Genetic predisposition for femoral neck stress fractures in military conscripts
- Johanna Korvala†1,
- Heini Hartikka†1,
- Harri Pihlajamäki2, 3,
- Svetlana Solovieva4,
- Juha-Petri Ruohola3,
- Timo Sahi3, 5,
- Sandra Barral6,
- Jürg Ott7,
- Leena Ala-Kokko1, 8 and
- Minna Männikkö1Email author
© Korvala et al; licensee BioMed Central Ltd. 2010
Received: 8 June 2010
Accepted: 21 October 2010
Published: 21 October 2010
Stress fractures are a significant problem among athletes and soldiers and may result in devastating complications or even permanent handicap. Genetic factors may increase the risk, but no major susceptibility genes have been identified. The purpose of this study was to search for possible genetic factors predisposing military conscripts to femoral neck stress fractures.
Eight genes involved in bone metabolism or pathology (COL1A1, COL1A2, OPG, ESR1, VDR, CTR, LRP5, IL-6) were examined in 72 military conscripts with a femoral neck stress fracture and 120 controls. The risk of femoral neck stress fracture was significantly higher in subjects with low weight and body mass index (BMI). An interaction between the CTR (rs1801197) minor allele C and the VDR C-A haplotype was observed, and subjects lacking the C allele in CTR and/or the C-A haplotype in VDR had a 3-fold higher risk of stress fracture than subjects carrying both (OR = 3.22, 95% CI 1.38-7.49, p = 0.007). In addition, the LRP5 haplotype A-G-G-C alone and in combination with the VDR haplotype C-A was associated with stress fractures through reduced body weight and BMI.
Our findings suggest that genetic factors play a role in the development of stress fractures in individuals subjected to heavy exercise and mechanical loading. The present results can be applied to the design of future studies that will further elucidate the genetics of stress fractures.
Stress fractures are common and potentially serious exertion injuries, especially among athletes and military conscripts [1, 2]. Repetitive activities such as running and marching are among the most frequently reported causes, and the approximate incidence of stress fractures in military conscripts ranges from 0.9 to 12.3% [3, 4]. Stress fractures occur most commonly in the lower extremities e.g. in the tibia, metatarsals, femur or pelvis, and they manifest as localised pain that increases during exercise.
Femoral neck fractures are one of the most serious high-risk stress fractures, because displaced fatigue fractures of the femoral neck lead to long-term morbidity in a high percentage of patients [5, 6]. If the fracture is detected quickly and no dislocation has occurred, the recovery rate is usually good, but displaced femoral neck stress fractures can result in devastating complications or even permanent handicap [5, 7].
The pathophysiology of stress fractures is thought to be related to cyclic mechanical loading of the bone, which stimulates an incomplete remodeling response . Bone is continuously degraded and renewed, and inadequate adaptation to mechanical change leads to an imbalance between microdamage and remodeling, and gradually to a fracture. There are numerous risk factors for stress fractures; a Finnish study of male military conscripts reported that tall stature, poor physical fitness, and decreased bone mineral content and bone mineral density (BMD) are factors associated with a greater risk .
Several observations suggest that genetic factors contribute to stress fracture susceptibility. Singer and co-workers described multiple identical stress fractures at the same anatomic sites in monozygotic twins after the sixth week of basic training in the army , and multiple lower limb stress fractures in the same individual have also been reported . The occurrence of many stress fractures may also indicate a defective overall bone composition due to genetic factors . Findings in twins and their families suggest that differences in such traits as bone size, shape, and BMD between individuals are largely attributable to genetic differences and not to environmental effects .
Mutations or allelic variants in the genes leading to a variety of bone pathologies that increase bone fragility, such as collagen I, (COL1A1 and COL1A2) [14, 15], vitamin D receptor (VDR) , osteoprotegerin (OPG) , calcitonin receptor (CTR) , estrogen receptor (ESR) , low density lipoprotein receptor-related protein 5 (LRP5) , and interleukin 6 (IL-6)  may also increase the risk of stress fractures. Sequence variations in these genes are associated with a low peak bone mass, osteoporosis, osteogenesis imperfecta, osteoporosis-pseudoglioma syndrome, and high bone mass, but their role in predisposing to stress fracture is not clear [14–21]. Here we aimed to elucidate the possible role and significance of sequence variations in certain bone-related genes in the development of femoral neck stress fractures.
