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      WNT16 Influences Bone Mineral Density, Cortical Bone Thickness, Bone Strength, and Osteoporotic Fracture Risk

      research-article
      1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 6 , 7 , 9 , 10 , 11 , 12 , 4 , 13 , 14 , 15 , 16 , 17 , 10 ,   18 , 19 , 18 , 19 , 20 , 21 , 22 , 23 , 8 , 24 , 8 , 25 , 26 , 27 , 7 , 28 , 6 , 7 ,   6 , 7 , 29 , 7 , 30 , 31 , 32 , 6 , 7 , 4 , 3 , 20 , 21 , 33 , 34 , 35 , 36 , 8 , 35 , 37 , 33 , 9 , 9 , 38 , 37 , 39 , 40 , 4 , 8 , * , 1 , 2 , 33 , 8
      PLoS Genetics
      Public Library of Science

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          Abstract

          We aimed to identify genetic variants associated with cortical bone thickness (CBT) and bone mineral density (BMD) by performing two separate genome-wide association study (GWAS) meta-analyses for CBT in 3 cohorts comprising 5,878 European subjects and for BMD in 5 cohorts comprising 5,672 individuals. We then assessed selected single-nucleotide polymorphisms (SNPs) for osteoporotic fracture in 2,023 cases and 3,740 controls. Association with CBT and forearm BMD was tested for ∼2.5 million SNPs in each cohort separately, and results were meta-analyzed using fixed effect meta-analysis. We identified a missense SNP (Thr>Ile; rs2707466) located in the WNT16 gene (7q31), associated with CBT (effect size of −0.11 standard deviations [SD] per C allele, P = 6.2×10 −9). This SNP, as well as another nonsynonymous SNP rs2908004 (Gly>Arg), also had genome-wide significant association with forearm BMD (−0.14 SD per C allele, P = 2.3×10 −12, and −0.16 SD per G allele, P = 1.2×10 −15, respectively). Four genome-wide significant SNPs arising from BMD meta-analysis were tested for association with forearm fracture. SNP rs7776725 in FAM3C, a gene adjacent to WNT16, was associated with a genome-wide significant increased risk of forearm fracture (OR = 1.33, P = 7.3×10 −9), with genome-wide suggestive signals from the two missense variants in WNT16 (rs2908004: OR = 1.22, P = 4.9×10 −6 and rs2707466: OR = 1.22, P = 7.2×10 −6). We next generated a homozygous mouse with targeted disruption of Wnt16. Female Wnt16 −/− mice had 27% (P<0.001) thinner cortical bones at the femur midshaft, and bone strength measures were reduced between 43%–61% (6.5×10 −13<P<5.9×10 −4) at both femur and tibia, compared with their wild-type littermates. Natural variation in humans and targeted disruption in mice demonstrate that WNT16 is an important determinant of CBT, BMD, bone strength, and risk of fracture.

          Author Summary

          Bone traits are highly dependent on genetic factors. To date, numerous genetic loci for bone mineral density (BMD) and only one locus for osteoporotic fracture have been previously identified to be genome-wide significant. Cortical bone has been reported to be an important determinant of bone strength; so far, no genome-wide association studies (GWAS) have been performed for cortical bone thickness (CBT) of the tibial and radial diaphysis or BMD at forearm, a skeletal site rich in cortical bone. Therefore, we performed two separated meta-analyses of GWAS for cortical thickness of the tibia in 3 independent cohorts of 5,878 men and women, and for forearm BMD in 5 cohorts of 5,672 individuals. We identified the 7q31 locus, which contains WNT16, to be associated with CBT and BMD. Four SNPs from this locus were then tested in 2,023 osteoporotic fracture cases and 3,740 controls. One of these SNPs was genome-wide significant, and two were genome-wide suggestive, for forearm fracture. Generating a mouse with targeted disruption of Wnt16, we also demonstrated that mice lacking this protein had substantially thinner bone cortices and reduced bone strength than their wild-type littermates. These findings highlight WNT16 as a clinically relevant member of the Wnt signaling pathway and increase our understanding of the etiology of osteoporosis-related phenotypes and fracture.

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          Most cited references48

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          Consensus development conference: diagnosis, prophylaxis, and treatment of osteoporosis.

          (1993)
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            LDL receptor-related protein 5 (LRP5) affects bone accrual and eye development.

