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1. Previous fracture and subsequent fracture risk: a meta-analysis to update FRAX

Author: Kanis, J.A., Johansson, H., McCloskey, E.V., Liu, E., Åkesson, K.E., Anderson, F.A., Azagra, R., Bager, C.L., Beaudart, C., Bischoff-Ferrari, H.A., Biver, E., Bruyère, O., Cauley, J.A., Center, J.R., Chapurlat, R., Christiansen, C., Cooper, C., Crandall, C.J., Cummings, S.R., da Silva, J.A.P., Dawson-Hughes, B., Diez-Perez, A., Dufour, A.B., Eisman, J.A., Elders, P.J.M., Ferrari, S., Fujita, Y., Fujiwara, S., Glüer, C.-C., Goldshtein, I., Goltzman, D., Gudnason, V., Hall, J., Hans, D., Hoff, M., Hollick, R.J., Huisman, M., Iki, M., Ish-Shalom, S., Jones, G., Karlsson, M.K., Khosla, S., Kiel, D.P., Koh, W.-P., Koromani, F., Kotowicz, M.A., Kröger, H., Kwok, T., Lamy, O., Langhammer, A., Larijani, B., Lippuner, K., Mellström, D., Merlijn, T., Nordström, A., Nordström, P., O’Neill, T.W., Obermayer-Pietsch, B., Ohlsson, C., Orwoll, E.S., Pasco, J.A., Rivadeneira, F., Schott, A.-M., Shiroma, E.J., Siggeirsdottir, K., Simonsick, E.M., Sornay-Rendu, E., Sund, R., Swart, K.M.A., Szulc, P., Tamaki, J., Torgerson, D.J., van Schoor, N.M., van Staa, T.P., Vila, J., Wareham, N.J., Wright, N.C., Yoshimura, N., Zillikens, M.C., Zwart, M., Vandenput, L., Harvey, N.C., Lorentzon, M., and Leslie, W.D.
Published: 2023
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2. Update of the fracture risk prediction tool FRAX: a systematic review of potential cohorts and analysis plan

Author: Vandenput, L., Johansson, H., McCloskey, E. V., Liu, E., Åkesson, K. E., Anderson, F. A., Azagra, R., Bager, C. L., Beaudart, C., Bischoff-Ferrari, H. A., Biver, E., Bruyère, O., Cauley, J. A., Center, J. R., Chapurlat, R., Christiansen, C., Cooper, C., Crandall, C. J., Cummings, S. R., da Silva, J. A. P., Dawson-Hughes, B., Diez-Perez, A., Dufour, A. B., Eisman, J. A., Elders, P. J. M., Ferrari, S., Fujita, Y., Fujiwara, S., Glüer, C.-C., Goldshtein, I., Goltzman, D., Gudnason, V., Hall, J., Hans, D., Hoff, M., Hollick, R. J., Huisman, M., Iki, M., Ish-Shalom, S., Jones, G., Karlsson, M. K., Khosla, S., Kiel, D. P., Koh, W.-P., Koromani, F., Kotowicz, M. A., Kröger, H., Kwok, T., Lamy, O., Langhammer, A., Larijani, B., Lippuner, K., Mellström, D., Merlijn, T., Nordström, A., Nordström, P., O’Neill, T. W., Obermayer-Pietsch, B., Ohlsson, C., Orwoll, E. S., Pasco, J. A., Rivadeneira, F., Schei, B., Schott, A.-M., Shiroma, E. J., Siggeirsdottir, K., Simonsick, E. M., Sornay-Rendu, E., Sund, R., Swart, K. M. A., Szulc, P., Tamaki, J., Torgerson, D. J., van Schoor, N. M., van Staa, T. P., Vila, J., Wareham, N. J., Wright, N. C., Yoshimura, N., Zillikens, M. C., Zwart, M., Harvey, N. C., Lorentzon, M., Leslie, W. D., and Kanis, J. A.
Published: 2022
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3. WNT16 is Robustly Increased by Oncostatin M in Mouse Calvarial Osteoblasts and Acts as a Negative Feedback Regulator of Osteoclast Formation Induced by Oncostatin M

Author: Henning P, Movérare-Skrtic S, Westerlund A, Souza PPC, Floriano-Marcelino T, Nilsson KH, El Shahawy M, Ohlsson C, and Lerner UH
Subjects: oncostatin m, wnt16, osteoclast, osteoblast, Pathology, RB1-214, Therapeutics. Pharmacology, RM1-950
Abstract: Petra Henning,1 Sofia Movérare-Skrtic,1 Anna Westerlund,1 Pedro Paulo Chaves de Souza,2,3 Thais Floriano-Marcelino,3 Karin H Nilsson,1 Maha El Shahawy,1,4 Claes Ohlsson,1 Ulf H Lerner1 1Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Osteoporosis Centre and Centre for Bone and Arthritis Research at the Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden; 2The Innovation in Biomaterials Laboratory, School of Dentistry, Federal University of Goiás, Goiânia, Brazil; 3Department of Physiology and Pathology, São Paulo State University (UNESP), School of Dentistry, Araraquara, Brazil; 4Department of Oral Biology, Faculty of Dentistry, Minia University, Minia, 61511, EgyptCorrespondence: Ulf H LernerUniversity of Gothenburg, Klin Farm Lab, Vita Straket 11, Gothenburg, 41345, SwedenTel +46 70 651 91 03Email ulf.lerner@gu.seBackground: Bone loss is often observed adjacent to inflammatory processes. The WNT signaling pathways have been implicated as novel regulators of both immune responses and bone metabolism. WNT16 is important for cortical bone mass by inhibiting osteoclast differentiation, and we have here investigated the regulation of WNT16 by several members of the pro-inflammatory gp130 cytokine family.Methods: The expression and regulation of Wnt16 in primary murine cells were studied by qPCR, scRNAseq and in situ hybridization. Signaling pathways were studied by siRNA silencing. The importance of oncostatin M (OSM)-induced WNT16 expression for osteoclastogenesis was studied in cells from Wnt16-deficient and wild-type mice.Results: We found that IL-6/sIL-6R and OSM induce the expression of Wnt16 in primary mouse calvarial osteoblasts, with OSM being the most robust stimulator. The induction of Wnt16 by OSM was dependent on gp130 and OSM receptor (OSMR), and downstream signaling by the SHC1/STAT3 pathway, but independent of ERK. Stimulation of the calvarial cells with OSM resulted in enhanced numbers of mature, oversized osteoclasts when cells were isolated from Wnt16 deficient mice compared to cells from wild-type mice. OSM did not affect Wnt16 mRNA expression in bone marrow cell cultures, explained by the finding that Wnt16 and Osmr are expressed in distinctly different cells in bone marrow, nor was osteoclast differentiation different in OSM-stimulated bone marrow cell cultures isolated from Wnt16−/- or wild-type mice. Furthermore, we found that Wnt16 expression is substantially lower in cells from bone marrow compared to calvarial osteoblasts.Conclusion: These findings demonstrate that OSM is a robust stimulator of Wnt16 mRNA in calvarial osteoblasts and that WNT16 acts as a negative feedback regulator of OSM-induced osteoclast formation in the calvarial bone cells, but not in the bone marrow.Keywords: oncostatin M, WNT16, osteoclast, osteoblast
Published: 2021

4. Subclinical hyperthyroidism is associated with increased risk of vertebral fractures in older men

Author: Svensson, J., Ohlsson, C., Karlsson, M. K., Lorentzon, M., Lewerin, C., and Mellström, D.
Published: 2021
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5. A meta-analysis of previous falls and subsequent fracture risk in cohort studies.

Author: Vandenput, L, Johansson, H, McCloskey, EV, Liu, E, Schini, M, Åkesson, KE, Anderson, FA, Azagra, R, Bager, CL, Beaudart, C, Bischoff-Ferrari, HA, Biver, E, Bruyère, O, Cauley, JA, Center, JR, Chapurlat, R, Christiansen, C, Cooper, C, Crandall, CJ, Cummings, SR, da Silva, JAP, Dawson-Hughes, B, Diez-Perez, A, Dufour, AB, Eisman, JA, Elders, PJM, Ferrari, S, Fujita, Y, Fujiwara, S, Glüer, C-C, Goldshtein, I, Goltzman, D, Gudnason, V, Hall, J, Hans, D, Hoff, M, Hollick, RJ, Huisman, M, Iki, M, Ish-Shalom, S, Jones, G, Karlsson, MK, Khosla, S, Kiel, DP, Koh, W-P, Koromani, F, Kotowicz, MA, Kröger, H, Kwok, T, Lamy, O, Langhammer, A, Larijani, B, Lippuner, K, McGuigan, FEA, Mellström, D, Merlijn, T, Nguyen, TV, Nordström, A, Nordström, P, O'Neill, TW, Obermayer-Pietsch, B, Ohlsson, C, Orwoll, ES, Pasco, JA, Rivadeneira, F, Schott, A-M, Shiroma, EJ, Siggeirsdottir, K, Simonsick, EM, Sornay-Rendu, E, Sund, R, Swart, KMA, Szulc, P, Tamaki, J, Torgerson, DJ, van Schoor, NM, van Staa, TP, Vila, J, Wareham, NJ, Wright, NC, Yoshimura, N, Zillikens, M, Zwart, M, Harvey, NC, Lorentzon, M, Leslie, WD, Kanis, JA, Vandenput, L, Johansson, H, McCloskey, EV, Liu, E, Schini, M, Åkesson, KE, Anderson, FA, Azagra, R, Bager, CL, Beaudart, C, Bischoff-Ferrari, HA, Biver, E, Bruyère, O, Cauley, JA, Center, JR, Chapurlat, R, Christiansen, C, Cooper, C, Crandall, CJ, Cummings, SR, da Silva, JAP, Dawson-Hughes, B, Diez-Perez, A, Dufour, AB, Eisman, JA, Elders, PJM, Ferrari, S, Fujita, Y, Fujiwara, S, Glüer, C-C, Goldshtein, I, Goltzman, D, Gudnason, V, Hall, J, Hans, D, Hoff, M, Hollick, RJ, Huisman, M, Iki, M, Ish-Shalom, S, Jones, G, Karlsson, MK, Khosla, S, Kiel, DP, Koh, W-P, Koromani, F, Kotowicz, MA, Kröger, H, Kwok, T, Lamy, O, Langhammer, A, Larijani, B, Lippuner, K, McGuigan, FEA, Mellström, D, Merlijn, T, Nguyen, TV, Nordström, A, Nordström, P, O'Neill, TW, Obermayer-Pietsch, B, Ohlsson, C, Orwoll, ES, Pasco, JA, Rivadeneira, F, Schott, A-M, Shiroma, EJ, Siggeirsdottir, K, Simonsick, EM, Sornay-Rendu, E, Sund, R, Swart, KMA, Szulc, P, Tamaki, J, Torgerson, DJ, van Schoor, NM, van Staa, TP, Vila, J, Wareham, NJ, Wright, NC, Yoshimura, N, Zillikens, M, Zwart, M, Harvey, NC, Lorentzon, M, Leslie, WD, and Kanis, JA
Abstract: UNLABELLED: The relationship between self-reported falls and fracture risk was estimated in an international meta-analysis of individual-level data from 46 prospective cohorts. Previous falls were associated with an increased fracture risk in women and men and should be considered as an additional risk factor in the FRAX® algorithm. INTRODUCTION: Previous falls are a well-documented risk factor for subsequent fracture but have not yet been incorporated into the FRAX algorithm. The aim of this study was to evaluate, in an international meta-analysis, the association between previous falls and subsequent fracture risk and its relation to sex, age, duration of follow-up, and bone mineral density (BMD). METHODS: The resource comprised 906,359 women and men (66.9% female) from 46 prospective cohorts. Previous falls were uniformly defined as any fall occurring during the previous year in 43 cohorts; the remaining three cohorts had a different question construct. The association between previous falls and fracture risk (any clinical fracture, osteoporotic fracture, major osteoporotic fracture, and hip fracture) was examined using an extension of the Poisson regression model in each cohort and each sex, followed by random-effects meta-analyses of the weighted beta coefficients. RESULTS: Falls in the past year were reported in 21.4% of individuals. During a follow-up of 9,102,207 person-years, 87,352 fractures occurred of which 19,509 were hip fractures. A previous fall was associated with a significantly increased risk of any clinical fracture both in women (hazard ratio (HR) 1.42, 95% confidence interval (CI) 1.33-1.51) and men (HR 1.53, 95% CI 1.41-1.67). The HRs were of similar magnitude for osteoporotic, major osteoporotic fracture, and hip fracture. Sex significantly modified the association between previous fall and fracture risk, with predictive values being higher in men than in women (e.g., for major osteoporotic fracture, HR 1.53 (95% CI 1.27-1.84) in men vs. HR 1
Published: 2024