Characteristics of cases and controls
n = 72
n = 120
20.3 ± 1.6
18.9 ± 0.5
177.1 ± 6.0
179.6 ± 6.2
68.9 ± 9.6
77.3 ± 13.1
22.0 ± 2.9
23.9 ± 3.5
Smoking (N and % smokers)
Finnish men become eligible for compulsory military service at the age of 18 years, and the duration of required service ranges from 6 to 12 months. Basic training lasts for 6 months and comprises a variety of exercises, ranging from marching, jogging, and cycling to drill and combat training, which involves heavy physical loading.
Information on the background variables was collected from the military medical records, including age, sex, height, weight, and smoking habit. The body mass index (BMI) of each conscript was calculated by dividing the body weight in kilograms by the square of the height in meters (kg/m2). Blood samples were collected from all subjects and controls. All the subjects were males between 18 and 27 years of age at the age of onset. The study was approved by the local ethics committee (Finnish Defence Forces, Helsinki, Finland), and signed informed consent was obtained from each subject.
Scan for mutations in the coding regions of 5 candidate genes
Genomic DNA was isolated from the blood samples by standard procedures. Polymerase chain reaction amplification of 51 exons of COL1A1, 52 exons of COL1A2, and 23 exons of LRP5 was performed from 72 cases and 120 controls as previously described [14, 20]. Primers were designed to amplify the 8 exons of OPG and the 5 exons of ESR1 (available on request). The polymerase chain reaction products were scanned for sequence variations by conformation-sensitive gel electrophoresis (CSGE)  and products that contained heteroduplexes were sequenced using an ABI PRISM 377 or 3100 Sequencer and the ABI PRISM BigDye Terminator Cycle Sequencing Ready Kit (Applied Biosystems, Foster City, CA).
Genotyping of 15 SNPs in the VDR, CTR, IL-6, COL1A1, COL1A2, and LRP5 genes
SNP allele frequencies between cases and controls
Allele frequencies (%)
c.2T > C, Met1Thr
c.1024+283G > A
c.1056T > C, Ile352Ile
-174G > C
c.1377C > T, Pro463Leu
c.101+1024G > T
c.1930-14T > C
c.3261C > T
c.280-68A > G
c.1666-41G > A
c.2007G > A, E644E
c.2074G > A, V667M
c.3432A > G, V1119V
c.4064C > T, A1330V
The potential deviation from the Hardy-Weinberg equilibrium was tested using the chi-square test. Disease association studies were performed on alleles and genotypes using the likelihood ratio chi-square test. Variables that differed between the cases and controls and were associated with the polymorphisms were included as covariables in multivariate analyses. Dominant, additive, recessive, and general genetic models were defined and tested for all of the polymorphisms. Haplotype frequencies and pair-wise linkage disequilibrium (D') and correlation coefficient (r2) values were established using Haploview software (MIT/Harvard Broad Institute Cambridge, MA) . The haplotypes were reconstructed statistically from population genotype data using the PHASE program with the Markov chain method for haplotype assignment . Potential risk or protective haplotypes were identified by comparing haplotype frequencies between the cases and controls using Fisher's exact probability test or the chi-square test. The robustness of the associations was evaluated with permutation tests (100 permutations).
Crude and adjusted odds ratios and their 95% confidence intervals (CIs) were calculated using the SPSS statistical package (SPSS, Chicago, IL), and interactions between the polymorphisms were investigated by stratification and logistic regression analysis. The statistical significance of a p-value was defined as the 5% level.
The basic characteristics of the cases and controls were compared and are shown on Table 1. The results indicated that the cases were smaller in size than the controls; i.e., they were shorter and had lower body weight and BMI. As the control group data were collected at a later time than those for the stress fracture patients, the height, weight, and BMI were also compared to those of healthy contemporaries of the cases. The findings were the same in that body weight and BMI were lower in cases than in their healthy contemporaries, indicating that the time discrepancy between controls and cases did not account for the differences in these parameters (data not shown). Unfortunately, DNA was not available for genetic analyses of the contemporary subjects. The risk of femoral neck stress fractures was significantly higher in subjects with low body weight and low BMI. The control group differed from the cases in regard to age, but no statistically significant association between age and BMI or BMI and smoking between control group and cases was detected (data not shown).
