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van Buuren MMA, Riedstra NS, van den Berg MA, Boel FDEM, Ahedi H, Arbabi V, Arden NK, Bierma-Zeinstra SMA, Boer CG, Cicuttini F, Cootes TF, Crossley K, Felson D, Gielis WP, Heerey J, Jones G, Kluzek S, Lane NE, Lindner C, Lynch JA, Van Meurs J, Mosler AB, Nelson AE, Nevitt M, Oei E, Runhaar J, Tang J, Weinans H, Agricola R. Cohort profile: Worldwide Collaboration on OsteoArthritis prediCtion for the Hip (World COACH) - an international consortium of prospective cohort studies with individual participant data on hip osteoarthritis. BMJ Open 2024; 14:e077907. [PMID: 38637130 PMCID: PMC11029301 DOI: 10.1136/bmjopen-2023-077907] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Accepted: 02/20/2024] [Indexed: 04/20/2024] Open
Abstract
PURPOSE Hip osteoarthritis (OA) is a major cause of pain and disability worldwide. Lack of effective therapies may reflect poor knowledge on its aetiology and risk factors, and result in the management of end-stage hip OA with costly joint replacement. The Worldwide Collaboration on OsteoArthritis prediCtion for the Hip (World COACH) consortium was established to pool and harmonise individual participant data from prospective cohort studies. The consortium aims to better understand determinants and risk factors for the development and progression of hip OA, to optimise and automate methods for (imaging) analysis, and to develop a personalised prediction model for hip OA. PARTICIPANTS World COACH aimed to include participants of prospective cohort studies with ≥200 participants, that have hip imaging data available from at least 2 time points at least 4 years apart. All individual participant data, including clinical data, imaging (data), biochemical markers, questionnaires and genetic data, were collected and pooled into a single, individual-level database. FINDINGS TO DATE World COACH currently consists of 9 cohorts, with 38 021 participants aged 18-80 years at baseline. Overall, 71% of the participants were women and mean baseline age was 65.3±8.6 years. Over 34 000 participants had baseline pelvic radiographs available, and over 22 000 had an additional pelvic radiograph after 8-12 years of follow-up. Even longer radiographic follow-up (15-25 years) is available for over 6000 of these participants. FUTURE PLANS The World COACH consortium offers unique opportunities for studies on the relationship between determinants/risk factors and the development or progression of hip OA, by using harmonised data on clinical findings, imaging, biomarkers, genetics and lifestyle. This provides a unique opportunity to develop a personalised hip OA risk prediction model and to optimise methods for imaging analysis of the hip.
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Affiliation(s)
- Michiel M A van Buuren
- Department of Orthopaedics and Sports Medicine, Erasmus Medical Center, Rotterdam, Zuid-Holland, Netherlands
| | - Noortje S Riedstra
- Department of Orthopaedics and Sports Medicine, Erasmus Medical Center, Rotterdam, Zuid-Holland, Netherlands
| | - Myrthe A van den Berg
- Department of Orthopaedics and Sports Medicine, Erasmus Medical Center, Rotterdam, Zuid-Holland, Netherlands
| | - Fleur D E M Boel
- Department of Orthopaedics and Sports Medicine, Erasmus Medical Center, Rotterdam, Zuid-Holland, Netherlands
| | - Harbeer Ahedi
- Institute for Medical Research, University of Tasmania Menzies, Hobart, Tasmania, Australia
| | - Vahid Arbabi
- Department of Orthopedics, UMC Utrecht, Utrecht, Netherlands
- Orthopaedic-Biomechanics Research Group, Department of Mechanical Engineering, Faculty of Engineering, University of Birjand, Birjand, Iran
| | - Nigel K Arden
- Department of Orthopaedics Rheumatology and Musculoskeletal Sciences, University of Oxford Nuffield, Oxford, Oxfordshire, UK
| | | | - Cindy G Boer
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, Zuid-Holland, Netherlands
| | - Flavia Cicuttini
- Department of Epidemiology and Preventative Medicine, Monash University, Melbourne, Victoria, Australia
| | - Timothy F Cootes
- Centre for Imaging Sciences, The University of Manchester, Manchester, UK
| | - Kay Crossley
- La Trobe Sport and Exercise Medicine Research Centre, La Trobe University School of Allied Health Human Services and Sport, Melbourne, Victoria, Australia
| | - David Felson
- Boston University School of Medicine, Boston, Massachusetts, USA
| | - Willem Paul Gielis
- Department of Orthopedics, UMC Utrecht, Utrecht, Netherlands
- Department of Radiology, UMC Utrecht, Utrecht, Netherlands
| | - Joshua Heerey
- La Trobe Sport and Exercise Medicine Research Centre, La Trobe University School of Allied Health Human Services and Sport, Melbourne, Victoria, Australia
| | - Graeme Jones
- Institute for Medical Research, University of Tasmania Menzies, Hobart, Tasmania, Australia
| | - Stefan Kluzek
- Department of Orthopaedics Rheumatology and Musculoskeletal Sciences, University of Oxford Nuffield, Oxford, Oxfordshire, UK
| | - Nancy E Lane
- Department of Medicine, University of California Davis School of Medicine, Sacramento, California, USA
| | - Claudia Lindner
- Centre for Imaging Sciences, The University of Manchester, Manchester, UK
| | - John A Lynch
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, USA
| | - J Van Meurs
- Department of Orthopaedics and Sports Medicine, Erasmus Medical Center, Rotterdam, Zuid-Holland, Netherlands
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, Zuid-Holland, Netherlands
| | - Andrea B Mosler
- La Trobe Sport and Exercise Medicine Research Centre, La Trobe University School of Allied Health Human Services and Sport, Melbourne, Victoria, Australia
| | - Amanda E Nelson
- Thurston Arthritis Research Center, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - M Nevitt
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, USA
| | - Edwin Oei
- Department of Radiology & Nuclear Medicine, Erasmus Medical Center, Rotterdam, Zuid-Holland, Netherlands
| | - Jos Runhaar
- Department of General Practice, Erasmus Medical Center, Rotterdam, Zuid-Holland, Netherlands
| | - Jinchi Tang
- Department of Orthopaedics and Sports Medicine, Erasmus Medical Center, Rotterdam, Zuid-Holland, Netherlands
| | - Harrie Weinans
- Department of Orthopedics, UMC Utrecht, Utrecht, Netherlands
- Department of Biomechanical Engineering, TU Delft, Delft, Zuid-Holland, Netherlands
| | - Rintje Agricola
- Department of Orthopaedics and Sports Medicine, Erasmus Medical Center, Rotterdam, Zuid-Holland, Netherlands
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Wu Y, Boer CG, Hofman A, Schiphof D, van Middelkoop M, Szilagyi IA, Sedaghati-Khayat B, Bierma-Zeinstra SMA, Voortman T, van Meurs JBJ. Weight-Bearing Physical Activity, Lower-Limb Muscle Mass, and Risk of Knee Osteoarthritis. JAMA Netw Open 2024; 7:e248968. [PMID: 38687476 PMCID: PMC11061770 DOI: 10.1001/jamanetworkopen.2024.8968] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Accepted: 02/22/2024] [Indexed: 05/02/2024] Open
Abstract
Importance It has been demonstrated that total physical activity is not associated with risk of osteoarthritis. However, the association of different types of physical activity with incident knee osteoarthritis remains unclear. Objective To determine whether weight-bearing recreational physical activities are associated with increased risk of incident knee osteoarthritis. Design, Setting, and Participants This prospective cohort study used data from the Rotterdam Study (1996 to 2009), including participants with knee x-ray measurements at baseline and follow-up examinations. Participants with knee osteoarthritis at baseline were excluded. Residents aged 45 years and older of the Ommoord district in the city of Rotterdam in The Netherlands were invited to join the Rotterdam Study (78% response rate). Analysis was conducted in June 2023. Exposure Total, weight-bearing, and non-weight-bearing recreational physical activities collected by questionnaires at baseline. Main Outcomes and Measures Incident radiographic knee osteoarthritis measured by knee x-ray was the primary outcome, and incident symptomatic knee osteoarthritis defined by x-ray and knee pain questionnaire was the secondary outcome. The association of different types of recreational physical activity with radiographic knee osteoarthritis was examined using logistic regression within generalized estimating equation framework after adjusting for potential confounders. A prespecified stratification analysis was planned on the basis of lower-limb muscle mass index (LMI) tertiles, measured by dual-energy x-ray absorptiometry. Results A total of 5003 individuals (2804 women [56.0%]; mean [SD] age, 64.5 [7.9] years) were included. The knee osteoarthritis incident rate was 8.4% (793 of 9483 knees) for a mean (SD) follow-up time of 6.33 (2.46) years. Higher weight-bearing activity was associated with increased odds of incident knee osteoarthritis (odds ratio [OR], 1.22; 95% CI, 1.10-1.35; P < .001), but non-weight-bearing activity was not (OR, 1.04; 95% CI, 0.95-1.15; P = .37). In the analysis stratified by LMI tertiles, the association of weight-bearing activity with incident osteoarthritis was found only among 431 patients in the lowest LMI tertile (OR, 1.53; 95% CI, 1.15-2.04; P = .003), but not among patients in the middle or high LMI tertile. Conclusions and Relevance The findings of this study suggest that weight-bearing activity is associated with incident knee osteoarthritis in people with low levels of lower-limb muscle mass, which might be a promising avenue for tailored advice for physical activity.
