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Lin B, Pan L, He H, Hu Y, Tu J, Zhang L, Cui Z, Ren X, Wang X, Nai J, Shan G. Heritability and genetic correlations of obesity indices and cardiometabolic traits in the Northern Chinese families. Ann Hum Genet 2024. [PMID: 39239922 DOI: 10.1111/ahg.12578] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2024] [Revised: 08/11/2024] [Accepted: 08/21/2024] [Indexed: 09/07/2024]
Abstract
OBJECTIVE This study aimed to investigate the heritability of various obesity indices and their shared genetic factors with cardiometabolic traits in the Chinese nuclear family. METHODS A total of 1270 individuals from 538 nuclear families were included in this cross-sectional study. Different indices were used to quantify fat mass and distribution, including body index mass (BMI), visceral fat index (VFI), and body fat percent (BFP). Heritability and genetic correlations for all quantitative traits were estimated using variance component models. The susceptibility-threshold model was utilized to estimate the heritability for binary traits. RESULTS Heritability estimates for obesity indices were highest for BMI (59%), followed by BFP (49%), and VFI (40%). Heritability estimates for continuous cardiometabolic traits varied from 24% to 50%. All obesity measures exhibited consistently significant positive genetic correlations with blood pressure, fasting blood glucose, and uric acid (rG range: 0.26-0.57). However, diverse genetic correlations between various obesity indices and lipid profiles were observed. Significant genetic correlations were limited to specific pairs: BFP and total cholesterol (rG = 0.24), BFP and low-density lipoprotein cholesterol (rG = 0.25), and VFI and triglyceride (rG = 0.33). CONCLUSION The genetic overlap between various obesity indices and cardiometabolic traits underscores the importance of pleiotropic genes. Further studies are warranted to investigate specific shared genetic and environmental factors between obesity and cardiometabolic diseases.
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Affiliation(s)
- Binbin Lin
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, Beijing, China
- State Key Laboratory of Common Mechanism Research for Major Diseases, Beijing, China
| | - Li Pan
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, Beijing, China
- State Key Laboratory of Common Mechanism Research for Major Diseases, Beijing, China
| | - Huijing He
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, Beijing, China
- State Key Laboratory of Common Mechanism Research for Major Diseases, Beijing, China
| | - Yaoda Hu
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, Beijing, China
- State Key Laboratory of Common Mechanism Research for Major Diseases, Beijing, China
| | - Ji Tu
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, Beijing, China
- State Key Laboratory of Common Mechanism Research for Major Diseases, Beijing, China
| | - Ling Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
| | - Ze Cui
- Department of Chronic and Noncommunicable Disease Prevention and Control, Hebei Provincial Center for Disease Control and Prevention, Shijiazhuang, Hebei, China
| | - Xiaolan Ren
- Department of Chronic and Noncommunicable Disease Prevention and Control, Gansu Provincial Center for Disease Control and Prevention, Lanzhou, Gansu, China
| | - Xianghua Wang
- Institute of Biomedical Engineering, Chinese Academy of Medical Sciences, Tianjin, China
| | - Jing Nai
- Clinical Laboratory, Beijing Hepingli Hospital, Beijing, China
| | - Guangliang Shan
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, Beijing, China
- State Key Laboratory of Common Mechanism Research for Major Diseases, Beijing, China
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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Gong Y, Yang J, Li X, Zhou C, Chen Y, Wang Z, Qiu X, Liu Y, Zhang H, Greenbaum J, Cheng L, Hu Y, Xie J, Yang X, Li Y, Bai Y, Wang YP, Chen Y, Tan LJ, Shen H, Xiao HM, Deng HW. A systematic dissection of human primary osteoblasts in vivo at single-cell resolution. Aging (Albany NY) 2021; 13:20629-20650. [PMID: 34428745 PMCID: PMC8436943 DOI: 10.18632/aging.203452] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Accepted: 06/19/2021] [Indexed: 12/12/2022]
Abstract
Human osteoblasts are multifunctional bone cells, which play essential roles in bone formation, angiogenesis regulation, as well as maintenance of hematopoiesis. However, the categorization of primary osteoblast subtypes in vivo in humans has not yet been achieved. Here, we used single-cell RNA sequencing (scRNA-seq) to perform a systematic cellular taxonomy dissection of freshly isolated human osteoblasts from one 31-year-old male with osteoarthritis and osteopenia after hip replacement. Based on the gene expression patterns and cell lineage reconstruction, we identified three distinct cell clusters including preosteoblasts, mature osteoblasts, and an undetermined rare osteoblast subpopulation. This novel subtype was found to be the major source of the nuclear receptor subfamily 4 group A member 1 and 2 (NR4A1 and NR4A2) in primary osteoblasts, and the expression of NR4A1 was confirmed by immunofluorescence staining on mouse osteoblasts in vivo. Trajectory inference analysis suggested that the undetermined cluster, together with the preosteoblasts, are involved in the regulation of osteoblastogenesis and also give rise to mature osteoblasts. Investigation of the biological processes and signaling pathways enriched in each subpopulation revealed that in addition to bone formation, preosteoblasts and undetermined osteoblasts may also regulate both angiogenesis and hemopoiesis. Finally, we demonstrated that there are systematic differences between the transcriptional profiles of human and mouse osteoblasts, highlighting the necessity for studying bone physiological processes in humans rather than solely relying on mouse models. Our findings provide novel insights into the cellular heterogeneity and potential biological functions of human primary osteoblasts at the single-cell level.
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MESH Headings
- Adult
- Animals
- Cell Differentiation
- Cells, Cultured
- Humans
- Male
- Mice
- Nuclear Receptor Subfamily 4, Group A, Member 1/genetics
- Nuclear Receptor Subfamily 4, Group A, Member 1/metabolism
- Nuclear Receptor Subfamily 4, Group A, Member 2/genetics
- Nuclear Receptor Subfamily 4, Group A, Member 2/metabolism
- Osteoblasts/cytology
- Osteoblasts/metabolism
- Sequence Analysis, RNA
- Single-Cell Analysis
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Affiliation(s)
- Yun Gong
- Tulane Center for Biomedical Informatics and Genomics, Deming Department of Medicine, School of Medicine, Tulane University, New Orleans, LA 70112, USA
| | - Junxiao Yang
- Department of Orthopedics, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Xiaohua Li
- Laboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University, Changsha 410081, China
| | - Cui Zhou
- Laboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University, Changsha 410081, China
| | - Yu Chen
- Laboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University, Changsha 410081, China
| | - Zun Wang
- Xiangya Nursing School, Central South University, Changsha 410013, China
| | - Xiang Qiu
- School of Basic Medical Science, Central South University, Changsha 410008, China
| | - Ying Liu
- Laboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University, Changsha 410081, China
| | - Huixi Zhang
- Laboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University, Changsha 410081, China
| | - Jonathan Greenbaum
- Tulane Center for Biomedical Informatics and Genomics, Deming Department of Medicine, School of Medicine, Tulane University, New Orleans, LA 70112, USA
| | - Liang Cheng
- Department of Orthopedics and National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Yihe Hu
- Department of Orthopedics, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Jie Xie
- Department of Orthopedics, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Xuecheng Yang
- Department of Orthopedics, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Yusheng Li
- Department of Orthopedics, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Yuntong Bai
- Tulane Center for Bioinformatics and Genomics, Department of Biomedical Engineering, Tulane University, New Orleans, LA 70112, USA
| | - Yu-Ping Wang
- Tulane Center for Bioinformatics and Genomics, Department of Biomedical Engineering, Tulane University, New Orleans, LA 70112, USA
| | - Yiping Chen
- Department of Cell and Molecular Biology, School of Science and Engineering, Tulane University, New Orleans, LA 70112, USA
| | - Li-Jun Tan
- Laboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University, Changsha 410081, China
| | - Hui Shen
- Tulane Center for Biomedical Informatics and Genomics, Deming Department of Medicine, School of Medicine, Tulane University, New Orleans, LA 70112, USA
| | - Hong-Mei Xiao
- Center of Reproductive Health, System Biology and Data Information, Institute of Reproductive and Stem Cell Engineering, School of Basic Medical Science, Central South University, Changsha 410081, China
- School of Basic Medical Science, Central South University, Changsha 410008, China
| | - Hong-Wen Deng
- Tulane Center for Biomedical Informatics and Genomics, Deming Department of Medicine, School of Medicine, Tulane University, New Orleans, LA 70112, USA
- School of Basic Medical Science, Central South University, Changsha 410008, China
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Shi SQ, Li SS, Zhang XY, Wei Z, Fu WZ, He JW, Hu YQ, Li M, Zheng LL, Zhang ZL. LGR4 Gene Polymorphisms Are Associated With Bone and Obesity Phenotypes in Chinese Female Nuclear Families. Front Endocrinol (Lausanne) 2021; 12:656077. [PMID: 34707566 PMCID: PMC8544421 DOI: 10.3389/fendo.2021.656077] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Accepted: 06/14/2021] [Indexed: 12/28/2022] Open
Abstract
OBJECTIVE The current study was conducted to determine whether peak bone mineral density (BMD) and obesity phenotypes are associated with certain LGR4 gene polymorphisms found in Chinese nuclear families with female children. METHODS A total of 22 single nucleotide polymorphisms (SNPs) located in and around the LGR4 gene were identified in 1,300 subjects who were members of 390 Chinese nuclear families with female children. Then, BMD readings of the femoral neck, total hip, and lumbar spine as well as measurements of the total lean mass (TLM), total fat mass (TFM), and trunk fat mass were obtained via dual-energy X-ray absorptiometry. The quantitative transmission disequilibrium test was used to analyze the associations between specific SNPs and LGR4 haplotypes and peak BMD as well as between LGR4 haplotypes and TLM, percent lean mass, TFM, percent fat mass, trunk fat mass, and body mass index (BMI). RESULTS Here, rs7936621 was significantly associated with the BMD values for the total hip and lumbar spine, while rs10835171 and rs6484295 were associated with the trunk fat mass and BMI, respectively. Regarding the haplotypes, we found significant associations between GAA in block 2 and trunk fat mass and BMI, between AGCGT in block 3 and total hip BMD, between TGCTCC in block 5 and femoral neck BMD, and between TACTTC in block 5 and both lumbar spine and femoral neck BMD (all P-values < 0.05). CONCLUSION Genetic variations of the LGR4 gene are related to peak BMD, BMI, and trunk fat mass.