6. A meta-analysis of previous falls and subsequent fracture risk in cohort studies

Author: Vandenput, L., Johansson, H., McCloskey, E. V., Liu, E., Schini, M., Åkesson, K.E., Anderson, F. A., Azagra, R., Bager, C. L., Beaudart, C., Bischoff-Ferrari, H. A., Biver, E., Bruyère, O., Cauley, J. A., Center, J. R., Chapurlat, R., Christiansen, C., Cooper, C., Crandall, C. J., Cummings, S. R., da Silva, J. A. P., Dawson-Hughes, B., Diez-Perez, A., Dufour, A. B., Eisman, J. A., Elders, P. J. M., Ferrari, S., Fujita, Y., Fujiwara, S., Glüer, C. -C, Goldshtein, I., Goltzman, D., Gudnason, V., Hall, J., Hans, D., Hoff, M., Hollick, R. J., Huisman, M., Iki, M., Ish-Shalom, S., Jones, G., Karlsson, M. K., Khosla, S., Kiel, D. P., Koh, W. -P, Koromani, F., Kotowicz, M. A., Kröger, H., Kwok, T., Lamy, O., Langhammer, A., Larijani, B., Lippuner, K., McGuigan, F. E. A., Mellström, D., Merlijn, T., Nguyen, T. V., Nordström, Anna, Nordström, P., O’Neill, T. W., Obermayer-Pietsch, B., Ohlsson, C., Orwoll, E. S., Pasco, J. A., Rivadeneira, F., Schott, A. -M, Shiroma, E. J., Siggeirsdottir, K., Simonsick, E. M., Sornay-Rendu, E., Sund, R., Swart, K. M. A., Szulc, P., Tamaki, J., Torgerson, D. J., van Schoor, N. M., van Staa, T. P., Vila, J., Wareham, N. J., Wright, N. C., Yoshimura, N., Zillikens, M. C., Zwart, M., Harvey, N. C., Lorentzon, M., Leslie, W. D., Kanis, J. A., Vandenput, L., Johansson, H., McCloskey, E. V., Liu, E., Schini, M., Åkesson, K.E., Anderson, F. A., Azagra, R., Bager, C. L., Beaudart, C., Bischoff-Ferrari, H. A., Biver, E., Bruyère, O., Cauley, J. A., Center, J. R., Chapurlat, R., Christiansen, C., Cooper, C., Crandall, C. J., Cummings, S. R., da Silva, J. A. P., Dawson-Hughes, B., Diez-Perez, A., Dufour, A. B., Eisman, J. A., Elders, P. J. M., Ferrari, S., Fujita, Y., Fujiwara, S., Glüer, C. -C, Goldshtein, I., Goltzman, D., Gudnason, V., Hall, J., Hans, D., Hoff, M., Hollick, R. J., Huisman, M., Iki, M., Ish-Shalom, S., Jones, G., Karlsson, M. K., Khosla, S., Kiel, D. P., Koh, W. -P, Koromani, F., Kotowicz, M. A., Kröger, H., Kwok, T., Lamy, O., Langhammer, A., Larijani, B., Lippuner, K., McGuigan, F. E. A., Mellström, D., Merlijn, T., Nguyen, T. V., Nordström, Anna, Nordström, P., O’Neill, T. W., Obermayer-Pietsch, B., Ohlsson, C., Orwoll, E. S., Pasco, J. A., Rivadeneira, F., Schott, A. -M, Shiroma, E. J., Siggeirsdottir, K., Simonsick, E. M., Sornay-Rendu, E., Sund, R., Swart, K. M. A., Szulc, P., Tamaki, J., Torgerson, D. J., van Schoor, N. M., van Staa, T. P., Vila, J., Wareham, N. J., Wright, N. C., Yoshimura, N., Zillikens, M. C., Zwart, M., Harvey, N. C., Lorentzon, M., Leslie, W. D., and Kanis, J. A.
Abstract: Summary: The relationship between self-reported falls and fracture risk was estimated in an international meta-analysis of individual-level data from 46 prospective cohorts. Previous falls were associated with an increased fracture risk in women and men and should be considered as an additional risk factor in the FRAX® algorithm. Introduction: Previous falls are a well-documented risk factor for subsequent fracture but have not yet been incorporated into the FRAX algorithm. The aim of this study was to evaluate, in an international meta-analysis, the association between previous falls and subsequent fracture risk and its relation to sex, age, duration of follow-up, and bone mineral density (BMD). Methods: The resource comprised 906,359 women and men (66.9% female) from 46 prospective cohorts. Previous falls were uniformly defined as any fall occurring during the previous year in 43 cohorts; the remaining three cohorts had a different question construct. The association between previous falls and fracture risk (any clinical fracture, osteoporotic fracture, major osteoporotic fracture, and hip fracture) was examined using an extension of the Poisson regression model in each cohort and each sex, followed by random-effects meta-analyses of the weighted beta coefficients. Results: Falls in the past year were reported in 21.4% of individuals. During a follow-up of 9,102,207 person-years, 87,352 fractures occurred of which 19,509 were hip fractures. A previous fall was associated with a significantly increased risk of any clinical fracture both in women (hazard ratio (HR) 1.42, 95% confidence interval (CI) 1.33–1.51) and men (HR 1.53, 95% CI 1.41–1.67). The HRs were of similar magnitude for osteoporotic, major osteoporotic fracture, and hip fracture. Sex significantly modified the association between previous fall and fracture risk, with predictive values being higher in men than in women (e.g., for major osteoporotic fracture, HR 1.53 (95% CI 1.27–1.84) in men vs. HR 1.32
Published: 2024
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7. High platelet count is associated with low bone mineral density: The MrOS Sweden cohort

Author: Kristjansdottir, H.L., Mellström, D., Johansson, P., Karlsson, M., Vandenput, L., Lorentzon, M., Herlitz, H., Ohlsson, C., Lerner, U.H., and Lewerin, C.
Published: 2021
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8. The role of membrane ERα signaling in bone and other major estrogen responsive tissues.

Author: Gustafsson, KL, Farman, H, Henning, P, Lionikaite, V, Movérare-Skrtic, S, Wu, J, Ryberg, H, Koskela, A, Gustafsson, J-Å, Tuukkanen, J, Levin, ER, Ohlsson, C, and Lagerquist, MK
Subjects: Humerus, Liver, Uterus, Adipose Tissue, Thymus Gland, Cell Membrane, Animals, Mice, Estradiol, Estrogen Receptor alpha, Organ Size, Ovariectomy, Signal Transduction, Organ Specificity, Mutation, Female, Lipoylation, Feedback, Physiological, Feedback, Physiological
Abstract: Estrogen receptor α (ERα) signaling leads to cellular responses in several tissues and in addition to nuclear ERα-mediated effects, membrane ERα (mERα) signaling may be of importance. To elucidate the significance, in vivo, of mERα signaling in multiple estrogen-responsive tissues, we have used female mice lacking the ability to localize ERα to the membrane due to a point mutation in the palmitoylation site (C451A), so called Nuclear-Only-ER (NOER) mice. Interestingly, the role of mERα signaling for the estrogen response was highly tissue-dependent, with trabecular bone in the axial skeleton being strongly dependent (>80% reduction in estrogen response in NOER mice), cortical and trabecular bone in long bones, as well as uterus and thymus being partly dependent (40-70% reduction in estrogen response in NOER mice) and effects on liver weight and total body fat mass being essentially independent of mERα (
Published: 2016

9. Increased risk for hip fracture after death of a spouse—further support for bereavement frailty?

Author: Vala, C. H., Lorentzon, M., Sundh, V., Johansson, H., Lewerin, C., Sten, S., Karlsson, M., Ohlsson, C., Johansson, B., Kanis, J. A., and Mellström, D.
Published: 2020
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10. Adrenal-dependent expression of STC2 is a plausible paracrine factor mediating the tumor-induced sclerotic response in intratibial CRPC xenografts

Author: Hagberg Thulin, M., primary, Li, L., additional, Abrahamsson, S., additional, Landin, A., additional, Horkeby, K., additional, Lagerquist, M.K, additional, Ohlsson, C., additional, and Poutanen, M., additional
Published: 2023
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11. Prednisolone treatment reduces the osteogenic effects of loading in mice

Author: Bergström, I., Isaksson, H., Koskela, A., Tuukkanen, J., Ohlsson, C., Andersson, G., and Windahl, S.H.
Published: 2018
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12. A variant near the interleukin-6 gene is associated with fat mass in Caucasian men

Author: Andersson, N, Strandberg, L, Nilsson, S, Adamovic, S, Karlsson, MK, Ljunggren, Ö, Mellström, D, Lane, NE, Zmuda, JM, Nielsen, C, Orwoll, E, Lorentzon, M, Ohlsson, C, and Jansson, J-O
Subjects: Biomedical and Clinical Sciences, Nutrition and Dietetics, Aging, Obesity, Clinical Research, Genetics, Clinical Trials and Supportive Activities, Nutrition, Aetiology, 2.1 Biological and endogenous factors, Cardiovascular, Absorptiometry, Photon, Adiposity, Adolescent, Aged, Body Mass Index, Cross-Sectional Studies, Gene Frequency, Genetic Variation, Genotype, Humans, Interleukin-6, Male, Polymorphism, Single Nucleotide, Receptors, Interleukin-6, Sweden, White People, Young Adult, IL6, IL6R, SNP, rs10242595, Osteoporotic Fractures in Men MrOS Research Group, Medical and Health Sciences, Education, Endocrinology & Metabolism, Biomedical and clinical sciences, Health sciences
Abstract: ContextRegulation of fat mass appears to be associated with immune functions. Studies of knockout mice show that endogenous interleukin (IL)-6 can suppress mature-onset obesity.ObjectiveTo systematically investigate associations of single nucleotide polymorphisms (SNPs) near the IL-6 (IL6) and IL-6 receptor (IL6R) genes with body fat mass, in support for our hypothesis that variants of these genes can be associated with obesity.Design and study subjectsThe Gothenburg Osteoporosis and Obesity Determinants (GOOD) study is a population-based cross-sectional study of 18- to 20-year-old men (n=1049), from the Gothenburg area (Sweden). Major findings were confirmed in two additional cohorts consisting of elderly men from the Osteoporotic Fractures in Men (MrOS) Sweden (n=2851) and MrOS US (n=5611) multicenter population-based studies.Main outcomeThe genotype distributions and their association with fat mass in different compartments, measured with dual-energy X-ray absorptiometry.ResultsOut of 18 evaluated tag SNPs near the IL6 and IL6R genes, a recently identified SNP rs10242595 G/A (minor allele frequency=29%) 3' of the IL6 gene was negatively associated with the primary outcome total body fat mass (effect size -0.11 standard deviation (s.d.) units per A allele, P=0.02). This negative association with fat mass was also confirmed in the combined MrOS Sweden and MrOS US cohorts (effect size -0.05 s.d. units per A allele, P=0.002). When all three cohorts were combined (n=8927, Caucasian subjects), rs10242595(*)A showed a negative association with total body fat mass (effect size -0.05 s.d. units per A allele, P
Published: 2010

13. Interleukin 17A: a Janus-faced regulator of osteoporosis

Author: Scheffler, J. M., Grahnemo, L., Engdahl, C., Drevinge, C., Gustafsson, K. L., Corciulo, C., Lawenius, L., Iwakura, Y., Sjögren, K., Lagerquist, M. K., Carlsten, H., Ohlsson, C., and Islander, U.
Published: 2020
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14. Low risk for hip fracture and high risk for hip arthroplasty due to osteoarthritis among Swedish farmers

Author: Johansson, H., Hongslo Vala, C., Odén, A., Lorentzon, M., McCloskey, E., Kanis, J. A., Harvey, N. C., Ohlsson, C., Stefan Lohmander, L., Kärrholm, J., and Mellström, D.
Published: 2018
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15. Previous fracture and subsequent fracture risk : a meta-analysis to update FRAX

Author: Kanis, J. A., Johansson, H., McCloskey, E. , V, Liu, E., Akesson, K. E., Anderson, F. A., Azagra, R., Bager, C. L., Beaudart, C., Bischoff-Ferrari, H. A., Biver, E., Bruyere, O., Cauley, J. A., Center, J. R., Chapurlat, R., Christiansen, C., Cooper, C., Crandall, C. J., Cummings, S. R., da Silva, J. A. P., Dawson-Hughes, B., Diez-Perez, A., Dufour, A. B., Eisman, J. A., Elders, P. J. M., Ferrari, S., Fujita, Y., Fujiwara, S., Glueer, C. -c., Goldshtein, I., Goltzman, D., Gudnason, V., Hall, J., Hans, D., Hoff, M., Hollick, R. J., Huisman, M., Iki, M., Ish-Shalom, S., Jones, G., Karlsson, M. K., Khosla, S., Kiel, D. P., Koh, W. -p., Koromani, F., Kotowicz, M. A., Kroger, H., Kwok, T., Lamy, O., Langhammer, A., Larijani, B., Lippuner, K., Mellstrom, D., Merlijn, T., Nordström, Anna, Nordström, Peter, O'Neill, T. W., Obermayer-Pietsch, B., Ohlsson, C., Orwoll, E. S., Pasco, J. A., Rivadeneira, F., Schott, A. -M, Shiroma, E. J., Siggeirsdottir, K., Simonsick, E. M., Sornay-Rendu, E., Sund, R., Swart, K. M. A., Szulc, P., Tamaki, J., Torgerson, D. J., van Schoor, N. M., van Staa, T. P., Vila, J., Wareham, N. J., Wright, N. C., Yoshimura, N., Zillikens, M. C., Zwart, M., Vandenput, L., Harvey, N. C., Lorentzon, M., Leslie, W. D., Kanis, J. A., Johansson, H., McCloskey, E. , V, Liu, E., Akesson, K. E., Anderson, F. A., Azagra, R., Bager, C. L., Beaudart, C., Bischoff-Ferrari, H. A., Biver, E., Bruyere, O., Cauley, J. A., Center, J. R., Chapurlat, R., Christiansen, C., Cooper, C., Crandall, C. J., Cummings, S. R., da Silva, J. A. P., Dawson-Hughes, B., Diez-Perez, A., Dufour, A. B., Eisman, J. A., Elders, P. J. M., Ferrari, S., Fujita, Y., Fujiwara, S., Glueer, C. -c., Goldshtein, I., Goltzman, D., Gudnason, V., Hall, J., Hans, D., Hoff, M., Hollick, R. J., Huisman, M., Iki, M., Ish-Shalom, S., Jones, G., Karlsson, M. K., Khosla, S., Kiel, D. P., Koh, W. -p., Koromani, F., Kotowicz, M. A., Kroger, H., Kwok, T., Lamy, O., Langhammer, A., Larijani, B., Lippuner, K., Mellstrom, D., Merlijn, T., Nordström, Anna, Nordström, Peter, O'Neill, T. W., Obermayer-Pietsch, B., Ohlsson, C., Orwoll, E. S., Pasco, J. A., Rivadeneira, F., Schott, A. -M, Shiroma, E. J., Siggeirsdottir, K., Simonsick, E. M., Sornay-Rendu, E., Sund, R., Swart, K. M. A., Szulc, P., Tamaki, J., Torgerson, D. J., van Schoor, N. M., van Staa, T. P., Vila, J., Wareham, N. J., Wright, N. C., Yoshimura, N., Zillikens, M. C., Zwart, M., Vandenput, L., Harvey, N. C., Lorentzon, M., and Leslie, W. D.
Abstract: A large international meta-analysis using primary data from 64 cohorts has quantified the increased risk of fracture associated with a previous history of fracture for future use in FRAX.IntroductionThe aim of this study was to quantify the fracture risk associated with a prior fracture on an international basis and to explore the relationship of this risk with age, sex, time since baseline and bone mineral density (BMD).MethodsWe studied 665,971 men and 1,438,535 women from 64 cohorts in 32 countries followed for a total of 19.5 million person-years. The effect of a prior history of fracture on the risk of any clinical fracture, any osteoporotic fracture, major osteoporotic fracture, and hip fracture alone was examined using an extended Poisson model in each cohort. Covariates examined were age, sex, BMD, and duration of follow-up. The results of the different studies were merged by using the weighted & beta;-coefficients.ResultsA previous fracture history, compared with individuals without a prior fracture, was associated with a significantly increased risk of any clinical fracture (hazard ratio, HR = 1.88; 95% CI = 1.72-2.07). The risk ratio was similar for the outcome of osteoporotic fracture (HR = 1.87; 95% CI = 1.69-2.07), major osteoporotic fracture (HR = 1.83; 95% CI = 1.63-2.06), or for hip fracture (HR = 1.82; 95% CI = 1.62-2.06). There was no significant difference in risk ratio between men and women. Subsequent fracture risk was marginally downward adjusted when account was taken of BMD. Low BMD explained a minority of the risk for any clinical fracture (14%), osteoporotic fracture (17%), and for hip fracture (33%). The risk ratio for all fracture outcomes related to prior fracture decreased significantly with adjustment for age and time since baseline examination.ConclusionA previous history of fracture confers an increased risk of fracture of substantial importance beyond that explained by BMD. The effect is similar in men and women. Its quantitati
Published: 2023
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16. Genetic insights into resting heart rate and its role in cardiovascular disease.