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Affiliation(s)
- Yahong Wu
- Department of Epidemiology, Erasmus Medical Center, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Internal Medicine, Erasmus Medical Center, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Cindy G. Boer
- Department of Internal Medicine, Erasmus Medical Center, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Amy Hofman
- Department of Epidemiology, Erasmus Medical Center, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Dieuwke Schiphof
- Department of General Practice, Erasmus Medical Center, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Marienke van Middelkoop
- Department of General Practice, Erasmus Medical Center, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Ingrid A. Szilagyi
- Department of Internal Medicine, Erasmus Medical Center, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of General Practice, Erasmus Medical Center, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Bahar Sedaghati-Khayat
- Department of Internal Medicine, Erasmus Medical Center, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Sita M. A. Bierma-Zeinstra
- Department of General Practice, Erasmus Medical Center, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Orthopedics & Sports Medicine, Erasmus Medical Center, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Trudy Voortman
- Department of Epidemiology, Erasmus Medical Center, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Joyce B. J. van Meurs
- Department of Internal Medicine, Erasmus Medical Center, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Orthopedics & Sports Medicine, Erasmus Medical Center, University Medical Center Rotterdam, Rotterdam, the Netherlands
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Ghatan S, van Rooij J, van Hoek M, Boer CG, Felix JF, Kavousi M, Jaddoe VW, Sijbrands EJG, Medina-Gomez C, Rivadeneira F, Oei L. Defining type 2 diabetes polygenic risk scores through colocalization and network-based clustering of metabolic trait genetic associations. Genome Med 2024; 16:10. [PMID: 38200577 PMCID: PMC10777532 DOI: 10.1186/s13073-023-01255-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Accepted: 11/08/2023] [Indexed: 01/12/2024] Open
Abstract
BACKGROUND Type 2 diabetes (T2D) is a heterogeneous and polygenic disease. Previous studies have leveraged the highly polygenic and pleiotropic nature of T2D variants to partition the heterogeneity of T2D, in order to stratify patient risk and gain mechanistic insight. We expanded on these approaches by performing colocalization across GWAS traits while assessing the causality and directionality of genetic associations. METHODS We applied colocalization between T2D and 20 related metabolic traits, across 243 loci, to obtain inferences of shared casual variants. Network-based unsupervised hierarchical clustering was performed on variant-trait associations. Partitioned polygenic risk scores (PRSs) were generated for each cluster using T2D summary statistics and validated in 21,742 individuals with T2D from 3 cohorts. Inferences of directionality and causality were obtained by applying Mendelian randomization Steiger's Z-test and further validated in a pediatric cohort without diabetes (aged 9-12 years old, n = 3866). RESULTS We identified 146 T2D loci that colocalized with at least one metabolic trait locus. T2D variants within these loci were grouped into 5 clusters. The clusters corresponded to the following pathways: obesity, lipodystrophic insulin resistance, liver and lipid metabolism, hepatic glucose metabolism, and beta-cell dysfunction. We observed heterogeneity in associations between PRSs and metabolic measures across clusters. For instance, the lipodystrophic insulin resistance (Beta - 0.08 SD, 95% CI [- 0.10-0.07], p = 6.50 × 10-32) and beta-cell dysfunction (Beta - 0.10 SD, 95% CI [- 0.12, - 0.08], p = 1.46 × 10-47) PRSs were associated to lower BMI. Mendelian randomization Steiger analysis indicated that increased T2D risk in these pathways was causally associated to lower BMI. However, the obesity PRS was conversely associated with increased BMI (Beta 0.08 SD, 95% CI 0.06-0.10, p = 8.0 × 10-33). Analyses within a pediatric cohort supported this finding. Additionally, the lipodystrophic insulin resistance PRS was associated with a higher odds of chronic kidney disease (OR 1.29, 95% CI 1.02-1.62, p = 0.03). CONCLUSIONS We successfully partitioned T2D genetic variants into phenotypic pathways using a colocalization first approach. Partitioned PRSs were associated to unique metabolic and clinical outcomes indicating successful partitioning of disease heterogeneity. Our work expands on previous approaches by providing stronger inferences of shared causal variants, causality, and directionality of GWAS variant-trait associations.
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Affiliation(s)
- Samuel Ghatan
- Department of Internal Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Jeroen van Rooij
- Department of Internal Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Mandy van Hoek
- Department of Internal Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Cindy G Boer
- Department of Internal Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Janine F Felix
- The Generation R Study Group, Erasmus MC, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus MC, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Maryam Kavousi
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Vincent W Jaddoe
- The Generation R Study Group, Erasmus MC, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus MC, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Eric J G Sijbrands
- Department of Internal Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Carolina Medina-Gomez
- Department of Internal Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Fernando Rivadeneira
- Department of Internal Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.
| | - Ling Oei
- Department of Internal Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
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4
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Faber BG, Frysz M, Boer CG, Evans DS, Ebsim R, Flynn KA, Lundberg M, Southam L, Hartley A, Saunders FR, Lindner C, Gregory JS, Aspden RM, Lane NE, Harvey NC, Evans DM, Zeggini E, Davey Smith G, Cootes T, Van Meurs J, Kemp JP, Tobias JH. The identification of distinct protective and susceptibility mechanisms for hip osteoarthritis: findings from a genome-wide association study meta-analysis of minimum joint space width and Mendelian randomisation cluster analyses. EBioMedicine 2023; 95:104759. [PMID: 37619450 PMCID: PMC10470292 DOI: 10.1016/j.ebiom.2023.104759] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Revised: 08/02/2023] [Accepted: 08/02/2023] [Indexed: 08/26/2023] Open
Abstract
BACKGROUND Hip minimum joint space width (mJSW) provides a proxy for cartilage thickness. This study aimed to conduct a genome-wide association study (GWAS) of mJSW to (i) identify new genetic determinants of mJSW and (ii) identify which mJSW loci convey hip osteoarthritis (HOA) risk and would therefore be of therapeutic interest. METHODS GWAS meta-analysis of hip mJSW derived from plain X-rays and DXA was performed, stratified by sex and adjusted for age and ancestry principal components. Mendelian randomisation (MR) and cluster analyses were used to examine causal effect of mJSW on HOA. FINDINGS 50,745 individuals were included in the meta-analysis. 42 SNPs, which mapped to 39 loci, were identified. Mendelian randomisation (MR) revealed little evidence of a causal effect of mJSW on HOA (ORIVW 0.98 [95% CI 0.82-1.18]). However, MR-Clust analysis suggested the null MR estimates reflected the net effect of two distinct causal mechanisms cancelling each other out, one of which was protective, whereas the other increased HOA susceptibility. For the latter mechanism, all loci were positively associated with height, suggesting mechanisms leading to greater height and mJSW increase the risk of HOA in later life. INTERPRETATIONS One group of mJSW loci reduce HOA risk via increased mJSW, suggesting possible utility as targets for chondroprotective therapies. The second group of mJSW loci increased HOA risk, despite increasing mJSW, but were also positively related to height, suggesting they contribute to HOA risk via a growth-related mechanism. FUNDING Primarily funded by the Medical Research Council and Wellcome Trust.
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Affiliation(s)
- Benjamin G Faber
- Musculoskeletal Research Unit, University of Bristol, UK; Medical Research Council Integrative Epidemiology Unit at the University of Bristol, UK.
