australia,
Perth, Australia
- Department of Endocrinology and Diabetes, Sir Charles Gairdner Hospital,
Perth, Australia
| | - John A. Eisman
- Garvan Institute of Medical Research, Sydney, Australia
- St. Vincent's Clinical School, St. Vincent's Hospital Campus,
University of New South Wales, Sydney, Australia
| | - Graeme Jones
- Menzies Research Institute, University of Tasmania, Hobart,
Australia
| | - Philip N. Sambrook
- Kolling Institute, Royal North Shore Hospital, University of Sydney,
Sydney, Australia
| | - Ian R. Reid
- Department of Medicine, University of Auckland, Auckland, New
Zealand
| | - Elaine M. Dennison
- Medical Research Council Lifecourse Epidemiology Unit, Southampton,
United Kingdom
| | - John Wark
- University of Melbourne Department of Medicine and Bone and Mineral
Service, Royal Melbourne Hospital, Melbourne, Australia
| | - J. Brent Richards
- Departments of Medicine, Human Genetics, Epidemiology and Biostatistics,
Lady Davis Institute, Jewish General Hospital, McGill University, Montreal,
Canada
- Department of Twin Research and Genetic Epidemiology, King's College
London, London, United Kingdom
| | - Andre G. Uitterlinden
- Department of Internal Medicine and Epidemiology, Erasmus Medical Center,
Rotterdam, The Netherlands
| | - Tim D. Spector
- Department of Twin Research and Genetic Epidemiology, King's College
London, London, United Kingdom
| | - Chris Esapa
- Medical Research Council Mammalian Genetics Unit, Harwell Science and
Innovation Campus, Harwell, Oxfordshire, United Kingdom
- Academic Endocrine Unit, Nuffield Department of Clinical Medicine, Oxford
Centre for Diabetes, Endocrinology, and Metabolism, University of Oxford,
Churchill Hospital, Headington, Oxford, United Kingdom
| | - Roger D. Cox
- Medical Research Council Mammalian Genetics Unit, Harwell Science and
Innovation Campus, Harwell, Oxfordshire, United Kingdom
| | - Steve D. M. Brown
- Medical Research Council Mammalian Genetics Unit, Harwell Science and
Innovation Campus, Harwell, Oxfordshire, United Kingdom
| | - Rajesh V. Thakker
- Academic Endocrine Unit, Nuffield Department of Clinical Medicine, Oxford
Centre for Diabetes, Endocrinology, and Metabolism, University of Oxford,
Churchill Hospital, Headington, Oxford, United Kingdom
| | - Kathryn A. Addison
- University of Queensland Diamantina Institute, University of Queensland,
Princess Alexandra Hospital, Brisbane, Australia
| | - Linda A. Bradbury
- University of Queensland Diamantina Institute, University of Queensland,
Princess Alexandra Hospital, Brisbane, Australia
| | - Jacqueline R. Center
- Garvan Institute of Medical Research, Sydney, Australia
- St. Vincent's Clinical School, St. Vincent's Hospital Campus,
University of New South Wales, Sydney, Australia
| | - Cyrus Cooper
- Medical Research Council Lifecourse Epidemiology Unit, Southampton,
United Kingdom
- National Institute for Health and Research Biomedical Research Unit,
University of Oxford, Oxford, United Kingdom
| | - Catherine Cremin
- University of Queensland Diamantina Institute, University of Queensland,
Princess Alexandra Hospital, Brisbane, Australia
| | - Karol Estrada
- Department of Internal Medicine and Epidemiology, Erasmus Medical Center,
Rotterdam, The Netherlands
| | - Dieter Felsenberg
- Centre of Muscle and Bone Research, Charité – University
Medicine Berlin, Campus Benjamin Franklin, Free and Humboldt University, Berlin,
Germany
| | - Claus-C. Glüer
- Medizinische Physik, Klinik für Diagnostische Radiologie,
Universitätsklinikum Schleswig-Holstein, Kiel, Germany
| | - Johanna Hadler
- University of Queensland Diamantina Institute, University of Queensland,
Princess Alexandra Hospital, Brisbane, Australia
| | | | - Albert Hofman
- Department of Internal Medicine and Epidemiology, Erasmus Medical Center,
Rotterdam, The Netherlands
| | - Mark A. Kotowicz
- Department of Endocrinology and Diabetes, Barwon Health, Geelong,
Australia
| | - Joanna Makovey
- Institute of Bone Joint Research, University of Sydney, Royal North Shore
Hospital, Sydney, Australia
| | - Sing C. Nguyen
- Garvan Institute of Medical Research, Sydney, Australia
- School of Public Health and Community Medicine, University of New South
Wales, Sydney, Australia
| | - Tuan V. Nguyen
- Garvan Institute of Medical Research, Sydney, Australia
- St. Vincent's Clinical School, St. Vincent's Hospital Campus,
University of New South Wales, Sydney, Australia
- School of Public Health and Community Medicine, University of New South
Wales, Sydney, Australia
| | - Julie A. Pasco
- School of Medicine, Deakin University, Geelong, Australia
| | - Karena Pryce
- University of Queensland Diamantina Institute, University of Queensland,
Princess Alexandra Hospital, Brisbane, Australia
| | - David M. Reid
- Division of Applied Medicine, University of Aberdeen, Aberdeen, United
Kingdom
| | - Fernando Rivadeneira
- Department of Internal Medicine and Epidemiology, Erasmus Medical Center,
Rotterdam, The Netherlands
| | - Christian Roux
- Rheumatology Department, AP-HP Cochin Hospital – Paris-Descartes
University, Paris, France
| | - Kari Stefansson
- deCODE Genetics, Reykjavik, Iceland
- University of Iceland, Reykjavik, Iceland
| | | | | | - Rumbidzai Tichawangana
- The University of Melbourne, Department of Clinical and Biomedical
Sciences: Barwon Health, Geelong, Australia
| | - David M. Evans
- Medical Research Council Centre for Causal Analyses in Translational
Epidemiology, University of Bristol, Bristol, United Kingdom
| | - Matthew A. Brown
- University of Queensland Diamantina Institute, University of Queensland,
Princess Alexandra Hospital, Brisbane, Australia
- National Institute for Health and Research Biomedical Research Unit,
University of Oxford, Oxford, United Kingdom
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Crawford DC, Brown-Gentry K, Rieder MJ. VKORC1 common variation and bone mineral density in the Third National Health and Nutrition Examination Survey. PLoS One 2010; 5:e15088. [PMID: 21179439 PMCID: PMC3001474 DOI: 10.1371/journal.pone.0015088] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2010] [Accepted: 10/20/2010] [Indexed: 12/25/2022] Open
Abstract
Osteoporosis, defined by low bone mineral density (BMD), is common among postmenopausal women. The distribution of BMD varies across populations and is shaped by both environmental and genetic factors. Because the candidate gene vitamin K epoxide reductase complex subunit 1 (VKORC1) generates vitamin K quinone, a cofactor for the gamma-carboxylation of bone-related proteins such as osteocalcin, we hypothesized that VKORC1 genetic variants may be associated with BMD and osteoporosis in the general population. To test this hypothesis, we genotyped six VKORC1 SNPs in 7,159 individuals from the Third National Health and Nutrition Examination Survey (NHANES III). NHANES III is a nationally representative sample linked to health and lifestyle variables including BMD, which was measured using dual energy x-ray absorptiometry (DEXA) on four regions of the proximal femur. In adjusted models stratified by race/ethnicity and sex, SNPs rs9923231 and rs9934438 were associated with increased BMD (p = 0.039 and 0.024, respectively) while rs8050894 was associated with decreased BMD (p = 0.016) among non-Hispanic black males (n = 619). VKORC1 rs2884737 was associated with decreased BMD among Mexican-American males (n = 795; p = 0.004). We then tested for associations between VKORC1 SNPs and osteoporosis, but the results did not mirror the associations observed between VKORC1 and BMD, possibly due to small numbers of cases. This is the first report of VKORC1 common genetic variation associated with BMD, and one of the few reports available that investigate the genetics of BMD and osteoporosis in diverse populations.