Candidate gene analysis
Because sequence variations in COL1A1, COL1A2, LRP5, OPG, and ESR1 increase the risk of low bone mass or osteoporotic fractures, we first examined their possible role in the pathogenesis of stress fractures by scanning all their exons and exon boundaries in the 72 subjects and the 120 controls for mutations using CSGE [14, 15, 17, 20]. The analysis revealed no putative disease-causing mutations. Several sequence variations were observed in these genes, but none of them was novel (as verified from the NCBI GenBank), and they were all detected in both stress fracture subjects and controls (data not shown).
Association analyses of SNPs
To test for possible allelic associations, a total of 15 SNPs in 6 genes (COL1A1, COL1A2, CTR, IL-6, VDR, and LRP5) were genotyped. The genotype frequencies for 15 SNPs were all in Hardy-Weinberg equilibrium. A comparison of the resulting allele frequencies between the cases and controls (Table 2) suggested that the frequency of the LRP5 rs2277268 minor allele A was marginally elevated in the cases. The same allele was significantly associated with both low body weight (A: 68.6 ± 9.0 kg vs. G: 74.5 ± 12.7 kg, p = 0.036) and low BMI (A: 21.5 ± 2.5 kg/m2 vs. G: 23.3 ± 3.4 kg/m2, p = 0.017). In addition, the LRP5 rs4988321 minor allele A was associated with lower height (A: 175.6 ± 4.6 cm vs. G: 178.8 ± 6.2 cm, p = 0.025), and the VDR Bsm I minor allele A was associated with higher BMI (A: 23.7 ± 3.7 kg/m2 vs. G: 22.9 ± 3.2 kg/m2, p = 0.04). Because neither of the polymorphisms was associated with either age or smoking, only BMI was included as a covariate in the subsequent analyses.
Genotype distributions, odds ratios (OR), and their 95% confidence intervals (CI) and p-values for the genetic models
Linkage disequilibrium, haplotype and interaction analyses
Seven haplotypes were detected in the LRP5 gene. The A-G-G-C haplotype frequency was higher among cases than among controls (p = 0.031), and the risk of stress fractures was higher among its carriers than in non-carriers (OR 2.72; 95% CI 1.10 - 6.73). On the other hand, the A-G-G-C haplotype increased the risk of low BMI (OR 2.50; 95 % CI 1.03-6.07, p = 0.04), so the association between haplotype and stress fracture lost its statistical significance after adjusting for BMI (OR 2.04; 95% CI 0.79 - 5.22), suggesting that BMI mediates this association.
LRP5 A-G-G-C haplotype and VDR C-A haplotype interaction
OR (95% CI)
- or +
3.85 (1.16-12.84) 2
The significance of physical and mechanical risk factors in the development of stress fractures is well established . The present findings indicate that genetic factors may also play a role in the development of femoral neck stress fractures. We found an interaction between the CTR C allele and the VDR C-A haplotype, and the risk of stress fractures was 3-fold higher in military conscripts lacking either one or both compared to carriers of both. In addition, the LRP5 gene haplotype A-G-G-C conferred almost a 3-fold increased risk for developing femoral neck stress fractures, and a 4-fold increased risk in combination with the VDR C-A haplotype, although these associations were mediated by low body weight and BMI and require further investigation.
Because of the important role of CTR in bone homeostasis, polymorphisms of this gene have been studied with regard to common bone parameters and disorders. Several studies report an association between the CTR polymorphism Alu I and lumbar spine and femoral neck BMD in both men and women, but the reports have been somewhat contradictory. Studies in postmenopausal women revealed that the CC genotype is more common in non-osteoporotic women than the TT genotype [30, 31], and that the TT genotype is associated with lower lumbar spine and femoral neck BMD and increases the predisposition for osteoporosis [32, 33]. The opposite finding was suggested by Braga et al.  who reported that the CC genotype is associated with decreased BMD and is more common in men with hip or vertebral fractures than in control subjects . In our study, the CTR allele C together with a VDR C-A haplotype appeared to protect subjects from fractures.