Author: Vegte, Y.J. van de, Eppinga, R.N., Ende, M.Y. van der, Hagemeijer, Y.P., Mahendran, Y., Salfati, E., Smith, A.V., Tan, V.Y., Arking, D.E., Ntalla, I., Appel, E.V., Schurmann, C., Brody, J.A., Rueedi, R., Polasek, O., Sveinbjornsson, G., Lecoeur, C., Ladenvall, C., Zhao, J.H., Isaacs, A., Wang, L., Luan, Jian'an, Hwang, S.J., Mononen, N., Auro, K., Jackson, A.U., Bielak, L.F., Zeng, L., Shah, N., Nethander, M., Campbell, A., Rankinen, T., Pechlivanis, S., Qi, L., Zhao, Wei, Rizzi, F., Tanaka, T., Robino, A., Cocca, M., Lange, L., Müller-Nurasyid, M., Roselli, C., Zhang, W, Kleber, M.E., Guo, X., Lin, H.J., Pavani, F., Galesloot, T.E., Noordam, R., Milaneschi, Y., Schraut, K.E., Hoed, M. den, Degenhardt, F., Trompet, S., Berg, M.E. van den, Pistis, G., Tham, Y.C., Weiss, S., Sim, X.S., Li, H.L., Most, P.J. van der, Nolte, I.M., Lyytikäinen, L.P., Said, M.A., Witte, D.R., Iribarren, C., Launer, L., Ring, S.M., Vries, P.S. de, Sever, P., Linneberg, A., Bottinger, E.P., Padmanabhan, S., Psaty, B.M., Sotoodehnia, N., Kolcic, I., Arnar, D.O., Gudbjartsson, D.F., Holm, H., Balkau, B., Silva, C.T., Newton-Cheh, C.H., Nikus, K., Salo, P., Mohlke, K.L., Peyser, P.A., Schunkert, H., Lorentzon, M., Lahti, J., Rao, D.C., Cornelis, M.C., Faul, J.D., Smith, J.A., Stolarz-Skrzypek, K., Bandinelli, S., Concas, M.P., Sinagra, G., Meitinger, T., Waldenberger, M., Sinner, M.F., Strauch, K., Delgado, G.E., Taylor, K.D., Yao, J., Foco, L., Melander, O., Graaf, J. de, Mutsert, R. de, Geus, E.J.C. de, Johansson, Å., Joshi, P.K., Lind, L., Franke, A., Macfarlane, P.W., Tarasov, K.V., Tan, N., Felix, S.B., Tai, E.S., Quek, D.Q., Snieder, H., Ormel, J., Ingelsson, M., Lindgren, C., Morris, A.P., Raitakari, O.T., Hansen, T., Assimes, T., Gudnason, V., Timpson, N.J., Morrison, A.C., Munroe, P.B., Strachan, D.P., Grarup, N., Loos, R.J.F., Heckbert, S.R., Vollenweider, P., Hayward, C., Stefansson, K., Froguel, P., Groop, L., Wareham, N.J., Duijn, C.M. van, Feitosa, M.F., O'Donnell, C.J., Kähönen, M., Perola, M., Boehnke, M., Kardia, S.L.R., Erdmann, J., Palmer, C.N.A., Ohlsson, C., Porteous, D.J., Eriksson, J.G., Bouchard, C., Moebus, S., Kraft, P., Weir, D.R., Cusi, D., Ferrucci, L., Ulivi, S., Girotto, G., Correa, A., Kääb, S., Peters, A., Chambers, J.C., Kooner, J.S., März, W., Rotter, J.I., Hicks, A.A., Smith, J.G., Kiemeney, L.A.L.M., Mook-Kanamori, D.O., Penninx, B.W.J.H., Gyllensten, U., Wilson, J.F., Burgess, S., Sundström, J., Lieb, W., Jukema, J.W., Eijgelsheim, M., Lakatta, E.L.M., Cheng, C.Y., Dörr, M., Wong, T.Y., Sabanayagam, C., Oldehinkel, A.J., Riese, H., Lehtimäki, T., Verweij, N., Harst, P. van der, Vegte, Y.J. van de, Eppinga, R.N., Ende, M.Y. van der, Hagemeijer, Y.P., Mahendran, Y., Salfati, E., Smith, A.V., Tan, V.Y., Arking, D.E., Ntalla, I., Appel, E.V., Schurmann, C., Brody, J.A., Rueedi, R., Polasek, O., Sveinbjornsson, G., Lecoeur, C., Ladenvall, C., Zhao, J.H., Isaacs, A., Wang, L., Luan, Jian'an, Hwang, S.J., Mononen, N., Auro, K., Jackson, A.U., Bielak, L.F., Zeng, L., Shah, N., Nethander, M., Campbell, A., Rankinen, T., Pechlivanis, S., Qi, L., Zhao, Wei, Rizzi, F., Tanaka, T., Robino, A., Cocca, M., Lange, L., Müller-Nurasyid, M., Roselli, C., Zhang, W, Kleber, M.E., Guo, X., Lin, H.J., Pavani, F., Galesloot, T.E., Noordam, R., Milaneschi, Y., Schraut, K.E., Hoed, M. den, Degenhardt, F., Trompet, S., Berg, M.E. van den, Pistis, G., Tham, Y.C., Weiss, S., Sim, X.S., Li, H.L., Most, P.J. van der, Nolte, I.M., Lyytikäinen, L.P., Said, M.A., Witte, D.R., Iribarren, C., Launer, L., Ring, S.M., Vries, P.S. de, Sever, P., Linneberg, A., Bottinger, E.P., Padmanabhan, S., Psaty, B.M., Sotoodehnia, N., Kolcic, I., Arnar, D.O., Gudbjartsson, D.F., Holm, H., Balkau, B., Silva, C.T., Newton-Cheh, C.H., Nikus, K., Salo, P., Mohlke, K.L., Peyser, P.A., Schunkert, H., Lorentzon, M., Lahti, J., Rao, D.C., Cornelis, M.C., Faul, J.D., Smith, J.A., Stolarz-Skrzypek, K., Bandinelli, S., Concas, M.P., Sinagra, G., Meitinger, T., Waldenberger, M., Sinner, M.F., Strauch, K., Delgado, G.E., Taylor, K.D., Yao, J., Foco, L., Melander, O., Graaf, J. de, Mutsert, R. de, Geus, E.J.C. de, Johansson, Å., Joshi, P.K., Lind, L., Franke, A., Macfarlane, P.W., Tarasov, K.V., Tan, N., Felix, S.B., Tai, E.S., Quek, D.Q., Snieder, H., Ormel, J., Ingelsson, M., Lindgren, C., Morris, A.P., Raitakari, O.T., Hansen, T., Assimes, T., Gudnason, V., Timpson, N.J., Morrison, A.C., Munroe, P.B., Strachan, D.P., Grarup, N., Loos, R.J.F., Heckbert, S.R., Vollenweider, P., Hayward, C., Stefansson, K., Froguel, P., Groop, L., Wareham, N.J., Duijn, C.M. van, Feitosa, M.F., O'Donnell, C.J., Kähönen, M., Perola, M., Boehnke, M., Kardia, S.L.R., Erdmann, J., Palmer, C.N.A., Ohlsson, C., Porteous, D.J., Eriksson, J.G., Bouchard, C., Moebus, S., Kraft, P., Weir, D.R., Cusi, D., Ferrucci, L., Ulivi, S., Girotto, G., Correa, A., Kääb, S., Peters, A., Chambers, J.C., Kooner, J.S., März, W., Rotter, J.I., Hicks, A.A., Smith, J.G., Kiemeney, L.A.L.M., Mook-Kanamori, D.O., Penninx, B.W.J.H., Gyllensten, U., Wilson, J.F., Burgess, S., Sundström, J., Lieb, W., Jukema, J.W., Eijgelsheim, M., Lakatta, E.L.M., Cheng, C.Y., Dörr, M., Wong, T.Y., Sabanayagam, C., Oldehinkel, A.J., Riese, H., Lehtimäki, T., Verweij, N., and Harst, P. van der
Abstract: Contains fulltext : 296013.pdf (Publisher’s version ) (Open Access), Resting heart rate is associated with cardiovascular diseases and mortality in observational and Mendelian randomization studies. The aims of this study are to extend the number of resting heart rate associated genetic variants and to obtain further insights in resting heart rate biology and its clinical consequences. A genome-wide meta-analysis of 100 studies in up to 835,465 individuals reveals 493 independent genetic variants in 352 loci, including 68 genetic variants outside previously identified resting heart rate associated loci. We prioritize 670 genes and in silico annotations point to their enrichment in cardiomyocytes and provide insights in their ECG signature. Two-sample Mendelian randomization analyses indicate that higher genetically predicted resting heart rate increases risk of dilated cardiomyopathy, but decreases risk of developing atrial fibrillation, ischemic stroke, and cardio-embolic stroke. We do not find evidence for a linear or non-linear genetic association between resting heart rate and all-cause mortality in contrast to our previous Mendelian randomization study. Systematic alteration of key differences between the current and previous Mendelian randomization study indicates that the most likely cause of the discrepancy between these studies arises from false positive findings in previous one-sample MR analyses caused by weak-instrument bias at lower P-value thresholds. The results extend our understanding of resting heart rate biology and give additional insights in its role in cardiovascular disease development.
Published: 2023

17. B4GALNT3 regulates glycosylation of sclerostin and bone mass

Author: Movérare-Skrtic, S. (Sofia), Voelkl, J. (Jakob), Nilsson, K. H. (Karin H.), Nethander, M. (Maria), Luong, T. T. (Trang Thi Doan), Alesutan, I. (Ioana), Li, L. (Lei), Wu, J. (Jianyao), Horkeby, K. (Karin), Lagerquist, M. K. (Marie K.), Koskela, A. (Antti), Tuukkanen, J. (Juha), Tobias, J. H. (Jon H.), Lerner, U. H. (Ulf H.), Henning, P. (Petra), Ohlsson, C. (Claes), Movérare-Skrtic, S. (Sofia), Voelkl, J. (Jakob), Nilsson, K. H. (Karin H.), Nethander, M. (Maria), Luong, T. T. (Trang Thi Doan), Alesutan, I. (Ioana), Li, L. (Lei), Wu, J. (Jianyao), Horkeby, K. (Karin), Lagerquist, M. K. (Marie K.), Koskela, A. (Antti), Tuukkanen, J. (Juha), Tobias, J. H. (Jon H.), Lerner, U. H. (Ulf H.), Henning, P. (Petra), and Ohlsson, C. (Claes)
Abstract: Summary Background: Global sclerostin inhibition reduces fracture risk efficiently but has been associated with cardiovascular side effects. The strongest genetic signal for circulating sclerostin is in the B4GALNT3 gene region, but the causal gene is unknown. B4GALNT3 expresses the enzyme beta-1,4-N-acetylgalactosaminyltransferase 3 that transfers N-acetylgalactosamine onto N-acetylglucosaminebeta-benzyl on protein epitopes (LDN-glycosylation). Methods: To determine if B4GALNT3 is the causal gene, B4galnt3−/− mice were developed and serum levels of total sclerostin and LDN-glycosylated sclerostin were analysed and mechanistic studies were performed in osteoblast-like cells. Mendelian randomization was used to determine causal associations. Findings: B4galnt3−/− mice had higher circulating sclerostin levels, establishing B4GALNT3 as a causal gene for circulating sclerostin levels, and lower bone mass. However, serum levels of LDN-glycosylated sclerostin were lower in B4galnt3−/− mice. B4galnt3 and Sost were co-expressed in osteoblast-lineage cells. Overexpression of B4GALNT3 increased while silencing of B4GALNT3 decreased the levels of LDN-glycosylated sclerostin in osteoblast-like cells. Mendelian randomization demonstrated that higher circulating sclerostin levels, genetically predicted by variants in the B4GALNT3 gene, were causally associated with lower BMD and higher risk of fractures but not with higher risk of myocardial infarction or stroke. Glucocorticoid treatment reduced B4galnt3−/− expression in bone and increased circulating sclerostin levels and this may contribute to the observed glucocorticoid-induced bone loss. Interpretation: B4GALNT3 is a key factor for bone physiology via regulation of LDN-glycosylation of sclerostin. We propose that B4GALNT3-mediated LDN-glycosylation of sclerostin may be a bone-specific osteoporosis target, separating the anti-fracture effect of global sclerostin inhibition, from indicated cardiovascular side effects.
Published: 2023