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Affiliation(s)
- Dana C Crawford
- Center for Human Genetics Research, Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, Tennessee, United States of America.
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Zhang L, Guo YF, Liu YZ, Liu YJ, Xiong DH, Liu XG, Wang L, Yang TL, Lei SF, Guo Y, Yan H, Pei YF, Zhang F, Papasian CJ, Recker RR, Deng HW. Pathway-based genome-wide association analysis identified the importance of regulation-of-autophagy pathway for ultradistal radius BMD. J Bone Miner Res 2010; 25:1572-80. [PMID: 20200951 PMCID: PMC3153999 DOI: 10.1002/jbmr.36] [Citation(s) in RCA: 88] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Wrist fracture is not only one of the most common osteoporotic fractures but also a predictor of future fractures at other sites. Wrist bone mineral density (BMD) is an important determinant of wrist fracture risk, with high heritability. Specific genes underlying wrist BMD variation are largely unknown. Most published genome-wide association studies (GWASs) have focused only on a few top-ranking single-nucleotide polymorphisms (SNPs)/genes and considered each of the identified SNPs/genes independently. To identify biologic pathways important to wrist BMD variation, we used a novel pathway-based analysis approach in our GWAS of wrist ultradistal radius (UD) BMD, examining approximately 500,000 SNPs genome-wide from 984 unrelated whites. A total of 963 biologic pathways/gene sets were analyzed. We identified the regulation-of-autophagy (ROA) pathway that achieved the most significant result (p = .005, q(fdr) = 0.043, p(fwer) = 0.016) for association with UD BMD. The ROA pathway also showed significant association with arm BMD in the Framingham Heart Study sample containing 2187 subjects, which further confirmed our findings in the discovery cohort. Earlier studies indicated that during endochondral ossification, autophagy occurs prior to apoptosis of hypertrophic chondrocytes, and it also has been shown that some genes in the ROA pathway (e.g., INFG) may play important roles in osteoblastogenesis or osteoclastogenesis. Our study supports the potential role of the ROA pathway in human wrist BMD variation and osteoporosis. Further functional evaluation of this pathway to determine the mechanism by which it regulates wrist BMD should be pursued to provide new insights into the pathogenesis of wrist osteoporosis.
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Affiliation(s)
- Lishu Zhang
- Institute of Bioscience and Biotechnology, School of Science, Beijing Jiaotong University, Beijing, People's Republic of China
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Duncan EL, Brown MA. Clinical review 2: Genetic determinants of bone density and fracture risk--state of the art and future directions. J Clin Endocrinol Metab 2010; 95:2576-87. [PMID: 20375209 DOI: 10.1210/jc.2009-2406] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
CONTEXT Osteoporosis is a common, highly heritable condition that causes substantial morbidity and mortality, the etiopathogenesis of which is poorly understood. Genetic studies are making increasingly rapid progress in identifying the genes involved. EVIDENCE ACQUISITION AND SYNTHESIS In this review, we will summarize the current understanding of the genetics of osteoporosis based on publications from PubMed from the year 1987 onward. CONCLUSIONS Most genes involved in osteoporosis identified to date encode components of known pathways involved in bone synthesis or resorption, but as the field progresses, new pathways are being identified. Only a small proportion of the total genetic variation involved in osteoporosis has been identified, and new approaches will be required to identify most of the remaining genes.
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Affiliation(s)
- Emma L Duncan
- University of Queensland Diamantina Institute for Cancer, Immunology and Metabolic Medicine, Princess Alexandra Hospital, Ipswich Road, Woolloongabba, Queensland 4102, Australia.
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Varanasi SS, Olstad OK, Swan DC, Sanderson P, Gautvik VT, Reppe S, Francis RM, Gautvik KM, Datta HK. Skeletal site-related variation in human trabecular bone transcriptome and signaling. PLoS One 2010; 5:e10692. [PMID: 20502692 PMCID: PMC2872667 DOI: 10.1371/journal.pone.0010692] [Citation(s) in RCA: 25] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2009] [Accepted: 04/19/2010] [Indexed: 11/19/2022] Open
Abstract
Background The skeletal site-specific influence of multiple genes on bone morphology is recognised, but the question as to how these influences may be exerted at the molecular and cellular level has not been explored. Methodology To address this question, we have compared global gene expression profiles of human trabecular bone from two different skeletal sites that experience vastly different degrees of mechanical loading, namely biopsies from iliac crest and lumbar spinal lamina. Principal Findings In the lumbar spine, compared to the iliac crest, the majority of the differentially expressed genes showed significantly increased levels of expression; 3406 transcripts were up- whilst 838 were down-regulated. Interestingly, all gene transcripts that have been recently demonstrated to be markers of osteocyte, as well as osteoblast and osteoclast-related genes, were markedly up-regulated in the spine. The transcriptome data is consistent with osteocyte numbers being almost identical at the two anatomical sites, but suggesting a relatively low osteocyte functional activity in the iliac crest. Similarly, osteoblast and osteoclast expression data suggested similar numbers of the cells, but presented with higher activity in the spine than iliac crest. This analysis has also led to the identification of expression of a number of transcripts, previously known and novel, which to our knowledge have never earlier been associated with bone growth and remodelling. Conclusions and Significance This study provides molecular evidence explaining anatomical and micro-architectural site-related changes in bone cell function, which is predominantly attributable to alteration in cell transcriptional activity. A number of novel signaling molecules in critical pathways, which have been hitherto not known to be expressed in bone cells of mature vertebrates, were identified.
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Affiliation(s)
- Satya S Varanasi
- Musculoskeletal Research Group, Institute of Cellular Medicine, Medical School, Newcastle University, Newcastle Upon Tyne, United Kingdom
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Koller DL, Ichikawa S, Lai D, Padgett LR, Doheny KF, Pugh E, Paschall J, Hui SL, Edenberg HJ, Xuei X, Peacock M, Econs MJ, Foroud T. Genome-wide association study of bone mineral density in premenopausal European-American women and replication in African-American women. J Clin Endocrinol Metab 2010; 95:1802-9. [PMID: 20164292 PMCID: PMC2853986 DOI: 10.1210/jc.2009-1903] [Citation(s) in RCA: 63] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2009] [Accepted: 01/12/2010] [Indexed: 11/19/2022]
Abstract
CONTEXT Several genome-wide association studies (GWAS) have been performed to identify genes contributing to bone mineral density (BMD), typically in samples of elderly women and men. OBJECTIVE The objective of the study was to identify genes contributing to BMD in premenopausal women. DESIGN GWAS using the Illumina 610Quad array in premenopausal European-American (EA) women and replication of the top 50 single-nucleotide polymorphisms (SNPs) for two BMD measures in African-American (AA) women. SUBJECTS Subjects included 1524 premenopausal EA women aged 20-45 yr from 762 sibships and 669 AA premenopausal women aged 20-44 yr from 383 sibships. INTERVENTIONS There were no interventions. MAIN OUTCOME MEASURES BMD was measured at the lumbar spine and femoral neck by dual-energy x-ray absorptiometry. Age- and weight-adjusted BMD values were tested for association with each SNP, with P values determined by permutation. RESULTS SNPs in CATSPERB on chromosome 14 provided evidence of association with femoral neck BMD (rs1298989, P = 2.7 x 10(-5); rs1285635, P = 3.0 x 10(-5)) in the EA women, and some supporting evidence was also observed with these SNPs in the AA women (rs1285635, P = 0.003). Genes identified in other BMD GWAS studies, including IBSP and ADAMTS18, were also among the most significant findings in our GWAS. CONCLUSIONS Evidence of association to several novel loci was detected in a GWAS of premenopausal EA women, and SNPs in one of these loci also provided supporting evidence in a sample of AA women.