Polymorphisms in CTR and VDR are associated with BMD in Spanish women . The observed interaction between a CTR minor allele and the VDR C-A haplotype and their association with stress fractures may be explained by the inhibitory effect of these proteins on parathyroid hormone production. CTR and VDR are both involved in sustaining normocalcemia by inhibiting the production of parathyroid hormone . The observed allele-haplotype interaction may have an effect on the regulatory role of the proteins and therefore on control of Ca levels.
VDR also has independent effects on bone biology and may play a role in bone pathologies such as stress fractures. VDR is essential for 1,25(OH)2D3 to induce the calcemic and phosphatemic effects that normally result in bone mineralization and remodelling . VDR genotypes increase the risk for low BMD and osteoporotic fractures [16, 38] and VDR knock-out mice develop a low bone mass phenotype with hypocalcemia, hypophosphatemia, and elevated 1,25(OH)2D3 levels . In addition, reduced serum 25(OH)D levels might predispose young men to stress fractures .
The present study indicates that the association of the LRP5 haplotype and LRP5-VDR interaction with stress fractures is mediated by low body weight and BMI, but more research is needed before any definitive conclusions can be drawn from these findings. The function of LRP5 in bone development, however, is indisputable ; mutations in LRP5 cause various bone disorders [20, 42] and polymorphisms are associated with BMD and bone mineral content in general , but also with reduced BMD and fractures . Mouse studies demonstrated that mutations in Lrp5 affect bone formation sensitivity in response to normal mechanical loading [45, 46], and thus the LRP5 haplotype A-G-G-C might affect bone sensitivity and response to mechanical loading. It is possible that bone in the lighter-weight conscripts is initially adjusted to lower load bearing and when mechanical loading sharply increases in the military service, the genetically set response might not adjust rapidly enough to react to the increased loading, thus putting lighter weight conscripts at higher risk for stress fractures. Our results support earlier findings that low weight (before and/or during military service) increases the risk of stress fractures [3, 47]. Body weight is an important predictor of BMD , and BMI and obesity have been shown in a family-based analysis to be associated with LRP5 polymorphisms , underlining the role of LRP5 also in weight regulation.
One limitation of the present study is the discrepancy in the collection periods of case and control groups. The most important physical variable was weight, because reduced weight and BMI mediate the association of the LRP5 haplotype and the LRP5-VDR interaction with femoral neck stress fractures. Interestingly, however, the same difference in weight and BMI was also observed between the cases and their healthy contemporaries, suggesting that the difference was not time-dependent. This verification is important because the mean BMI and the number of overweight conscripts has consistently increased towards the end of 20th century, whereas the physical fitness of conscripts has declined . Unfortunately, other extrinsic factors that could have changed during the 30 years scale (e.g. in nutrition or exercise) have not been examined because of the limited amount of information available. The results of the study should be interpreted with moderation and replication of the study is needed to confirm the present findings. For future studies, larger sample sizes are desirable to gain more statistical power in the analyses. In addition, functional studies on the present genetic findings are needed to elucidate the relevance of these genetic associations to femoral neck stress fractures.
Our findings suggest that genetic factors may play a role in the development of stress fractures in individuals subjected to heavy exercise and mechanical loading. The present results can be applied to the design of future studies that will further elucidate the genetics of stress fractures.
We wish to thank all the conscripts who volunteered for this study. We thank Mrs. Aira Erkkilä and Mrs. Irma Vuoti for their expert technical assistance. This work was supported by grants from the Academy of Finland (to L.A.K.), the Scientific Committee of the Finnish Defence Forces (to H.P.), the Natural Science Foundation of China (project no. 30730057 to J.O.), and the Finnish Cultural Foundation (to H.H.).