| | - Monika Frysz
- Musculoskeletal Research Unit, University of Bristol, UK; Medical Research Council Integrative Epidemiology Unit at the University of Bristol, UK
| | - Cindy G Boer
- Department of Internal Medicine, Erasmus Medical Centre, Rotterdam, the Netherlands
| | - Daniel S Evans
- California Pacific Medical Center Research Institute, San Francisco, USA
| | - Raja Ebsim
- Division of Informatics, Imaging and Data Sciences, The University of Manchester, UK
| | - Kaitlyn A Flynn
- Mater Research Institute, The University of Queensland, Woolloongabba, Australia; Institute for Molecular Bioscience, The University of Queensland, St Lucia, Australia
| | - Mischa Lundberg
- UQ Frazer Institute, The University of Queensland, Woolloongabba, Australia
| | - Lorraine Southam
- Institute of Translational Genomics, Helmholtz Zentrum München - German Research Centre for Environmental Health, Neuherberg, Germany
| | - April Hartley
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, UK
| | - Fiona R Saunders
- Centre for Arthritis and Musculoskeletal Health, University of Aberdeen, UK
| | - Claudia Lindner
- Division of Informatics, Imaging and Data Sciences, The University of Manchester, UK
| | - Jennifer S Gregory
- Centre for Arthritis and Musculoskeletal Health, University of Aberdeen, UK
| | - Richard M Aspden
- Centre for Arthritis and Musculoskeletal Health, University of Aberdeen, UK
| | - Nancy E Lane
- Center for Musculoskeletal Health, University of California Davis, Sacramento, USA
| | - Nicholas C Harvey
- Medical Research Council Lifecourse Epidemiology Centre, University of Southampton, UK; NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, UK
| | - David M Evans
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, UK; Institute for Molecular Bioscience, The University of Queensland, St Lucia, Australia; UQ Frazer Institute, The University of Queensland, Woolloongabba, Australia
| | - Eleftheria Zeggini
- Institute of Translational Genomics, Helmholtz Zentrum München - German Research Centre for Environmental Health, Neuherberg, Germany; Technical University of Munich and Klinikum Rechts der Isar, TUM School of Medicine, Germany
| | - George Davey Smith
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, UK
| | - Timothy Cootes
- Division of Informatics, Imaging and Data Sciences, The University of Manchester, UK
| | - Joyce Van Meurs
- Department of Internal Medicine, Erasmus Medical Centre, Rotterdam, the Netherlands
| | - John P Kemp
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, UK; Mater Research Institute, The University of Queensland, Woolloongabba, Australia; Institute for Molecular Bioscience, The University of Queensland, St Lucia, Australia
| | - Jonathan H Tobias
- Musculoskeletal Research Unit, University of Bristol, UK; Medical Research Council Integrative Epidemiology Unit at the University of Bristol, UK
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Klück V, Boahen CK, Kischkel B, Dos Santos JC, Matzaraki V, Boer CG, van Meurs JBJ, Schraa K, Lemmers H, Dijkstra H, Leask MP, Merriman TR, Crişan TO, McCarthy GM, Kumar V, Joosten LAB. A functional genomics approach reveals suggestive quantitative trait loci associated with combined TLR4 and BCP crystal-induced inflammation and osteoarthritis. Osteoarthritis Cartilage 2023; 31:1022-1034. [PMID: 37105395 DOI: 10.1016/j.joca.2023.04.011] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Revised: 03/26/2023] [Accepted: 04/14/2023] [Indexed: 04/29/2023]
Abstract
OBJECTIVE Basic calcium phosphate (BCP) crystals can activate the NLRP3 inflammasome and are potentially involved in the pathogenesis of osteoarthritis (OA). In order to elucidate relevant inflammatory mechanisms in OA, we used a functional genomics approach to assess genetic variation influencing BCP crystal-induced cytokine production. METHOD Peripheral blood mononuclear cells (PBMCs) were isolated from healthy volunteers who were previously genotyped and stimulated with BCP crystals and/or lipopolysaccharide (LPS) after which cytokines release was assessed. Cytokine quantitative trait locus (cQTL) mapping was performed. For in vitro validation of the cQTL located in anoctamin 3 (ANO3), PBMCs were incubated with Tamoxifen and Benzbromarone prior to stimulation. Additionally, we performed co-localisation analysis of our top cQTLs with the most recent OA meta-analysis of genome-wide association studies (GWAS). RESULTS We observed that BCP crystals and LPS synergistically induce IL-1β in human PBMCs. cQTL analysis revealed several suggestive loci influencing cytokine release upon stimulation, among which are quantitative trait locus annotated to ANO3 and GLIS3. As functional validation, anoctamin inhibitors reduced IL-1β release in PBMCs after stimulation. Co-localisation analysis showed that the GLIS3 locus was shared between LPS/BCP crystal-induced IL-1β and genetic association with Knee OA. CONCLUSIONS We identified and functionally validated a new locus, ANO3, associated with LPS/BCP crystal-induced inflammation in PBMCs. Moreover, the cQTL in the GLIS3 locus co-localises with the previously found locus associated with Knee OA, suggesting that this Knee OA locus might be explained through an inflammatory mechanism. These results form a basis for further exploration of inflammatory mechanisms in OA.
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Affiliation(s)
- Viola Klück
- Department of Internal Medicine, Radboud University Medical Center, Nijmegen, the Netherlands; Radboud Institute of Molecular Life Sciences (RIMLS), Radboud University Medical Center, Nijmegen, the Netherlands
| | - Collins K Boahen
- Department of Internal Medicine, Radboud University Medical Center, Nijmegen, the Netherlands; Radboud Institute of Molecular Life Sciences (RIMLS), Radboud University Medical Center, Nijmegen, the Netherlands
| | - Brenda Kischkel
- Department of Internal Medicine, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Jéssica C Dos Santos
- Department of Internal Medicine, Radboud University Medical Center, Nijmegen, the Netherlands; Radboud Institute of Molecular Life Sciences (RIMLS), Radboud University Medical Center, Nijmegen, the Netherlands
| | - Vasiliki Matzaraki
- Department of Internal Medicine, Radboud University Medical Center, Nijmegen, the Netherlands; Radboud Institute of Molecular Life Sciences (RIMLS), Radboud University Medical Center, Nijmegen, the Netherlands
| | - Cindy G Boer
- Department of Internal Medicine and Orthopaedics & Sports Medicine, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Joyce B J van Meurs
- Department of Internal Medicine and Orthopaedics & Sports Medicine, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Kiki Schraa
- Department of Internal Medicine, Radboud University Medical Center, Nijmegen, the Netherlands; Radboud Institute of Molecular Life Sciences (RIMLS), Radboud University Medical Center, Nijmegen, the Netherlands
| | - Heidi Lemmers
- Department of Internal Medicine, Radboud University Medical Center, Nijmegen, the Netherlands; Radboud Institute of Molecular Life Sciences (RIMLS), Radboud University Medical Center, Nijmegen, the Netherlands
| | - Helga Dijkstra
- Department of Internal Medicine, Radboud University Medical Center, Nijmegen, the Netherlands; Radboud Institute of Molecular Life Sciences (RIMLS), Radboud University Medical Center, Nijmegen, the Netherlands
| | - Megan P Leask
- Division of Rheumatology and Clinical Immunology, University of Alabama, Birmingham, AL, United States
| | - Tony R Merriman
- Division of Rheumatology and Clinical Immunology, University of Alabama, Birmingham, AL, United States
| | - Tania O Crişan
- Department of Internal Medicine, Radboud University Medical Center, Nijmegen, the Netherlands; Department of Medical Genetics, Iuliu Hațieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania
| | - Geraldine M McCarthy
- Department of Rheumatology, Mater Misericordiae University Hospital, Dublin, Ireland; School of Medicine and Medical Science, University College Dublin, Dublin, Ireland
| | - Vinod Kumar
- Department of Internal Medicine, Radboud University Medical Center, Nijmegen, the Netherlands; Radboud Institute of Molecular Life Sciences (RIMLS), Radboud University Medical Center, Nijmegen, the Netherlands; Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands; Centre for Science Education and Research (NUCSER), NITTE University, Mangalore, Karnataka, India
| | - Leo A B Joosten
- Department of Internal Medicine, Radboud University Medical Center, Nijmegen, the Netherlands; Radboud Institute of Molecular Life Sciences (RIMLS), Radboud University Medical Center, Nijmegen, the Netherlands; Department of Medical Genetics, Iuliu Hațieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.
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Faber BG, Frysz M, Hartley AE, Ebsim R, Boer CG, Saunders FR, Gregory JS, Aspden RM, Harvey NC, Southam L, Giles W, Le Maitre CL, Wilkinson JM, van Meurs JBJ, Zeggini E, Cootes T, Lindner C, Kemp JP, Davey Smith G, Tobias JH. A Genome-Wide Association Study Meta-Analysis of Alpha Angle Suggests Cam-Type Morphology May Be a Specific Feature of Hip Osteoarthritis in Older Adults. Arthritis Rheumatol 2023; 75:900-909. [PMID: 36662418 PMCID: PMC10374163 DOI: 10.1002/art.42451] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Revised: 11/08/2022] [Accepted: 01/17/2023] [Indexed: 01/21/2023]
Abstract
OBJECTIVE To examine the genetic architecture of cam morphology using alpha angle (AA) as a proxy measure and conduct an AA genome-wide association study (GWAS) followed by Mendelian randomization (MR) to evaluate its causal relationship with hip osteoarthritis (OA). METHODS Observational analyses examined associations between AA measurements derived from hip dual x-ray absorptiometry (DXA) scans from the UK Biobank study and radiographic hip OA outcomes and subsequent total hip replacement. Following these analyses, an AA GWAS meta-analysis was performed (N = 44,214) using AA measurements previously derived in the Rotterdam Study. Linkage disequilibrium score regression assessed the genetic correlation between AA and hip OA. Genetic associations considered significant (P < 5 × 10-8 ) were used as AA genetic instrument for 2-sample MR analysis. RESULTS DXA-derived AA showed expected associations between AA and radiographic hip OA (adjusted odds ratio [OR] 1.63 [95% confidence interval (95% CI) 1.58, 1.67]) and between AA and total hip replacement (adjusted hazard ratio 1.45 [95% CI 1.33, 1.59]) in the UK Biobank study cohort. The heritability of AA was 10%, and AA had a moderate genetic correlation with hip OA (rg = 0.26 [95% CI 0.10, 0.43]). Eight independent genetic signals were associated with AA. Two-sample MR provided weak evidence of causal effects of AA on hip OA risk (inverse variance weighted OR 1.84 [95% CI 1.14, 2.96], P = 0.01). In contrast, genetic predisposition for hip OA had stronger evidence of a causal effect on increased AA (inverse variance weighted β = 0.09 [95% CI 0.04, 0.13], P = 4.58 × 10-5 ). CONCLUSION Expected observational associations between AA and related clinical outcomes provided face validity for the DXA-derived AA measurements. Evidence of bidirectional associations between AA and hip OA, particularly for risk of hip OA on AA, suggests that hip shape modeling secondary to a genetic predisposition to hip OA contributes to the well-established relationship between hip OA and cam morphology in older adults.