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Affiliation(s)
- Daniel L Koller
- Departments of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana 46202, USA.
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29
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Abstract
In contrast to conventional dual-energy X-ray absorptiometry, quantitative computed tomography separately measures trabecular and cortical volumetric bone mineral density (vBMD). Little is known about the genetic variants associated with trabecular and cortical vBMD in humans, although both may be important for determining bone strength and osteoporotic risk. In the current analysis, we tested the hypothesis that there are genetic variants associated with trabecular and cortical vBMD at the femoral neck by genotyping 4608 tagging and potentially functional single-nucleotide polymorphisms (SNPs) in 383 bone metabolism candidate genes in 822 Caucasian men aged 65 years or older from the Osteoporotic Fractures in Men Study (MrOS). Promising SNP associations then were tested for replication in an additional 1155 men from the same study. We identified SNPs in five genes (IFNAR2, NFATC1, SMAD1, HOXA, and KLF10) that were robustly associated with cortical vBMD and SNPs in nine genes (APC, ATF2, BMP3, BMP7, FGF18, FLT1, TGFB3, THRB, and RUNX1) that were robustly associated with trabecular vBMD. There was no overlap between genes associated with cortical vBMD and trabecular vBMD. These findings identify novel genetic variants for cortical and trabecular vBMD and raise the possibility that some genetic loci may be unique for each bone compartment.
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Tang NLS, Liao CD, Ching JKL, Suen EWC, Chan IHS, Orwoll E, Ho SC, Chan FWK, Kwok AWL, Kwok T, Woo J, Leung PC. Sex-specific effect of Pirin gene on bone mineral density in a cohort of 4000 Chinese. Bone 2010; 46:543-50. [PMID: 19766747 DOI: 10.1016/j.bone.2009.09.012] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/24/2009] [Revised: 08/22/2009] [Accepted: 09/12/2009] [Indexed: 11/30/2022]
Abstract
BACKGROUND Osteoporosis is a common condition among elderly. Genetic mapping studies repeatedly located the distal short arms of X-chromosome as the quantitative trait loci (QTL) for BMD in mice. Fine mapping of a syntenic segment on Xp22 in a Caucasian female population suggested a moderate association between lumbar spine (LS) BMD and 2 intronic SNPs in the Pirin (PIR) gene, which encodes an iron-binding nuclear protein. This study aimed to examine genetic variations in the PIR gene by a comprehensive tagging method and its sex-specific effects on BMD and osteoporotic risk. METHODS Two thousand men and 2000 women aged 65 or above were recruited from the community. BMDs at the LS, femoral neck, total hip and whole body were measured and followed up at 4-year. Genotyping was performed for tagSNPs of PIR gene including adjacent regions, and the PIR haplotypes were inferred using PHASE program. RESULTS Analysis by linear regression showed a significant association between SNP rs5935970 and LS-BMD, while haplotype T-T-A was significantly associated with BMD of all measured sites. However, none of such associations were found in men. Linear Mixed Model also confirmed the same sex-specific and site-specific effect for longitudinal BMD changes. CONCLUSION In addition to confirming the association between BMDs and the PIR gene, we also revealed that this finding is sex-specific, possibly due to an X-linked effect. This study demonstrated the importance of considering sex and genetic interactions in studies of disease predisposition and complex traits.
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Affiliation(s)
- Nelson L S Tang
- Department of Chemical Pathology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.
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Li WF, Hou SX, Yu B, Li MM, Férec C, Chen JM. Genetics of osteoporosis: accelerating pace in gene identification and validation. Hum Genet 2009; 127:249-85. [PMID: 20101412 DOI: 10.1007/s00439-009-0773-z] [Citation(s) in RCA: 75] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2009] [Accepted: 11/25/2009] [Indexed: 02/06/2023]
Abstract
Osteoporosis is characterized by low bone mineral density and structural deterioration of bone tissue, leading to an increased risk of fractures. It is the most common metabolic bone disorder worldwide, affecting one in three women and one in eight men over the age of 50. In the past 15 years, a large number of genes have been reported as being associated with osteoporosis. However, only in the past 4 years we have witnessed an accelerated pace in identifying and validating osteoporosis susceptibility loci. This increase in pace is mostly due to large-scale association studies, meta-analyses, and genome-wide association studies of both single nucleotide polymorphisms and copy number variations. A comprehensive review of these developments revealed that, to date, at least 15 genes (VDR, ESR1, ESR2, LRP5, LRP4, SOST, GRP177, OPG, RANK, RANKL, COLIA1, SPP1, ITGA1, SP7, and SOX6) can be reasonably assigned as confirmed osteoporosis susceptibility genes, whereas, another >30 genes are promising candidate genes. Notably, confirmed and promising genes are clustered in three biological pathways, the estrogen endocrine pathway, the Wnt/beta-catenin signaling pathway, and the RANKL/RANK/OPG pathway. New biological pathways will certainly emerge when more osteoporosis genes are identified and validated. These genetic findings may provide new routes toward improved therapeutic and preventive interventions of this complex disease.
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Affiliation(s)
- Wen-Feng Li
- Department of Orthopaedics, The First Affiliated Hospital, General Hospital of the People's Liberation Army, 100037 Beijing, China
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Hansen HL, Bredbenner TL, Nicolella DP, Mahaney MC, Havill LM. Cross-sectional geometry of the femoral midshaft in baboons is heritable. Bone 2009; 45:892-7. [PMID: 19523547 PMCID: PMC3014089 DOI: 10.1016/j.bone.2009.05.028] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/04/2008] [Revised: 05/08/2009] [Accepted: 05/29/2009] [Indexed: 11/20/2022]
Abstract
A great deal of research into the determinants of bone strength has unequivocally demonstrated that variation in bone strength is highly subject to genetic factors. Increasing attention in skeletal genetic studies is being paid to indicators of bone quality that complement studies of BMD, including studies of the genetic control of bone geometry. The aim of this study is to investigate the degree to which normal population-level variation in femoral midshaft geometry in a population of pedigreed baboons (Papio hamadryas spp.) can be attributed to the additive effect of genes. Using 110 baboons (80 females, 30 males), we 1) characterize normal variation in midshaft geometry of the femur with regard to age and sex, and 2) determine the degree to which the residual variation is attributable to additive genetic effects. Cross-sectional area (CSA), minimum (I(MIN)) and maximum (I(MAX)) principal moments of inertia, and polar moment of inertia (J) were calculated from digitized images of transverse midshaft sections. Maximum likelihood-based variance decomposition methods were used to estimate the mean effects of age, sex, and genes. Together age and sex effects account for approximately 56% of the variance in each property. In each case the effect of female sex is negative and that of age is positive, although of a lower magnitude than the effect of female sex. Increased age is associated with decreased mean cross-sectional geometry measures in the oldest females. Residual h(2) values range from 0.36 to 0.50, reflecting genetic effects accounting for 15% to 23% of the total phenotypic variance in individual properties. This study establishes the potential of the baboon model for the identification of genes that regulate bone geometric properties in primates. This model is particularly valuable because it allows for experimental designs, environmental consistency, availability of tissues, and comprehensive assessments of multiple integrated bone phenotypes that are not possible in human populations. The baboon is of particular importance in genetic studies, because it provides results that are likely highly relevant to the human condition due to the phylogenetic proximity of baboons to humans.