- Ha KI, Hahn SH, Chung MY, Yang BK, Yi SR: A clinical study of stress fractures in sports activities. Orthopedics. 1991, 14: 1089-1095.PubMedGoogle Scholar
- Sterling JC, Edelstein DW, Calvo RD, Webb R: Stress fractures in the athlete. Diagnosis and management. Sports Med. 1992, 14: 336-346. 10.2165/00007256-199214050-00005.View ArticlePubMedGoogle Scholar
- Brudvig TJ, Gudger TD, Obermeyer L: Stress fractures in 295 trainees: a one-year study of incidence as related to age, sex, and race. Mil Med. 1983, 148: 666-667.PubMedGoogle Scholar
- Sahi T: Stress fractures. Revue Internationale de Services de Sante, des Armees de Terre, de Mer et de l'Air. 1984, 57: 311-313.Google Scholar
- Pihlajamäki HK, Ruohola JP, Kiuru MJ, Visuri TI: Displaced femoral neck fatigue fractures in military recruits. J Bone Joint Surg (Am). 2006, 88: 1989-1997. 10.2106/JBJS.E.00505.View ArticleGoogle Scholar
- Boden BP, Osbahr DC: High-risk stress fractures: evaluation and treatment. J Am Acad Orthop Surg. 2000, 8: 344-353.PubMedGoogle Scholar
- Weistroffer JK, Muldoon MP, Duncan DD, Fletcher EH, Padgett DE: Femoral neck stress fractures: outcome analysis at minimum five-year follow-up. J Orthop Trauma. 2003, 17: 334-337. 10.1097/00005131-200305000-00003.View ArticlePubMedGoogle Scholar
- Markey KL: Stress fractures. Clin Sports Med. 1987, 6: 405-425.PubMedGoogle Scholar
- Välimäki VV, Alfthan H, Lehmuskallio E, Löyttyniemi E, Sahi T, Suominen H, Välimäki MJ: Risk factors for clinical stress fractures in male military recruits: a prospective cohort study. Bone. 2005, 37: 267-273. 10.1016/j.bone.2005.04.016.View ArticlePubMedGoogle Scholar
- Singer A, Ben-Yehuda O, Ben-Ezra Z, Zaltzman S: Multiple identical stress fractures in monozygotic twins. Case report. J Bone Joint Surg (Am). 1990, 72: 444-445.Google Scholar
- Lambros G, Alder D: Multiple stress fractures of the tibia in a healthy adult. Am J Orthop. 1997, 26: 687-688.PubMedGoogle Scholar
- Friedman E, Vered I, Shemer J: The genetic basis for stress fractures. Musculoskeletal fatigue and stress fractures. Edited by: Burr DB, Milgrom C. 2001, Florida, USA: CRC Press LLC, 105-117.Google Scholar
- Nguyen TV, Eisman JA: Genetics of fracture: challenges and opportunities. J Bone Miner Res. 2000, 15: 1253-1256. 10.1359/jbmr.2000.15.7.1253.View ArticlePubMedGoogle Scholar
- Körkkö J, Ala-Kokko L, De Paepe A, Nuytinck L, Earley J, Prockop DJ: Analysis of the COL1A1 and COL1A2 genes by PCR amplification and scanning by conformation-sensitive gel electrophoresis identifies only COL1A1 mutations in 15 patients with osteogenesis imperfecta type I: identification of common sequences of null-allele mutations. Am J Hum Genet. 1998, 62: 98-110. 10.1086/301689.PubMed CentralView ArticlePubMedGoogle Scholar
- Uitterlinden AG, Burger H, Huang Q, Yue F, McGuigan FE, Grant SF, Hofman A, van Leeuwen JP, Pols HA, Ralston SH: Relation of alleles of the collagen type Ialpha1 gene to bone density and the risk of osteoporotic fractures in postmenopausal women. N Engl J Med. 1998, 338: 1016-1021. 10.1056/NEJM199804093381502.View ArticlePubMedGoogle Scholar
- Morrison NA, Qi JC, Tokita A, Kelly PJ, Crofts L, Nguyen TV, Sambrook PN, Eisman JA: Prediction of bone density from vitamin D receptor alleles. Nature. 1994, 367: 284-287. 10.1038/367284a0.View ArticlePubMedGoogle Scholar