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Affiliation(s)
- Benjamin G. Faber
- Musculoskeletal Research Unit, Translational Health Sciences, and Medical Research Council Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical SchoolUniversity of BristolUK
| | - Monika Frysz
- Musculoskeletal Research Unit, Translational Health Sciences, and Medical Research Council Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical SchoolUniversity of BristolUK
| | - April E. Hartley
- Medical Research Council Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical SchoolUniversity of BristolUK
| | - Raja Ebsim
- Division of Informatics, Imaging and Data ScienceThe University of ManchesterUK
| | - Cindy G. Boer
- Department of Internal Medicine, Erasmus MCUniversity Medical CenterRotterdamThe Netherlands
| | - Fiona R. Saunders
- Centre for Arthritis and Musculoskeletal HealthUniversity of AberdeenUK
| | | | - Richard M. Aspden
- Centre for Arthritis and Musculoskeletal HealthUniversity of AberdeenUK
| | - Nicholas C. Harvey
- Medical Research Council Lifecourse Epidemiology Centre, University of Southampton, UK, and NIHR Southampton Biomedical Research CentreUniversity of Southampton and University Hospital Southampton NHS Foundation TrustUK
| | - Lorraine Southam
- Institute of Translational Genomics, Helmholtz Zentrum München–German Research Center for Environmental HealthNeuherbergGermany
| | - William Giles
- Department of Oncology and MetabolismThe University of SheffieldUK
| | | | | | - Joyce B. J. van Meurs
- Department of Internal Medicine and Department of Orthopaedics & Sports Medicine, Erasmus MCRotterdamThe Netherlands
| | - Eleftheria Zeggini
- Institute of Translational Genomics, Helmholtz Zentrum München–German Research Center for Environmental Health, Neuherberg, Germany, and TUM School of MedicineTechnical University of Munich and Klinikum Rechts der IsarGermany
| | - Timothy Cootes
- Division of Informatics, Imaging and Data ScienceThe University of ManchesterUK
| | - Claudia Lindner
- Division of Informatics, Imaging and Data ScienceThe University of ManchesterUK
| | - John P. Kemp
- Medical Research Council Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, UK, and The University of Queensland Diamantina Institute and Institute for Molecular Bioscience, The University of QueenslandQueenslandAustralia
| | - George Davey Smith
- Medical Research Council Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical SchoolUniversity of BristolUK
| | - Jonathan H. Tobias
- Musculoskeletal Research Unit, Translational Health Sciences, and Medical Research Council Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical SchoolUniversity of BristolUK
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7
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Waqas K, Szilagyi IA, Schiphof D, Boer CG, Bierma-Zeinstra S, van Meurs JBJ, Zillikens MC. Skin autofluorescence, a non-invasive biomarker of advanced glycation end products, and its relation to radiographic and MRI based osteoarthritis. Osteoarthritis Cartilage 2022; 30:1631-1639. [PMID: 36087928 DOI: 10.1016/j.joca.2022.08.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Revised: 08/11/2022] [Accepted: 08/24/2022] [Indexed: 02/02/2023]
Abstract
OBJECTIVES Accumulation of advanced glycation end products (AGEs) in articular cartilage during aging has been proposed as a mechanism involved in the development of osteoarthritis (OA). Therefore, we investigated a cross-sectional relationship between skin AGEs, a biomarker for systemic AGEs accumulation, and OA. METHODS Skin AGEs were estimated with the AGE Reader™ as skin autofluorescence (SAF). Knee and hip X-rays were scored according to Kellgren and Lawrence (KL) system. KL-sum score of all four joints was calculated per participant to assess severity of overall radiographic OA (ROA) including or excluding those with prosthesis. Knee MRI of tibiofemoral joint (TFMRI) was assessed for cartilage loss. Sex-stratified regression models were performed after testing interaction with SAF. RESULTS 2,153 participants were included for this cross-sectional analysis. In women (n = 1,206) for one unit increase in SAF, the KL-sum score increased by 1.15 (95% confidence interval = 1.00-1.33) but excluding women with prosthesis, there was no KL-sum score increase [0.96 (0.83-1.11)]. SAF was associated with higher prevalence of prosthesis [Odds ratio, OR = 1.67 (1.10-2.54)] but not with ROA [OR = 0.83 (0.61-1.14)] when compared to women with no ROA. In men (n = 947), there was inconclusive association between SAF and KL sum score or prosthesis. For TFMRI (n = 103 women), SAF was associated with higher prevalence of cartilage loss, full-thickness [OR = 5.44 (1.27-23.38)] and partial-thickness [OR = 1.45 (0.38-5.54)], when compared to participants with no cartilage loss. CONCLUSION Higher SAF in women was associated with higher prosthesis prevalence and a trend towards higher cartilage loss on MRI. Our data presents inconclusive results between SAF and ROA in both sexes.
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Affiliation(s)
- K Waqas
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands.
| | - I A Szilagyi
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands; Department of General Practice, Erasmus University Medical Center, Rotterdam, the Netherlands.
| | - D Schiphof
- Department of General Practice, Erasmus University Medical Center, Rotterdam, the Netherlands.
| | - C G Boer
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands; Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands.
| | - S Bierma-Zeinstra
- Department of General Practice, Erasmus University Medical Center, Rotterdam, the Netherlands; Department of Orthopaedics & Sports Medicine, Erasmus MC, University Medical Center, Rotterdam, the Netherlands.
| | - J B J van Meurs
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands; Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands; Department of Orthopaedics & Sports Medicine, Erasmus MC, University Medical Center, Rotterdam, the Netherlands.
| | - M C Zillikens
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands.
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8
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Szilagyi IA, Vallerga CL, Boer CG, Schiphof D, Ikram MA, Bierma-Zeinstra SMA, van Meurs JBJ. Plasma proteomics identifies CRTAC1 as a biomarker for osteoarthritis severity and progression. Rheumatology (Oxford) 2022; 62:1286-1295. [PMID: 35924962 PMCID: PMC9977119 DOI: 10.1093/rheumatology/keac415] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Revised: 07/07/2022] [Accepted: 07/07/2022] [Indexed: 11/14/2022] Open
Abstract
OBJECTIVES The aim of this study was to identify biomarkers for radiographic OA severity and progression acting within the inflammation and metabolic pathways. METHODS For 3517 Rotterdam Study participants, 184 plasma protein levels were measured using Olink inflammation and cardiometabolic panels. We studied associations with severity and progression of knee, hip and hand OA and a composite overall OA burden score by multivariable regression models, adjusting for age, sex, cell counts and BMI. RESULTS We found 18 significantly associated proteins for overall OA burden, of which 5 stayed significant after multiple testing correction: circulating cartilage acidic protein 1 (CRTAC1), cartilage oligomeric matrix protein (COMP), thrombospondin 4, IL-18 receptor 1 (IL-18R1) and TNF ligand superfamily member 14. These proteins were also associated with progression of knee OA, with the exception of IL-18R1. The strongest association was found for the level of CRTAC1, with 1 s.d. increase in protein level resulting in an increase of 0.09 (95% CI 0.06, 0.12) in the overall OA Kellgren-Lawrence sum score (P = 2.9 × 10-8) in the model adjusted for age, sex, BMI and cell counts. This association was also present with the severity of OA in all three joints and progression of knee OA and was independent of BMI. We observed a stronger association for CRTAC1 with OA than for the well-known OA biomarker COMP. CONCLUSION We identified several compelling biomarkers reflecting the overall OA burden and the increased risk for OA progression. CRTAC1 was the most compelling and robust biomarker for OA severity and progression. Such a biomarker may be used for disease monitoring.
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Affiliation(s)
| | | | | | | | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | | | - Joyce B J van Meurs
- Correspondence to: Prof. dr. Joyce B. J. van Meurs, Department of Internal Medicine, Erasmus MC University Medical Center, P.O. Box 2040, 3000 CA Rotterdam, The Netherlands. E-mail:
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9
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Sedaghati-Khayat B, Boer CG, Runhaar J, Bierma-Zeinstra SMA, Broer L, Ikram MA, Zeggini E, Uitterlinden AG, van Rooij JGJ, van Meurs JBJ. Risk assessment for hip and knee osteoarthritis using polygenic risk scores. Arthritis Rheumatol 2022; 74:1488-1496. [PMID: 35644035 PMCID: PMC9541521 DOI: 10.1002/art.42246] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Revised: 04/24/2022] [Accepted: 05/24/2022] [Indexed: 11/25/2022]
Abstract
Objective Polygenic risk scores (PRS) allow risk stratification using common single‐nucleotide polymorphisms (SNPs), and clinical applications are currently explored for several diseases. This study was undertaken to assess the risk of hip and knee osteoarthritis (OA) using PRS. Methods We analyzed 12,732 individuals from a population‐based cohort from the Rotterdam Study (n = 11,496), a clinical cohort (Cohort Hip and Cohort Knee [CHECK] study; n = 908), and a high‐risk cohort of overweight women (Prevention of Knee OA in Overweight Females [PROOF] study; n = 328), for the association of the PRS with prevalence/incidence of radiographic OA, of clinical OA, and of total hip replacement (THR) or total knee replacement (TKR). The hip PRS and knee PRS contained 44 and 24 independent SNPs, respectively, and were derived from a recent genome‐wide association study meta‐analysis. Standardized PRS (with Z transformation) were used in all analyses. Results We found a stronger association of the PRS for clinically defined OA compared to radiographic OA phenotypes, and we observed the highest PRS risk stratification for TKR/THR. The odds ratio (OR) per SD was 1.3 for incident THR (95% confidence interval [95% CI] 1.1–1.5) and 1.6 (95% CI 1.3–1.9) for incident TKR in the Rotterdam Study. The knee PRS was associated with incident clinical knee OA in the CHECK study (OR 1.3 [95% CI 1.1–1.5]), but not for the PROOF study (OR 1.2 [95% CI 0.8–1.7]). The OR for OA increased gradually across the PRS distribution, up to 2.1 (95% CI 1.4–3.2) for individuals with the 10% highest PRS compared to the middle 50% of the PRS distribution. Conclusion Our findings validated the association of PRS across OA definitions. Since OA is becoming frequent and primary prevention is not commonly applicable, PRS‐based risk assessment could play a role in OA prevention. However, the utility of PRS is dependent on the setting. Further studies are needed to test the integration of genetic risk assessment in diverse health care settings.