            In humans, low peak bone mass is a significant risk factor for osteoporosis. We report that LRP5, encoding the low-density lipoprotein receptor-related protein 5, affects bone mass accrual during growth. Mutations in LRP5 cause the autosomal recessive disorder osteoporosis-pseudoglioma syndrome (OPPG). We find that OPPG carriers have reduced bone mass when compared to age- and gender-matched controls. We demonstrate LRP5 expression by osteoblasts in situ and show that LRP5 can transduce Wnt signaling in vitro via the canonical pathway. We further show that a mutant-secreted form of LRP5 can reduce bone thickness in mouse calvarial explant cultures. These data indicate that Wnt-mediated signaling via LRP5 affects bone accrual during growth and is important for the establishment of peak bone mass.
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              ALSPAC--the Avon Longitudinal Study of Parents and Children. I. Study methodology.

              ALSPAC (The Avon Longitudinal Study of Parents and Children, formerly the Avon Longitudinal Study of Pregnancy and Childhood) was specifically designed to determine ways in which the individual's genotype combines with environmental pressures to influence health and development. To date, there are comprehensive data on approximately 10,000 children and their parents, from early pregnancy until the children are aged between 8 and 9. The study aims to continue to collect detailed data on the children as they go through puberty noting, in particular, changes in anthropometry, attitudes and behaviour, fitness and other cardiovascular risk factors, bone mineralisation, allergic symptoms and mental health. The study started early during pregnancy and collected very detailed data from the mother and her partner before the child was born. This not only provided accurate data on concurrent features, especially medication, symptoms, diet and lifestyle, attitudes and behaviour, social and environmental features, but was unbiased by parental knowledge of any problems that the child might develop. From the time of the child's birth many different aspects of the child's environment have been monitored and a wide range of phenotypic data collected. By virtue of being based in one geographic area, linkage to medical and educational records is relatively simple, and hands-on assessments of children and parents using local facilities has the advantage of high quality control. The comprehensiveness of the ALSPAC approach with a total population sample unselected by disease status, and the availability of parental genotypes, provides an adequate sample for statistical analysis and for avoiding spurious results. The study has an open policy in regard to collaboration within strict confidentiality rules.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS Genet
                PLoS Genet
                plos
                plosgen
                PLoS Genetics
                Public Library of Science (San Francisco, USA )
                1553-7390
                1553-7404
                July 2012
                July 2012
                5 July 2012
                12 July 2012
                : 8
                : 7
                : e1002745
                Affiliations
                [1 ]Department of Medicine, Human Genetics, McGill University, Montreal, Canada
                [2 ]Department of Epidemiology and Biostatistics, Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Canada
                [3 ]Musculoskeletal Research Unit, School of Clinical Sciences, University of Bristol, Bristol, United Kingdom
                [4 ]Human Genetics Group, University of Queensland Diamantina Institute, Princess Alexandra Hospital, University of Queensland, Brisbane, Australia
                [5 ]Endocrinology, Royal Brisbane and Women's Hospital, Brisbane, Australia
                [6 ]Medical Research Council Centre for Causal Analyses in Translational Epidemiology, University of Bristol, Bristol, United Kingdom
                [7 ]School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
                [8 ]Center for Bone and Arthritis Research, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
                [9 ]Department of Medicine, Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, Maryland, United States of America
                [10 ]Department of Clinical Chemistry, Fimlab, University of Tampere School of Medicine and Tampere University Hospital, Tampere, Finland
                [11 ]Surgical and Perioperative Sciences, Umeå University, Umeå, Sweden
                [12 ]Department of Clinical Physiology, University of Tampere School of Medicine and Tampere University Hospital, Tampere, Finland
                [13 ]Research Centre of Applied and Preventive Cardiovascular Medicine and the Department of Clinical Physiology and Nuclear Medicine, University of Turku and Turku University Hospital, Turku, Finland
                [14 ]Department of Food and Environmental Sciences, University of Helsinki, Helsinki, Finland
                [15 ]Rural Clinical School, The University of Queensland, Toowoomba, Australia
                [16 ]Department of Medicine, University of Turku and Turku University Hospital, Turku, Finland
                [17 ]Montreal Heart Institute, Research Institute, Montreal, Canada
                [18 ]Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
                [19 ]Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
                [20 ]Endocrinology and Diabetes, Sir Charles Gairdner Hospital, Perth, Australia
                [21 ]School of Medicine and Pharmacology, University of Western Australia, Perth, Australia
                [22 ]Bone Research Group, UKK Institute, Tampere, Finland
                [23 ]Department of Internal Medicine, University of Manitoba, Winnipeg, Canada
                [24 ]Garvan Institute of Medical Research, University of New South Wales, Sydney, Australia
                [25 ]Department of Medicine, McGill University, Montreal, Canada
                [26 ]Department of Medicine, University of Calgary, Calgary, Canada
                [27 ]Menzies Research Institute, University of Tasmania, Hobart, Australia
                [28 ]Centre for Bone and Periodontal Research, McGill University, Montreal, Canada
                [29 ]Department of Medicine, University of Auckland, Auckland, New Zealand
                [30 ]Kolling Institute, Royal North Shore Hospital, University of Sydney, Sydney, Australia
                [31 ]Clinical and Molecular Osteoporosis Research Unit, Department of Orthopaedics, Skane University Hospital, Lund University, Malmö, Sweden
                [32 ]Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton, United Kingdom
                [33 ]Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom
                [34 ]Genomics Core Facility, University of Gothenburg, Gothenburg, Sweden
                [35 ]Academic Unit of Bone Metabolism, Metabolic Bone Centre, University of Sheffield, Sheffield, United Kingdom
                [36 ]NIHR Musculoskeletal Biomedical Research Unit, Sheffield Teaching Hospitals, Sheffield, United Kingdom
                [37 ]Lexicon Pharmaceuticals, The Woodlands, Texas, United States of America
                [38 ]Geriatric Research and Education Clinical Center (GRECC), Veterans Administration Medical Center, Baltimore, Maryland, United States of America
                [39 ]Department of Pharmacology and Neuroscience, Umeå University, Umeå, Sweden
                [40 ]Department of Public Health and Clinical Medicine, Umeå Unviersity, Umeå, Sweden
                Georgia Institute of Technology, United States of America
                Author notes