- Simonet WS, Lacey DL, Dunstan CR, Kelley M, Chang MS, Luthy R, Nguyen HQ, Wooden S, Bennett L, Boone T, Shimamoto G, DeRose M, Elliott R, Colombero A, Tan HL, Trail G, Sullivan J, Davy E, Bucay N, Renshaw-Gegg L, Hughes TM, Hill D, Pattison W, Campbell P, Sander S, Van G, Tarpley J, Derby P, Lee R, Boyle WJ: Osteoprotegerin: a novel secreted protein involved in the regulation of bone density. Cell. 1997, 89: 309-319. 10.1016/S0092-8674(00)80209-3.View ArticlePubMedGoogle Scholar
- Nakamura M, Morimoto S, Zhang Z, Utsunomiya H, Inagami T, Ogihara T, Kakudo K: Calcitonin receptor gene polymorphism in japanese women: correlation with body mass and bone mineral density. Calcif Tissue Int. 2001, 68: 211-215. 10.1007/s002230001215.View ArticlePubMedGoogle Scholar
- Langdahl BL, Lokke E, Carstens M, Stenkjaer LL, Eriksen EF: A TA repeat polymorphism in the estrogen receptor gene is associated with osteoporotic fractures but polymorphisms in the first exon and intron are not. J Bone Miner Res. 2000, 15: 2222-2230. 10.1359/jbmr.2000.15.11.2222.View ArticlePubMedGoogle Scholar
- Gong Y, Slee RB, Fukai N, Rawadi G, Roman-Roman S, Reginato AM, Wang H, Cundy T, Glorieux FH, Lev D, Zacharin M, Oexle K, Marcelino J, Suwairi W, Heeger S, Sabatakos G, Apte S, Adkins WN, Allgrove J, Arslan-Kirchner M, Batch JA, Beighton P, Black GC, Boles RG, Boon LM, Borrone C, Brunner HG, Carle GF, Dallapiccola B, De Paepe A, Floege B, Halfhide ML, Hall B, Hennekam RC, Hirose T, Jans A, Juppner H, Kim CA, Keppler-Noreuil K, Kohlschuetter A, LaCombe D, Lambert M, Lemyre E, Letteboer T, Peltonen L, Ramesar RS, Romanengo M, Somer H, Steichen-Gersdorf E, Steinmann B, Sullivan B, Superti-Furga A, Swoboda W, van den Boogaard MJ, Van Hul W, Vikkula M, Votruba M, Zabel B, Garcia T, Baron R, Olsen BR, Warman ML, Osteoporosis-Pseudoglioma Syndrome Collaborative Group: LDL receptor-related protein 5 (LRP5) affects bone accrual and eye development. Cell. 2001, 107: 513-523. 10.1016/S0092-8674(01)00571-2.View ArticlePubMedGoogle Scholar
- Lorentzon M, Lorentzon R, Nordstrom P: Interleukin-6 gene polymorphism is related to bone mineral density during and after puberty in healthy white males: a cross-sectional and longitudinal study. J Bone Miner Res. 2000, 15: 1944-1949. 10.1359/jbmr.2000.15.10.1944.View ArticlePubMedGoogle Scholar
- Anderson MW, Greenspan A: Stress fractures. Radiology. 1996, 199: 1-12.View ArticlePubMedGoogle Scholar
- Kiuru MJ, Pihlajamäki HK, Ahovuo JA: Bone stress injuries. Acta Radiol. 2004, 45: 317-326. 10.1080/02841850410004724.View ArticlePubMedGoogle Scholar
- Gross C, Eccleshall TR, Malloy PJ, Villa ML, Marcus R, Feldman D: The presence of a polymorphism at the translation initiation site of the vitamin D receptor gene is associated with low bone mineral density in postmenopausal Mexican-American women. J Bone Miner Res. 1996, 11: 1850-1855. 10.1002/jbmr.5650111204.View ArticlePubMedGoogle Scholar
- Riggs BL, Nguyen TV, Melton LJ, Morrison NA, O'Fallon WM, Kelly PJ, Egan KS, Sambrook PN, Muhs JM, Eisman JA: The contribution of vitamin D receptor gene alleles to the determination of bone mineral density in normal and osteoporotic women. J Bone Miner Res. 1995, 10: 991-996. 10.1002/jbmr.5650100622.View ArticlePubMedGoogle Scholar
- Fretz JA, Zella LA, Kim S, Shevde NK, Pike JW: 1,25-Dihydroxyvitamin D3 regulates the expression of low-density lipoprotein receptor-related protein 5 via deoxyribonucleic acid sequence elements located downstream of the start site of transcription. Mol Endocrinol. 2006, 20: 2215-2230. 10.1210/me.2006-0102.View ArticlePubMedGoogle Scholar