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Affiliation(s)
- Bahar Sedaghati-Khayat
- Department of Internal medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Cindy G Boer
- Department of Internal medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Jos Runhaar
- Department of General Practice, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Sita M A Bierma-Zeinstra
- Department of General Practice, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.,Department of Orthopaedics & Sports Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Linda Broer
- Department of Internal medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Eleftheria Zeggini
- Institute of Translational Genomics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.,Technical University of Munich (TUM) and Klinikum Rechts der Isar, TUM School of Medicine, Munich, Germany
| | - André G Uitterlinden
- Department of Internal medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.,Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Jeroen G J van Rooij
- Department of Internal medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Joyce B J van Meurs
- Department of Internal medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.,Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
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10
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Lehmann J, Narcisi R, Franceschini N, Chatzivasileiou D, Boer CG, Koevoet WJLM, Putavet D, Drabek D, van Haperen R, de Keizer PLJ, van Osch GJVM, Ten Berge D. WNT/beta-catenin signalling interrupts a senescence-induction cascade in human mesenchymal stem cells that restricts their expansion. Cell Mol Life Sci 2022; 79:82. [PMID: 35048158 PMCID: PMC8770385 DOI: 10.1007/s00018-021-04035-x] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Revised: 10/18/2021] [Accepted: 11/09/2021] [Indexed: 12/23/2022]
Abstract
Senescence, the irreversible cell cycle arrest of damaged cells, is accompanied by a deleterious pro-inflammatory senescence-associated secretory phenotype (SASP). Senescence and the SASP are major factors in aging, cancer, and degenerative diseases, and interfere with the expansion of adult cells in vitro, yet little is known about how to counteract their induction and deleterious effects. Paracrine signals are increasingly recognized as important senescence triggers and understanding their regulation and mode of action may provide novel opportunities to reduce senescence-induced inflammation and improve cell-based therapies. Here, we show that the signalling protein WNT3A counteracts the induction of paracrine senescence in cultured human adult mesenchymal stem cells (MSCs). We find that entry into senescence in a small subpopulation of MSCs triggers a secretome that causes a feed-forward signalling cascade that with increasing speed induces healthy cells into senescence. WNT signals interrupt this cascade by repressing cytokines that mediate this induction of senescence. Inhibition of those mediators by interference with NF-κB or interleukin 6 signalling reduced paracrine senescence in absence of WNT3A and promoted the expansion of MSCs. Our work reveals how WNT signals can antagonize senescence and has relevance not only for expansion of adult cells but can also provide new insights into senescence-associated inflammatory and degenerative diseases.
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Affiliation(s)
- Johannes Lehmann
- Department of Otorhinolaryngology and Head and Neck Surgery, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.,Department of Cell Biology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.,Center for Molecular Medicine, Section Molecular Cancer Research, Division LAB, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Roberto Narcisi
- Department of Orthopaedics and Sports Medicine, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Natasja Franceschini
- Department of Otorhinolaryngology and Head and Neck Surgery, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Danai Chatzivasileiou
- Department of Otorhinolaryngology and Head and Neck Surgery, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Cindy G Boer
- Department of Internal Medicine, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Wendy J L M Koevoet
- Department of Otorhinolaryngology and Head and Neck Surgery, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Diana Putavet
- Center for Molecular Medicine, Section Molecular Cancer Research, Division LAB, University Medical Center Utrecht, Utrecht, The Netherlands.,Department of Genetics, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Dubravka Drabek
- Department of Cell Biology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.,Harbour Biomed, Rotterdam, the Netherlands
| | - Rien van Haperen
- Department of Cell Biology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.,Harbour Biomed, Rotterdam, the Netherlands
| | - Peter L J de Keizer
- Center for Molecular Medicine, Section Molecular Cancer Research, Division LAB, University Medical Center Utrecht, Utrecht, The Netherlands.,Department of Genetics, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Gerjo J V M van Osch
- Department of Otorhinolaryngology and Head and Neck Surgery, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.,Department of Orthopaedics and Sports Medicine, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Derk Ten Berge
- Department of Cell Biology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.
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11
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Hartley A, Sanderson E, Granell R, Paternoster L, Zheng J, Smith GD, Southam L, Hatzikotoulas K, Boer CG, van Meurs J, Zeggini E, Gregson CL, Tobias JH. Using multivariable Mendelian randomization to estimate the causal effect of bone mineral density on osteoarthritis risk, independently of body mass index. Int J Epidemiol 2021; 51:1254-1267. [PMID: 34897459 PMCID: PMC9365636 DOI: 10.1093/ije/dyab251] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Accepted: 11/15/2021] [Indexed: 02/03/2023] Open
Abstract
OBJECTIVES Observational analyses suggest that high bone mineral density (BMD) is a risk factor for osteoarthritis (OA); it is unclear whether this represents a causal effect or shared aetiology and whether these relationships are body mass index (BMI)-independent. We performed bidirectional Mendelian randomization (MR) to uncover the causal pathways between BMD, BMI and OA. METHODS One-sample (1S)MR estimates were generated by two-stage least-squares regression. Unweighted allele scores instrumented each exposure. Two-sample (2S)MR estimates were generated using inverse-variance weighted random-effects meta-analysis. Multivariable MR (MVMR), including BMD and BMI instruments in the same model, determined the BMI-independent causal pathway from BMD to OA. Latent causal variable (LCV) analysis, using weight-adjusted femoral neck (FN)-BMD and hip/knee OA summary statistics, determined whether genetic correlation explained the causal effect of BMD on OA. RESULTS 1SMR provided strong evidence for a causal effect of BMD estimated from heel ultrasound (eBMD) on hip and knee OA {odds ratio [OR]hip = 1.28 [95% confidence interval (CI) = 1.05, 1.57], p = 0.02, ORknee = 1.40 [95% CI = 1.20, 1.63], p = 3 × 10-5, OR per standard deviation [SD] increase}. 2SMR effect sizes were consistent in direction. Results suggested that the causal pathways between eBMD and OA were bidirectional (βhip = 1.10 [95% CI = 0.36, 1.84], p = 0.003, βknee = 4.16 [95% CI = 2.74, 5.57], p = 8 × 10-9, β = SD increase per doubling in risk). MVMR identified a BMI-independent causal pathway between eBMD and hip/knee OA. LCV suggested that genetic correlation (i.e. shared genetic aetiology) did not fully explain the causal effects of BMD on hip/knee OA. CONCLUSIONS These results provide evidence for a BMI-independent causal effect of eBMD on OA. Despite evidence of bidirectional effects, the effect of BMD on OA did not appear to be fully explained by shared genetic aetiology, suggesting a direct action of bone on joint deterioration.