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Affiliation(s)
- Su-qin Shi
- Department of Endocrinology, The First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, China
- Metabolic Bone Disease and Genetic Research Unit, Department of Osteoporosis and Bone Disease, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China
| | - Shan-shan Li
- Metabolic Bone Disease and Genetic Research Unit, Department of Osteoporosis and Bone Disease, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China
| | - Xiao-ya Zhang
- Metabolic Bone Disease and Genetic Research Unit, Department of Osteoporosis and Bone Disease, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China
| | - Zhe Wei
- Metabolic Bone Disease and Genetic Research Unit, Department of Osteoporosis and Bone Disease, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China
| | - Wen-zhen Fu
- Metabolic Bone Disease and Genetic Research Unit, Department of Osteoporosis and Bone Disease, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China
| | - Jin-wei He
- Metabolic Bone Disease and Genetic Research Unit, Department of Osteoporosis and Bone Disease, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China
| | - Yun-qiu Hu
- Metabolic Bone Disease and Genetic Research Unit, Department of Osteoporosis and Bone Disease, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China
| | - Miao Li
- Metabolic Bone Disease and Genetic Research Unit, Department of Osteoporosis and Bone Disease, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China
| | - Li-li Zheng
- Department of Endocrinology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- *Correspondence: Zhen-lin Zhang, ; Li-li Zheng,
| | - Zhen-lin Zhang
- Metabolic Bone Disease and Genetic Research Unit, Department of Osteoporosis and Bone Disease, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China
- *Correspondence: Zhen-lin Zhang, ; Li-li Zheng,
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The impact of diet, body composition, and physical activity on child bone mineral density at five years of age-findings from the ROLO Kids Study. Eur J Pediatr 2020; 179:121-131. [PMID: 31673780 PMCID: PMC6942579 DOI: 10.1007/s00431-019-03465-x] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2019] [Revised: 09/05/2019] [Accepted: 09/06/2019] [Indexed: 12/11/2022]
Abstract
Bone health is extremely important in early childhood because children with low bone mineral density (BMD) are at a greater risk of bone fractures. While physical activity and intake of both calcium and vitamin D benefit BMD in older children, there is limited research on the determinants of good bone health in early childhood. The aim of this cross-sectional study was to investigate the impact of diet, physical activity, and body composition on BMD at five years of age. Dietary intakes and physical activity levels were measured through questionnaires. Whole body BMD was measured by dual-energy X-ray absorptiometry in 102 children. Child weight, height, circumferences, skinfolds and serum 25-hydroxyvitamin D (25OHD) concentrations were assessed. There was no association between BMD and dietary calcium, dietary vitamin D, 25OHD, physical activity, or sedentary behaviour. Several measures of body composition were significantly positively associated with BMD; however, neither fat mass nor lean body mass was associated with BMD.Conclusion: Although we found no association between self-reported dietary and lifestyle factors and bone health in early years, increased body size was linked with higher BMD. These findings are important as identifying modifiable factors that can improve bone health at a young age is of utmost importance.What is Known:• Bone health is extremely important in early childhood, as children with low bone mineral density (BMD) are at greater risk of bone fractures.• Physical activity has been found to be beneficial for bone health in adolescents, and body composition has also been associated with BMD in teenage years.• Limited research on the determinants of good bone health in early childhood.What is New:• No association between self-reported lifestyle and dietary factors with bone health in early childhood.• Increased body size was associated with higher BMD at five years of age.
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Hu Y, Tan LJ, Chen XD, Liu Z, Min SS, Zeng Q, Shen H, Deng HW. Identification of Novel Potentially Pleiotropic Variants Associated With Osteoporosis and Obesity Using the cFDR Method. J Clin Endocrinol Metab 2018; 103:125-138. [PMID: 29145611 PMCID: PMC6061219 DOI: 10.1210/jc.2017-01531] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2017] [Accepted: 10/12/2017] [Indexed: 01/10/2023]
Abstract
CONTEXT Genome-wide association studies (GWASs) have been successful in identifying loci associated with osteoporosis and obesity. However, the findings explain only a small fraction of the total genetic variance. OBJECTIVE The aim of this study was to identify novel pleiotropic genes important in osteoporosis and obesity. DESIGN AND SETTING A pleiotropic conditional false discovery rate method was applied to three independent GWAS summary statistics of femoral neck bone mineral density, body mass index, and waist-to-hip ratio. Next, differential expression analysis was performed for the potentially pleiotropic genes, and weighted genes coexpression network analysis (WGCNA) was conducted to identify functional connections between the suggested pleiotropic genes and known osteoporosis/obesity genes using transcriptomic expression data sets in osteoporosis/obesity-related cells. RESULTS We identified seven potentially pleiotropic loci-rs3759579 (MARK3), rs2178950 (TRPS1), rs1473 (PUM1), rs9825174 (XXYLT1), rs2047937 (ZNF423), rs17277372 (DNM3), and rs335170 (PRDM6)-associated with osteoporosis and obesity. Of these loci, the PUM1 gene was differentially expressed in osteoporosis-related cells (B lymphocytes) and obesity-related cells (adipocytes). WGCNA showed that PUM1 positively interacted with several known osteoporosis genes (AKAP11, JAG1, and SPTBN1). ZNF423 was the highly connected intramodular hub gene and interconnected with 21 known osteoporosis-related genes, including JAG1, EN1, and FAM3C. CONCLUSIONS Our study identified seven potentially pleiotropic genes associated with osteoporosis and obesity. The findings may provide new insights into a potential genetic determination and codetermination mechanism of osteoporosis and obesity.
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Affiliation(s)
- Yuan Hu
- Laboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University, Changsha, Hunan, China
| | - Li-Jun Tan
- Laboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University, Changsha, Hunan, China
| | - Xiang-Ding Chen
- Laboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University, Changsha, Hunan, China
| | - Zhen Liu
- Laboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University, Changsha, Hunan, China
| | - Shi-Shi Min
- Laboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University, Changsha, Hunan, China
| | - Qin Zeng
- Laboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University, Changsha, Hunan, China
| | - Hui Shen
- Center for Bioinformatics and Genomics, School of Public Health and Tropical Medicine, Tulane University, New Orleans, Louisiana
| | - Hong-Wen Deng
- Laboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University, Changsha, Hunan, China
- Center for Bioinformatics and Genomics, School of Public Health and Tropical Medicine, Tulane University, New Orleans, Louisiana
- Correspondence and Reprint Requests: Hong-Wen Deng, PhD, Department of Global Biostatistics and Data Science, School of Public Health and Tropical Medicine, Tulane University, 1440 Canal Street, Suite 1610, New Orleans, Louisiana 70112. E-mail:
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Purinergic P2X7 receptor functional genetic polymorphisms are associated with the susceptibility to obesity in Chinese postmenopausal women. Menopause 2017; 25:329-335. [PMID: 29088017 DOI: 10.1097/gme.0000000000000991] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
OBJECTIVE We conducted a case-control study to investigate the associations of functional single-nucleotide polymorphisms in the purinergic P2X7 receptor (P2X7R) gene (rs2393799, rs7958311, rs1718119, rs2230911, and rs3751143) with obesity and overweight in a population of Chinese postmenopausal women. METHODS Our study included 180 obese women, 179 overweight women, and 204 controls. All participants were genotyped at the P2X7R rs2393799, rs7958311, rs1718119, rs2230911, and rs3751143 loci via allele-specific polymerase chain reaction (PCR) and PCR-restriction fragment length polymorphism procedures. The relationships between P2X7R genetic polymorphisms and their associated haplotypes with obesity (body mass index [BMI] ≥30 kg/m] and overweight (25 kg/m ≤ BMI < 30 kg/m) were evaluated. RESULTS Our results showed that P2X7R rs2230911G and rs1718119A were associated with an increased risk of obesity; in particular, both carriers of the rs2230911G allele and GG/(CG + GG) genotypes (G vs C, P < 0.001, odds ratio [OR] 2.87, 95% confidence interval [CI] 1.98-4.16; GG vs CC, P < 0.001, OR 8.76, 95% CI 3.29-23.35; CG + GG vs CC, P < 0.001, OR 2.54, 95% CI 1.63-3.95) and carriers of the rs17181191A allele and GA/(GA + AA) genotypes (A vs G, P < 0.001, OR 2.97, 95% CI 1.86-4.74; GA vs GG, P = 0.001, OR 2.72, 95% CI 1.55-4.79; GA + AA vs GG, P < 0.001, OR 3.05, 95% CI 1.79-5.19) were at a higher risk of obesity. No association with obesity or overweight was observed for the other three P2X7R polymorphisms (rs2393799, rs7958311, and rs3751143). Haplotype analysis indicated that P2X7R rs1718119A-rs2230911G-rs3751143C appeared to be a significant risk haplotype with obesity (P = 0.0005, OR 2.37, 95% CI 1.45-3.90). CONCLUSIONS P2X7R functional genetic polymorphisms and their estimated haplotypes are associated with obesity in Chinese postmenopausal women.
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Choi HS, Park JH, Kim SH, Shin S, Park MJ. Strong familial association of bone mineral density between parents and offspring: KNHANES 2008-2011. Osteoporos Int 2017; 28:955-964. [PMID: 27747365 DOI: 10.1007/s00198-016-3806-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2016] [Accepted: 10/06/2016] [Indexed: 01/12/2023]
Abstract
UNLABELLED Bone mineral density (BMD) of offspring was significantly associated with their parents' BMD. Parental BMD Z-score ≤-1 was a significant predictor for BMD Z-score ≤-1 in their offspring. Peak bone mass acquisition during early adulthood is more substantially influenced by genetic factors rather than lifestyle or environmental factors. INTRODUCTION A person's BMD is affected by both genetic and environmental factors. Family history of osteoporosis or fragility fracture is a well-known risk factor for low bone mass or fracture. The purpose of the present study was to investigate the familial association of BMD between parents and offspring in Korean population. METHODS This is a cross-sectional study based on the data from the Korea National Health and Nutrition Examination Surveys (KNHANES) conducted from 2008 to 2011. A total of 5947 subjects (3135 parents and 2812 offspring) were included. RESULTS In age-adjusted partial correlation analyses, all BMD values acquired from the lumbar spine, femur neck, total hip, and whole body showed significant associations between parents and offspring. Among these associations, whole-body BMD showed the strongest relationship between offspring and parents. The narrow-sense heritability of BMD ranged from 0.203 to 0.542 in male offspring and from 0.396 to 0.689 in female offspring. Multiple linear regression analyses showed that offspring's BMD was independently associated with BMD of both parents after adjusting for covariates. Lifestyle or environmental factors including dietary calcium intake, serum 25-hydroxyvitamin D level, regular exercise, current smoking, and alcohol intake showed only moderate or no associations with BMD. In multiple logistic regression analyses in offspring aged 19-25 years, the son's risk of having BMD Z-score ≤-1 was associated with both parents' BMD Z-score ≤-1, while the daughter's risk was only associated with maternal BMD Z-score ≤-1. CONCLUSIONS Our findings confirm the strong familial association of BMD between parents and offspring in Korean population and suggest that peak bone mass acquisition during early adulthood is more substantially influenced by genetic factors rather than lifestyle or environmental factors.