- Peleg S, Abruzzese RV, Cooper CW, Gagel RF: Down-regulation of calcitonin gene transcription by vitamin D requires two widely separated enhancer sequences. Mol Endocrinol. 1993, 7: 999-1008. 10.1210/me.7.8.999.PubMedGoogle Scholar
- Barrett JC, Fry B, Maller J, Daly MJ: Haploview: analysis and visualization of LD and haplotype maps. Bioinformatics. 2005, 21: 263-265. 10.1093/bioinformatics/bth457.View ArticlePubMedGoogle Scholar
- Stephens M, Smith NJ, Donnelly P: A new statistical method for haplotype reconstruction from population data. Am J Hum Genet. 2001, 68: 978-989. 10.1086/319501.PubMed CentralView ArticlePubMedGoogle Scholar
- Masi L, Becherini L, Gennari L, Colli E, Mansani R, Falchetti A, Cepollaro C, Gonnelli S, Tanini A, Brandi ML: Allelic variants of human calcitonin receptor: distribution and association with bone mass in postmenopausal Italian women. Biochem Biophys Res Commun. 1998, 245: 622-626. 10.1006/bbrc.1998.8445.View ArticlePubMedGoogle Scholar
- Nakamura M, Zhang ZQ, Shan L, Hisa T, Sasaki M, Tsukino R, Yokoi T, Kaname A, Kakudo K: Allelic variants of human calcitonin receptor in the Japanese population. Hum Genet. 1997, 99: 38-41. 10.1007/s004390050307.View ArticlePubMedGoogle Scholar
- Masi L, Becherini L, Colli E, Gennari L, Mansani R, Falchetti A, Becorpi AM, Cepollaro C, Gonnelli S, Tanini A, Brandi ML: Polymorphisms of the calcitonin receptor gene are associated with bone mineral density in postmenopausal Italian women. Biochem Biophys Res Commun. 1998, 248: 190-195. 10.1006/bbrc.1998.8880.View ArticlePubMedGoogle Scholar
- Tsai FJ, Chen WC, Chen HY, Tsai CH: The ALUI calcitonin receptor gene polymorphism (TT) is associated with low bone mineral density and susceptibility to osteoporosis in postmenopausal women. Gynecol Obstet Invest. 2003, 55: 82-87. 10.1159/000070179.View ArticlePubMedGoogle Scholar
- Braga V, Sangalli A, Malerba G, Mottes M, Mirandola S, Gatti D, Rossini M, Zamboni M, Adami S: Relationship among VDR (BsmI and FokI), COLIA1, and CTR polymorphisms with bone mass, bone turnover markers, and sex hormones in men. Calcif Tissue Int. 2002, 70: 457-462. 10.1007/s00223-001-1088-9.View ArticlePubMedGoogle Scholar
- Bandres E, Pombo I, Gonzalez-Huarriz M, Rebollo A, Lopez G, Garcia-Foncillas J: Association between bone mineral density and polymorphisms of the VDR, ERalpha, COL1A1 and CTR genes in Spanish postmenopausal women. J Endocrinol Invest. 2005, 28: 312-321.View ArticlePubMedGoogle Scholar
- Garfia B, Canadillas S, Canalejo A, Luque F, Siendones E, Quesada M, Almaden Y, Aguilera-Tejero E, Rodriguez M: Regulation of parathyroid vitamin D receptor expression by extracellular calcium. J Am Soc of Nephrol. 2002, 13: 2945-2952. 10.1097/01.ASN.0000037676.54018.CB.View ArticleGoogle Scholar
- Haussler MR, Whitfield GK, Haussler CA, Hsieh JC, Thompson PD, Selznick SH, Dominguez CE, Jurutka PW: The nuclear vitamin D receptor: biological and molecular regulatory properties revealed. J Bone Miner Res. 1998, 13: 325-349. 10.1359/jbmr.19220.127.116.115.View ArticlePubMedGoogle Scholar
- Uitterlinden AG, Weel AE, Burger H, Fang Y, van Duijn CM, Hofman A, van Leeuwen JP, Pols HA: Interaction between the vitamin D receptor gene and collagen type Ialpha1 gene in susceptibility for fracture. J Bone Miner Res. 2001, 16: 379-385. 10.1359/jbmr.2001.16.2.379.View ArticlePubMedGoogle Scholar