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Affiliation(s)
- April Hartley
- MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.,Musculoskeletal Research Unit, Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Eleanor Sanderson
- MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Raquel Granell
- MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Lavinia Paternoster
- MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Jie Zheng
- MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - George Davey Smith
- MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Lorraine Southam
- Institute of Translational Genomics, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764, Neuherberg, Germany
| | - Konstantinos Hatzikotoulas
- Institute of Translational Genomics, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764, Neuherberg, Germany
| | - Cindy G Boer
- Department of Internal Medicine and Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | - Joyce van Meurs
- Department of Internal Medicine and Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | - Eleftheria Zeggini
- Institute of Translational Genomics, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764, Neuherberg, Germany
| | | | - Celia L Gregson
- Musculoskeletal Research Unit, Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Jon H Tobias
- MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.,Musculoskeletal Research Unit, Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
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12
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Boer CG, Hatzikotoulas K, Southam L, Stefánsdóttir L, Zhang Y, Coutinho de Almeida R, Wu TT, Zheng J, Hartley A, Teder-Laving M, Skogholt AH, Terao C, Zengini E, Alexiadis G, Barysenka A, Bjornsdottir G, Gabrielsen ME, Gilly A, Ingvarsson T, Johnsen MB, Jonsson H, Kloppenburg M, Luetge A, Lund SH, Mägi R, Mangino M, Nelissen RR, Shivakumar M, Steinberg J, Takuwa H, Thomas LF, Tuerlings M, Babis GC, Yin Cheung JP, Kang JH, Kraft P, Lietman SA, Samartzis D, Slagboom PE, Stefansson K, Thorsteinsdottir U, Tobias JH, Uitterlinden AG, Winsvold B, Zwart JA, Smith GD, Sham PC, Thorleifsson G, Gaunt TR, Morris AP, Valdes AM, Tsezou A, Cheah KS, Ikegawa S, Hveem K, Esko T, Wilkinson JM, Meulenbelt I, Michael Lee MT, van Meurs JB, Styrkársdóttir U, Zeggini E. Deciphering osteoarthritis genetics across 826,690 individuals from 9 populations. Cell 2021; 184:6003-6005. [PMID: 34822786 PMCID: PMC8658458 DOI: 10.1016/j.cell.2021.11.003] [Citation(s) in RCA: 44] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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13
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Boer CG, Hatzikotoulas K, Southam L, Stefánsdóttir L, Zhang Y, Coutinho de Almeida R, Wu TT, Zheng J, Hartley A, Teder-Laving M, Skogholt AH, Terao C, Zengini E, Alexiadis G, Barysenka A, Bjornsdottir G, Gabrielsen ME, Gilly A, Ingvarsson T, Johnsen MB, Jonsson H, Kloppenburg M, Luetge A, Lund SH, Mägi R, Mangino M, Nelissen RRGHH, Shivakumar M, Steinberg J, Takuwa H, Thomas LF, Tuerlings M, Babis GC, Cheung JPY, Kang JH, Kraft P, Lietman SA, Samartzis D, Slagboom PE, Stefansson K, Thorsteinsdottir U, Tobias JH, Uitterlinden AG, Winsvold B, Zwart JA, Davey Smith G, Sham PC, Thorleifsson G, Gaunt TR, Morris AP, Valdes AM, Tsezou A, Cheah KSE, Ikegawa S, Hveem K, Esko T, Wilkinson JM, Meulenbelt I, Lee MTM, van Meurs JBJ, Styrkársdóttir U, Zeggini E. Deciphering osteoarthritis genetics across 826,690 individuals from 9 populations. Cell 2021; 184:4784-4818.e17. [PMID: 34450027 PMCID: PMC8459317 DOI: 10.1016/j.cell.2021.07.038] [Citation(s) in RCA: 136] [Impact Index Per Article: 45.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2020] [Revised: 03/26/2021] [Accepted: 07/30/2021] [Indexed: 12/19/2022]
Abstract
Osteoarthritis affects over 300 million people worldwide. Here, we conduct a genome-wide association study meta-analysis across 826,690 individuals (177,517 with osteoarthritis) and identify 100 independently associated risk variants across 11 osteoarthritis phenotypes, 52 of which have not been associated with the disease before. We report thumb and spine osteoarthritis risk variants and identify differences in genetic effects between weight-bearing and non-weight-bearing joints. We identify sex-specific and early age-at-onset osteoarthritis risk loci. We integrate functional genomics data from primary patient tissues (including articular cartilage, subchondral bone, and osteophytic cartilage) and identify high-confidence effector genes. We provide evidence for genetic correlation with phenotypes related to pain, the main disease symptom, and identify likely causal genes linked to neuronal processes. Our results provide insights into key molecular players in disease processes and highlight attractive drug targets to accelerate translation.
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Affiliation(s)
- Cindy G Boer
- Department of Internal Medicine, Erasmus MC, Medical Center, 3015CN Rotterdam, the Netherlands
| | - Konstantinos Hatzikotoulas
- Institute of Translational Genomics, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany
| | - Lorraine Southam
- Institute of Translational Genomics, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany
| | | | - Yanfei Zhang
- Genomic Medicine Institute, Geisinger Health System, Danville, PA 17822, USA
| | - Rodrigo Coutinho de Almeida
- Department of Biomedical Data Sciences, Section Molecular Epidemiology, Postzone S05-P Leiden University Medical Center, 2333ZC Leiden, the Netherlands
| | - Tian T Wu
- Department of Psychiatry, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong, China
| | - Jie Zheng
- MRC Integrative Epidemiology Unit (IEU), Bristol Medical School, University of Bristol, Oakfield House, Oakfield Grove, Bristol BS8 2BN, UK
| | - April Hartley
- MRC Integrative Epidemiology Unit (IEU), Bristol Medical School, University of Bristol, Oakfield House, Oakfield Grove, Bristol BS8 2BN, UK; Musculoskeletal Research Unit, Translation Health Sciences, Bristol Medical School, University of Bristol, Southmead Hospital, Bristol BS10 5NB, UK
| | - Maris Teder-Laving
- Estonian Genome Center, Institute of Genomics, University of Tartu, 51010 Tartu, Estonia
| | - Anne Heidi Skogholt
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, 7491 Trondheim, Norway
| | - Chikashi Terao
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Kanagawa 230-0045, Japan
| | - Eleni Zengini
- 4(th) Psychiatric Department, Dromokaiteio Psychiatric Hospital, 12461 Athens, Greece
| | - George Alexiadis
- 1(st) Department of Orthopaedics, KAT General Hospital, 14561 Athens, Greece
| | - Andrei Barysenka
- Institute of Translational Genomics, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany
| | | | - Maiken E Gabrielsen
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, 7491 Trondheim, Norway
| | - Arthur Gilly
- Institute of Translational Genomics, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany
| | - Thorvaldur Ingvarsson
- Faculty of Medicine, University of Iceland, 101 Reykjavik, Iceland; Department of Orthopedic Surgery, Akureyri Hospital, 600 Akureyri, Iceland
| | - Marianne B Johnsen
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, 7491 Trondheim, Norway; Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, 0316 Oslo, Norway; Research and Communication Unit for Musculoskeletal Health (FORMI), Department of Research, Innovation and Education, Division of Clinical Neuroscience, Oslo University Hospital, 0424 Oslo, Norway
| | - Helgi Jonsson
- Department of Medicine, Landspitali The National University Hospital of Iceland, 108 Reykjavik, Iceland; Faculty of Medicine, University of Iceland, 101 Reykjavik, Iceland
| | - Margreet Kloppenburg
- Departments of Rheumatology and Clinical Epidemiology, Leiden University Medical Center, 9600, 23OORC Leiden, the Netherlands
| | - Almut Luetge
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, 7491 Trondheim, Norway
| | | | - Reedik Mägi
- Estonian Genome Center, Institute of Genomics, University of Tartu, 51010 Tartu, Estonia
| | - Massimo Mangino
- Department of Twin Research and Genetic Epidemiology, Kings College London, London SE1 7EH, UK
| | - Rob R G H H Nelissen
- Department of Orthopaedics, Leiden University Medical Center, 9600, 23OORC Leiden, the Netherlands
| | - Manu Shivakumar
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Julia Steinberg
- Institute of Translational Genomics, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany; Daffodil Centre, The University of Sydney, a joint venture with Cancer Council NSW, Sydney, NSW 1340, Australia
| | - Hiroshi Takuwa
- Laboratory for Bone and Joint Diseases, RIKEN Center for Integrative Medical Sciences, Tokyo 108-8639, Japan; Department of Orthopedic Surgery, Shimane University, Shimane 693-8501, Japan
| | - Laurent F Thomas
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, 7491 Trondheim, Norway; Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, 7491 Trondheim, Norway; BioCore-Bioinformatics Core Facility, Norwegian University of Science and Technology, 7491 Trondheim, Norway; Clinic of Laboratory Medicine, St. Olavs Hospital, Trondheim University Hospital, 7030 Trondheim, Norway
| | - Margo Tuerlings
- Department of Biomedical Data Sciences, Section Molecular Epidemiology, Postzone S05-P Leiden University Medical Center, 2333ZC Leiden, the Netherlands
| | - George C Babis
- 2(nd) Department of Orthopaedics, National and Kapodistrian University of Athens, Medical School, Nea Ionia General Hospital Konstantopouleio, 14233 Athens, Greece
| | - Jason Pui Yin Cheung
- Department of Orthopaedics and Traumatology, The University of Hong Kong, Pokfulam, Hong Kong, China
| | - Jae Hee Kang
- Department of Medicine, Brigham and Women's Hospital, 181 Longwood Ave, Boston, MA 02115, USA
| | - Peter Kraft
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, 677 Huntington Avenue, Boston, MA 02115, USA
| | - Steven A Lietman
- Musculoskeletal Institute, Geisinger Health System, Danville, PA 17822, USA
| | - Dino Samartzis
- Department of Orthopaedics and Traumatology, The University of Hong Kong, Pokfulam, Hong Kong, China; Department of Orthopaedic Surgery, Rush University Medical Center, Chicago, IL 60612, USA
| | - P Eline Slagboom
- Department of Biomedical Data Sciences, Section Molecular Epidemiology, Postzone S05-P Leiden University Medical Center, 2333ZC Leiden, the Netherlands
| | - Kari Stefansson
- deCODE Genetics/Amgen Inc., 102 Reykjavik, Iceland; Faculty of Medicine, University of Iceland, 101 Reykjavik, Iceland
| | - Unnur Thorsteinsdottir
- deCODE Genetics/Amgen Inc., 102 Reykjavik, Iceland; Faculty of Medicine, University of Iceland, 101 Reykjavik, Iceland
| | - Jonathan H Tobias
- Musculoskeletal Research Unit, Translation Health Sciences, Bristol Medical School, University of Bristol, Southmead Hospital, Bristol BS10 5NB, UK; MRC Integrative Epidemiology Unit (IEU), Bristol Medical School, University of Bristol, Oakfield House, Oakfield Grove, Bristol BS8 2BN, UK
| | - André G Uitterlinden
- Department of Internal Medicine, Erasmus MC, Medical Center, 3015CN Rotterdam, the Netherlands
| | - Bendik Winsvold
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, 7491 Trondheim, Norway; Department of Research, Innovation and Education, Division of Clinical Neuroscience, Oslo University Hospital and University of Oslo, 0450 Oslo, Norway; Department of Neurology, Oslo University Hospital, 0424 Oslo, Norway
| | - John-Anker Zwart
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, 7491 Trondheim, Norway; Department of Research, Innovation and Education, Division of Clinical Neuroscience, Oslo University Hospital and University of Oslo, 0450 Oslo, Norway
| | - George Davey Smith
- MRC Integrative Epidemiology Unit (IEU), Bristol Medical School, University of Bristol, Oakfield House, Oakfield Grove, Bristol BS8 2BN, UK; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 2BN, UK
| | - Pak Chung Sham
- Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong, China
| | | | - Tom R Gaunt
- MRC Integrative Epidemiology Unit (IEU), Bristol Medical School, University of Bristol, Oakfield House, Oakfield Grove, Bristol BS8 2BN, UK
| | - Andrew P Morris
- Centre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, University of Manchester, Manchester M13 9LJ, UK
| | - Ana M Valdes
- Faculty of Medicine and Health Sciences, School of Medicine, University of Nottingham, Nottingham, Nottinghamshire NG5 1PB, UK
| | - Aspasia Tsezou
- Laboratory of Cytogenetics and Molecular Genetics, Faculty of Medicine, University of Thessaly, Larissa 411 10, Greece
| | - Kathryn S E Cheah
- School of Biomedical Sciences, The University of Hong Kong, Pokfulam, Hong Kong, China
| | - Shiro Ikegawa
- Laboratory for Bone and Joint Diseases, RIKEN Center for Integrative Medical Sciences, Tokyo 108-8639, Japan
| | - Kristian Hveem
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, 7491 Trondheim, Norway; HUNT Research Center, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, 7600 Levanger, Norway
| | - Tõnu Esko
- Estonian Genome Center, Institute of Genomics, University of Tartu, 51010 Tartu, Estonia
| | - J Mark Wilkinson
- Department of Oncology and Metabolism and Healthy Lifespan Institute, University of Sheffield, Sheffield S10 2RX, UK
| | - Ingrid Meulenbelt
- Department of Biomedical Data Sciences, Section Molecular Epidemiology, Postzone S05-P Leiden University Medical Center, 2333ZC Leiden, the Netherlands
| | - Ming Ta Michael Lee
- Genomic Medicine Institute, Geisinger Health System, Danville, PA 17822, USA; Institute of Biomedical Sciences, Academia Sinica, 115 Taipei, Taiwan
| | - Joyce B J van Meurs
- Department of Internal Medicine, Erasmus MC, Medical Center, 3015CN Rotterdam, the Netherlands
| | | | - Eleftheria Zeggini
- Institute of Translational Genomics, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany; TUM School of Medicine, Technical University of Munich and Klinikum Rechts der Isar, 81675 Munich, Germany.