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Affiliation(s)
- Heather L. Hansen
- Department of Anthropology, Indiana University, Bloomington, IN 47408
| | - Todd L. Bredbenner
- Department of Materials Engineering, Southwest Research Institute San Antonio, TX 78238
| | - Daniel P. Nicolella
- Department of Materials Engineering, Southwest Research Institute San Antonio, TX 78238
| | - Michael C. Mahaney
- Department of Genetics, Southwest Foundation for Biomedical Research, San Antonio, TX 78245-0549
- Southwest National Primate Research Center, San Antonio, TX 78227
| | - Lorena M. Havill
- Department of Genetics, Southwest Foundation for Biomedical Research, San Antonio, TX 78245-0549
- Corresponding Author: Dr. Lorena M. Havill, Department of Genetics, Southwest Foundation for Biomedical Research, P.O. Box 760549, San Antonio, Texas 78245-0549, Telephone: 210-258-9875, Fax: 210-670-3344,
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Peacock M, Koller DL, Lai D, Hui S, Foroud T, Econs MJ. Bone mineral density variation in men is influenced by sex-specific and non sex-specific quantitative trait loci. Bone 2009; 45:443-8. [PMID: 19427925 PMCID: PMC2725190 DOI: 10.1016/j.bone.2009.05.002] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2009] [Revised: 05/01/2009] [Accepted: 05/05/2009] [Indexed: 11/19/2022]
Abstract
INTRODUCTION A major predictor of age-related osteoporotic fracture is peak areal bone mineral density (aBMD) which is a highly heritable trait. However, few linkage and association studies have been performed in men to identify the genes contributing to normal variation in aBMD. The aim of this study was to perform a genome wide scan in healthy men to identify quantitative trait loci (QTL) that were significantly linked to aBMD and to test whether any of these might be sex-specific. METHODS aBMD at the spine and hip were measured in 515 pairs of brothers, aged 18-61 (405 white pairs, 110 black pairs). Linkage analysis in the brother sample was compared with results in a previously published sample of 774 sister pairs to identify sex-specific quantitative trait loci (QTL). RESULTS A genome wide scan identified significant QTL (LOD>3.6) for aBMD on chromosomes 4q21 (hip), 7q34 (spine), 14q32 (hip), 19p13 (hip), 21q21 (hip), and 22q13 (hip). Analysis suggested that the QTL on chromosomes 7q34, 14q32, and 21q21 were male-specific whereas the others were not sex-specific. CONCLUSIONS This study demonstrates that six QTL were significantly linked with aBMD in men. One was linked to the spine and five were linked to the hip. When compared to published data in women from the same geographical region, the QTL on chromosomes 7, 14 and 21 were male-specific. The occurrence of sex-specific genes in humans for aBMD has important implications for the pathogenesis and treatment of osteoporosis.
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Affiliation(s)
- Munro Peacock
- Department of Medicine, Indiana University School of Medicine
| | - Daniel L. Koller
- Department of Medical and Molecular Genetics, Indiana University School of Medicine
| | - Dongbing Lai
- Department of Medical and Molecular Genetics, Indiana University School of Medicine
| | - Siu Hui
- Department of Medicine, Indiana University School of Medicine
| | - Tatiana Foroud
- Department of Medical and Molecular Genetics, Indiana University School of Medicine
| | - Michael J. Econs
- Department of Medicine, Indiana University School of Medicine
- Department of Medical and Molecular Genetics, Indiana University School of Medicine
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Burrows M, Baxter-Jones A, Mirwald R, Macdonald H, McKay H. Bone mineral accrual across growth in a mixed-ethnic group of children: are Asian children disadvantaged from an early age? Calcif Tissue Int 2009; 84:366-78. [PMID: 19308631 DOI: 10.1007/s00223-009-9236-8] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/11/2008] [Accepted: 02/21/2009] [Indexed: 10/21/2022]
Abstract
We investigated the contribution of ethnicity, physical activity, body composition, and calcium intake to bone accrual across 7 years of growth. We assessed 80 Caucasian and 74 Asian boys and 81 Caucasian and 64 Asian girls at baseline and retained 155 children across all 7 years. Ethnicity, physical activity, and calcium intake were assessed by questionnaire; fat mass, lean mass, and bone mineral content (BMC) of the whole body (WB), lumbar spine (LS), total proximal femur (PF(TOT)), and femoral neck (FN) were measured using DXA (Hologic QDR 4500). We aligned children on peak height velocity and utilized multilevel modeling to assess bone mineral accrual. Height and lean mass accounted for 51.8% and 44.1% of BMC accrual in children. There was a significant difference in physical activity, calcium intake, and lean mass between Asians and Caucasian boys and girls at baseline and conclusion (p < 0.05). In boys, physical activity and ethnicity significantly predicted BMC accrual at the FN. In girls, Asians had significantly lower PF(TOT) and FN BMC. Calcium was a significant predictor of WB BMC accrual in boys and girls. In conclusion, our findings highlight the importance of accounting for ethnicity in pediatric studies. Physical activity, dietary calcium, and lean mass positively influence bone accrual and are lower in Asian compared to Caucasian children from a very young age.
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Affiliation(s)
- Melonie Burrows
- Department of Orthopedics, Centre for Hip Health and Mobility, University of British Columbia, BC, Canada.
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Tse KY, Macias BR, Meyer RS, Hargens AR. Heritability of bone density: regional and gender differences in monozygotic twins. J Orthop Res 2009; 27:150-4. [PMID: 18683888 DOI: 10.1002/jor.20721] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
Bone mineral density (BMD) is a measure of a person's skeletal mineral content, and assessing BMD by dual x-ray absorptiometry (DEXA) can help to diagnose diseases of low bone density. In this study, we determine the heritability of BMD in male and female monozygotic twin subjects using DEXA in 13 specific anatomical regions. In an attempt to quantify the genetic contribution of gender and skeletal region to BMD heritability, we scanned 14 pairs of identical twins using DEXA and calculated the broad-sense heritability coefficient (H(2)) in each of the 13 different body regions. The region of the body that was most heritable for both genders was the head (H(2) >or= 95%). When males were compared to females, H(2) values for male hip (H(2) = 87%) and lower extremities (H(2) = 90%) were higher than those in females (H(2) = 49% and 56%, respectively). Conversely, H(2) value for the female pelvis (H(2) = 68%) was higher than that for males (H(2) = 26%). These data show that different regions of the skeleton exhibit different degrees of heritability, and that the variation depends on gender.
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Affiliation(s)
- Kevin Y Tse
- Department of Orthopaedic Surgery, University of California at San Diego, UCSD Medical Center, San Diego, California 92103-8894, USA.