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Affiliation(s)
- H S Choi
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Dongguk University Ilsan Hospital, Koyang, Gyeonggi-do, Korea
| | - J H Park
- Department of Statistics, Dongguk University, Seoul, Korea
| | - S H Kim
- Department of Pediatrics, Sanggye Paik Hospital, Inje University College of Medicine, 761-1 Sanggye-7-dong, Nowon-gu, Seoul, 139-707, Korea
| | - S Shin
- Department of Preventive Medicine, Seoul National University College of Medicine, 102 Daehak-ro, Jongro-gu, Seoul, 03080, Korea
- Institute of Environmental Medicine, Seoul National University Medical Research Center, 102 Daehak-ro, Jongro-gu, Seoul, 03080, Korea
| | - M J Park
- Department of Pediatrics, Sanggye Paik Hospital, Inje University College of Medicine, 761-1 Sanggye-7-dong, Nowon-gu, Seoul, 139-707, Korea.
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Mullin BH, Walsh JP, Zheng HF, Brown SJ, Surdulescu GL, Curtis C, Breen G, Dudbridge F, Richards JB, Spector TD, Wilson SG. Genome-wide association study using family-based cohorts identifies the WLS and CCDC170/ESR1 loci as associated with bone mineral density. BMC Genomics 2016; 17:136. [PMID: 26911590 PMCID: PMC4766752 DOI: 10.1186/s12864-016-2481-0] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2015] [Accepted: 02/17/2016] [Indexed: 12/26/2022] Open
Abstract
Background Osteoporosis is a common and debilitating bone disease that is characterised by a low bone mineral density (BMD), a highly heritable trait. Genome-wide association studies (GWAS) have proven to be very successful in identifying common genetic variants associated with BMD adjusted for age, gender and weight, however a large portion of the genetic variance for this trait remains unexplained. There is evidence to suggest significant genetic correlation between body size traits and BMD. It has also recently been suggested that unintended bias can be introduced as a result of adjusting a phenotype for a correlated trait. We performed a GWAS meta-analysis in two populations (total n = 6,696) using BMD data adjusted for only age and gender, in an attempt to identify genetic variants associated with BMD including those that may have potential pleiotropic effects on BMD and body size traits. Results We observed a single variant, rs2566752, associated with spine BMD at the genome-wide significance level in the meta-analysis (P = 3.36 × 10−09). Logistic regression analysis also revealed an association between rs2566752 and fracture rate in one of our study cohorts (P = 0.017, n = 5,654). This is an intronic variant located in the wntless Wnt ligand secretion mediator (WLS) gene (1p31.3), a known BMD locus which encodes an integral component of the Wnt ligand secretion pathway. Bioinformatics analyses of variants in moderate LD with rs2566752 produced strong evidence for a regulatory role for the variants rs72670452, rs17130567 and rs1430738. Expression quantitative trait locus (eQTL) analysis suggested that the variants rs12568456 and rs17130567 are associated with expression of the WLS gene in whole blood, cerebellum and temporal cortex brain tissue (P = 0.034–1.19 × 10−23). Gene-wide association testing using the VErsatile Gene-based Association Study 2 (VEGAS2) software revealed associations between the coiled-coil domain containing 170 (CCDC170) gene, located adjacent to the oestrogen receptor 1 (ESR1) gene, and BMD at the spine, femoral neck and total hip sites (P = 1.0 × 10−06, 2.0 × 10−06 and 2.0 × 10−06 respectively). Conclusions Genetic variation at the WLS and CCDC170/ESR1 loci were found to be significantly associated with BMD adjusted for only age and gender at the genome-wide level in this meta-analysis.
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Affiliation(s)
- Benjamin H Mullin
- Department of Endocrinology & Diabetes, Sir Charles Gairdner Hospital, Nedlands, Western Australia. .,School of Medicine and Pharmacology, University of Western Australia, Nedlands, Western Australia.
| | - John P Walsh
- Department of Endocrinology & Diabetes, Sir Charles Gairdner Hospital, Nedlands, Western Australia. .,School of Medicine and Pharmacology, University of Western Australia, Nedlands, Western Australia.
| | - Hou-Feng Zheng
- Institute of Aging Research, School of Medicine, Hangzhou Normal University, and the Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang, China.
| | - Suzanne J Brown
- Department of Endocrinology & Diabetes, Sir Charles Gairdner Hospital, Nedlands, Western Australia.
| | - Gabriela L Surdulescu
- Department of Twin Research & Genetic Epidemiology, King's College London, London, UK.
| | - Charles Curtis
- MRC Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK. .,NIHR Biomedical Research Centre for Mental Health, Maudsley Hospital and Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
| | - Gerome Breen
- MRC Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK. .,NIHR Biomedical Research Centre for Mental Health, Maudsley Hospital and Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
| | - Frank Dudbridge
- Department of Non-communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK.
| | - J Brent Richards
- Department of Twin Research & Genetic Epidemiology, King's College London, London, UK. .,Departments of Medicine, Human Genetics, Epidemiology and Biostatistics, Jewish General Hospital, Lady Davis Institute, McGill University, Montreal, Canada.
| | - Tim D Spector
- Department of Twin Research & Genetic Epidemiology, King's College London, London, UK.
| | - Scott G Wilson
- Department of Endocrinology & Diabetes, Sir Charles Gairdner Hospital, Nedlands, Western Australia. .,School of Medicine and Pharmacology, University of Western Australia, Nedlands, Western Australia. .,Department of Twin Research & Genetic Epidemiology, King's College London, London, UK.
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9
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Lee CNY, Lam SC, Tsang AYK, Ng BTY, Leung JCY, Chong ACY. Preliminary investigation on prevalence of osteoporosis and osteopenia: Should we tune our focus on healthy adults? Jpn J Nurs Sci 2014; 12:232-48. [PMID: 25407117 DOI: 10.1111/jjns.12063] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2014] [Accepted: 09/16/2014] [Indexed: 12/20/2022]
Abstract
AIM Osteoporosis and osteopenia are global health problems with increasing trend, particularly in developed regions. Apart from traditional well-recognized high-risk groups (i.e. postmenopausal women and elders), prevalence of such problems among adults should not be ignored because of the advantages of early detection and health promotion. Therefore, this preliminary study aims to investigate the prevalence of osteoporosis and osteopenia among adult office workers, which represented a relatively large proportion of the population in urbanized cities. METHODS An GE-Lunar Achilles ultrasonometer was used to screen the bone mineral density (BMD) of 80 participants. RESULTS The BMD T-score ranged from -3 to 3.5. The majority of the participants had normal BMD result (T-score, ≥ -1), whereas 35% was classified as abnormal (T-score, < -1) including 31.3% osteopenia and 3.8% osteoporosis. CONCLUSION High prevalence rate of abnormal BMD among healthy adults should be further studied in this population. The findings also suggest that the current ignorance in adulthood may increase the prevalence of osteoporotic fractures in the future.
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Affiliation(s)
- Cathy Nga Yan Lee
- Division of Nursing and Health Studies, School of Science and Technology, The Open University of Hong Kong, Hong Kong, China
| | - Simon Ching Lam
- Division of Nursing and Health Studies, School of Science and Technology, The Open University of Hong Kong, Hong Kong, China
| | - Alan Yat Kwan Tsang
- Division of Nursing and Health Studies, School of Science and Technology, The Open University of Hong Kong, Hong Kong, China
| | - Bernadette Ting Yan Ng
- Division of Nursing and Health Studies, School of Science and Technology, The Open University of Hong Kong, Hong Kong, China
| | - Joyce Chung Yin Leung
- Division of Nursing and Health Studies, School of Science and Technology, The Open University of Hong Kong, Hong Kong, China
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10
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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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11
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Garg G, Kumar J, McGuigan FE, Ridderstråle M, Gerdhem P, Luthman H, Åkesson K. Variation in the MC4R gene is associated with bone phenotypes in elderly Swedish women. PLoS One 2014; 9:e88565. [PMID: 24516669 PMCID: PMC3916440 DOI: 10.1371/journal.pone.0088565] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2013] [Accepted: 12/30/2013] [Indexed: 01/01/2023] Open
Abstract
Osteoporosis is characterized by reduced bone mineral density (BMD) and increased fracture risk. Fat mass is a determinant of bone strength and both phenotypes have a strong genetic component. In this study, we examined the association between obesity associated polymorphisms (SNPs) with body composition, BMD, Ultrasound (QUS), fracture and biomarkers (Homocysteine (Hcy), folate, Vitamin D and Vitamin B12) for obesity and osteoporosis. Five common variants: rs17782313 and rs1770633 (melanocortin 4 receptor (MC4R); rs7566605 (insulin induced gene 2 (INSIG2); rs9939609 and rs1121980 (fat mass and obesity associated (FTO) were genotyped in 2 cohorts of Swedish women: PEAK-25 (age 25, n = 1061) and OPRA (age 75, n = 1044). Body mass index (BMI), total body fat and lean mass were strongly positively correlated with QUS and BMD in both cohorts (r2 = 0.2–0.6). MC4R rs17782313 was associated with QUS in the OPRA cohort and individuals with the minor C-allele had higher values compared to T-allele homozygotes (TT vs. CT vs. CC: BUA: 100 vs. 103 vs. 103; p = 0.002); (SOS: 1521 vs. 1526 vs. 1524; p = 0.008); (Stiffness index: 69 vs. 73 vs. 74; p = 0.0006) after adjustment for confounders. They also had low folate (18 vs. 17 vs. 16; p = 0.03) and vitamin D (93 vs. 91 vs. 90; p = 0.03) and high Hcy levels (13.7 vs 14.4 vs. 14.5; p = 0.06). Fracture incidence was lower among women with the C-allele, (52% vs. 58%; p = 0.067). Variation in MC4R was not associated with BMD or body composition in either OPRA or PEAK-25. SNPs close to FTO and INSIG2 were not associated with any bone phenotypes in either cohort and FTO SNPs were only associated with body composition in PEAK-25 (p≤0.001). Our results suggest that genetic variation close to MC4R is associated with quantitative ultrasound and risk of fracture.