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14
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Abstract
PURPOSE OF THE REVIEW The human gut harbors a complex community of microbes that influence many processes regulating musculoskeletal development and homeostasis. This review gives an update on the current knowledge surrounding the impact of the gut microbiota on musculoskeletal health, with an emphasis on research conducted over the last three years. RECENT FINDINGS The gut microbiota and their metabolites are associated with sarcopenia, osteoporosis, osteoarthritis, and rheumatoid arthritis. The field is moving fast from describing simple correlations to pursue establishing causation through clinical trials. The gut microbiota and their microbial-synthesized metabolites hold promise for offering new potential alternatives for the prevention and treatment of musculoskeletal diseases given its malleability and response to environmental stimuli.
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Affiliation(s)
- R Li
- Department of Internal Medicine, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - C G Boer
- Department of Internal Medicine, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - L Oei
- Department of Internal Medicine, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Department of Internal Medicine, Leiden University Medical Center, Leiden, The Netherlands
| | - Carolina Medina-Gomez
- Department of Internal Medicine, Erasmus MC University Medical Center, Rotterdam, The Netherlands.
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15
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Boer CG, Szilagyi I, Nguyen NL, Neogi T, Meulenbelt I, Ikram MA, Uitterlinden AG, Bierma-Zeinstra S, Stricker BH, van Meurs JB. Vitamin K antagonist anticoagulant usage is associated with increased incidence and progression of osteoarthritis. Ann Rheum Dis 2021; 80:598-604. [PMID: 34412027 PMCID: PMC8053344 DOI: 10.1136/annrheumdis-2020-219483] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Revised: 01/19/2021] [Accepted: 01/20/2021] [Indexed: 12/15/2022]
Abstract
OBJECTIVES Vitamin K is hypothesised to play a role in osteoarthritis (OA) pathogenesis through effects on vitamin K-dependent bone and cartilage proteins, and therefore may represent a modifiable risk factor. A genetic variant in a vitamin K-dependent protein that is an essential inhibitor for cartilage calcification, matrix Gla protein (MGP), was associated with an increased risk for OA. Vitamin K antagonist anticoagulants (VKAs), such as warfarin and acenocoumarol, act as anticoagulants through inhibition of vitamin K-dependent blood coagulation proteins. VKAs likely also affect the functioning of other vitamin K-dependent proteins such as MGP. METHODS We investigated the effect of acenocoumarol usage on progression and incidence of radiographic OA in 3494 participants of the Rotterdam Study cohort. We also examined the effect of MGP and VKORC1 single nucleotide variants on this association. RESULTS Acenocoumarol usage was associated with an increased risk of OA incidence and progression (OR=2.50, 95% CI=1.94-3.20), both for knee (OR=2.34, 95% CI=1.67-3.22) and hip OA (OR=2.74, 95% CI=1.82-4.11). Among acenocoumarol users, carriers of the high VKORC1(BB) expression haplotype together with the MGP OA risk allele (rs1800801-T) had an increased risk of OA incidence and progression (OR=4.18, 95% CI=2.69-6.50), while this relationship was not present in non-users of that group (OR=1.01, 95% CI=0.78-1.33). CONCLUSIONS These findings support the importance of vitamin K and vitamin K-dependent proteins, as MGP, in the pathogenesis of OA. Additionally, these results may have direct implications for the clinical prevention of OA, supporting the consideration of direct oral anticoagulants in favour of VKAs.
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Affiliation(s)
- Cindy G Boer
- Department of Internal Medicine, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Ingrid Szilagyi
- Department of Internal Medicine, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
- Department of General Practice, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - N Long Nguyen
- Department of Internal Medicine, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Tuhina Neogi
- Section of Rheumatology, Department of Medicine, Boston University Medical Campus, Boston, Massachusetts, USA
| | - Ingrid Meulenbelt
- Section Molecular Epidemiology, Department Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - André G Uitterlinden
- Department of Internal Medicine, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Sita Bierma-Zeinstra
- Department of General Practice, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Bruno H Stricker
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Joyce B van Meurs
- Department of Internal Medicine, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
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16
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Styrkarsdottir U, Stefansson OA, Gunnarsdottir K, Thorleifsson G, Lund SH, Stefansdottir L, Juliusson K, Agustsdottir AB, Zink F, Halldorsson GH, Ivarsdottir EV, Benonisdottir S, Jonsson H, Gylfason A, Norland K, Trajanoska K, Boer CG, Southam L, Leung JCS, Tang NLS, Kwok TCY, Lee JSW, Ho SC, Byrjalsen I, Center JR, Lee SH, Koh JM, Lohmander LS, Ho-Pham LT, Nguyen TV, Eisman JA, Woo J, Leung PC, Loughlin J, Zeggini E, Christiansen C, Rivadeneira F, van Meurs J, Uitterlinden AG, Mogensen B, Jonsson H, Ingvarsson T, Sigurdsson G, Benediktsson R, Sulem P, Jonsdottir I, Masson G, Holm H, Norddahl GL, Thorsteinsdottir U, Gudbjartsson DF, Stefansson K. GWAS of bone size yields twelve loci that also affect height, BMD, osteoarthritis or fractures. Nat Commun 2019; 10:2054. [PMID: 31053729 PMCID: PMC6499783 DOI: 10.1038/s41467-019-09860-0] [Citation(s) in RCA: 61] [Impact Index Per Article: 12.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2018] [Accepted: 04/03/2019] [Indexed: 12/12/2022] Open
Abstract
Bone area is one measure of bone size that is easily derived from dual-energy X-ray absorptiometry (DXA) scans. In a GWA study of DXA bone area of the hip and lumbar spine (N ≥ 28,954), we find thirteen independent association signals at twelve loci that replicate in samples of European and East Asian descent (N = 13,608 - 21,277). Eight DXA area loci associate with osteoarthritis, including rs143384 in GDF5 and a missense variant in COL11A1 (rs3753841). The strongest DXA area association is with rs11614913[T] in the microRNA MIR196A2 gene that associates with lumbar spine area (P = 2.3 × 10-42, β = -0.090) and confers risk of hip fracture (P = 1.0 × 10-8, OR = 1.11). We demonstrate that the risk allele is less efficient in repressing miR-196a-5p target genes. We also show that the DXA area measure contributes to the risk of hip fracture independent of bone density.