- Yoshizawa T, Handa Y, Uematsu Y, Takeda S, Sekine K, Yoshihara Y, Kawakami T, Arioka K, Sato H, Uchiyama Y, Masushige S, Fukamizu A, Matsumoto T, Kato S: Mice lacking the vitamin D receptor exhibit impaired bone formation, uterine hypoplasia and growth retardation after weaning. Nat Genet. 1997, 16: 391-396. 10.1038/ng0897-391.View ArticlePubMedGoogle Scholar
- Ruohola JP, Laaksi I, Ylikomi T, Haataja R, Mattila VM, Sahi T, Tuohimaa P, Pihlajamäki H: Association between serum 25(OH)D concentrations and bone stress fractures in Finnish young men. J Bone Miner Res. 2006, 21: 1483-1488. 10.1359/jbmr.060607.View ArticlePubMedGoogle Scholar
- Westendorf JJ, Kahler RA, Schroeder TM: Wnt signaling in osteoblasts and bone diseases. Gene. 2004, 341: 19-39. 10.1016/j.gene.2004.06.044.View ArticlePubMedGoogle Scholar
- Hartikka H, Mäkitie O, Männikkö M, Doria AS, Daneman A, Cole WG, Ala-Kokko L, Sochett EB: Heterozygous mutations in the LDL receptor-related protein 5 (LRP5) gene are associated with primary osteoporosis in children. J Bone Miner Res. 2005, 20: 783-789. 10.1359/JBMR.050101.View ArticlePubMedGoogle Scholar
- Ferrari SL, Deutsch S, Choudhury U, Chevalley T, Bonjour JP, Dermitzakis ET, Rizzoli R, Antonarakis SE: Polymorphisms in the low-density lipoprotein receptor-related protein 5 (LRP5) gene are associated with variation in vertebral bone mass, vertebral bone size, and stature in whites. Am J Hum Genet. 2004, 74: 866-875. 10.1086/420771.PubMed CentralView ArticlePubMedGoogle Scholar
- van Meurs JB, Rivadeneira F, Jhamai M, Hugens W, Hofman A, van Leeuwen JP, Pols HA, Uitterlinden AG: Common genetic variation of the low-density lipoprotein receptor-related protein 5 and 6 genes determines fracture risk in elderly white men. J Bone Miner Res. 2006, 21: 141-150. 10.1359/JBMR.050904.View ArticlePubMedGoogle Scholar
- Akhter MP, Wells DJ, Short SJ, Cullen DM, Johnson ML, Haynatzki GR, Babij P, Allen KM, Yaworsky PJ, Bex F, Recker RR: Bone biomechanical properties in LRP5 mutant mice. Bone. 2004, 35: 162-169. 10.1016/j.bone.2004.02.018.View ArticlePubMedGoogle Scholar
- Sawakami K, Robling AG, Ai M, Pitner ND, Liu D, Warden SJ, Li J, Maye P, Rowe DW, Duncan RL, Warman ML, Turner CH: The Wnt co-receptor LRP5 is essential for skeletal mechanotransduction but not for the anabolic bone response to parathyroid hormone treatment. J Biol Chem. 2006, 281: 23698-23711. 10.1074/jbc.M601000200.View ArticlePubMedGoogle Scholar
- Armstrong DW, Rue J-PH, Wilckens JH, Frassica FJ: Stress fracture injury in young military men and women. Bone. 2004, 35: 806-816. 10.1016/j.bone.2004.05.014.View ArticlePubMedGoogle Scholar
- Lau HHL, Ng MUM, Ho AYY, Luk KDK, Kung AWC: Genetic and environmental determinants for bone mineral density in Chinese women. Bone. 2005, 36: 700-709. 10.1016/j.bone.2005.01.014.View ArticlePubMedGoogle Scholar
- Guo Y-F, Xiong D-H, Shen H, Zhao L-J, Xiao P, Guo Q, Wang W, Yang T-L, Recker RR, Deng H-W: 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. 2007, 43: 798-803. 10.1136/jmg.2006.041715.View ArticleGoogle Scholar
- Santtila M, Kyröläinen H, Vasankari T, Tiainen S, Palvalin K, Häkkinen A, Häkkinen K: Physical fitness profiles in young Finnish men during the years 1975-2004. Med Sci Sports Exerc. 2006, 38: 1990-1994. 10.1249/01.mss.0000232023.28984.78.View ArticlePubMedGoogle Scholar
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