18. Bone-derived IGF-I regulates radial bone growth in adult male mice

Author: Svensson, J. (Johan), Sjögren, K. (Klara), Lawenius, L. (Lina), Koskela, A. (Antti), Tuukkanen, J. (Juha), Nilsson, K. H. (Karin H), Movérare-Skrtic, S. (Sofia), Ohlsson, C. (Claes), Svensson, J. (Johan), Sjögren, K. (Klara), Lawenius, L. (Lina), Koskela, A. (Antti), Tuukkanen, J. (Juha), Nilsson, K. H. (Karin H), Movérare-Skrtic, S. (Sofia), and Ohlsson, C. (Claes)
Abstract: Insulin-like growth factor-I (IGF-I) levels, which are reduced by age, and cortical bone dimensions are major determinants of fracture risk in elderly subjects. Inactivation of liver-derived circulating IGF-I results in reduced periosteal bone expansion in young and older mice. In mice with lifelong depletion of IGF-I in osteoblast lineage cells, the long bones display reduced cortical bone width. However, it has not previously been investigated whether inducible inactivation of IGF-I locally in bone in adult/old mice affects the bone phenotype. Adult tamoxifen-inducible inactivation of IGF-I using a CAGG-CreER mouse model (inducible IGF-IKO mice) substantially reduced IGF-I expression in bone (−55%) but not in liver. Serum IGF-I and body weight were unchanged. We used this inducible mouse model to assess the effect of local IGF-I on the skeleton in adult male mice, avoiding confounding developmental effects. After tamoxifen-induced inactivation of the IGF-I gene at 9 months of age, the skeletal phenotype was determined at 14 months of age. Computed tomography analyses of tibia revealed that the mid-diaphyseal cortical periosteal and endosteal circumferences and calculated bone strength parameters were decreased in inducible IGF-IKO mice compared with controls. Furthermore, 3-point bending showed reduced tibia cortical bone stiffness in inducible IGF-IKO mice. In contrast, the tibia and vertebral trabecular bone volume fraction was unchanged. In conclusion, inactivation of IGF-I in cortical bone with unchanged liver-derived IGF-I in older male mice resulted in reduced radial growth of cortical bone. This suggests that not only circulating IGF-I but also locally derived IGF-I regulates the cortical bone phenotype in older mice.
Published: 2023

19. Transplantation of gut microbiota from old mice into young healthy mice reduces lean mass but not bone mass

Author: Lawenius, L. (Lina), Cowardin, C. (Carrie), Grahnemo, L. (Louise), Scheffler, J. M. (Julia M.), Horkeby, K. (Karin), Engdahl, C. (Cecilia), Wu, J. (Jianyao), Vandenput, L. (Liesbeth), Koskela, A. (Antti), Tuukkanen, J. (Juha), Coward, E. (Eivind), Hveem, K. (Kristian), Langhammer, A. (Arnulf), Abrahamsson, S. (Sanna), Gordon, J. I. (Jeffrey I.), Sjögren, K. (Klara), Ohlsson, C. (Claes), Lawenius, L. (Lina), Cowardin, C. (Carrie), Grahnemo, L. (Louise), Scheffler, J. M. (Julia M.), Horkeby, K. (Karin), Engdahl, C. (Cecilia), Wu, J. (Jianyao), Vandenput, L. (Liesbeth), Koskela, A. (Antti), Tuukkanen, J. (Juha), Coward, E. (Eivind), Hveem, K. (Kristian), Langhammer, A. (Arnulf), Abrahamsson, S. (Sanna), Gordon, J. I. (Jeffrey I.), Sjögren, K. (Klara), and Ohlsson, C. (Claes)
Abstract: Aging is associated with low bone and lean mass as well as alterations in the gut microbiota (GM). In this study, we determined whether the reduced bone mass and relative lean mass observed in old mice could be transferred to healthy young mice by GM transplantation (GMT). GM from old (21-month-old) and young adult (5-month-old) donors was used to colonize germ-free (GF) mice in three separate studies involving still growing 5- or 11-week-old recipients and 17-week-old recipients with minimal bone growth. The GM of the recipient mice was similar to that of the donors, demonstrating successful GMT. GM from old mice did not have statistically significant effects on bone mass or bone strength, but significantly reduced the lean mass percentage of still growing recipient mice when compared with recipients of GM from young adult mice. The levels of propionate in the cecum of mice receiving old donor GM were significantly lower than those in mice receiving young adult donor GM. Bacteroides ovatus was enriched in the microbiota of recipient mice harboring GM from young adult donors. The presence of B. ovatus was not only significantly associated with high lean mass percentage in mice, but also with lean mass adjusted for fat mass in the large human HUNT cohort. In conclusion, GM from old mice reduces lean mass percentage but not bone mass in young, healthy, still growing recipient mice. Future studies are warranted to determine whether GM from young mice improves the musculoskeletal phenotype of frail elderly recipient mice.
Published: 2023

20. The rise and the recent decline of childhood obesity in Swedish boys: the BEST cohort

Author: Bygdell, M, Ohlsson, C, Célind, J, Saternus, J, Sondén, A, and Kindblom, J M
Published: 2017
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21. Increased risk of hip fracture among spouses—evidence of a homogamy effect

Author: Vala, C. H., Odén, A., Lorentzon, M., Sundh, V., Johansson, H., Karlsson, M., Rosengren, B., Ohlsson, C., Johansson, B., Kanis, J., and Mellström, D.
Published: 2017
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22. Update of the fracture risk prediction tool FRAX:a systematic review of potential cohorts and analysis plan

Author: Vandenput, L, Johansson, H, McCloskey, E V, Liu, E, Åkesson, K E, Anderson, F A, Azagra, R, Bager, C L, Beaudart, C, Bischoff-Ferrari, H A, Biver, E, Bruyère, O, Cauley, J A, Center, J R, Chapurlat, R, Christiansen, C, Cooper, C, Crandall, C J, Cummings, S R, da Silva, J A P, Dawson-Hughes, B, Diez-Perez, A, Dufour, A B, Eisman, J A, Elders, P J M, Ferrari, S, Fujita, Y, Fujiwara, S, Glüer, C-C, Goldshtein, I, Goltzman, D, Gudnason, V, Hall, J, Hans, D, Hoff, M, Hollick, R J, Huisman, M, Iki, M, Ish-Shalom, S, Jones, G, Karlsson, M K, Khosla, S, Kiel, D P, Koh, W-P, Koromani, F, Kotowicz, M A, Kröger, H, Kwok, T, Lamy, O, Langhammer, A, Larijani, B, Lippuner, K, Mellström, D, Merlijn, T, Nordström, A, Nordström, P, O'Neill, T W, Obermayer-Pietsch, B, Ohlsson, C, Orwoll, E S, Pasco, J A, Rivadeneira, F, Schei, B, Schott, A-M, Shiroma, E J, Siggeirsdottir, K, Simonsick, E M, Sornay-Rendu, E, Sund, R, Swart, K M A, Szulc, P, Tamaki, J, Torgerson, D J, van Schoor, N M, van Staa, T P, Vila, J, Wareham, N J, Wright, N C, Yoshimura, N, Zillikens, M C, Zwart, M, Harvey, N C, Lorentzon, M, Leslie, W D, and Kanis, J A
Subjects: SDG 3 - Good Health and Well-being, Bone Density, Hip Fractures, Risk Factors, Endocrinology, Diabetes and Metabolism, Humans, Osteoporosis, Prospective Studies, 610 Medicine & health, Risk Assessment, Osteoporotic Fractures
Abstract: We describe the collection of cohorts together with the analysis plan for an update of the fracture risk prediction tool FRAX with respect to current and novel risk factors. The resource comprises 2,138,428 participants with a follow-up of approximately 20 million person-years and 116,117 documented incident major osteoporotic fractures. INTRODUCTION The availability of the fracture risk assessment tool FRAX® has substantially enhanced the targeting of treatment to those at high risk of fracture with FRAX now incorporated into more than 100 clinical osteoporosis guidelines worldwide. The aim of this study is to determine whether the current algorithms can be further optimised with respect to current and novel risk factors. METHODS A computerised literature search was performed in PubMed from inception until May 17, 2019, to identify eligible cohorts for updating the FRAX coefficients. Additionally, we searched the abstracts of conference proceedings of the American Society for Bone and Mineral Research, European Calcified Tissue Society and World Congress of Osteoporosis. Prospective cohort studies with data on baseline clinical risk factors and incident fractures were eligible. RESULTS Of the 836 records retrieved, 53 were selected for full-text assessment after screening on title and abstract. Twelve cohorts were deemed eligible and of these, 4 novel cohorts were identified. These cohorts, together with 60 previously identified cohorts, will provide the resource for constructing an updated version of FRAX comprising 2,138,428 participants with a follow-up of approximately 20 million person-years and 116,117 documented incident major osteoporotic fractures. For each known and candidate risk factor, multivariate hazard functions for hip fracture, major osteoporotic fracture and death will be tested using extended Poisson regression. Sex- and/or ethnicity-specific differences in the weights of the risk factors will be investigated. After meta-analyses of the cohort-specific beta coefficients for each risk factor, models comprising 10-year probability of hip and major osteoporotic fracture, with or without femoral neck bone mineral density, will be computed. CONCLUSIONS These assembled cohorts and described models will provide the framework for an updated FRAX tool enabling enhanced assessment of fracture risk (PROSPERO (CRD42021227266)).
Published: 2022

23. Mechanisms of sclerotic bone growth induced by castration resistant prostate cancer as revealed by human xenografts in vivo

Author: Hagberg Thulin, M., primary, Horkeby, K., additional, Lawenius, L., additional, Wu, J., additional, Ohlsson, C., additional, and Poutanen, M., additional
Published: 2022
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24. TRPV4 deficiency causes sexual dimorphism in bone metabolism and osteoporotic fracture risk

Author: van der Eerden, B.C.J., Oei, L., Roschger, P., Fratzl-Zelman, N., Hoenderop, J.G.J., van Schoor, N.M., Pettersson-Kymmer, U., Schreuders-Koedam, M., Uitterlinden, A.G., Hofman, A., Suzuki, M., Klaushofer, K., Ohlsson, C., Lips, P.J.A., Rivadeneira, F., Bindels, R.J.M., and van Leeuwen, J.P.T.M.
Published: 2013
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25. FRAX predicts incident falls in elderly men: findings from MrOs Sweden

Author: Harvey, N. C., Johansson, H., Odén, A., Karlsson, M. K., Rosengren, B. E., Ljunggren, Ö., Cooper, C., McCloskey, E., Kanis, J. A., Ohlsson, C., and Mellström, D.
Published: 2016
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26. Update of the fracture risk prediction tool FRAX: A systematic review of potential cohorts and analysis plan

Author: Vandenput, Lisbeth, Johansson, H., McCloskey, E. V., Liu, E., Akesson, Kristina E., Anderson, F.A., Azagra, R., Bager, C.L., Beaudart, Charlotte, Bischoff-Ferrari, H.A., Biver, E., Bruyère, Olivier, Cauley, J.A., Center, J.R., Chapulat, R., Christiansen, C., Cooper, Cyrus, Crandall, Carolyn J., Cummings, Steven, da Silva, J.A.P., Dawson-Hughes, Bess, Diez-Pérez, A., Dufour, Alyssa B., Eisman, J.A., Elders, Petra J.M., Ferrari, S., Fujita, Y., Fujiwara, S., Glüer, C.C., Goldstein, I., Goltzman, D., Gudnason, V., Hall, J., Hans, D., Hoff, M., Hollick, Rosemary J., Huisman, Martijn, Iki, M., Ish-Shalom, S., Jones, G., Karlsson, M.K., Khosla, Sundeep, Kiel, D.P., Koh, W-P, Koromani, F., Kotowicz, M.A., Kroger, H., Kwok, T., Lamy, Olivier, Langhammer, Arnulf, Larijani, Bagher, Lippuner, Kurt, Mellström, D, Merlijn, Thomas, Nordstrom, A., Nordstrom, P., O'Neill, T.W., Obermayer-Piestch, B., Harvey, Nicholas, Kanis, J A., Ohlsson, C., Orwoll, E.S., Pasco, J.A., Rivadeneira, F., Schei, B., Schott, A.M., Shiroma, E.J., Siggeirsdottir, K., Simonsick, E.M., Sornay-Rendu, E., Sund, R., Swart, K.M.A., Szulc, P., Tamaki, J., Torgerson, D.J., Van Schoor, N.M., van Staa, T.P., Vilas, J.C., Wareham, N.J, Wright, N.C., Yoshimura, N., Zillikens, M.C., Zwart, M., Lorentzon, M., and Leslie, W.D.
Abstract: Summary: We describe the collection of cohorts together with the analysis plan for an update of the fracture risk prediction tool FRAX with respect to current and novel risk factors. The resource comprises 2,138,428 participants with a follow-up of approximately 20 million person-years and 116,117 documented incident major osteoporotic fractures. Introduction: The availability of the fracture risk assessment tool FRAX® has substantially enhanced the targeting of treatment to those at high risk of fracture with FRAX now incorporated into more than 100 clinical osteoporosis guidelines worldwide. The aim of this study is to determine whether the current algorithms can be further optimised with respect to current and novel risk factors. Methods: A computerised literature search was performed in PubMed from inception until May 17, 2019, to identify eligible cohorts for updating the FRAX coefficients. Additionally, we searched the abstracts of conference proceedings of the American Society for Bone and Mineral Research, European Calcified Tissue Society and World Congress of Osteoporosis. Prospective cohort studies with data on baseline clinical risk factors and incident fractures were eligible. Results: Of the 836 records retrieved, 53 were selected for full-text assessment after screening on title and abstract. Twelve cohorts were deemed eligible and of these, 4 novel cohorts were identified. These cohorts, together with 60 previously identified cohorts, will provide the resource for constructing an updated version of FRAX comprising 2,138,428 participants with a follow-up of approximately 20 million person-years and 116,117 documented incident major osteoporotic fractures. For each known and candidate risk factor, multivariate hazard functions for hip fracture, major osteoporotic fracture and death will be tested using extended Poisson regression. Sex- and/or ethnicity-specific differences in the weights of the risk factors will be investigated. After meta-analyses of the cohort-specific beta coefficients for each risk factor, models comprising 10-year probability of hip and major osteoporotic fracture, with or without femoral neck bone mineral density, will be computed. Conclusions: These assembled cohorts and described models will provide the framework for an updated FRAX tool enabling enhanced assessment of fracture risk (PROSPERO (CRD42021227266)).
Published: 2022