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Xiong Q, Jiao Y, Hasty KA, Canale ST, Stuart JM, Beamer WG, Deng HW, Baylink D, Gu W. Quantitative trait loci, genes, and polymorphisms that regulate bone mineral density in mouse. Genomics 2009; 93:401-14. [PMID: 19150398 DOI: 10.1016/j.ygeno.2008.12.008] [Citation(s) in RCA: 29] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2008] [Revised: 11/26/2008] [Accepted: 12/15/2008] [Indexed: 01/23/2023]
Abstract
This is an in silico analysis of data available from genome-wide scans. Through analysis of QTL, genes and polymorphisms that regulate BMD, we identified 82 BMD QTL, 191 BMD-associated (BMDA) genes, and 83 genes containing known BMD-associated polymorphisms (BMDAP). The catalogue of all BMDA/BMDAP genes and relevant literatures are provided. In total, there are substantially more BMDA/BMDAP genes in regions of the genome where QTL have been identified than in non-QTL regions. Among 191 BMDA genes and 83 BMDAP genes, 133 and 58 are localized in QTL regions, respectively. The difference was still noticeable for the chromosome distribution of these genes between QTL and non-QTL regions. These results have allowed us to generate an integrative profile of QTL, genes, polymorphisms that determine BMD. These data could facilitate more rapid and comprehensive identification of causal genes underlying the determination of BMD in mouse and provide new insights into how BMD is regulated in humans.
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Affiliation(s)
- Qing Xiong
- Department of Orthopaedic Surgery - Campbell Clinic and Pathology, University of Tennessee Health Science Center, Memphis, TN 38163, USA.
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Abstract
Low bone mass in adults is a major risk factor for low-impact fractures and is considered of complex origin because of interaction of environmental and genetic factors, each with modest effect. The objective was to assess the relative impact of genetics and environment and quantify the risk in relatives of osteopenic individuals. We studied 440 Icelandic nuclear families with 869 first-degree relatives of both sexes. Index cases (male or female) had BMD in the lumbar spine or hip >1.5 SD less than sex-matched controls. Heritability of BMD was estimated by maximum likelihood method, and variance component analysis was used to partition the genetic and environmental effects. Relative risk of low BMD (< -1 SD) in first-degree relatives was estimated, and heritable decrement in BMD was calculated compared with controls. Heritability was estimated as 0.61-0.66. Relative risk among first-degree relatives was 2.28, and the yield of screening was as high as 36%. The genetic influence was consistent with one or a few genes with considerable effect in addition to multiple genes each with a small effect. The genetic deficit in BMD was already present before 35 yr of age and equaled bone loss during 8-30 yr after menopause. We confirmed that genetics are more important than environment to low bone mass in adults. Our results are consistent with a few underlying genes with considerable effect. The prevalence among first-degree relatives of both sexes is common, suggesting that screening them should be cost effective and informative to elucidate the underlying genetics.
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Abstract
Osteoporosis and disorders of bone fragility are highly heritable, but despite much effort the identities of few of the genes involved has been established. Recent developments in genetics such as genome-wide association studies are revolutionizing research in this field, and it is likely that further contributions will be made through application of next-generation sequencing technologies, analysis of copy number variation polymorphisms, and high-throughput mouse mutagenesis programs. This article outlines what we know about osteoporosis genetics to date and the probable future directions of research in this field.
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Affiliation(s)
- Emma L Duncan
- The University of Queensland, Diamantina Institute for Cancer Immunology and Metabolic Medicine, Princess Alexandra Hospital, Woolloongabba Qld 4102, Australia.
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Abstract
Osteoporosis is a frequent skeletal disorder, particularly among postmenopausal women. It affects approximately 30% of women and 12% of men above 50 years of age. It is characterized by reduced bone mass and alterations in bone microarchitecture that result in impaired bone strength and a propensity to fracture. Decreased bone mass is the consequence of an imbalance in the bone remodeling process, resulting from complex interactions between acquired and genetic factors. The former include physical activity, nutrition and other lifestyle habits, as well as the skeletal effects of some diseases and drug therapies. Genetic factors have been extensively studied during the past 15 years. We will review some important studies that exemplify the advances and the difficulties in this research field.
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Affiliation(s)
- José A Riancho
- University of Cantabria, Department of Internal Medicine, Hospital UM Valdecilla, Av. Valdecilla, s/n 39008, Santander, Spain
| | - María T Zarrabeitia
- Unit of Legal Medicine, University of Cantabria, Av Herrera Oria, s/n 39011, Santander, Spain
| | - Jesús González Macías
- University of Cantabria, Department of Internal Medicine, Hospital UM Valdecilla, Av. Valdecilla, s/n 39008, Santander, Spain
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Al-oanzi ZH, Tuck SP, Mastana SS, Summers GD, Cook DB, Francis RM, Datta HK. Vitamin D-binding protein gene microsatellite polymorphism influences BMD and risk of fractures in men. Osteoporos Int 2008; 19:951-60. [PMID: 18038108 DOI: 10.1007/s00198-007-0516-8] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2007] [Accepted: 10/29/2007] [Indexed: 02/05/2023]
Abstract
UNLABELLED Here we report the results of a vitamin D-binding protein gene microsatellite polymorphism study in 170 men, comprising healthy male subjects and men with osteoporosis-related symptomatic vertebral fractures. We confirm the results of an earlier study in a different cohort, showing relationship between certain genotypes of (TAAAn)-Alu repeats and reduced BMD and vertebral fractures. INTRODUCTION Vitamin D-binding protein (DBP) plays a critical role in the transport and metabolism of metabolites of vitamin D, including the key calciotropic hormone 1alpha,25-dihydroxyvitamin D3 (1,25(OH)2D3). METHODS We have investigated intra-intronic variable tandem (TAAA)n-Alu repeat expansion in the DBP gene in 170 men, comprising healthy male subjects and men with idiopathic osteoporosis and low trauma fractures. RESULTS AND CONCLUSIONS The predominant DBP-Alu genotype in the control subjects was 10/10 (frequency 0.421), whereas the frequency of this genotype in men with osteoporosis was 0.089. DBP-Alu alleles *10, *8 and *9, respectively, were the three commonest in both healthy subjects and men with osteoporosis. Allele *10 was associated with a lower risk of osteoporosis (OR 0.39, 95% CI 0.25-0.64; p < 0.0005), as was allele *11 (odds ratio 0.09, 95% CI 0.01-0.67; p < 0.007). Logistic regression gave similar results, showing that individuals with genotype 10/10 and 19-20 repeats (genotypes 9/10, 9/11, 10/10,) are protected from fracture or osteoporosis. Overall, there was a relationship between DBP Alu genotype and BMD, suggesting that DBP-Alu genotype may influence fracture risk. This effect may be mediated by changes in the circulating concentrations of DBP which influences free concentrations of vitamin D.
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Affiliation(s)
- Z H Al-oanzi
- School of Clinical & Laboratory Sciences, The Medical School, University of Newcastle, Newcastle upon Tyne, Framlington Place, Newcastle upon Tyne, NE2 4HH, UK
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Sun Q, Alam I, Liu L, Koller DL, Carr LG, Econs MJ, Foroud T, Turner CH. Genetic loci affecting bone structure and strength in inbred COP and DA rats. Bone 2008; 42:547-53. [PMID: 18158281 PMCID: PMC2288735 DOI: 10.1016/j.bone.2007.11.004] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2007] [Revised: 11/02/2007] [Accepted: 11/07/2007] [Indexed: 02/07/2023]
Abstract
Previous studies have shown that the Copenhagen 2331 (COP) and Dark Agouti (DA) rats have significant differences in bone structure and strength despite their similar body mass. Thus, these inbred rat strains may provide a unique resource to identify the genetics underlying the phenotypic variation in bone fragility. A sample of 828 (405 males and 423 females) COPxDA F2 progeny had extensive phenotyping for bone structure measures including cortical bone area and polar moment of inertia at the femur midshaft and total, cortical and trabecular bone areas, for the lumbar vertebra 5 (L5). Bone strength phenotypes included ultimate force, stiffness and work to failure of femur and L5. These skeletal phenotypes were measured using peripheral quantitative computed tomography (pQCT) and mechanical testing. A whole-genome screen was conducted in the F2 rats, using microsatellite markers spaced at approximately 20 cM intervals. Genetic marker maps were generated from the F2 data and used for genome-wide linkage analyses to detect linkage to the bone structure and strength phenotypes. Permutation testing was employed to obtain the thresholds for genome-wide significance (p<0.01). Significant QTL for femur structure and strength were identified on chromosome (Chr) 1 with a maximum LOD score of 33.5; evidence of linkage was found in both the male and female rats. In addition, Chrs 6, 7, 10, 13, 15 and 18 were linked to femur midshaft structure. QTL linked to femur strength were identified on Chrs 5 and 10. For L5 vertebrae, Chrs 2, 16, and 18 harbored QTL for cortical structure and trabecular structure for L5 was linked to Chrs 1, 7, 12, and 18. One female-specific QTL for femur ultimate force was identified on Chr 5, and two male-specific QTL for L5 cortical area were found on Chrs 2 and 18. Our study demonstrates strong evidence of linkage for bone structure and strength to multiple rat chromosomes.