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Affiliation(s)
- Gaurav Garg
- Clinical and Molecular Osteoporosis Research Unit, Department of Clinical Sciences, Lund University and Department of Orthopaedics, Skåne University Hospital, Malmö, Sweden
| | - Jitender Kumar
- Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Fiona E. McGuigan
- Clinical and Molecular Osteoporosis Research Unit, Department of Clinical Sciences, Lund University and Department of Orthopaedics, Skåne University Hospital, Malmö, Sweden
| | - Martin Ridderstråle
- Clinical Obesity Research, Department of Endocrinology, Skåne University Hospital, Malmö, Sweden
| | - Paul Gerdhem
- Department of Clinical Science, Intervention and Technology, Karolinska Institutet, Department of Orthopaedics, Karolinska University Hospital, Stockholm, Sweden
| | - Holger Luthman
- Medical Genetics Unit, Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Kristina Åkesson
- Clinical and Molecular Osteoporosis Research Unit, Department of Clinical Sciences, Lund University and Department of Orthopaedics, Skåne University Hospital, Malmö, Sweden
- * E-mail:
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12
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Wagner H, Melhus H, Pedersen NL, Michaëlsson K. Genetic influence on bone phenotypes and body composition: a Swedish twin study. J Bone Miner Metab 2013; 31:681-9. [PMID: 23564006 DOI: 10.1007/s00774-013-0455-8] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/05/2012] [Accepted: 03/13/2013] [Indexed: 01/20/2023]
Abstract
Bone mineral density (BMD), bone size and bone turnover are independent determinants of fractures in elderly. Earlier twin studies of these phenotypes have revealed high heritability for BMD and bone area, and more moderate heritability for bone turnover markers. No previous Scandinavian study has evaluated the genetic and environmental contribution to the variance of these phenotypes, despite the fact that Scandinavian countries have the highest incidence of osteoporotic fractures worldwide. Participants were selected from the Swedish Twin Registry. All intact like-sexed twin pairs born in 1965 or earlier and living in the county of Uppsala were invited to participate. A total of 102 twin pairs (45 monozygotic and 57 dizygotic) accepted the invitation to participate. All twins underwent measurement of BMD and bone area using dual-energy X-ray absorptiometry. Hip geometry was also calculated. Markers for bone formation (osteocalcin) and bone resorption (CrossLaps) were measured in serum. We observed a substantial heritability for BMD at the lumbar spine (0.85; 95 % CI 0.54-0.90), the femoral neck (0.75; 95 % CI 0.62-0.83), and the proximal femur (0.84; 95 % CI 0.74-0.90). The values for bone area were approximately similar to those for BMD. Bone turnover markers had a slightly lower genetic influence with a value of 0.69 (0.53-0.80) for osteocalcin and 0.58 (95 % CI 0.33-0.75) for CrossLaps. As a comparison, the heritabilities of body height and weight were 0.95 and 0.82, respectively. The high heritability on bone phenotypes among Swedish middle-aged and older men and women should encourage further work on the identification of specific genetic pathways. Continuing research in this area could reveal the mechanisms behind the strong genetic susceptibility of bone-related phenotypes.
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Affiliation(s)
- Helene Wagner
- Section of Orthopedics, Department of Surgical Sciences, Uppsala University, S75185, Uppsala, Sweden,
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13
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Méndez JP, Rojano-Mejía D, Coral-Vázquez RM, Coronel A, Pedraza J, Casas MJ, Soriano R, García-García E, Vilchis F, Canto P. Impact of genetic variants of IL-6, IL6R, LRP5, ESR1 and SP7 genes on bone mineral density in postmenopausal Mexican-Mestizo women with obesity. Gene 2013; 528:216-20. [PMID: 23891823 DOI: 10.1016/j.gene.2013.07.008] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2013] [Revised: 05/31/2013] [Accepted: 07/02/2013] [Indexed: 12/25/2022]
Abstract
BACKGROUND Since obesity and osteoporosis present a high genetic predisposition and polymorphisms of IL-6, IL6R, LRP5, ESR1 and SP7 may influence the risk of both diseases, the aim of this study was to analyze the possible association of polymorphisms in these genes, as well as their haplotypes, with BMD variations in postmenopausal Mexican-Mestizo women with grade 2 or grade 3 obesity. METHODS One hundred eighty unrelated postmenopausal women with grade 2 or grade 3 obesity were included. BMD was measured in total hip and lumbar spine by dual-energy X-ray absorptiometry. DNA was obtained from blood leukocytes. Rs1800795 of IL-6, rs2228145 of IL6R, rs3736228 of LRP5, rs9340799 (XbaI) and rs2234693 (PvuII), of ESR1, rs10876432 and rs2016266, of SP7 (and their haplotypes), were studied by real-time PCR allelic discrimination. Deviations from Hardy-Weinberg equilibrium were tested. Pairwise linkage disequilibrium between single nucleotide polymorphisms was calculated by direct correlation r(2), and haplotype analysis was conducted. RESULTS Using WHO criteria, 54.5% had grade 2 obesity, and 45.5% had grade 3 obesity. Regarding DXA results, 11.1% women had osteoporosis, 41.7% had osteopenia, and 47.2% had normal BMD. Genotype and haplotype analysis showed no significant differences with BMD variations at the lumbar spine, total hip or femoral neck. CONCLUSIONS We did not find a significant association between the polymorphisms analyzed or their haplotypes and BMD variations in postmenopausal women with obesity. The higher BMD observed in women with obesity could be the result of an adaptive response to the higher loading of the skeleton.
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Affiliation(s)
- Juan Pablo Méndez
- Unidad de Investigación en Obesidad, Facultad de Medicina, Universidad Nacional Autónoma de México, México, D.F., Mexico
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Feng ZP, Li XY, Jiang R, Deng HC, Yang M, Zhou Q, Que WJ, Du J. Associations of SAA1 gene polymorphism with lipid lelvels and osteoporosis in Chinese women. Lipids Health Dis 2013; 12:39. [PMID: 23522429 PMCID: PMC3702468 DOI: 10.1186/1476-511x-12-39] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2013] [Accepted: 03/15/2013] [Indexed: 12/30/2022] Open
Abstract
Background The development of osteoporosis is associated with several risk factors, such as genetic polymorphisms and enviromental factors. This study assessed the correlation between SAA1 gene rs12218 polymorphism and HDL-C lelvels and osteoporosis in a population of Chinese women. Methods A total of 387 postmenopausal female patients who were diagnosed with osteoporosis (case group) based on bone mineral density measurements via dual-energy x-ray absorptiometry and 307 females with no osteoporosis (control group) were included in this study. Correlations between SAA1 gene rs12218 polymorphism and osteoporosis and HDL-C level were investigated through the identification of SAA1 gene rs12218 polymorphism genotypes using the polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP). Results The TT genotype of rs12218 was more frequently in osteoporosis patients than in control subjects (P <0.001). And the rs12218 was found to be associated with plasma TG, HDL-C, LDL-C, and BMD levels in osteoporosis patients (P<0.05). Conclusions The present results indicate that both osteoporosis and lipids levels are associated with the TT genotype of rs12218 in the human SAA1 gene.
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Affiliation(s)
- Zheng-Ping Feng
- Department of Endocrinology, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China.
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15
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Low-density lipoprotein receptor-related protein 5 gene polymorphisms and genetic susceptibility to abdominal aortic aneurysm. J Vasc Surg 2013; 58:1062-8.e1. [PMID: 23490293 DOI: 10.1016/j.jvs.2012.11.092] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2012] [Revised: 11/16/2012] [Accepted: 11/22/2012] [Indexed: 11/21/2022]
Abstract
BACKGROUND Previous data showed decreased low-density lipoprotein receptor-related protein 5 (LRP5) gene expression in peripheral blood cells of abdominal aortic aneurysm (AAA) patients and an association between decreased expression of LRP5 and increased lipoprotein (a) [Lp(a)] levels in AAA. LRP5 gene is involved in bone, lipid, and glucose metabolism, and experimental studies showed that atherosclerotic lesions of ApoE:LRP5 double knockout mice were ~threefold greater than those in ApoE-knockout mice and were characterized by features of advanced atherosclerosis, with remarkable accumulation of foam cells and destruction of the internal elastic lamina. The aim of this study was to evaluate the role of polymorphisms in LRP5 gene in determining genetic susceptibility to AAA. METHODS A total of 423 AAA patients and 423 controls comparable for sex and age were genotyped for seven polymorphisms within the LRP5 (rs667126, rs3736228, rs4988300, rs3781590, rs312016, rs556442, rs627174) by TaqMan approach. RESULTS Two polymorphisms were significantly associated with AAA: rs4988300, carriers of the T allele in AAA (74.0% vs 65.3% in controls; P = .007); and rs3781590, carriers of the T allele in AAA (66.5% vs 57.4% in controls; P =.009). At the multiple logistic regression analysis, adjusted for age, sex, dyslipidemia, hypertension, smoking habit, and chronic obstructive pulmonary disease, rs4988300 and rs3781590 polymorphisms remained significant and independent determinants of AAA (OR, 1.62; 95% CI, 1.02-2.56; P = .040, and OR, 1.83; 95% CI, 1.17-2.85; P = .008, respectively). We confirmed that AAA patients had significantly higher Lp(a) levels than control subjects (180.0 mg/L vs 107.6 mg/L; P < .0001). The prevalence of patients with Lp(a) levels ≥ 300 mg/L was significantly higher in patient carriers of the rs4988300 T allele than in wild-type patients (42.6% vs 30.8%; P = .048). CONCLUSIONS Present data have identified rs4988300 and rs3781590 LPR5 polymorphisms as independent genetic markers of AAA and underlined the need to concentrate our effort in studying the role of these markers in AAA and of LRP5 gene in Lp(a) catabolism and AAA pathophysiology.