27. Role of the microbiome in regulating bone metabolism and susceptibility to osteoporosis

Author: Cronin, O., Lanham-New, S.A., Corfe, B.M., Gregson, C.L., Darling, A.L., Ahmadi, K.R., Gibson, P.S., Tobias, J.H., Ward, K.A., Traka, M.H., Rossi, M., Williams, C., Harvey, N.C., Cooper, C., Whelan, K., Uitterlinden, A.G., O’Toole, P.W., Ohlsson, C., Compston, J.E., and Ralston, S.H.
Abstract: The human microbiota functions at the interface between diet, medication-use, lifestyle, host immune development and health. It is therefore closely aligned with many of the recognised modifiable factors that influence bone mass accrual in the young, and bone maintenance and skeletal decline in older populations. While understanding of the relationship between micro-organisms and bone health is still in its infancy, two decades of broader microbiome research and discovery supports a role of the human gut microbiome in the regulation of bone metabolism and pathogenesis of osteoporosis as well as its prevention and treatment. Pre-clinical research has demonstrated biological interactions between the microbiome and bone metabolism. Furthermore, observational studies and randomized clinical trials have indicated that therapeutic manipulation of the microbiota by oral administration of probiotics may influence bone turnover and prevent bone loss in humans. In this paper, we summarize the content, discussion and conclusions of a workshop held by the Osteoporosis and Bone Research Academy of the Royal Osteoporosis Society in October, 2020. We provide a detailed review of the literature examining the relationship between the microbiota and bone health in animal models and in humans, as well as formulating the agenda for key research priorities required to advance this field. We also underscore the potential pitfalls in this research field that should be avoided and provide methodological recommendations to facilitate bridging the gap from promising concept to a potential cause and intervention target for osteoporosis.
Published: 2022

28. Steroidogenic factor 1 (NR5A1) induces multiple transcriptional changes during differentiation of human gonadal-like cells

Author: Sepponen, K. (Kirsi), Lundin, K. (Karolina), Yohannes, D. A. (Dawit A.), Vuoristo, S. (Sanna), Balboa, D. (Diego), Poutanen, M. (Matti), Ohlsson, C. (Claes), Hustad, S. (Steinar), Bifulco, E. (Ersilia), Paloviita, P. (Pauliina), Otonkoski, T. (Timo), Ritvos, O. (Olli), Sainio, K. (Kirsi), Tapanainen, J. S. (Juha S.), Tuuri, T. (Timo), Sepponen, K. (Kirsi), Lundin, K. (Karolina), Yohannes, D. A. (Dawit A.), Vuoristo, S. (Sanna), Balboa, D. (Diego), Poutanen, M. (Matti), Ohlsson, C. (Claes), Hustad, S. (Steinar), Bifulco, E. (Ersilia), Paloviita, P. (Pauliina), Otonkoski, T. (Timo), Ritvos, O. (Olli), Sainio, K. (Kirsi), Tapanainen, J. S. (Juha S.), and Tuuri, T. (Timo)
Abstract: Nuclear receptor subfamily 5 group A member 1 (NR5A1) encodes steroidogenic factor 1 (SF1), a key regulatory factor that determines gonadal development and coordinates endocrine functions. Here, we have established a stem cell-based model of human gonadal development and applied it to evaluate the effects of NR5A1 during the transition from bipotential gonad to testicular cells. We combined directed differentiation of human induced pluripotent stem cells (46,XY) with activation of endogenous NR5A1 expression by conditionally-inducible CRISPR activation. The resulting male gonadal-like cells expressed several Sertoli cell transcripts, secreted anti-Müllerian hormone and responded to follicle-stimulating hormone by producing sex steroid intermediates. These characteristics were not induced without NR5A1 activation. A total of 2691 differentially expressed genetic elements, including both coding and non-coding RNAs, were detected immediately following activation of NR5A1 expression. Of those, we identified novel gonad-related putative NR5A1 targets, such as SCARA5, which we validated also by immunocytochemistry. In addition, NR5A1 activation was associated with dynamic expression of multiple gonad- and infertility-related differentially expressed genes. In conclusion, by combining targeted differentiation and endogenous activation of NR5A1 we have for the first time, been able to examine in detail the effects of NR5A1 in early human gonadal cells. The model and results obtained provide a useful resource for future investigations exploring the causative reasons for gonadal dysgenesis and infertility in humans.
Published: 2022