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Affiliation(s)
- Qiwei Sun
- Department of Biomedical Engineering, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Imranul Alam
- Department of Biomedical Engineering, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Lixiang Liu
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Daniel L. Koller
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Lucinda G. Carr
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
- Department of Pharmacology, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Michael J. Econs
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Tatiana Foroud
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Charles H. Turner
- Department of Biomedical Engineering, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
- Biomechanics and Biomaterials Research Center, IUPUI, Indianapolis, IN 46202, USA
- *Corresponding author: Charles H. Turner, IUPUI, Indiana University School of Medicine, 1120 South Drive, Fesler Hall 115, Indianapolis, IN 46202, Phone (317) 274-3226, Fax (317) 278-9568, E-mail address:
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Makovey J, Nguyen TV, Naganathan V, Wark JD, Sambrook PN. Genetic effects on bone loss in peri- and postmenopausal women: a longitudinal twin study. J Bone Miner Res 2007; 22:1773-80. [PMID: 17620052 DOI: 10.1359/jbmr.070708] [Citation(s) in RCA: 47] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
UNLABELLED This longitudinal twin study was designed to assess the heritability of bone loss in peri- and postmenopausal women. A sample of 724 female twins was studied. Baseline and repeat BMD measurements were performed. Results of genetic model-fitting analysis indicated genetic effects on bone loss account for approximately 40% of the between-individual variation in bone loss at the lumbar spine, forearm, and whole body. INTRODUCTION BMD and bone loss are important predictors of fracture risk. Although the heritability of peak BMD is well documented, it is not clear whether bone loss is also under genetic regulation. This study was designed to assess the heritability of bone loss in peri- and postmenopausal women. MATERIALS AND METHODS A sample of 724 female twins (177 monozygotic [MZ] and 185 dizygotic [DZ] pairs), 45-82 yr of age, was studied. Each individual had baseline BMD measurements at the lumbar spine, hip, forearm, and total body by DXA and at least one repeat measure, on average 4.9 yr later. Change in BMD (DeltaBMD) was expressed as percent of gain or loss per year. Intraclass correlation coefficients for DeltaBMD were calculated for MZ and DZ pairs. Genetic model-fitting analysis was conducted to partition the total variance of DeltaBMD into three components: genetic (G), common environment (C), and specific environment, including measurement error (E). The index of heritability was estimated as the ratio of genetic variance over total variance. RESULTS The mean annual DeltaBMD was -0.37 +/- 1.43% (SD) per year at the lumbar spine, -0.27 +/- 1.32% at the total hip, -0.77 +/- 1.66% at the total forearm, -0.36 +/- 1.56% at the femoral neck, and -0.16 +/- 0.81% at the whole body. Intraclass correlation coefficients were significantly higher in MZ than in DZ twins for all studied parameters, except at the hip sites. Results of genetic model-fitting analysis indicated that the indices of heritability for DeltaBMD were 0.38, 0.49, and 0.44 for the lumbar spine, total forearm, and whole body, respectively. However, the genetic effect on DeltaBMD at all hip sites was not significant. CONCLUSIONS These data suggest that, although genetic effects on bone loss with aging are less pronounced than on peak bone mass, they still account for approximately 40% of the between-individual variation in bone loss for the lumbar spine, total forearm, and whole body in peri- and postmenopausal women. These findings are relevant for studies aimed at identification of genes that are involved in the regulation of bone loss.
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Affiliation(s)
- Joanna Makovey
- Institute of Bone and Joint Research, Royal North Shore Hospital, University of Sydney, Sydney, Australia.
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Pleiotropy and heterogeneity in the expression of bone strength-related phenotypes in extended pedigrees. J Bone Miner Res 2007; 22:1766-72. [PMID: 17931101 DOI: 10.1359/jbmr.070718] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
UNLABELLED Genetic analysis in 3,535 relative pairs from extended multigenerational families of African heritage showed that volumetric BMD is a highly heritable polygenic trait that is under compartment-specific genetic regulation. The majority of the phenotypic variation in bone size and volumetric BMD also seems to be strongly influenced by distinct genes for each trait. INTRODUCTION BMD and bone size contribute to bone strength and the risk of fracture. Little is known about the genetic architecture of QCT measures of volumetric BMD and bone size. We studied the contribution of genes, shared genes (pleiotropy), and shared environment to cortical and trabecular volumetric BMD and bone size using variance components analysis. MATERIALS AND METHODS A total of 471 individuals >or=18 yr of age (mean, 43 yr) from eight multigenerational Afro-Caribbean families (mean family size > 50; 3535 relative pairs) underwent a peripheral QCT scan of the radius and tibia and anthropometry. RESULTS Strong positive genetic correlations were observed for trabecular or cortical BMD measured at the tibia and radius (rho(G) > 0.82, p < 0.01), but not between trabecular and cortical BMD measured within the same anatomical site. Genetic correlations between volumetric BMD and bone length and circumference were also not statistically significant. CONCLUSIONS BMD is a highly heritable polygenic trait that is under compartment-specific genetic regulation. The majority of the phenotypic variation in skeletal size and density seems to be strongly influenced by distinct sets of genes for each trait.
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McGuigan FE, Larzenius E, Callreus M, Gerdhem P, Luthman H, Akesson K. Variation in the BMP2 gene: bone mineral density and ultrasound in young adult and elderly women. Calcif Tissue Int 2007; 81:254-62. [PMID: 17726567 DOI: 10.1007/s00223-007-9054-9] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/19/2007] [Accepted: 06/23/2007] [Indexed: 10/22/2022]
Abstract
Bone morphogenetic protein-2 (BMP2) plays a key role in bone formation and maintenance. Studies of polymorphisms within the gene in relation to bone mineral density (BMD) and fracture have been inconsistent. Our aim was to investigate associations between polymorphisms in the BMP2 gene and bone mass, fracture, and quantitative ultrasound (QUS) measures at different stages of skeletal development. Study subjects were participants of two population-based cohorts of Swedish women: the PEAK-25 cohort of young adult women aged 25 years (n = 993) and the OPRA cohort of elderly women aged 75 years (n = 1,001). We analyzed four single-nucleotide polymorphisms (SNPs) across the BMP2 gene including the Ser37Ala SNP previously identified in relation to BMD, QUS of the calcaneus, and, in the elderly women, fracture. BMP2 gene variations were associated with QUS of bone, independent of BMD, but only in the young women. Even after adjusting for confounding factors, SNP rs235754 in the 3' region of the gene was significantly associated with the ultrasound parameters speed of sound (P = 0.003) and stiffness (P = 0.002). The 5' SNP rs235710 showed trends for QUS parameters (P = 0.02-0.07). No association with BMP2 SNPs was observed in either cohort for either BMD or fracture. While further, more extensive genotyping across the gene is recommended, as we may not have captured all information, our preliminary data suggest that variation in BMP2 may play a previously unidentified role in aspects of bone quality, which may be age- and site-dependent.