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16
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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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17
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Elks CE, den Hoed M, Zhao JH, Sharp SJ, Wareham NJ, Loos RJF, Ong KK. Variability in the heritability of body mass index: a systematic review and meta-regression. Front Endocrinol (Lausanne) 2012; 3:29. [PMID: 22645519 PMCID: PMC3355836 DOI: 10.3389/fendo.2012.00029] [Citation(s) in RCA: 372] [Impact Index Per Article: 31.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2011] [Accepted: 02/07/2012] [Indexed: 12/28/2022] Open
Abstract
Evidence for a major role of genetic factors in the determination of body mass index (BMI) comes from studies of related individuals. Despite consistent evidence for a heritable component of BMI, estimates of BMI heritability vary widely between studies and the reasons for this remain unclear. While some variation is natural due to differences between populations and settings, study design factors may also explain some of the heterogeneity. We performed a systematic review that identified 88 independent estimates of BMI heritability from twin studies (total 140,525 twins) and 27 estimates from family studies (42,968 family members). BMI heritability estimates from twin studies ranged from 0.47 to 0.90 (5th/50th/95th centiles: 0.58/0.75/0.87) and were generally higher than those from family studies (range: 0.24-0.81; 5th/50th/95th centiles: 0.25/0.46/0.68). Meta-regression of the results from twin studies showed that BMI heritability estimates were 0.07 (P = 0.001) higher in children than in adults; estimates increased with mean age among childhood studies (+0.012/year, P = 0.002), but decreased with mean age in adult studies (-0.002/year, P = 0.002). Heritability estimates derived from AE twin models (which assume no contribution of shared environment) were 0.12 higher than those from ACE models (P < 0.001), whilst lower estimates were associated with self reported versus DNA-based determination of zygosity (-0.04, P = 0.02), and with self reported versus measured BMI (-0.05, P = 0.03). Although the observed differences in heritability according to aspects of study design are relatively small, together, the above factors explained 47% of the heterogeneity in estimates of BMI heritability from twin studies. In summary, while some variation in BMI heritability is expected due to population-level differences, study design factors explained nearly half the heterogeneity reported in twin studies. The genetic contribution to BMI appears to vary with age and may have a greater influence during childhood than adult life.
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Affiliation(s)
- Cathy E. Elks
- Medical Research Council Epidemiology Unit, Institute of Metabolic ScienceCambridge, UK
| | - Marcel den Hoed
- Medical Research Council Epidemiology Unit, Institute of Metabolic ScienceCambridge, UK
| | - Jing Hua Zhao
- Medical Research Council Epidemiology Unit, Institute of Metabolic ScienceCambridge, UK
| | - Stephen J. Sharp
- Medical Research Council Epidemiology Unit, Institute of Metabolic ScienceCambridge, UK
| | - Nicholas J. Wareham
- Medical Research Council Epidemiology Unit, Institute of Metabolic ScienceCambridge, UK
| | - Ruth J. F. Loos
- Medical Research Council Epidemiology Unit, Institute of Metabolic ScienceCambridge, UK
| | - Ken K. Ong
- Medical Research Council Epidemiology Unit, Institute of Metabolic ScienceCambridge, UK
- Department of Paediatrics, University of CambridgeCambridge, UK
- *Correspondence: Ken K. Ong, Medical Research Council Epidemiology Unit, Institute of Metabolic Science, Addenbrooke’s Hospital Box 285, Cambridge CB2 0QQ, UK. e-mail:
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Guo Y, Liu H, Yang TL, Li SM, Li SK, Tian Q, Liu YJ, Deng HW. The fat mass and obesity associated gene, FTO, is also associated with osteoporosis phenotypes. PLoS One 2011; 6:e27312. [PMID: 22125610 PMCID: PMC3220685 DOI: 10.1371/journal.pone.0027312] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2011] [Accepted: 10/13/2011] [Indexed: 01/16/2023] Open
Abstract
Obesity and osteoporosis are closely correlated genetically. FTO gene has been consistently identified to be associated with obesity phenotypes. A recent study reported that the mice lacking Fto could result in lower bone mineral density (BMD). Thus, we hypothesize that the FTO gene might be also important for osteoporosis phenotypes. To test for such a hypothesis, we performed an association analyses to investigate the relationship between SNPs in FTO and BMD at both hip and spine. A total of 141 SNPs were tested in two independent Chinese populations (818 and 809 unrelated Han subjects, respectively) and a Caucasian population (2,286 unrelated subjects). Combining the two Chinese samples, we identified 6 SNPs in FTO to be significantly associated with hip BMD after multiple testing adjustments, with the combined P values ranged from 4.99×10−4–1.47×10−4. These 6 SNPs are all located at the intron 8 of FTO and in high linkage disequilibrium. Each copy of the minor allele of each SNP was associated with increased hip BMD values with the effect size (beta) of ∼0.025 and ∼0.015 in the Chinese sample 1 and 2, respectively. However, none of these 6 SNPs showed significant association signal in the Caucasian sample, by presenting some extent of ethnic difference. Our findings, together with the prior biological evidence, suggest that the FTO gene might be a new candidate for BMD variation and osteoporosis in Chinese populations.
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Affiliation(s)
- Yan Guo
- 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, People's Republic of China
| | - Hui Liu
- Department of Articular Surgery, Xi'an Red Cross Hospital, Xi'an, People's Republic of China
| | - Tie-Lin Yang
- 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, People's Republic of China
- * E-mail: (T-LY) (TY); (H-WD) (HD)
| | - Siyang M. Li
- School of Medicine, University of Missouri - Kansas City, Kansas City, Missouri, United States of America
| | - Siyuan K. Li
- School of Medicine, University of Missouri - Kansas City, Kansas City, Missouri, United States of America
| | - Qing Tian
- School of Public Health and Tropical Medicine, Tulane University, New Orleans, Louisiana, United States of America
| | - Yong-Jun Liu
- School of Public Health and Tropical Medicine, Tulane University, New Orleans, Louisiana, United States of America
| | - Hong-Wen Deng
- School of Public Health and Tropical Medicine, Tulane University, New Orleans, Louisiana, United States of America
- Center of Systematic Biomedical Research, University of Shanghai for Science and Technology, Shanghai, People's Republic of China
- * E-mail: (T-LY) (TY); (H-WD) (HD)
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Livshits G, Popham M, Malkin I, Sambrook PN, Macgregor AJ, Spector T, Williams FMK. Lumbar disc degeneration and genetic factors are the main risk factors for low back pain in women: the UK Twin Spine Study. Ann Rheum Dis 2011; 70:1740-5. [PMID: 21646416 PMCID: PMC3171106 DOI: 10.1136/ard.2010.137836] [Citation(s) in RCA: 322] [Impact Index Per Article: 24.8] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Objective Low back pain (LBP) is a common musculoskeletal disorder, but it is still unclear which individuals develop it. The authors examined the contribution of genetic factors, lumbar disc degeneration (LDD) and other risk factors in a female sample of the general population. Material and Methods A cross-sectional study was conducted among 2256 women (371 and 698 monozygotic and dizygotic twin pairs and 29 sibling pairs and 60 singletons) with a mean age of 50 years (18–84). A self-reported validated questionnaire was used to collect back pain data. Risk factors including body weight, smoking, occupation, physical exercise and MRI assessed LDD were measured. Data analysis included logistic regression and variance decomposition. Results The major factors associated with LBP included genetic background, with OR approximately 6 if the monozygotic co-twin had LBP, or 2.2 if she was a dizygotic co-twin. In addition, LDD and overweight were highly significantly (p<0.001) associated with non-specific LBP. The single most important risk factor was the amount of LDD. After adjustment for other risk factors, the individuals who exhibited advanced LDD (90% vs 10%) had 3.2 higher odds of manifesting LBP. The data also showed a significant (p<0.001) genetic correlation between the LBP and LDD measurements, suggesting that approximately 11–13% of the genetic effects are shared by LDD and LBP. Conclusions The main risk factors for reported episodes of severe and disabling LBP in UK women include the degree of LDD as assessed by MRI, being overweight and genetic heritability.
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Affiliation(s)
- Gregory Livshits
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
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Rojano-Mejía D, Aguilar-Madrid G, López-Medina G, Cortes-Espinosa L, Hernández-Chiu MC, Canto-Cetina T, Vergara-López A, Coral-Vázquez RM, Canto P. Risk factors and impact on bone mineral density in postmenopausal Mexican mestizo women. Menopause 2011; 18:302-6. [DOI: 10.1097/gme.0b013e3181f2d3fb] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
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21
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Abstract
MicroRNAs (miRNAs) regulate posttranscriptional gene expression usually by binding to 3'-untranslated regions (3'-UTRs) of target message RNAs (mRNAs). Hence genetic polymorphisms on 3'-UTRs of mRNAs may alter binding affinity between miRNAs target 3'-UTRs, thereby altering translational regulation of target mRNAs and/or degradation of mRNAs, leading to differential protein expression of target genes. Based on a database that catalogues predicted polymorphisms in miRNA target sites (poly-miRTSs), we selected 568 polymorphisms within 3'-UTRs of target mRNAs and performed association analyses between these selected poly-miRTSs and osteoporosis in 997 white subjects who were genotyped by Affymetrix Human Mapping 500K arrays. Initial discovery (in the 997 subjects) and replication (in 1728 white subjects) association analyses identified three poly-miRTSs (rs6854081, rs1048201, and rs7683093) in the fibroblast growth factor 2 (FGF2) gene that were significantly associated with femoral neck bone mineral density (BMD). These three poly-miRTSs serve as potential binding sites for 9 miRNAs (eg, miR-146a and miR-146b). Further gene expression analyses demonstrated that the FGF2 gene was differentially expressed between subjects with high versus low BMD in three independent sample sets. Our initial and replicate association studies and subsequent gene expression analyses support the conclusion that these three polymorphisms of the FGF2 gene may contribute to susceptibility to osteoporosis, most likely through their effects on altered binding affinity for specific miRNAs.