                Conceived and designed the experiments: H-F Zheng, E Duncan, J Eriksson, U Pettersson-Kymmer, MA Brown, C Ohlsson, R Brommage, JB Richards, JH Tobias, DM Evans, L Paternoster, T Lehtimäki, U Bergström, M Kähönen, J Viikari, M Laaksonen, H Sievanen, D Mellström, M Karlsson, M Lorentzon. Performed the experiments: Y Xiao, J Liu, R Brommage, JH Tobias, T Lehtimäki, M Kähönen, O Raitakari, J Viikari, M Laaksonen, B St. Pourcain, NJ Timpson, GD Smith, SM Ring, EM Dennison, M Lorentzon. Analyzed the data: H-F Zheng, LM Yerges-Armstrong, PJ Leo, L Vandenput, M Ladouceur, EA Streeten, BD Mitchell, JB Richards, JH Tobias, DM Evans, L Paternoster, U Pettersson-Kymmer, C Medina-Gomez, F Rivadeneira, S Movérare-Skrtic, JP Kemp, A Sayers, M Nethander, M Lorentzon, C Ohlsson, R Brommage, L-P Lyytikäinen. Contributed reagents/materials/analysis tools: GC Nicholson, RL Prince, WD Leslie, J Eriksson, D Goltzman, G Jones, IR Reid, PN Sambrook, E Duncan, P Danoy, T Spector, R Eastell, E McCloskey, SG Wilson, M Lorentzon, C Ohlsson, R Brommage, JH Tobias, DM Evans, L-P Pyytikäinen, T Lehtimäki, H Sievanen, B St. Pourcain, M Laaksonen, U Bergström, M Karlsson, O Raitakari, J Viikari, EM Dennison, SM Ring, JP Kemp, GD Smith, NJ Timpson, D Mellström, DA Hanley, JA Eisman. Wrote the paper: H-F Zheng, JB Richards, M Lorentzon, JH Tobias. Critically revised the manuscript: DA Hanley.

                ¶ These authors also contributed equally to this work.

                Article
                PGENETICS-D-11-02692
                10.1371/journal.pgen.1002745
                3390364
                22792071
                45a8cad5-acc4-4c00-ba3a-838e60d5c3c8
                Zheng et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
                History
                : 9 December 2011
                : 4 April 2012
                Page count
                Pages: 13
                Categories
                Research Article
                Medicine
                Clinical Genetics
                Endocrinology
                Metabolic Disorders

                Genetics
                Genetics

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