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Affiliation(s)
- Fiona E McGuigan
- Clinical and Molecular Osteoporosis Research Unit, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
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Vilariño-Güell C, Miles LJ, Duncan EL, Ralston SH, Compston JE, Cooper C, Langdahl BL, Maclelland A, Pols HA, Reid DM, Uitterlinden AG, Steer CD, Tobias JH, Wass JA, Brown MA. PTHR1 polymorphisms influence BMD variation through effects on the growing skeleton. Calcif Tissue Int 2007; 81:270-8. [PMID: 17885720 DOI: 10.1007/s00223-007-9072-7] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2007] [Accepted: 08/20/2007] [Indexed: 01/27/2023]
Abstract
We investigated whether polymorphisms in PTHR1 are associated with bone mineral density (BMD), to determine whether the association of this gene with BMD was due to effects on attainment of peak bone mass or effects on subsequent bone loss. The PTHR1 gene, including its 14 exons, their exon-intron boundaries, and 1,500 bp of its promoter region, was screened for polymorphisms by denaturing high-performance liquid chromatography (dHPLC) and sequencing in 36 osteoporotic cases. Eleven single-nucleotide polymorphisms (SNPs), one tetranucleotide repeat, and one tetranucleotide deletion were identified. A cohort of 634 families, including 1,236 men (39%) and 1,926 women (61%) ascertained with probands with low BMD (Z< -2.0) and the Children in Focus subset of the Avon Longitudinal Study of Parents and Children (ALSPAC) cohort (785 unrelated individuals, mean age 118 months), were genotyped for the five most informative SNPs (minor allele frequency >5%) and the tetranucleotide repeat. In our osteoporosis families, association was noted between lumbar spine BMD and alleles of a known functional tetranucleotide repeat (U4) in the PTHR1 promoter region (P = 0.042) and between two and three marker haplotypes of PTHR1 polymorphisms with lumbar spine, femoral neck, and total hip BMD (P = 0.021-0.047). This association was restricted to the youngest tertile of the population (age 16-39 years, P = 0.013-0.048). A similar association was found for the ALSPAC cohort: two marker haplotypes of SNPs A48609T and C52813T were associated with height (P = 0.006) and total body less head BMD (P = 0.02), corrected for age and gender, confirming the family findings. These findings suggest a role for PTHR1 variation in determining peak BMD.
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Affiliation(s)
- Carles Vilariño-Güell
- Institute of Musculoskeletal Sciences, Botnar Research Centre, Nuffield Orthopaedic Centre, University of Oxford, Headington, Oxford, UK
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Edderkaoui B, Baylink DJ, Beamer WG, Shultz KL, Wergedal JE, Mohan S. Genetic regulation of femoral bone mineral density: complexity of sex effect in chromosome 1 revealed by congenic sublines of mice. Bone 2007; 41:340-5. [PMID: 17618849 DOI: 10.1016/j.bone.2007.05.013] [Citation(s) in RCA: 26] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2007] [Revised: 05/22/2007] [Accepted: 05/31/2007] [Indexed: 11/17/2022]
Abstract
The findings that sex-specific effects on femoral structure and peak bone mineral density (BMD) are linked to quantitative trait loci (QTL) provide evidence for the involvement of specific genes that contribute to gender variation in skeletal phenotype. Based on previous findings that the BMD QTL in chromosome 1 (Chr 1) exerts a sex-specific effect on femoral structure, we predicted that congenic sublines of mice that carry one or more of the Chr 1 BMD loci would exhibit gender difference in the volumetric BMD (vBMD) phenotype. To test this hypothesis, we compared skeletal parameters of male and female of five C57BL/6J (B6).CAST/EiJ (CAST)-1 congenic sublines of mice that carry overlapping CAST chromosomal segments from the vBMD loci in Chr 1. Femur vBMD measurements were performed by the peripheral quantitative computed tomography in male and female mice at 16 weeks of age. The skeletal phenotype of the C175-185 and C178-185 congenic sublines of mice provided evidence for the presence of the BMD1-4 locus at 178-180 Mb from the centromere. This QTL affects femur vBMD only in female mice. In contrast, CAST chromosomal region carrying BMD1-1 locus increased femur vBMD both in male and female mice. Furthermore, a gender specific effect on BMD of femur mid-shaft region (mid-BMD) was identified at 168-176 Mb in Chr 1 (F=16.49, P=0.0002), while no significant effect was found on total femur BMD (F=2.67, P=0.11). Moreover, this study allowed us to locate a body weight QTL at 168-172 Mb of Chr 1, the effect of this locus was altered in female mice that carry CAST chromosomal segment 168-176 Mb of Chr 1. Based on this study, we conclude that Chr 1 carries at least two vBMD gender-dependent loci; one genetic locus at 178-180 Mb (BMD1-4 locus) which affects both mid-shaft and total femur vBMD in female mice only, and another gender-dependent locus at 168-176 Mb (BMD1-2 locus) which affects femur mid-shaft vBMD in female but not male mice.
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Affiliation(s)
- B Edderkaoui
- Musculoskeletal Disease Center, Jerry L. Pettis Memorial VA Medical Center, 11201 Benton Street, and Department of Biochemistry, Loma Linda University, CA 92357, USA
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Holmes C, Khan TS, Owen C, Ciliberti N, Grynpas MD, Stanford WL. Longitudinal analysis of mesenchymal progenitors and bone quality in the stem cell antigen-1-null osteoporotic mouse. J Bone Miner Res 2007; 22:1373-86. [PMID: 17547535 DOI: 10.1359/jbmr.070604] [Citation(s) in RCA: 30] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
UNLABELLED We performed a longitudinal analysis of bone quality in Sca-1-null mice. A tight temporal, site-specific association between Sca-1-deficient BMD deficiency and reduced mesenchymal progenitor frequency was observed. Defects in trabecular microarchitecture and mineralization were, at least partially, responsible for the age-related reduction in toughness of Sca-1(-/-) bones. INTRODUCTION We previously showed that stem cell antigen 1 (Sca-1)-null mice undergo normal bone development but exhibit significantly decreased bone mass characteristic of age-dependent osteoporosis. The objective of this study was to characterize the initiation and progression of the Sca-1 mutant skeletal phenotype at the cellular, structural, material, and mechanical levels. MATERIALS AND METHODS Sca-1-null and control mice were analyzed at 3, 5, 7, and 9 mo of age. In vitro osteoclastogenesis of bone marrow and spleen-derived progenitor populations was assessed. Bone marrow-derived mesenchymal progenitor frequency, along with osteogenic and adipogenic differentiation potential, was analyzed in vitro. Static histomorphometry of the sixth lumbar vertebrae was performed. Whole body, femoral, and vertebral BMD were assessed using DXA. Lumbar vertebrae were analyzed using microCT, back-scattered electron imaging, and compression tests. Three-point bending and femoral neck fracture tests were performed on excised femurs. RESULTS Sca-1-null mice displayed an age-dependent, cell-autonomous osteoclast deficiency in vitro. From 7 mo of age onward, reduced Sca-1-null femoral BMD was observed alongside reduced mesenchymal progenitor frequency, and decreased in vitro osteogenic and adipogenic differentiation potential. Sca-1-deficient mice exhibited reduced whole body BMD compared with controls at all time-points analyzed. Although no differences in spinal BMD were observed, Sca-1(-/-) vertebrae exhibited decreased bone formation, with a maximal difference at 7 mo of age, inferior trabecular microarchitecture, and a greater degree of mineralization. At all sites tested, Sca-1-null bones exhibited reduced energy to failure from 5 mo onward. CONCLUSIONS We showed a tight association within Sca-1-null mice between the initiation of stem cell defects and the exacerbation of deficiencies in bone quality at two sites clinically relevant to developing osteoporotic fractures. Sca-1-deficient mice, therefore, provide a novel and useful murine model of age-related osteoporosis, which with additional study, should further our understanding of the mechanisms underlying this increasingly prevalent disease.