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Affiliation(s)
- Shu-Feng Lei
- Laboratory of Molecular and Statistical, College of Life Sciences, Hunan Normal University, Changsha, Hunan, People's Republic of China
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Li S, He H, Ding M, He C. The correlation of osteoporosis to clinical features: a study of 4382 female cases of a hospital cohort with musculoskeletal symptoms in southwest China. BMC Musculoskelet Disord 2010; 11:183. [PMID: 20712872 PMCID: PMC2929215 DOI: 10.1186/1471-2474-11-183] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2010] [Accepted: 08/16/2010] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND By analyzing the clinical features and risk factors in female patients with musculoskeletal symptoms of Southwest China, this report presents the initial analysis of characteristics in this region and compared with international evaluative criteria. METHODS Diagnosis of osteoporosis (OP) was made in female hospital patients age > or = 18 years admitted from January 1998 to December 2008 according to WHO definition. Case data were analyzed by symptoms, age, disease course and risk factors to reveal correlation with diagnosis of OP. Logistic regression was used to identify the risks of osteoporosis. RESULTS A total of 4382 patients were included in the analysis of the baseline characteristics, among which 1455 in the OP group and 2927 in the non-OP group. The morbidity of OP is significantly increased in females' > or = 50 years. Both groups had symptoms related to pain and numbness; no significant difference was found in reported upper and lower back pain, or leg pain between two groups (p > 0.05). Neck, shoulder and arm pain, leg and arm numbness were more common in the non-osteoporosis group (p < 0.05, OR < 1, and upper limit of 95% CI of OR < 1). Hypertension, diabetes, hyperostosis were major risk factors for the patients with OP. The most common lifestyle-related risk factors for osteoporosis were smoking, body mass index, lack of physical activity and menopause. CONCLUSIONS The present study offers the first reference data of the relationship between epidemiologic distribution of osteoporosis and associated factors in adults Chinese women. These findings provide a theoretical basis for its prevention and treatment in developing country.
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Affiliation(s)
- Shasha Li
- Department of Rehabilitation Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China
- Province Key Laboratory of Rehabilitation Medicine, Chengdu, Sichuan Province, China
| | - Hongchen He
- Department of Rehabilitation Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China
- Province Key Laboratory of Rehabilitation Medicine, Chengdu, Sichuan Province, China
| | - Mingfu Ding
- Department of Rehabilitation Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China
- Province Key Laboratory of Rehabilitation Medicine, Chengdu, Sichuan Province, China
| | - Chengqi He
- Department of Rehabilitation Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China
- Province Key Laboratory of Rehabilitation Medicine, Chengdu, Sichuan Province, China
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Xiao WJ, He JW, Zhang H, Hu WW, Gu JM, Yue H, Gao G, Yu JB, Wang C, Ke YH, Fu WZ, Zhang ZL. ALOX12 polymorphisms are associated with fat mass but not peak bone mineral density in Chinese nuclear families. Int J Obes (Lond) 2010; 35:378-86. [PMID: 20697415 PMCID: PMC3061002 DOI: 10.1038/ijo.2010.157] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
OBJECTIVE Arachidonate 12-lipoxygenase (ALOX12) is a member of the lipoxygenase superfamily, which catalyzes the incorporation of molecular oxygen into polyunsaturated fatty acids. The products of ALOX12 reactions serve as endogenous ligands for peroxisome proliferator-activated receptor γ (PPARG). The activation of the PPARG pathway in marrow-derived mesenchymal progenitors stimulates adipogenesis and inhibits osteoblastogenesis. Our objective was to determine whether polymorphisms in the ALOX12 gene were associated with variations in peak bone mineral density (BMD) and obesity phenotypes in young Chinese men. METHODS All six tagging single-nucleotide polymorphisms (SNPs) in the ALOX12 gene were genotyped in a total of 1215 subjects from 400 Chinese nuclear families by allele-specific polymerase chain reaction. The BMD at the lumbar spine and hip, total fat mass (TFM) and total lean mass (TLM) were measured using dual-energy X-ray absorptiometry. The pairwise linkage disequilibrium among SNPs was measured, and the haplotype blocks were inferred. Both the individual SNP markers and the haplotypes were tested for an association with the peak BMD, body mass index, TFM, TLM and percentage fat mass (PFM) using the quantitative transmission disequilibrium test (QTDT). RESULTS Using the QTDT, significant within-family association was found between the rs2073438 polymorphism in the ALOX12 gene and the TFM and PFM (P=0.007 and 0.012, respectively). Haplotype analyses were combined with our individual SNP results and remained significant even after correction for multiple testing. However, we failed to find significant within-family associations between ALOX12 SNPs and the BMD at any bone site in young Chinese men. CONCLUSIONS Our present results suggest that the rs2073438 polymorphism of ALOX12 contributes to the variation of obesity phenotypes in young Chinese men, although we failed to replicate the association with the peak BMD variation in this sample. Further independent studies are needed to confirm our findings.
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Affiliation(s)
- W-J Xiao
- Department of Osteoporosis, Metabolic Bone Disease and Genetic Research Unit, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, People's Republic of China
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Li GHY, Kung AWC, Huang QY. Common variants in FLNB/CRTAP, not ARHGEF3 at 3p, are associated with osteoporosis in southern Chinese women. Osteoporos Int 2010; 21:1009-20. [PMID: 19727905 PMCID: PMC2946578 DOI: 10.1007/s00198-009-1043-6] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2009] [Accepted: 07/27/2009] [Indexed: 01/30/2023]
Abstract
SUMMARY We performed an association study of five candidate genes within chromosome 3p14-25 in 1,080 Chinese female subjects. Polymorphisms in FLNB/CRTAP are associated with bone mineral density (BMD) in Chinese. INTRODUCTION Chromosomal region 3p14-25 has shown strong evidence of linkage to BMD in genome-wide linkage scans. The variants responsible for this linkage signal, nonetheless, remain obscure. METHODS Thirty SNPs in five positional and functional candidate genes within 3p14-25 (PPARG, CRTAP, TDGF1, PTHR1, and FLNB) and rs7646054 in the ARHGEF3 gene were genotyped in a case-control cohort of 1,080 Chinese females. Allelic and haplotypic association were tested using logistic regression analysis implemented in PLINK software. Potential transcription factor binding sites were predicted with MatInspector. RESULTS Multiple SNPs and haplotypes in FLNB were significantly associated with BMDs, with the strongest association between lumbar spine BMD and rs9828717 (p = 0.005). SNP rs7623768 and the haplotype G-C of rs4076086-rs7623768 in CRTAP were associated with femoral neck BMD (p = 0.009 and p = 0.003, respectively). PTHR1 showed haplotypic associations with lumbar spine and femoral neck BMD (p = 0.02 and p = 0.044, respectively). Nevertheless, the association between rs7646054 in ARHGEF3 and BMD observed in Caucasians was not replicated in our samples. Comparative genomics analysis indicated that rs9828717 is located within a highly conserved region. The minor T allele at rs9828717 may lead to loss of binding site for nuclear factor of activated T cells which binds and triggers the transcriptional program of osteoblasts. CONCLUSIONS Our data suggest that variants in FLNB and CRTAP at 3p are involved in BMD regulation in southern Chinese.
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Affiliation(s)
- G H Y Li
- Department of Medicine, The University of Hong Kong, Pokfulam, Hong Kong
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Biino G, Casula L, de Terlizzi F, Adamo M, Vaccargiu S, Francavilla M, Loi D, Casti A, Atzori M, Cosso M, Marras F, Cepollaro C, Brandi ML, Pirastu M. Genetic architecture of hand quantitative ultrasound measures: a population-based study in a Sardinian genetic isolate. Bone 2010; 46:1197-203. [PMID: 20004756 DOI: 10.1016/j.bone.2009.11.033] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/23/2009] [Revised: 11/25/2009] [Accepted: 11/26/2009] [Indexed: 01/05/2023]
Abstract
It is now recognized that quantitative ultrasound (QUS) measures may predict osteoporotic fracture risk independently of bone mineral density. Although many studies have examined genetic and environmental components of bone mineral density and calcaneal QUS measures, few of them were addressed to phalangeal QUS phenotypes, and none to graphic trace parameters. This study aims to evaluate the relative contribution of genetics in the expression of phalangeal QUS traits in the adult healthy population of a Sardinian genetic isolate. Our sample includes 6056 men and women aged 30-103 years, from 43 extended pedigrees recruited in 10 villages of Ogliastra region in occasion of a large epidemiologic survey. Amplitude-dependent speed of sound (AD-SoS), fast wave amplitude (FWA), signal dynamic (SDy), bone transmission time (BTT) and ultrasound bone profile index (UBPI) were obtained from the non-dominant hand using the IGEA DBM Sonic Bone Profiler. These phenotypes were first regressed on age, anthropometric and bioimpedance measures, serum calcium, phosphorus and alkaline phosphatase, alcohol and caffeine consumption, smoking status, exercise and also months since menopause and estrogens use in women. Adjusted QUS parameters were then analyzed by univariate and bivariate variance component models to obtain heritability estimates and genetic and environmental correlations. QUS parameters were correlated to age, anthropometric and bioimpedance measures, serum phosphorus, alkaline phosphatase and to reproductive history and menopause in women. All phenotypes demonstrated substantial heritabilities ranging from 0.29+/-0.03 for SDy to 0.55+/-0.03 for FWA. Proportion of variance due to all covariates ranged from 36% for SDy to 59% for BTT. Many significant genetic and environmental correlations were found between the different QUS measures. In this study, genetic factors appear to play a relevant role in determining hand QUS measures even when taking into account various important environmental factors. Furthermore, the modest genetic correlations may imply the existence of partially unique sets of genes affecting different QUS traits, thus suggesting that QUS parameters measure different properties of bone tissue.
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Affiliation(s)
- Ginevra Biino
- Institute of Population Genetics, National Council of Research, Sassari, Italy.