29. A saturated map of common genetic variants associated with human height

Author: Yengo, L, Vedantam, S, Marouli, E, Sidorenko, J, Bartell, E, Sakaue, S, Graff, M, Eliasen, AU, Jiang, Y, Raghavan, S, Miao, J, Arias, JD, Graham, SE, Mukamel, RE, Spracklen, CN, Yin, X, Chen, S-H, Ferreira, T, Highland, HH, Ji, Y, Karaderi, T, Lin, K, Lull, K, Malden, DE, Medina-Gomez, C, Machado, M, Moore, A, Rueger, S, Sim, X, Vrieze, S, Ahluwalia, TS, Akiyama, M, Allison, MA, Alvarez, M, Andersen, MK, Ani, A, Appadurai, V, Arbeeva, L, Bhaskar, S, Bielak, LF, Bollepalli, S, Bonnycastle, LL, Bork-Jensen, J, Bradfield, JP, Bradford, Y, Braund, PS, Brody, JA, Burgdorf, KS, Cade, BE, Cai, H, Cai, Q, Campbell, A, Canadas-Garre, M, Catamo, E, Chai, J-F, Chai, X, Chang, L-C, Chang, Y-C, Chen, C-H, Chesi, A, Choi, SH, Chung, R-H, Cocca, M, Concas, MP, Couture, C, Cuellar-Partida, G, Danning, R, Daw, EW, Degenhard, F, Delgado, GE, Delitala, A, Demirkan, A, Deng, X, Devineni, P, Dietl, A, Dimitriou, M, Dimitrov, L, Dorajoo, R, Ekici, AB, Engmann, JE, Fairhurst-Hunter, Z, Farmaki, A-E, Faul, JD, Fernandez-Lopez, J-C, Forer, L, Francescatto, M, Freitag-Wolf, S, Fuchsberger, C, Galesloot, TE, Gao, Y, Gao, Z, Geller, F, Giannakopoulou, O, Giulianini, F, Gjesing, AP, Goel, A, Gordon, SD, Gorski, M, Grove, J, Guo, X, Gustafsson, S, Haessler, J, Hansen, TF, Havulinna, AS, Haworth, SJ, He, J, Heard-Costa, N, Hebbar, P, Hindy, G, Ho, Y-LA, Hofer, E, Holliday, E, Horn, K, Hornsby, WE, Hottenga, J-J, Huang, H, Huang, J, Huerta-Chagoya, A, Huffman, JE, Hung, Y-J, Huo, S, Hwang, MY, Iha, H, Ikeda, DD, Isono, M, Jackson, AU, Jager, S, Jansen, IE, Johansson, I, Jonas, JB, Jonsson, A, Jorgensen, T, Kalafati, I-P, Kanai, M, Kanoni, S, Karhus, LL, Kasturiratne, A, Katsuya, T, Kawaguchi, T, Kember, RL, Kentistou, KA, Kim, H-N, Kim, YJ, Kleber, ME, Knol, MJ, Kurbasic, A, Lauzon, M, Le, P, Lea, R, Lee, J-Y, Leonard, HL, Li, SA, Li, X, Liang, J, Lin, H, Lin, S-Y, Liu, J, Liu, X, Lo, KS, Long, J, Lores-Motta, L, Luan, J, Lyssenko, V, Lyytikainen, L-P, Mahajan, A, Mamakou, V, Mangino, M, Manichaikul, A, Marten, J, Mattheisen, M, Mavarani, L, McDaid, AF, Meidtner, K, Melendez, TL, Mercader, JM, Milaneschi, Y, Miller, JE, Millwood, IY, Mishra, PP, Mitchell, RE, Mollehave, LT, Morgan, A, Mucha, S, Munz, M, Nakatochi, M, Nelson, CP, Nethander, M, Nho, CW, Nielsen, AA, Nolte, IM, Nongmaithem, SS, Noordam, R, Ntalla, I, Nutile, T, Pandit, A, Christofidou, P, Parna, K, Pauper, M, Petersen, ERB, Petersen, L, Pitkanen, N, Polasek, O, Poveda, A, Preuss, MH, Pyarajan, S, Raffield, LM, Rakugi, H, Ramirez, J, Rasheed, A, Raven, D, Rayner, NW, Riveros, C, Rohde, R, Ruggiero, D, Ruotsalainen, SE, Ryan, KA, Sabater-Lleal, M, Saxena, R, Scholz, M, Sendamarai, A, Shen, B, Shi, J, Shin, JH, Sidore, C, Sitlani, CM, Slieker, RKC, Smit, RAJ, Smith, A, Smith, JA, Smyth, LJ, Southam, LE, Steinthorsdottir, V, Sun, L, Takeuchi, F, Tallapragada, D, Taylor, KD, Tayo, BO, Tcheandjieu, C, Terzikhan, N, Tesolin, P, Teumer, A, Theusch, E, Thompson, DJ, Thorleifsson, G, Timmers, PRHJ, Trompet, S, Turman, C, Vaccargiu, S, van der Laan, SW, van der Most, PJ, van Klinken, JB, van Setten, J, Verma, SS, Verweij, N, Veturi, Y, Wang, CA, Wang, C, Wang, L, Wang, Z, Warren, HR, Wei, WB, Wickremasinghe, AR, Wielscher, M, Wiggins, KL, Winsvold, BS, Wong, A, Wu, Y, Wuttke, M, Xia, R, Xie, T, Yamamoto, K, Yang, J, Yao, J, Young, H, Yousri, NA, Yu, L, Zeng, L, Zhang, W, Zhang, X, Zhao, J-H, Zhao, W, Zhou, W, Zimmermann, ME, Zoledziewska, M, Adair, LS, Adams, HHH, Aguilar-Salinas, CA, Al-Mulla, F, Arnett, DK, Asselbergs, FW, Asvold, BO, Attia, J, Banas, B, Bandinelli, S, Bennett, DA, Bergler, T, Bharadwaj, D, Biino, G, Bisgaard, H, Boerwinkle, E, Boger, CA, Bonnelykke, K, Boomsma, D, Borglum, AD, Borja, JB, Bouchard, C, Bowden, DW, Brandslund, I, Brumpton, B, Buring, JE, Caulfield, MJ, Chambers, JC, Chandak, GR, Chanock, SJ, Chaturvedi, N, Chen, Y-DI, Chen, Z, Cheng, C-Y, Christophersen, IE, Ciullo, M, Cole, JW, Collins, FS, Cooper, RS, Cruz, M, Cucca, F, Cupples, LA, Cutler, MJ, Damrauer, SM, Dantoft, TM, de Borst, GJ, de Groot, LCPGM, De Jager, PL, de Kleijn, DP, de Silva, HJ, Dedoussis, G, den Hollander, A, Du, S, Easton, DF, Elders, PJM, Eliassen, AH, Ellinor, PT, Elmstahl, S, Erdmann, J, Evans, MK, Fatkin, D, Feenstra, B, Feitosa, MF, Ferrucci, L, Ford, I, Fornage, M, Franke, A, Franks, PW, Freedman, B, Gasparini, P, Gieger, C, Girotto, G, Goddard, ME, Golightly, YM, Gonzalez-Villalpando, C, Gordon-Larsen, P, Grallert, H, Grant, SFA, Grarup, N, Griffiths, L, Gudnason, V, Haiman, C, Hakonarson, H, Hansen, T, Hartman, CA, Hattersley, AT, Hayward, C, Heckbert, SR, Heng, C-K, Hengstenberg, C, Hewitt, AW, Hishigaki, H, Hoyng, CB, Huang, PL, Huang, W, Hunt, SC, Hveem, K, Hypponen, E, Iacono, WG, Ichihara, S, Ikram, MA, Isasi, CR, Jackson, RD, Jarvelin, M-R, Jin, Z-B, Jockel, K-H, Joshi, PK, Jousilahti, P, Jukema, JW, Kahonen, M, Kamatani, Y, Kang, KD, Kaprio, J, Kardia, SLR, Karpe, F, Kato, N, Kee, F, Kessler, T, Khera, A, Khor, CC, Kiemeney, LALM, Kim, B-J, Kim, EK, Kim, H-L, Kirchhof, P, Kivimaki, M, Koh, W-P, Koistinen, HA, Kolovou, GD, Kooner, JS, Kooperberg, C, Kottgen, A, Kovacs, P, Kraaijeveld, A, Kraft, P, Krauss, RM, Kumari, M, Kutalik, Z, Laakso, M, Lange, LA, Langenberg, C, Launer, LJ, Le Marchand, L, Lee, H, Lee, NR, Lehtimaki, T, Li, H, Li, L, Lieb, W, Lin, X, Lind, L, Linneberg, A, Liu, C-T, Loeffler, M, London, B, Lubitz, SA, Lye, SJ, Mackey, DA, Magi, R, Magnusson, PKE, Marcus, GM, Vidal, PM, Martin, NG, Marz, W, Matsuda, F, McGarrah, RW, McGue, M, McKnight, AJ, Medland, SE, Mellstrom, D, Metspalu, A, Mitchell, BD, Mitchell, P, Mook-Kanamori, DO, Morris, AD, Mucci, LA, Munroe, PB, Nalls, MA, Nazarian, S, Nelson, AE, Neville, MJ, Newton-Cheh, C, Nielsen, CS, Nothen, MM, Ohlsson, C, Oldehinkel, AJ, Orozco, L, Pahkala, K, Pajukanta, P, Palmer, CNA, Parra, EJ, Pattaro, C, Pedersen, O, Pennell, CE, Penninx, BWJH, Perusse, L, Peters, A, Peyser, PA, Porteous, DJ, Posthuma, D, Power, C, Pramstaller, PP, Province, MA, Qi, Q, Qu, J, Rader, DJ, Raitakari, OT, Ralhan, S, Rallidis, LS, Rao, DC, Redline, S, Reilly, DF, Reiner, AP, Rhee, SY, Ridker, PM, Rienstra, M, Ripatti, S, Ritchie, MD, Roden, DM, Rosendaal, FR, Rotter, J, Rudan, I, Rutters, F, Sabanayagam, C, Saleheen, D, Salomaa, V, Samani, NJ, Sanghera, DK, Sattar, N, Schmidt, B, Schmidt, H, Schmidt, R, Schulze, MB, Schunkert, H, Scott, LJ, Scott, RJ, Sever, P, Shiroma, EJ, Shoemaker, MB, Shu, X-O, Simonsick, EM, Sims, M, Singh, JR, Singleton, AB, Sinner, MF, Smith, JG, Snieder, H, Spector, TD, Stampfer, MJ, Stark, KJ, Strachan, DP, t' Hart, LM, Tabara, Y, Tang, H, Tardif, J-C, Thanaraj, TA, Timpson, NJ, Tonjes, A, Tremblay, A, Tuomi, T, Tuomilehto, J, Tusie-Luna, M-T, Uitterlinden, AG, van Dam, RM, van der Harst, P, Van der Velde, N, van Duijn, CM, van Schoor, NM, Vitart, V, Volker, U, Vollenweider, P, Volzke, H, Wacher-Rodarte, NH, Walker, M, Wang, YX, Wareham, NJ, Watanabe, RM, Watkins, H, Weir, DR, Werge, TM, Widen, E, Wilkens, LR, Willemsen, G, Willett, WC, Wilson, JF, Wong, T-Y, Woo, J-T, Wright, AF, Wu, J-Y, Xu, H, Yajnik, CS, Yokota, M, Yuan, J-M, Zeggini, E, Zemel, BS, Zheng, W, Zhu, X, Zmuda, JM, Zonderman, AB, Zwart, J-A, Chasman, D, Cho, YS, Heid, IM, McCarthy, M, Ng, MCY, O'Donnell, CJ, Rivadeneira, F, Thorsteinsdottir, U, Sun, Y, Tai, ES, Boehnke, M, Deloukas, P, Justice, AE, Lindgren, CM, Loos, RJF, Mohlke, KL, North, KE, Stefansson, K, Walters, RG, Winkler, TW, Young, KL, Loh, P-R, Esko, T, Assimes, TL, Auton, A, Abecasis, GR, Willer, CJ, Locke, AE, Berndt, S, Lettre, G, Frayling, TM, Okada, Y, Wood, AR, Visscher, PM, Hirschhorn, JN, Yengo, L, Vedantam, S, Marouli, E, Sidorenko, J, Bartell, E, Sakaue, S, Graff, M, Eliasen, AU, Jiang, Y, Raghavan, S, Miao, J, Arias, JD, Graham, SE, Mukamel, RE, Spracklen, CN, Yin, X, Chen, S-H, Ferreira, T, Highland, HH, Ji, Y, Karaderi, T, Lin, K, Lull, K, Malden, DE, Medina-Gomez, C, Machado, M, Moore, A, Rueger, S, Sim, X, Vrieze, S, Ahluwalia, TS, Akiyama, M, Allison, MA, Alvarez, M, Andersen, MK, Ani, A, Appadurai, V, Arbeeva, L, Bhaskar, S, Bielak, LF, Bollepalli, S, Bonnycastle, LL, Bork-Jensen, J, Bradfield, JP, Bradford, Y, Braund, PS, Brody, JA, Burgdorf, KS, Cade, BE, Cai, H, Cai, Q, Campbell, A, Canadas-Garre, M, Catamo, E, Chai, J-F, Chai, X, Chang, L-C, Chang, Y-C, Chen, C-H, Chesi, A, Choi, SH, Chung, R-H, Cocca, M, Concas, MP, Couture, C, Cuellar-Partida, G, Danning, R, Daw, EW, Degenhard, F, Delgado, GE, Delitala, A, Demirkan, A, Deng, X, Devineni, P, Dietl, A, Dimitriou, M, Dimitrov, L, Dorajoo, R, Ekici, AB, Engmann, JE, Fairhurst-Hunter, Z, Farmaki, A-E, Faul, JD, Fernandez-Lopez, J-C, Forer, L, Francescatto, M, Freitag-Wolf, S, Fuchsberger, C, Galesloot, TE, Gao, Y, Gao, Z, Geller, F, Giannakopoulou, O, Giulianini, F, Gjesing, AP, Goel, A, Gordon, SD, Gorski, M, Grove, J, Guo, X, Gustafsson, S, Haessler, J, Hansen, TF, Havulinna, AS, Haworth, SJ, He, J, Heard-Costa, N, Hebbar, P, Hindy, G, Ho, Y-LA, Hofer, E, Holliday, E, Horn, K, Hornsby, WE, Hottenga, J-J, Huang, H, Huang, J, Huerta-Chagoya, A, Huffman, JE, Hung, Y-J, Huo, S, Hwang, MY, Iha, H, Ikeda, DD, Isono, M, Jackson, AU, Jager, S, Jansen, IE, Johansson, I, Jonas, JB, Jonsson, A, Jorgensen, T, Kalafati, I-P, Kanai, M, Kanoni, S, Karhus, LL, Kasturiratne, A, Katsuya, T, Kawaguchi, T, Kember, RL, Kentistou, KA, Kim, H-N, Kim, YJ, Kleber, ME, Knol, MJ, Kurbasic, A, Lauzon, M, Le, P, Lea, R, Lee, J-Y, Leonard, HL, Li, SA, Li, X, Liang, J, Lin, H, Lin, S-Y, Liu, J, Liu, X, Lo, KS, Long, J, Lores-Motta, L, Luan, J, Lyssenko, V, Lyytikainen, L-P, Mahajan, A, Mamakou, V, Mangino, M, Manichaikul, A, Marten, J, Mattheisen, M, Mavarani, L, McDaid, AF, Meidtner, K, Melendez, TL, Mercader, JM, Milaneschi, Y, Miller, JE, Millwood, IY, Mishra, PP, Mitchell, RE, Mollehave, LT, Morgan, A, Mucha, S, Munz, M, Nakatochi, M, Nelson, CP, Nethander, M, Nho, CW, Nielsen, AA, Nolte, IM, Nongmaithem, SS, Noordam, R, Ntalla, I, Nutile, T, Pandit, A, Christofidou, P, Parna, K, Pauper, M, Petersen, ERB, Petersen, L, Pitkanen, N, Polasek, O, Poveda, A, Preuss, MH, Pyarajan, S, Raffield, LM, Rakugi, H, Ramirez, J, Rasheed, A, Raven, D, Rayner, NW, Riveros, C, Rohde, R, Ruggiero, D, Ruotsalainen, SE, Ryan, KA, Sabater-Lleal, M, Saxena, R, Scholz, M, Sendamarai, A, Shen, B, Shi, J, Shin, JH, Sidore, C, Sitlani, CM, Slieker, RKC, Smit, RAJ, Smith, A, Smith, JA, Smyth, LJ, Southam, LE, Steinthorsdottir, V, Sun, L, Takeuchi, F, Tallapragada, D, Taylor, KD, Tayo, BO, Tcheandjieu, C, Terzikhan, N, Tesolin, P, Teumer, A, Theusch, E, Thompson, DJ, Thorleifsson, G, Timmers, PRHJ, Trompet, S, Turman, C, Vaccargiu, S, van der Laan, SW, van der Most, PJ, van Klinken, JB, van Setten, J, Verma, SS, Verweij, N, Veturi, Y, Wang, CA, Wang, C, Wang, L, Wang, Z, Warren, HR, Wei, WB, Wickremasinghe, AR, Wielscher, M, Wiggins, KL, Winsvold, BS, Wong, A, Wu, Y, Wuttke, M, Xia, R, Xie, T, Yamamoto, K, Yang, J, Yao, J, Young, H, Yousri, NA, Yu, L, Zeng, L, Zhang, W, Zhang, X, Zhao, J-H, Zhao, W, Zhou, W, Zimmermann, ME, Zoledziewska, M, Adair, LS, Adams, HHH, Aguilar-Salinas, CA, Al-Mulla, F, Arnett, DK, Asselbergs, FW, Asvold, BO, Attia, J, Banas, B, Bandinelli, S, Bennett, DA, Bergler, T, Bharadwaj, D, Biino, G, Bisgaard, H, Boerwinkle, E, Boger, CA, Bonnelykke, K, Boomsma, D, Borglum, AD, Borja, JB, Bouchard, C, Bowden, DW, Brandslund, I, Brumpton, B, Buring, JE, Caulfield, MJ, Chambers, JC, Chandak, GR, Chanock, SJ, Chaturvedi, N, Chen, Y-DI, Chen, Z, Cheng, C-Y, Christophersen, IE, Ciullo, M, Cole, JW, Collins, FS, Cooper, RS, Cruz, M, Cucca, F, Cupples, LA, Cutler, MJ, Damrauer, SM, Dantoft, TM, de Borst, GJ, de Groot, LCPGM, De Jager, PL, de Kleijn, DP, de Silva, HJ, Dedoussis, G, den Hollander, A, Du, S, Easton, DF, Elders, PJM, Eliassen, AH, Ellinor, PT, Elmstahl, S, Erdmann, J, Evans, MK, Fatkin, D, Feenstra, B, Feitosa, MF, Ferrucci, L, Ford, I, Fornage, M, Franke, A, Franks, PW, Freedman, B, Gasparini, P, Gieger, C, Girotto, G, Goddard, ME, Golightly, YM, Gonzalez-Villalpando, C, Gordon-Larsen, P, Grallert, H, Grant, SFA, Grarup, N, Griffiths, L, Gudnason, V, Haiman, C, Hakonarson, H, Hansen, T, Hartman, CA, Hattersley, AT, Hayward, C, Heckbert, SR, Heng, C-K, Hengstenberg, C, Hewitt, AW, Hishigaki, H, Hoyng, CB, Huang, PL, Huang, W, Hunt, SC, Hveem, K, Hypponen, E, Iacono, WG, Ichihara, S, Ikram, MA, Isasi, CR, Jackson, RD, Jarvelin, M-R, Jin, Z-B, Jockel, K-H, Joshi, PK, Jousilahti, P, Jukema, JW, Kahonen, M, Kamatani, Y, Kang, KD, Kaprio, J, Kardia, SLR, Karpe, F, Kato, N, Kee, F, Kessler, T, Khera, A, Khor, CC, Kiemeney, LALM, Kim, B-J, Kim, EK, Kim, H-L, Kirchhof, P, Kivimaki, M, Koh, W-P, Koistinen, HA, Kolovou, GD, Kooner, JS, Kooperberg, C, Kottgen, A, Kovacs, P, Kraaijeveld, A, Kraft, P, Krauss, RM, Kumari, M, Kutalik, Z, Laakso, M, Lange, LA, Langenberg, C, Launer, LJ, Le Marchand, L, Lee, H, Lee, NR, Lehtimaki, T, Li, H, Li, L, Lieb, W, Lin, X, Lind, L, Linneberg, A, Liu, C-T, Loeffler, M, London, B, Lubitz, SA, Lye, SJ, Mackey, DA, Magi, R, Magnusson, PKE, Marcus, GM, Vidal, PM, Martin, NG, Marz, W, Matsuda, F, McGarrah, RW, McGue, M, McKnight, AJ, Medland, SE, Mellstrom, D, Metspalu, A, Mitchell, BD, Mitchell, P, Mook-Kanamori, DO, Morris, AD, Mucci, LA, Munroe, PB, Nalls, MA, Nazarian, S, Nelson, AE, Neville, MJ, Newton-Cheh, C, Nielsen, CS, Nothen, MM, Ohlsson, C, Oldehinkel, AJ, Orozco, L, Pahkala, K, Pajukanta, P, Palmer, CNA, Parra, EJ, Pattaro, C, Pedersen, O, Pennell, CE, Penninx, BWJH, Perusse, L, Peters, A, Peyser, PA, Porteous, DJ, Posthuma, D, Power, C, Pramstaller, PP, Province, MA, Qi, Q, Qu, J, Rader, DJ, Raitakari, OT, Ralhan, S, Rallidis, LS, Rao, DC, Redline, S, Reilly, DF, Reiner, AP, Rhee, SY, Ridker, PM, Rienstra, M, Ripatti, S, Ritchie, MD, Roden, DM, Rosendaal, FR, Rotter, J, Rudan, I, Rutters, F, Sabanayagam, C, Saleheen, D, Salomaa, V, Samani, NJ, Sanghera, DK, Sattar, N, Schmidt, B, Schmidt, H, Schmidt, R, Schulze, MB, Schunkert, H, Scott, LJ, Scott, RJ, Sever, P, Shiroma, EJ, Shoemaker, MB, Shu, X-O, Simonsick, EM, Sims, M, Singh, JR, Singleton, AB, Sinner, MF, Smith, JG, Snieder, H, Spector, TD, Stampfer, MJ, Stark, KJ, Strachan, DP, t' Hart, LM, Tabara, Y, Tang, H, Tardif, J-C, Thanaraj, TA, Timpson, NJ, Tonjes, A, Tremblay, A, Tuomi, T, Tuomilehto, J, Tusie-Luna, M-T, Uitterlinden, AG, van Dam, RM, van der Harst, P, Van der Velde, N, van Duijn, CM, van Schoor, NM, Vitart, V, Volker, U, Vollenweider, P, Volzke, H, Wacher-Rodarte, NH, Walker, M, Wang, YX, Wareham, NJ, Watanabe, RM, Watkins, H, Weir, DR, Werge, TM, Widen, E, Wilkens, LR, Willemsen, G, Willett, WC, Wilson, JF, Wong, T-Y, Woo, J-T, Wright, AF, Wu, J-Y, Xu, H, Yajnik, CS, Yokota, M, Yuan, J-M, Zeggini, E, Zemel, BS, Zheng, W, Zhu, X, Zmuda, JM, Zonderman, AB, Zwart, J-A, Chasman, D, Cho, YS, Heid, IM, McCarthy, M, Ng, MCY, O'Donnell, CJ, Rivadeneira, F, Thorsteinsdottir, U, Sun, Y, Tai, ES, Boehnke, M, Deloukas, P, Justice, AE, Lindgren, CM, Loos, RJF, Mohlke, KL, North, KE, Stefansson, K, Walters, RG, Winkler, TW, Young, KL, Loh, P-R, Esko, T, Assimes, TL, Auton, A, Abecasis, GR, Willer, CJ, Locke, AE, Berndt, S, Lettre, G, Frayling, TM, Okada, Y, Wood, AR, Visscher, PM, and Hirschhorn, JN
Abstract: Common single-nucleotide polymorphisms (SNPs) are predicted to collectively explain 40-50% of phenotypic variation in human height, but identifying the specific variants and associated regions requires huge sample sizes1. Here, using data from a genome-wide association study of 5.4 million individuals of diverse ancestries, we show that 12,111 independent SNPs that are significantly associated with height account for nearly all of the common SNP-based heritability. These SNPs are clustered within 7,209 non-overlapping genomic segments with a mean size of around 90 kb, covering about 21% of the genome. The density of independent associations varies across the genome and the regions of increased density are enriched for biologically relevant genes. In out-of-sample estimation and prediction, the 12,111 SNPs (or all SNPs in the HapMap 3 panel2) account for 40% (45%) of phenotypic variance in populations of European ancestry but only around 10-20% (14-24%) in populations of other ancestries. Effect sizes, associated regions and gene prioritization are similar across ancestries, indicating that reduced prediction accuracy is likely to be explained by linkage disequilibrium and differences in allele frequency within associated regions. Finally, we show that the relevant biological pathways are detectable with smaller sample sizes than are needed to implicate causal genes and variants. Overall, this study provides a comprehensive map of specific genomic regions that contain the vast majority of common height-associated variants. Although this map is saturated for populations of European ancestry, further research is needed to achieve equivalent saturation in other ancestries.
Published: 2022