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Affiliation(s)
- Christina Holmes
- Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada
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Prior SJ, Roth SM, Wang X, Kammerer C, Miljkovic-Gacic I, Bunker CH, Wheeler VW, Patrick AL, Zmuda JM. Genetic and environmental influences on skeletal muscle phenotypes as a function of age and sex in large, multigenerational families of African heritage. J Appl Physiol (1985) 2007; 103:1121-7. [PMID: 17656630 PMCID: PMC2811418 DOI: 10.1152/japplphysiol.00120.2007] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023] Open
Abstract
The aim of this study was to estimate the heritability of and environmental contributions to skeletal muscle phenotypes (appendicular lean mass and calf muscle cross-sectional area) in subjects of African descent and to determine whether heritability estimates are impacted by sex or age. Body composition was measured by dual-energy X-ray absorptiometry and computed tomography in 444 men and women aged 18 yr and older (mean: 43 yr) from eight large, multigenerational Afro-Caribbean families (family size range: 21-112). Using quantitative genetic methods, we estimated heritability and the association of anthropometric, lifestyle, and medical variables with skeletal muscle phenotypes. In the overall group, we estimated the heritability of lean mass and calf muscle cross-sectional area (h(2) = 0.18-0.23, P < 0.01) and contribution of environmental factors to these phenotypes (r(2) = 0.27-0.55, P < 0.05). In our age-specific analysis, the heritability of leg lean mass was lower in older vs. younger individuals (h(2) = 0.05 vs. 0.23, respectively, P = 0.1). Sex was a significant covariate in our models (P < 0.001), although sex-specific differences in heritability varied depending on the lean mass phenotype analyzed. High genetic correlations (rho(G) = 0.69-0.81; P < 0.01) between different lean mass measures suggest these traits share a large proportion of genetic components. Our results demonstrate the heritability of skeletal muscle traits in individuals of African heritage and that heritability may differ as a function of sex and age. As the loss of skeletal muscle mass is related to metabolic abnormalities, disability, and mortality in older individuals, further research is warranted to identify specific genetic loci that contribute to these traits in general and in a sex- and age-specific manner.
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Affiliation(s)
- Steven J Prior
- Division of Gerontology, University of Maryland School of Medicine, and Baltimore Geriatric Research, Education and Clinical Center, Veterans Affairs Maryland Health Care System, Baltimore, MD 21201, USA.
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Grundberg E, Akesson K, Kindmark A, Gerdhem P, Holmberg A, Mellström D, Ljunggren O, Orwoll E, Mallmin H, Ohlsson C, Brändström H. The impact of estradiol on bone mineral density is modulated by the specific estrogen receptor-alpha cofactor retinoblastoma-interacting zinc finger protein-1 insertion/deletion polymorphism. J Clin Endocrinol Metab 2007; 92:2300-6. [PMID: 17356055 DOI: 10.1210/jc.2006-1572] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/12/2023]
Abstract
CONTEXT Estrogens regulate bone mass by binding to the estrogen receptor (ER)-alpha as well as ER-beta. The specific ERalpha cofactor retinoblastoma-interacting zinc finger protein (RIZ)-1 enhances ERalpha function in the presence of estrogen. OBJECTIVE The objective of the study was to determine whether a RIZ P704 insertion (+)/deletion (-) (indel) polymorphism modulates the impact of estradiol on bone mineral density (BMD) and study the association between the polymorphism and BMD in elderly subjects. DESIGN This was a population-based, prospective, and cross-sectional study, the Swedish MrOS Study, and the Malmö OPRA Study, respectively. SETTING The study was conducted at three academic medical centers: Sahlgrenska Academy in Gothenburg, Malmö University Hospital, and Uppsala University Hospital. PARTICIPANTS In total, 4058 men and women, aged 69-81 yr, were randomly selected from population registries. MAIN OUTCOME MEASURES BMD (grams per square centimeter) was measured at femoral neck, trochanter, lumbar spine, and total body. RESULTS The RIZ P704(+/+) genotype was associated with low BMD in both women (femoral neck, P < 0.001; trochanter, P < 0.01; lumbar spine, P < 0.05; total body, P < 0.01) and men (lumbar spine, P < 0.05). However, the association between the polymorphism and BMD was dependent on estradiol status. The positive correlation between serum estradiol and BMD was significantly modulated by the genotype with a stronger correlation in the P704(+/+) group than the P704(-/-) group (r = 0.19 vs. r = 0.08, P < 0.05). CONCLUSIONS These large-scale studies of elderly men and women indicate that the ERalpha cofactor RIZ gene has a prominent effect on BMD, and the P704 genotype modulates the impact of estradiol on BMD. Further studies are required to determine whether this polymorphism modulates the estrogenic response to estradiol treatment.
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Affiliation(s)
- Elin Grundberg
- Department of Medical Sciences, Uppsala University Hospital, Ing 70, 3 tr, Uppsala, Sweden.
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Pelat C, Van Pottelbergh I, Cohen-Solal M, Ostertag A, Kaufman JM, Martinez M, de Vernejoul MC. Complex segregation analysis accounting for GxE of bone mineral density in European pedigrees selected through a male proband with low BMD. Ann Hum Genet 2007; 71:29-42. [PMID: 17227475 DOI: 10.1111/j.1469-1809.2006.00295.x] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Osteoporosis is a common multifactorial disorder characterized by low bone mass (BMD) and high susceptibility to low-trauma fractures. Family and twin studies have found a strong genetic component in the determination of BMD, but the mode of inheritance of this trait is not yet fully understood. BMD is a complex trait whose expression is confounded by environmental influences and polygenic inheritance. Detection of potential gene-environment interactions is of great interest in the determination of bone health status. Here we have conducted segregation analyses, using the regressive class D models, in a sample of 100 European pedigrees (NEMO) with 713 subjects (524 measured for phenotypes) identified via a male with low BMD values at either the Lumbar Spine or the Femoral Neck. Segregation analyses were conducted on the residuals of LS-BMD and FN-BMD adjusted for gender, age and BMI. We tested for gene-covariate (GxE) interactions, and investigated the impact of significant GxE interactions on segregation results. Without GxE a major effect was found to be marginally significant in LS-BMD and highly significant in FN-BMD. For both traits the Mendelian hypothesis was rejected. Significant Age x gene and BMI x gene interactions were revealed. Accounting for GxE increased statistical evidence for a major factor in LS-BMD, and improved the fit of the data to the Mendelian transmission model for both traits. The best fitting models suggested a codominant major gene accounting for 45% (LS-BMD) and 44% (FN-BMD) of the adjusted BMDs. However, substantial residual correlations were also found, and these remained highly significant after accounting for the major gene.
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Affiliation(s)
- C Pelat
- INSERM EMI00-06, Evry, France
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