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Cheung CYY, Tso AWK, Cheung BMY, Xu A, Ong KL, Fong CHY, Wat NMS, Janus ED, Sham PC, Lam KSL. Obesity susceptibility genetic variants identified from recent genome-wide association studies: implications in a chinese population. J Clin Endocrinol Metab 2010; 95:1395-403. [PMID: 20061430 DOI: 10.1210/jc.2009-1465] [Citation(s) in RCA: 71] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
CONTEXT Recent large-scale genome-wide association studies identified novel genetic variants associated with obesity and body mass index (BMI) in addition to the well-described FTO and MC4R genetic variants. OBJECTIVE This study aimed to examine 13 previously reported obesity and/or BMI-associated loci for associations with obesity in Chinese. DESIGN AND STUDY PARTICIPANTS This was a cross-sectional case-control study in 470 obese cases (BMI > or =27.5 kg/m(2)) and 700 normal-weight controls (18.5 < or = BMI < or = 23.0 kg/m(2)). RESULTS A significant association with obesity could be replicated (one tailed P < 0.05) in seven of the 13 single-nucleotide polymorphisms (SNPs) in the case-control study. These included GNPDA2 rs10938397 (P = 7.3 x 10(-4)); FTO rs8050136 (P = 8 x 10(-4)); MC4R rs17782313 (P = 1.2 x 10(-3)); KCTD15 rs29941 (P = 8 x 10(-3)); SFRS10-ETV5-DGKG rs7647305 (P = 0.023); SEC16B-RASAL2 rs10913469 (P = 0.041); and NEGR1 rs3101336 (P = 0.046). Combined genetic risk scores were calculated, and we observed ORs ranging from 1.17 to 1.23 for each unit increase in the genetic risk scores. Associations with obesity-related quantitative traits were analyzed separately for cases and controls. KCTD15 SNP rs29941 (P = 1 x 10(-3)) was significantly associated with fasting glucose in the control group, whereas only the FTO SNP rs8050136 was associated with BMI (P = 3.5 x 10(-3)) in the obese group. However, in an extension study of 1938 subjects from the population-based Hong Kong Cardiovascular Risk Factors Prevalence Study, rs8050136, rs10938397, and rs17782313 showed significant associations with BMI. CONCLUSION We have succeeded in replicating, in a Chinese population, the associations with obesity in seven SNPs reported in recent genome-wide association studies. Further functional and fine-mapping studies to elucidate the roles of these putative obesity-related genes and genetic variants are warranted.
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Affiliation(s)
- Chloe Y Y Cheung
- Department of Medicine, Queen Mary Hospital, 102 Pokfulam Road, Hong Kong
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Powerful bivariate genome-wide association analyses suggest the SOX6 gene influencing both obesity and osteoporosis phenotypes in males. PLoS One 2009; 4:e6827. [PMID: 19714249 PMCID: PMC2730014 DOI: 10.1371/journal.pone.0006827] [Citation(s) in RCA: 78] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2009] [Accepted: 08/04/2009] [Indexed: 01/21/2023] Open
Abstract
Background Current genome-wide association studies (GWAS) are normally implemented in a univariate framework and analyze different phenotypes in isolation. This univariate approach ignores the potential genetic correlation between important disease traits. Hence this approach is difficult to detect pleiotropic genes, which may exist for obesity and osteoporosis, two common diseases of major public health importance that are closely correlated genetically. Principal Findings To identify such pleiotropic genes and the key mechanistic links between the two diseases, we here performed the first bivariate GWAS of obesity and osteoporosis. We searched for genes underlying co-variation of the obesity phenotype, body mass index (BMI), with the osteoporosis risk phenotype, hip bone mineral density (BMD), scanning ∼380,000 SNPs in 1,000 unrelated homogeneous Caucasians, including 499 males and 501 females. We identified in the male subjects two SNPs in intron 1 of the SOX6 (SRY-box 6) gene, rs297325 and rs4756846, which were bivariately associated with both BMI and hip BMD, achieving p values of 6.82×10−7 and 1.47×10−6, respectively. The two SNPs ranked at the top in significance for bivariate association with BMI and hip BMD in the male subjects among all the ∼380,000 SNPs examined genome-wide. The two SNPs were replicated in a Framingham Heart Study (FHS) cohort containing 3,355 Caucasians (1,370 males and 1,985 females) from 975 families. In the FHS male subjects, the two SNPs achieved p values of 0.03 and 0.02, respectively, for bivariate association with BMI and femoral neck BMD. Interestingly, SOX6 was previously found to be essential to both cartilage formation/chondrogenesis and obesity-related insulin resistance, suggesting the gene's dual role in both bone and fat. Conclusions Our findings, together with the prior biological evidence, suggest the SOX6 gene's importance in co-regulation of obesity and osteoporosis.
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Wang X, Kammerer CM, Anderson S, Lu J, Feingold E. A comparison of principal component analysis and factor analysis strategies for uncovering pleiotropic factors. Genet Epidemiol 2009; 33:325-31. [PMID: 19048641 DOI: 10.1002/gepi.20384] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
Principal component analysis (PCA) and factor analysis (FA) are often used to uncover genetic factors that contribute to complex disease phenotypes. The purpose of such an analysis is to distill a genetic signal from a large number of correlated phenotype measurements. That signal can then be used in genetic analyses (e.g. linkage analysis), presumably leading to greater success at finding genes than one would achieve with any one raw trait. Although both PCA and FA have been used this way, there has been no comparison of their performance in the literature. We compared the ability of these two procedures to extract unobserved underlying genetic components from complex simulated data on nuclear families. We first simulated seven underlying genetic and environmentally determined traits. Then we derived two sets of 50 complex (observed) traits using algebraic combinations of the underlying components. We next performed PCA and FA on the complex traits. We assessed two aspects of the performance of the methods: (1) ability to detect the underlying genetic components; (2) whether the methods worked better when applied to raw traits or to residuals (after regressing out significant environmental covariates). Our results indicate that both the methods behave similarly in most cases, although FA generally produced factors that had stronger correlations with the underlying traits. We also found that using residuals in PCA or FA analyses greatly increased the probability that the PCs or factors detected common genetic components instead of common environmental factors, except if there was statistical interaction between genetic and environmental factors.
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Affiliation(s)
- Xiaojing Wang
- Department of Oral Biology, University of Pittsburgh, Pittsburgh, Pennsylvania, 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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Genetic and environmental influence on structural strength of weight-bearing and non-weight-bearing bone: a twin study. J Bone Miner Res 2008; 23:492-8. [PMID: 18072876 DOI: 10.1359/jbmr.071205] [Citation(s) in RCA: 29] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
UNLABELLED A bivariate genetic analysis among 217 older female twin pairs showed that, although the structural strength of tibia and radius are mainly regulated by same genetic and environmental factors, the tibia is more affected by environment. INTRODUCTION The habitual loading environment of the bone may modulate the relative contribution of genetic and environmental factors to bone structure. The purpose of this study was to estimate the contribution of the common and site-specific genetic and environmental factors to interindividual variation in compressive structural strength of the weight-bearing tibia and non-weight-bearing radius. MATERIALS AND METHODS pQCT scans were obtained from both members of 103 monozygotic (MZ) and 114 dizygotic (DZ) 63- to 76-yr-old female twin pairs to estimate the compressive strength of the distal tibia and distal radius. Quantitative genetic models were used to decompose the phenotypic variance into additive genetic, shared environmental, and individual environmental effects at each bone site and to study whether these bone sites share genetic or environmental effects. RESULTS The MZ and DZ twins did not differ in mean age, height, weight, or bone structural strength. The age-adjusted Cholesky model showed that additive genetic factors accounted for 83% (95% CI, 77-88%) of the variance in radial strength and 61% (95% CI, 52-69%) of the variance in tibial strength, and these were fully correlated. A shared environmental factor accounted for 15% (95% CI, 10-20%) of tibial strength. An individual environmental factor accounted for 17% (95% CI, 12-23%) of the variance in radial strength and 10% (95% CI, 5-17%) of the variance in tibial strength. The relative contribution of an individual environmental factor specific to tibial strength was 14% (95% CI, 11-18%). CONCLUSIONS The results suggest that, in older women, the majority of the individual differences in the compressive structural strength of the forearm and leg are regulated by genetic and environmental factors that are common to both bone sites. However, the relative importance of environmental factors was greater for the weight-bearing tibia than for the non-weight-bearing radius. Thus, the heritability of bone strength seems to vary between skeletal sites according to differences in the typical loading environment.
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Zhang ZL, He JW, Qin YJ, Hu YQ, Li M, Zhang H, Hu WW, Liu YJ, Gu JM. Association between myostatin gene polymorphisms and peak BMD variation in Chinese nuclear families. Osteoporos Int 2008; 19:39-47. [PMID: 17703271 DOI: 10.1007/s00198-007-0435-8] [Citation(s) in RCA: 45] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2007] [Accepted: 06/01/2007] [Indexed: 12/15/2022]
Abstract
UNLABELLED We identified 17 polymorphisms in myostatin by sequencing, and three informative single nucleotide polymorphisms (SNPs) were selected for further observation for their association with peak BMD of women in 401 Chinese nuclear families. Our results suggest that genetic polymorphisms in myostatin likely play a role in attainment of peak BMD in Chinese women. INTRODUCTION Myostatin is a TGF-beta family member that is a negative regulator of skeletal muscle growth. MATERIALS AND METHODS We identified SNPs in myostatin by direct sequencing. Furthermore, using a quantitative transmission disequilibrium test (QTDT). we tested and further test whether SNPs were associated with peak bone mineral density (BMD) variation at the spines and hips of 401 Chinese nuclear families. We identified 17 polymorphisms in myostatin by sequencing. Next, we selected three informative SNPs for further observation of an association with peak BMD of premenopausal women in 401 Chinese nuclear families. RESULTS Using QTDT for the within-family association, we found significant association between rs2293284 and total hip, femoral neck, and trochanter BMD (all p < 0.05), while rs7570532 was associated with total hip and trochanter BMD (p = 0.034 and p = 0.035, respectively). The within-family association was significant between BMI and +2278G > A (p = 0.022). Subsequent permutations were in agreement with these significant within-family association results. Moreover, analyses of the haplotypes confer further evidence for association of rs2293284 and rs7570532 with hip peak BMD variation. CONCLUSIONS These results suggest, for the first time, the genetic polymorphisms in myostatin likely play a role in attainment of peak BMD in Chinese women.
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Affiliation(s)
- Z-L Zhang
- The Department of Osteoporosis, Osteoporosis Research Unit, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, 600 Yi-Shan Rd, Shanghai, 200233, People's Republic of China.