30. Estradiol and RSPO3 regulate vertebral trabecular bone mass independent of each other

Author: Nilsson, K. H. (Karin H.), Wu, J. (Jianyao), Gustafsson, K. L. (Karin L.), Shahawy, M. E. (Maha El), Koskela, A. (Antti), Tuukkanen, J. (Juha), Tuckermann, J. (Jan), Henning, P. (Petra), Lerner, U. H. (Ulf H.), Ohlsson, C. (Claes), Movérare-Skrtic, S. (Sofia), Nilsson, K. H. (Karin H.), Wu, J. (Jianyao), Gustafsson, K. L. (Karin L.), Shahawy, M. E. (Maha El), Koskela, A. (Antti), Tuukkanen, J. (Juha), Tuckermann, J. (Jan), Henning, P. (Petra), Lerner, U. H. (Ulf H.), Ohlsson, C. (Claes), and Movérare-Skrtic, S. (Sofia)
Abstract: Osteoporosis is an age-dependent serious skeletal disease that leads to great suffering for the patient and high social costs, especially as the global population reaches higher age. Decreasing estrogen levels after menopause result in a substantial bone loss and increased fracture risk, whereas estrogen treatment improves bone mass in women. RSPO3, a secreted protein that modulates WNT signaling, increases trabecular bone mass and strength in the vertebrae of mice, and is associated with trabecular density and risk of distal forearm fractures in humans. The aim of the present study was to determine if RSPO3 is involved in the bone-sparing effect of estrogens. We first observed that estradiol (E2) treatment increases RSPO3 expression in bone of ovariectomized (OVX) mice, supporting a possible role of RSPO3 in the bone-sparing effect of estrogens. As RSPO3 is mainly expressed by osteoblasts in the bone, we used a mouse model devoid of osteoblast-derived RSPO3 (Runx2-creRspo3flox/flox mice) to determine if RSPO3 is required for the bone-sparing effect of E2 in OVX mice. We confirmed that osteoblast-specific RSPO3 inactivation results in a substantial reduction in trabecular bone mass and strength in the vertebrae. However, E2 increased vertebral trabecular bone mass and strength similarly in mice devoid of osteoblast-derived RSPO3 and control mice. Unexpectedly, osteoblast-derived RSPO3 was needed for the full estrogenic response on cortical bone thickness. In conclusion, although osteoblast-derived RSPO3 is a crucial regulator of vertebral trabecular bone, it is required for a full estrogenic effect on cortical, but not trabecular, bone in OVX mice. Thus, estradiol and RSPO3 regulate vertebral trabecular bone mass independent of each other.
Published: 2022

31. Importance of circulating IGF-1 for normal cardiac morphology, function and post infarction remodeling

Author: Täng, M. Scharin, Redfors, B., Lindbom, M., Svensson, J., Ramunddal, T., Ohlsson, C., Shao, Y., and Omerovic, E.
Published: 2012
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32. Genome-wide meta-analysis identifies six novel loci associated with habitual coffee consumption

Author: Cornelis, M C, Byrne, E M, Esko, T, Nalls, M A, Ganna, A, Paynter, N, Monda, K L, Amin, N, Fischer, K, Renstrom, F, Ngwa, J S, Huikari, V, Cavadino, A, Nolte, I M, Teumer, A, Yu, K, Marques-Vidal, P, Rawal, R, Manichaikul, A, Wojczynski, M K, Vink, J M, Zhao, J H, Burlutsky, G, Lahti, J, Mikkilä, V, Lemaitre, R N, Eriksson, J, Musani, S K, Tanaka, T, Geller, F, Luan, J, Hui, J, Mägi, R, Dimitriou, M, Garcia, M E, Ho, W-K, Wright, M J, Rose, L M, Magnusson, P K E, Pedersen, N L, Couper, D, Oostra, B A, Hofman, A, Ikram, M A, Tiemeier, H W, Uitterlinden, A G, van Rooij, F J A, Barroso, I, Johansson, I, Xue, L, Kaakinen, M, Milani, L, Power, C, Snieder, H, Stolk, R P, Baumeister, S E, Biffar, R, Gu, F, Bastardot, F, Kutalik, Z, Jacobs, Jr, D R, Forouhi, N G, Mihailov, E, Lind, L, Lindgren, C, Michaëlsson, K, Morris, A, Jensen, M, Khaw, K-T, Luben, R N, Wang, J J, Männistö, S, Perälä, M-M, Kähönen, M, Lehtimäki, T, Viikari, J, Mozaffarian, D, Mukamal, K, Psaty, B M, Döring, A, Heath, A C, Montgomery, G W, Dahmen, N, Carithers, T, Tucker, K L, Ferrucci, L, Boyd, H A, Melbye, M, Treur, J L, Mellström, D, Hottenga, J J, Prokopenko, I, Tönjes, A, Deloukas, P, Kanoni, S, Lorentzon, M, Houston, D K, Liu, Y, Danesh, J, Rasheed, A, Mason, M A, Zonderman, A B, Franke, L, Kristal, B S, Karjalainen, J, Reed, D R, Westra, H-J, Evans, M K, Saleheen, D, Harris, T B, Dedoussis, G, Curhan, G, Stumvoll, M, Beilby, J, Pasquale, L R, Feenstra, B, Bandinelli, S, Ordovas, J M, Chan, A T, Peters, U, Ohlsson, C, Gieger, C, Martin, N G, Waldenberger, M, Siscovick, D S, Raitakari, O, Eriksson, J G, Mitchell, P, Hunter, D J, Kraft, P, Rimm, E B, Boomsma, D I, Borecki, I B, Loos, R J F, Wareham, N J, Vollenweider, P, Caporaso, N, Grabe, H J, Neuhouser, M L, Wolffenbuttel, B H R, Hu, F B, Hyppönen, E, Järvelin, M-R, Cupples, L A, Franks, P W, Ridker, P M, van Duijn, C M, Heiss, G, Metspalu, A, North, K E, Ingelsson, E, Nettleton, J A, van Dam, R M, and Chasman, D I
Published: 2015
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33. POS0351 NEITHER ANTI-CITRULLINATED PROTEIN ANTIBODIES (ACPA) NOR POLYCLONAL IgG ARE ASSOCIATED WITH BONE MASS, IN ELDERLY MEN

Author: Nurkkala, M., primary, Lagerquist, M., additional, Gupta, P., additional, Mellström, D., additional, Ohlsson, C., additional, and Engdahl, C., additional
Published: 2022
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34. A PHYSIOLOGICAL DOSE OF ESTRADIOL IN A MURINE OSTEOARTHRITIS MODEL PARTIALLY RESCUES THE PHENOTYPE OF THE HEALTHY JOINT

Author: Corciulo, C., primary, Scheffler, J.M., additional, Humeniuk, P., additional, Pons, A. del Carpio, additional, Stubelius, A., additional, Von Mentzer, U., additional, Drevinge, C., additional, Barrett, A., additional, Poutanen, M., additional, Ohlsson, C., additional, Lagerquist, M.K., additional, and Islander, U., additional
Published: 2022
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35. Roles of transactivating functions 1 and 2 of estrogen receptor-α in bone

Author: Börjesson, A. E., Windahl, S. H., Lagerquist, M. K., Engdahl, C., Frenkel, B., Movérare-Skrtic, S., Sjögren, K., Kindblom, J. M., Stubelius, A., Islander, U., Antal, M. C., Krust, A., Chambon, P., Ohlsson, C., and Gustafsson, Jan-Åke
Published: 2011
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36. Gut microbiota signatures are associated with prostate cancer risk

Author: Kalinen, S., primary, Kallonen, T., additional, Gunell, M., additional, Ettala, O., additional, Jambor, I., additional, Knaapila, J., additional, Syvänen, K.T., additional, Taimen, P., additional, Poutanen, M., additional, Ohlsson, C., additional, Aronen, H.J., additional, Ollila, H., additional, Pietilä, S., additional, Elo, L.L., additional, Lamminen, T., additional, Hakanen, A.J., additional, Munukka, E., additional, and Boström, P.J., additional
Published: 2022
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37. Genome Wide Association Metanalysis Of Skull Bone Mineral Density Identifies Loci Relevant For Osteoporosis And Craniosynostosis

Author: Kun Zhu, Scott Wilson, Prokic I, Stuart H. Ralston, Karasik D, Raimo Joro, Ohlsson C, Andre G. Uitterlinden, Dennis O. Mook-Kanamori, Stykársdóttir U, Gautvik Km, Benjamin H. Mullin, Linda Broer, van Duijn Cm, Pawlak Ma, Struan F.A. Grant, Tim D. Spector, Carol A. Wang, van der Velde N, Shochat-Carvalho C, Richards Jb, Alessandra Chesi, Eric S. Orwoll, Carolina Medina-Gomez, Tarunveer S. Ahluwalia, John P. Walsh, James F. Wilson, John P. Kemp, Katharina E. Schraut, Erika Kague, David M. Evans, Fernando Rivadeneira, Daniel S. Evans, Kari Stefansson, Maria Nethander, Ruifang Li-Gao, van de Peppel J, Cheryl L. Ackert-Bicknell, Evans Te, Klaus Bønnelykke, Katerina Trajanoska, M. A. Ikram, Janine F. Felix, Gudmar Thorleifsson, van Schoor N, Babette S. Zemel, Jonathan H Tobias, Zillikens Mc, Prijatelj, Adams Hh, Maria J. Knol, Mattias Lorentzon, Hans Bisgaard, van der Eerden B, Timo A. Lakka, and Reppe S
Subjects: Bone growth, Genetics, Skull, medicine.anatomical_structure, Craniofacial abnormality, Intramembranous ossification, Osteoporosis, medicine, Genome-wide association study, Craniofacial, Biology, medicine.disease, Craniosynostosis
Abstract: Skull bone mineral density (SK-BMD) provides a suitable trait for the discovery of genes important to bone biology in general, and particularly for identifying components unique to intramembranous ossification, which cannot be captured at other skeletal sites. We assessed genetic determinants of SK-BMD in 43,800 individuals, identifying 59 genome-wide significant loci (4 novel), explaining 12.5% of its variance. Pathway and enrichment analyses of the association signals resulted in clustering within gene-sets involved in regulating the development of the skeleton; overexpressed in the musculoskeletal system; and enriched in enhancer and transcribed regions in osteoblasts. From the four novel loci (mapping to ZIC1, PRKAR1A, ATP6V1C1, GLRX3), two (ZIC1 and PRKAR1A) have previously been related to craniofacial developmental defects. Functional validation of skull development in zebrafish revealed abnormal cranial bone initiation that culminated in ectopic sutures and reduced BMD in mutated zic1 and atp6v1c1 fish and asymmetric bone growth and elevated BMD in mutated prkar1a fish. We confirmed a role of ZIC1 loss-of-function in suture patterning and discovered ATP6V1C1 gene associated with suture development. In light of the evidence presented suggesting that SK-BMD is genetically related to craniofacial abnormalities, our study opens new avenues to the understanding of the pathophysiology of craniofacial defects and towards the effective pharmacological treatment of bone diseases.
Published: 2021

38. Waning predictive value of serum adiponectin for fracture risk in elderly men: MrOS Sweden

Author: Johansson, H., Odén, A., Karlsson, M. K., McCloskey, E., Kanis, J. A., Ohlsson, C., and Mellström, D.
Published: 2014
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39. Low holotranscobalamin and cobalamins predict incident fractures in elderly men: the MrOS Sweden

Author: Lewerin, C., Nilsson-Ehle, H., Jacobsson, S., Johansson, H., Sundh, V., Karlsson, M. K., Ljunggren, Ö., Lorentzon, M., Kanis, J. A., Lerner, U. H., Cummings, S. R., Ohlsson, C., and Mellström, D.
Published: 2014
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40. Role of ERα in the Effect of Estradiol on Cancellous and Cortical Femoral Bone in Growing Female Mice

Author: Vinel, A., Hay, E., Valera, M. C., Buscato, M., Adlanmerini, M., Guillaume, M., Cohen-Solal, M., Ohlsson, C., Lenfant, F., Arnal, J. F., and Fontaine, C.
Published: 2016

41. Tissue Expression of Insulin-like Growth Factor I

Author: Isgaard, J., Nilsson, A., Ohlsson, C., Lindahl, A., Wåhlander, H., Friberg, P., Isaksson, O., Müller, Eugenio E., editor, Cocchi, Daniela, editor, and Locatelli, Vittorio, editor
Published: 1993
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42. Association of genetic variations in aromatase gene with serum estrogen and estrogen/testosterone ratio in Chinese elderly men

Author: Jiang, Jieying, Tang, Nelson L.S., Ohlsson, C., Eriksson, Anna L., Vandenput, Liesbeth, Chan, Frank W.K., Ching, Jasmine K.L., Kwok, Anthony, Orwoll, Eric, Kwok, Timothy C.Y., Woo, Jean, and Leung, Ping Chung
Published: 2010
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43. Sarcopenia definitions as predictors of fracture risk independent of FRAX®, falls, and BMD in the osteoporotic fractures in men (MrOS) study: a meta‐analysis

Author: Harvey, N.C., Orwoll, E., Kwok, T., Karlsson, M.K., Rosengren, B.E., Ribom, E., Cauley, J.A., Cawthon, P.M., Ensrud, K., Liu, E., Cruz-Jentoft, A.J., Fielding, R.A., Cooper, C., Kanis, J.A., Lorentzon, M., Ohlsson, C., Mellström, D., Johansson, H., and McCloskey, E.
Subjects: musculoskeletal system, human activities
Abstract: Dual‐energy X‐ray absorptiometry (DXA)‐derived appendicular lean mass/height2 (ALM/ht2) is the most commonly used estimate of muscle mass in the assessment of sarcopenia, but its predictive value for fracture is substantially attenuated by femoral neck (fn) bone mineral density (BMD). We investigated predictive value of 11 sarcopenia definitions for incident fracture, independent of fnBMD, fracture risk assessment tool (FRAX®) probability, and prior falls, using an extension of Poisson regression in US, Sweden, and Hong Kong Osteoporois Fractures in Men Study (MrOS) cohorts. Definitions tested were those of Baumgartner and Delmonico (ALM/ht2 only), Morley, the International Working Group on Sarcopenia, European Working Group on Sarcopenia in Older People (EWGSOP1 and 2), Asian Working Group on Sarcopenia, Foundation for the National Institutes of Health (FNIH) 1 and 2 (using ALM/body mass index [BMI], incorporating muscle strength and/or physical performance measures plus ALM/ht2), and Sarcopenia Definitions and Outcomes Consortium (gait speed and grip strength). Associations were adjusted for age and time since baseline and reported as hazard ratio (HR) for first incident fracture, here major osteoporotic fracture (MOF; clinical vertebral, hip, distal forearm, proximal humerus). Further analyses adjusted additionally for FRAX‐MOF probability (n = 7531; calculated ± fnBMD), prior falls (y/n), or fnBMD T‐score. Results were synthesized by meta‐analysis. In 5660 men in USA, 2764 Sweden and 1987 Hong Kong (mean ages 73.5, 75.4, and 72.4 years, respectively), sarcopenia prevalence ranged from 0.5% to 35%. Sarcopenia status, by all definitions except those of FNIH, was associated with incident MOF (HR = 1.39 to 2.07). Associations were robust to adjustment for prior falls or FRAX probability (without fnBMD); adjustment for fnBMD T‐score attenuated associations. EWGSOP2 severe sarcopenia (incorporating chair stand time, gait speed, and grip strength plus ALM) was most predictive, albeit at low prevalence, and appeared only modestly influenced by inclusion of fnBMD. In conclusion, the predictive value for fracture of sarcopenia definitions based on ALM is reduced by adjustment for fnBMD but strengthened by additional inclusion of physical performance measures.
Published: 2021

44. Adrenal glands promote sclerotic progression of castration resistant prostate cancer in vivo

Author: Hagberg Thulin, M., primary, Gustafsson, K., additional, Ohlsson, C., additional, and Poutanen, M., additional
Published: 2021
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45. The number and characteristics of prevalent vertebral fractures in elderly men are associated with low bone mass and osteoporosis

Author: Kherad, M., Mellström, D., Rosengren, B. E., Hasserius, R., Nilsson, J-Å., Redlund-Johnell, I., Ohlsson, C., Lorentzon, M., and Karlsson, M. K.
Published: 2015
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46. The WNT system: background and its role in bone

Author: Lerner, U. H. and Ohlsson, C.
Published: 2015
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47. Changes in Cortical Volumetric Bone Mineral Density and Thickness, and Trabecular Thickness in Lactating Women Postpartum

Author: Brembeck, P., Lorentzon, M., Ohlsson, C., Winkvist, A., and Augustin, H.
Published: 2015

48. Genome-wide association study of circulating interleukin 6 levels identifies novel loci

Author: Ahluwalia, T.S., Prins, B.P., Abdollahi, M., Armstrong, N.J., Aslibekyan, S., Bain, L., Jefferis, B., Baumert, J., Beekman, M., Ben-Shlomo, Y., Bis, J.C., Mitchell, B.D., Geus, E. de, Delgado, G.E., Marek, D., Eriksson, J., Kajantie, E., Kanoni, S., Kemp, J.P., Lu, C., Marioni, R.E., McLachlan, S., Milaneschi, Y., Nolte, I.M., Petrelis, A.M., Porcu, E., Sabater-Lleal, M., Naderi, E., Seppala, I., Shah, T., Singhal, G., Standl, M., Teumer, A., Thalamuthu, A., Thiering, E., Trompet, S., Ballantyne, C.M., Benjamin, E.J., Casas, J.P., Toben, C., Dedoussis, G., Deelen, J., Durda, P., Engmann, J., Feitosa, M.F., Grallert, H., Hammarstedt, A., Harris, S.E., Homuth, G., Hottenga, J.J., Jalkanen, S., Jamshidi, Y., Jawahar, M.C., Jess, T., Kivimaki, M., Kleber, M.E., Lahti, J., Liu, Y., Marques-Vidal, P., Mellstrom, D., Mooijaart, S.P., Muller-Nurasyid, M., Penninx, B., Revez, J.A., Rossing, P., Raikkonen, K., Sattar, N., Scharnagl, H., Sennblad, B., Silveira, A., St Pourcain, B., Timpson, N.J., Trollor, J., Dongen, J. van, Heemst, D. van, Visvikis-Siest, S., Vollenweider, P., Volker, U., Waldenberger, M., Willemsen, G., Zabaneh, D., Morris, R.W., Arnett, D.K., Baune, B.T., Boomsma, D.I., Chang, Y.P.C., Deary, I.J., Deloukas, P., Eriksson, J.G., Evans, D.M., Ferreira, M.A., Gaunt, T., Gudnason, V., Hamsten, A., Heinrich, J., Hingorani, A., Humphries, S.E., Jukema, J.W., Koenig, W., Kumari, M., Kutalik, Z., Lawlor, D.A., Lehtimaki, T., Marz, W., Mather, K.A., Naitza, S., Nauck, M., Ohlsson, C., Price, J.F., Raitakari, O., Rice, K., Sachdev, P.S., Slagboom, E., Sorensen, T.I.A., Spector, T., Stacey, D., Stathopoulou, M.G., Tanaka, T., Wannamethee, S.G., Whincup, P., Rotter, J.I., Dehghan, A., Boerwinkle, E., Psaty, B.M., Snieder, H., Alizadeh, B.Z., and CHARGE Inflammation Working Grp
Abstract: Interleukin 6 (IL-6) is a multifunctional cytokine with both pro- and anti-inflammatory properties with a heritability estimate of up to 61%. The circulating levels of IL-6 in blood have been associated with an increased risk of complex disease pathogenesis. We conducted a two-staged, discovery and replication meta genome-wide association study (GWAS) of circulating serum IL-6 levels comprising up to 67428 (n(discovery)=52654 and n(replication)=14774) individuals of European ancestry. The inverse variance fixed effects based discovery meta-analysis, followed by replication led to the identification of two independent loci, IL1F10/IL1RN rs6734238 on chromosome (Chr) 2q14, (P-combined=1.8x10(-11)), HLA-DRB1/DRB5 rs660895 on Chr6p21 (P-combined=1.5x10(-10)) in the combined meta-analyses of all samples. We also replicated the IL6R rs4537545 locus on Chr1q21 (P-combined=1.2x10(-122)). Our study identifies novel loci for circulating IL-6 levels uncovering new immunological and inflammatory pathways that may influence IL-6 pathobiology.
Published: 2021

49. Genome-Wide Association Study of Circulating Interleukin 6 Levels Identifies Novel Loci

Author: Ahluwalia, TS, Prins, BP, Abdollahi, M, Armstrong, NJ, Aslibekyan, S, Bain, L, Jefferis, B, Baumert, J, Beekman, M, Ben-Shlomo, Y, Bis, JC, Mitchell, BD, de Geus, E, Delgado, GE, Marek, D, Eriksson, J, Kajantie, E, Kanoni, S, Kemp, JP, Lu, C, Marioni, RE, McLachlan, S, Milaneschi, Y, Nolte, IM, Petrelis, AM, Porcu, E, Sabater-Lleal, M, Naderi, E, Seppälä, I, Shah, T, Singhal, G, Standl, M, Teumer, A, Thalamuthu, A, Thiering, E, Trompet, S, Ballantyne, CM, Benjamin, EJ, Casas, JP, Toben, C, Dedoussis, G, Deelen, J, Durda, P, Engmann, J, Feitosa, MF, Grallert, H, Hammarstedt, A, Harris, SE, Homuth, G, Hottenga, J-J, Jalkanen, S, Jamshidi, Y, Jawahar, MC, Jess, T, Kivimaki, M, Kleber, ME, Lahti, J, Liu, Y, Marques-Vidal, P, Mellström, D, Mooijaart, SP, Müller-Nurasyid, M, Penninx, B, Revez, JA, Rossing, P, Räikkönen, K, Sattar, N, Scharnagl, H, Sennblad, B, Silveira, A, Pourcain, BS, Timpson, NJ, Trollor, J, CHARGE Inflammation Working Group, van Dongen, J, Van Heemst, D, Visvikis-Siest, S, Vollenweider, P, Völker, U, Waldenberger, M, Willemsen, G, Zabaneh, D, Morris, RW, Arnett, DK, Baune, BT, Boomsma, DI, Chang, Y-PC, Deary, IJ, Deloukas, P, Eriksson, JG, Evans, DM, Ferreira, MA, Gaunt, T, Gudnason, V, Hamsten, A, Heinrich, J, Hingorani, A, Humphries, SE, Jukema, JW, Koeing, W, Kumari, M, Kutalik, Z, Lawlor, DA, Lehtimäki, T, März, W, Mather, K, Naitza, S, Nauck, M, Ohlsson, C, Price, JF, Raitakari, O, Rice, K, Sachdev, PS, Slagboom, E, Sørensen, TIA, Spector, T, Stacey, D, Stathopoulou, MG, Tanaka, T, Wannamethee, SG, Whincup, P, Rotter, JI, Dehghan, A, Boerwinkle, E, Psaty, BM, Snieder, H, and Alizadeh, BZ
Abstract: Interleukin-6 (IL-6) is a multifunctional cytokine with both pro- and anti-inflammatory properties with a heritability estimate of up to 61%. The circulating levels of IL-6 in blood have been associated with an increased risk of complex disease pathogenesis. We conducted a two-staged, discovery, and replication meta genome-wide association study (GWAS) of circulating serum IL-6 levels comprising up to 67 428 (ndiscovery = 52 654 and nreplication = 14 774) individuals of European ancestry. The inverse variance fixed-effects based discovery meta-analysis, followed by replication led to the identification of two independent loci, IL1F10/IL1RN rs6734238 on Chromosome (Chr) 2q14, (pcombined = 1.8 × 10-11), HLA-DRB1/DRB5 rs660895 on Chr6p21 (pcombined = 1.5 × 10-10) in the combined meta-analyses of all samples. We also replicated the IL6R rs4537545 locus on Chr1q21 (pcombined = 1.2 × 10-122). Our study identifies novel loci for circulating IL-6 levels uncovering new immunological and inflammatory pathways that may influence IL-6 pathobiology.
Published: 2021

50. Growth Hormone Induces Multiplication of the Slowly Cycling Germinal Cells of the Rat Tibial Growth Plate

Author: Ohlsson, C., Nilsson, A., Isaksson, O., and Lindahl, A.
Published: 1992

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