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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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Bustamante M, Nogués X, Mellibovsky L, Agueda L, Jurado S, Cáceres E, Blanch J, Carreras R, Díez-Pérez A, Grinberg D, Balcells S. Polymorphisms in the interleukin-6 receptor gene are associated with bone mineral density and body mass index in Spanish postmenopausal women. Eur J Endocrinol 2007; 157:677-84. [PMID: 17984249 DOI: 10.1530/eje-07-0389] [Citation(s) in RCA: 38] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
OBJECTIVE Osteoporosis and obesity are complex diseases with a strong genetic component. Bone mineral density (BMD) and body mass index (BMI) linkage studies identified a locus at 1q21-23, where the interleukin-6 receptor (IL6R) gene is located. The IL6R and the gp130 receptors are the mediators of IL6 action. Serum levels of IL6 and sIL6R (the soluble form of IL6R) are higher in several diseases such as osteoporosis or obesity. Variants at IL6R have been associated with BMI and obesity. However, IL6R is an as-yet-unexplored osteoporosis candidate gene. DESIGN In the present study we analysed two polymorphisms in the IL6R promoter, -1435 C/T (rs3887104) and -208 G/A (rs4845617), and the Asp358Ala polymorphism (rs8192284), in relation to both BMD and BMI in a cohort of 559 postmenopausal Spanish women. RESULTS The promoter polymorphisms, -1435 C/T and -208 G/A were associated with femoral neck (FN) BMD (P=0.011 and P=0.025 respectively). The C-A and T-G promoter haplotypes were also associated with FN BMD. Additionally, the Asp358Ala variant was associated with lumbar spine BMD (P=0.038). Finally, the -208 G/A polymorphism and the C-G and C-A haplotypes were associated with BMI and obesity, where GG was the risk genotype (P=0.033 for BMI; P=0.010 for obesity). CONCLUSION These data suggest that variants in the IL6R gene are not only involved in the determination of BMI but also relevant for the determination of BMD. The IL6R gene may belong to the growing list of genes known to be involved in both phenotypes.
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Affiliation(s)
- M Bustamante
- Department of Genetics, University of Barcelona, Barcelona, Spain
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Shen H, Bielak LF, Streeten EA, Ryan KA, Rumberger JA, Sheedy PF, Shuldiner AR, Peyser PA, Mitchell BD. Relationship between vascular calcification and bone mineral density in the Old-order Amish. Calcif Tissue Int 2007; 80:244-50. [PMID: 17431532 DOI: 10.1007/s00223-007-9006-4] [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: 10/31/2006] [Accepted: 01/18/2007] [Indexed: 01/02/2023]
Abstract
Vascular calcification and osteoporosis are common age-related processes that are influenced by both genetic and nongenetic factors. Whether common genes underlie these processes is not known. We measured coronary artery calcification (CAC), aortic calcification (AC), and bone mineral density (BMD) in 682 men and women from large Old-Order Amish families. We assessed the heritabilities of these traits and then evaluated, using variance decomposition procedures, whether variation in the traits was influenced by a common set of genes (i.e., pleiotropy). Significant heritabilities were detected for BMD of the femoral neck and spine (0.65, 0.63) and CAC and AC (0.43, 0.42). Mean BMD did not differ significantly across quartiles of either CAC or AC in either sex. In neither the total group nor any single subgroup (men, women, postmenopausal women) did any of the genetic or environmental correlations between BMD and vascular calcification achieve statistical significance. However, subjects with a history of cardiovascular disease (CVD) events had significantly lower BMD at the femoral neck compared to subjects who reported no prior history of CVD (age-, sex-, body mass index-, and family structure-adjusted P = 0.003). We detected no evidence for shared genes affecting the joint distribution of bone and vascular calcification. However, our results do reveal a lower BMD in subjects with a prior history of CVD in the Old-Order Amish.
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Affiliation(s)
- H Shen
- Division of Endocrinology, Diabetes, and Nutrition, Department of Medicine, University of Maryland, 660 W. Redwood Street, Room 492, Baltimore, MD 21201, USA
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Reis VM, Machado JV, Fortes MS, Fernandes PR, Silva AJ, Dantas PS, Filho JF. Evidence for Higher Heritability of Somatotype Compared to Body Mass Index in Female Twins. J Physiol Anthropol 2007; 26:9-14. [PMID: 17283387 DOI: 10.2114/jpa2.26.9] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022] Open
Abstract
The influence of genetics on human physique and obesity has been addressed by the literature. Evidence for heritability of anthropometric characteristics has been previously described, mainly for the body mass index (BMI). However, few studies have investigated the influence of genetics on the Heath-Carter somatotype. The aim of the present study was to assess the heritability of BMI and somatotype (endomorphy, mesomorphy, and ectomorphy) in a group of female monozygotic and dizygotic twins from childhood to early adulthood. A total of 28 females aged from 7 to 19 years old were studied. The group included 5 monozygotic and 9 dizygotic pairs of twins. The heritability was assessed by the twin method (h(2)). The anthropometric measures and somatotype were assessed using standard validated procedures. Significant differences between monozygotic and dizygotic pairs of twins were found for height, endomorphy, ectomorphy, and mesomorphy, and the heritability for these measures was high (h(2) between 0.88 and 0.97). No significant differences were found between monozygotic and dizygotic twins for weight, and the BMI and the heritability indexes were lower for these measures (respectively 0.42 and 0.52). The results of the present study have indicated that the somatotype may be more sensible to genetic influences than the BMI in females.
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Affiliation(s)
- Victor Machado Reis
- Department of Sport Sciences, University of Trás-os-Montes and Alto Douro, Apartadao, Villa Real, Portugal.
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Zhao LJ, Guo YF, Xiong DH, Xiao P, Recker RR, Deng HW. Is a gene important for bone resorption a candidate for obesity? An association and linkage study on the RANK (receptor activator of nuclear factor-kappaB) gene in a large Caucasian sample. Hum Genet 2006; 120:561-70. [PMID: 16960694 PMCID: PMC1829481 DOI: 10.1007/s00439-006-0243-9] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2006] [Accepted: 07/31/2006] [Indexed: 11/26/2022]
Abstract
In light of findings that osteoporosis and obesity may share some common genetic determination and previous reports that RANK (receptor activator of nuclear factor-kappaB) is expressed in skeletal muscles which are important for energy metabolism, we hypothesize that RANK, a gene essential for osteoclastogenesis, is also important for obesity. In order to test the hypothesis with solid data we first performed a linkage analysis around the RANK gene in 4,102 Caucasian subjects from 434 pedigrees, then we genotyped 19 SNPs in or around the RANK gene. A family-based association test (FBAT) was performed with both a quantitative measure of obesity [fat mass, lean mass, body mass index (BMI), and percentage fat mass (PFM)] and a dichotomously defined obesity phenotype-OB (OB if BMI > or = 30 kg/m(2)). In the linkage analysis, an empirical P = 0.004 was achieved at the location of the RANK gene for BMI. Family-based association analysis revealed significant associations of eight SNPs with at least one obesity-related phenotype (P < 0.05). Evidence of association was obtained at SNP10 (P = 0.002) and SNP16 (P = 0.001) with OB; SNP1 with fat mass (P = 0.003); SNP1 (P = 0.003) and SNP7 (P = 0.003) with lean mass; SNP1 (P = 0.002) and SNP7 (P = 0.002) with BMI; SNP1 (P = 0.003), SNP4 (P = 0.007), and SNP7 (P = 0.002) with PFM. In order to deal with the complex multiple testing issues, we performed FBAT multi-marker test (FBAT-MM) to evaluate the association between all the 18 SNPs and each obesity phenotype. The P value is 0.126 for OB, 0.033 for fat mass, 0.021 for lean mass, 0.016 for BMI, and 0.006 for PFM. The haplotype data analyses provide further association evidence. In conclusion, for the first time, our results suggest that RANK is a novel candidate for determination of obesity.
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Affiliation(s)
- Lan-Juan Zhao
- Osteoporosis Research Center and Department of Biomedical Sciences, Creighton University, Omaha, NE 68131, USA
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Guo YF, Xiong DH, Shen H, Zhao LJ, Xiao P, Guo Y, Wang W, Yang TL, Recker RR, Deng HW. Polymorphisms of the low-density lipoprotein receptor-related protein 5 (LRP5) gene are associated with obesity phenotypes in a large family-based association study. J Med Genet 2006; 43:798-803. [PMID: 16723389 PMCID: PMC1829485 DOI: 10.1136/jmg.2006.041715] [Citation(s) in RCA: 88] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
BACKGROUND The low-density lipoprotein receptor-related protein 5 (LRP5) gene, essential for glucose and cholesterol metabolism, may have a role in the aetiology of obesity, an important risk factor for diabetes. PARTICIPANTS AND METHODS To investigate the association between LRP5 polymorphisms and obesity, 27 single-nucleotide polymorphisms (SNPs), spacing about 5 kb apart on average and covering the full transcript length of the LRP5 gene, were genotyped in 1873 Caucasian people from 405 nuclear families. Obesity (defined as body mass index (BMI) >30 kg/m(2)) and three obesity-related phenotypes (BMI, fat mass and percentage of fat mass (PFM)) were investigated. RESULTS Single markers (12 tagging SNPs and 4 untaggable SNPs) and haplotypes (5 blocks) were tested for associations, using family-based designs. SNP4 (rs4988300) and SNP6 (rs634008) located in block 2 (intron 1) showed significant associations with obesity and BMI after Bonferroni correction (SNP4: p<0.001 and p = 0.001, respectively; SNP6: p = 0.002 and 0.003, respectively). The common allele A for SNP4 and minor allele G for SNP6 were associated with an increased risk of obesity. Significant associations were also observed between common haplotype A-G-G-G of block 2 with obesity, BMI, fat mass and PFM with global empirical values p<0.001, p<0.001, p = 0.003 and p = 0.074, respectively. Subsequent sex-stratified analyses showed that the association in the total sample between block 2 and obesity may be mainly driven by female subjects. CONCLUSION Intronic variants of the LRP5 gene are markedly associated with obesity. We hypothesise that such an association may be due to the role of LRP5 in the WNT signalling pathway or lipid metabolism. Further functional studies are needed to elucidate the exact molecular mechanism underlying our finding.
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Affiliation(s)
- Yan-fang Guo
- 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, PR China
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