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Affiliation(s)
| | | | | | | | - Sigrun H Lund
- deCODE genetics/Amgen Inc., Reykjavik, 101, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, 101, Iceland
| | | | | | | | - Florian Zink
- deCODE genetics/Amgen Inc., Reykjavik, 101, Iceland
| | | | | | | | | | | | | | - Katerina Trajanoska
- Department of Epidemiology, ErasmusMC, 3015 GD, Rotterdam, The Netherlands
- Department of Internal Medicine, ErasmusMC, 3015 GD, Rotterdam, the Netherlands
| | - Cindy G Boer
- Department of Internal Medicine, ErasmusMC, 3015 GD, Rotterdam, the Netherlands
| | - Lorraine Southam
- Wellcome Trust Sanger Institute, Hinxton, CB10 1SA, UK
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK
| | - Jason C S Leung
- Jockey Club Centre for Osteoporosis Care and Control, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
| | - Nelson L S Tang
- Faculty of Medicine, Department of Chemical Pathology and Laboratory for Genetics of Disease Susceptibility, Li Ka Shing Institute of Health Sciences,, The Chinese University of Hong Kong, Hong Kong, China
- CUHK Shenzhen Research Institute, Shenzhen, 518000, China
| | - Timothy C Y Kwok
- Jockey Club Centre for Osteoporosis Care and Control, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
- Department of Medicine and Therapeutics, Prince of Wales Hospital, Hong Kong, China
| | - Jenny S W Lee
- Faculty of Medicine, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China
- Department of Medicine, Alice Ho Miu Ling Nethersole Hospital and Tai Po Hospital, Hong Kong, China
| | - Suzanne C Ho
- JC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
| | | | - Jacqueline R Center
- Bone Biology Division, Garvan Institute of Medical Research, Sydney, NSW, 2010, Australia
- School of Medicine Sydney, University of Notre Dame Australia, Sydney, NSW, 2010, Australia
- St Vincent's Clinical School, University of New South Wales, Sydney, NSW, 2010, Australia
| | - Seung Hun Lee
- Division of Endocrinology and Metabolism, Asan Medical Center, University of Ulsan College of Medicine, Seoul, 05505, Korea
| | - Jung-Min Koh
- Division of Endocrinology and Metabolism, Asan Medical Center, University of Ulsan College of Medicine, Seoul, 05505, Korea
| | - L Stefan Lohmander
- Orthopaedics, Department of Clinical Sciences Lund, Lund University, SE-22 100, Lund, Sweden
| | - Lan T Ho-Pham
- Bone and Muscle Research Lab, Ton Duc Thang University, Ho Chi Minh City, 700000, Vietnam
| | - Tuan V Nguyen
- Bone Biology Division, Garvan Institute of Medical Research, Sydney, NSW, 2010, Australia
- St Vincent's Clinical School, University of New South Wales, Sydney, NSW, 2010, Australia
- School of Biomedical Engineering, University of Technology Sydney, Sydney, NSW, 2007, Australia
| | - John A Eisman
- Bone Biology Division, Garvan Institute of Medical Research, Sydney, NSW, 2010, Australia
- School of Medicine Sydney, University of Notre Dame Australia, Sydney, NSW, 2010, Australia
- St Vincent's Clinical School, University of New South Wales, Sydney, NSW, 2010, Australia
- Clinical Translation and Advanced Education, Garvan Institute of Medical Research, Sydney, NSW, 2010, Australia
| | - Jean Woo
- Faculty of Medicine, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China
| | - Ping-C Leung
- Jockey Club Centre for Osteoporosis Care and Control, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
- Institute of Chinese Medicine, The Chinese University of Hong Kong, Hong Kong, China
| | - John Loughlin
- Institute of Genetic Medicine, Newcastle University, Newcastle-upon-Tyne, NE1 7RU, UK
| | - Eleftheria Zeggini
- Wellcome Trust Sanger Institute, Hinxton, CB10 1SA, UK
- Institute of Translational Genomics, Helmholtz Zentrum München, 85764, München, Germany
| | | | - Fernando Rivadeneira
- Department of Epidemiology, ErasmusMC, 3015 GD, Rotterdam, The Netherlands
- Department of Internal Medicine, ErasmusMC, 3015 GD, Rotterdam, the Netherlands
| | - Joyce van Meurs
- Department of Internal Medicine, ErasmusMC, 3015 GD, Rotterdam, the Netherlands
| | | | - Brynjolfur Mogensen
- Faculty of Medicine, University of Iceland, Reykjavik, 101, Iceland
- Department of Emergengy Medicine, Landspitali, The National University Hospital of Iceland, 101, Reykjavik, Iceland
- Research Institute in Emergency Medicine, Landspitali, The National University Hospital of Iceland, and University of Iceland, 101, Reykjavik, Iceland
| | - Helgi Jonsson
- Faculty of Medicine, University of Iceland, Reykjavik, 101, Iceland
- Department of Medicine, Landspitali-The National University Hospital of Iceland, 101, Reykjavik, Iceland
| | - Thorvaldur Ingvarsson
- Faculty of Medicine, University of Iceland, Reykjavik, 101, Iceland
- Department of Orthopedic Surgery, Akureyri Hospital, 600, Akureyri, Iceland
- Institution of Health Science, University of Akureyri, 600, Akureyri, Iceland
| | - Gunnar Sigurdsson
- Faculty of Medicine, University of Iceland, Reykjavik, 101, Iceland
- Research Service Center, Reykjavik, 201, Iceland
- Department of Endocrinology and Metabolism, Landspitali, The National University Hospital of Iceland, 101, Reykjavik, Iceland
| | - Rafn Benediktsson
- Faculty of Medicine, University of Iceland, Reykjavik, 101, Iceland
- Department of Endocrinology and Metabolism, Landspitali, The National University Hospital of Iceland, 101, Reykjavik, Iceland
| | | | - Ingileif Jonsdottir
- deCODE genetics/Amgen Inc., Reykjavik, 101, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, 101, Iceland
- Department of Immunology, Landspitali-The National University Hospital of Iceland, 101, Reykjavik, Iceland
| | - Gisli Masson
- deCODE genetics/Amgen Inc., Reykjavik, 101, Iceland
| | - Hilma Holm
- deCODE genetics/Amgen Inc., Reykjavik, 101, Iceland
| | | | - Unnur Thorsteinsdottir
- deCODE genetics/Amgen Inc., Reykjavik, 101, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, 101, Iceland
| | - Daniel F Gudbjartsson
- deCODE genetics/Amgen Inc., Reykjavik, 101, Iceland
- School of Engineering and Natural Sciences, University of Iceland, Reykjavik, 107, Iceland
| | - Kari Stefansson
- deCODE genetics/Amgen Inc., Reykjavik, 101, Iceland.
- Faculty of Medicine, University of Iceland, Reykjavik, 101, Iceland.
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17
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van Meurs JB, Boer CG, Lopez-Delgado L, Riancho JA. Role of Epigenomics in Bone and Cartilage Disease. J Bone Miner Res 2019; 34:215-230. [PMID: 30715766 DOI: 10.1002/jbmr.3662] [Citation(s) in RCA: 45] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2018] [Revised: 12/03/2018] [Accepted: 01/02/2019] [Indexed: 12/14/2022]
Abstract
Phenotypic variation in skeletal traits and diseases is the product of genetic and environmental factors. Epigenetic mechanisms include information-containing factors, other than DNA sequence, that cause stable changes in gene expression and are maintained during cell divisions. They represent a link between environmental influences, genome features, and the resulting phenotype. The main epigenetic factors are DNA methylation, posttranslational changes of histones, and higher-order chromatin structure. Sometimes non-coding RNAs, such as microRNAs (miRNAs) and long non-coding RNAs (lncRNAs), are also included in the broad term of epigenetic factors. There is rapidly expanding experimental evidence for a role of epigenetic factors in the differentiation of bone cells and the pathogenesis of skeletal disorders, such as osteoporosis and osteoarthritis. However, different from genetic factors, epigenetic signatures are cell- and tissue-specific and can change with time. Thus, elucidating their role has particular difficulties, especially in human studies. Nevertheless, epigenomewide association studies are beginning to disclose some disease-specific patterns that help to understand skeletal cell biology and may lead to development of new epigenetic-based biomarkers, as well as new drug targets useful for treating diffuse and localized disorders. Here we provide an overview and update of recent advances on the role of epigenomics in bone and cartilage diseases. © 2019 American Society for Bone and Mineral Research.
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Affiliation(s)
| | - Cindy G Boer
- Department of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - Laura Lopez-Delgado
- Department of Internal Medicine, Hospital U M Valdecilla, University of Cantabria, IDIVAL, Santander, Spain
| | - Jose A Riancho
- Department of Internal Medicine, Hospital U M Valdecilla, University of Cantabria, IDIVAL, Santander, Spain
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18
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Suri P, Palmer MR, Tsepilov YA, Freidin MB, Boer CG, Yau MS, Evans DS, Gelemanovic A, Bartz TM, Nethander M, Arbeeva L, Karssen L, Neogi T, Campbell A, Mellstrom D, Ohlsson C, Marshall LM, Orwoll E, Uitterlinden A, Rotter JI, Lauc G, Psaty BM, Karlsson MK, Lane NE, Jarvik GP, Polasek O, Hochberg M, Jordan JM, Van Meurs JBJ, Jackson R, Nielson CM, Mitchell BD, Smith BH, Hayward C, Smith NL, Aulchenko YS, Williams FMK. Genome-wide meta-analysis of 158,000 individuals of European ancestry identifies three loci associated with chronic back pain. PLoS Genet 2018; 14:e1007601. [PMID: 30261039 PMCID: PMC6159857 DOI: 10.1371/journal.pgen.1007601] [Citation(s) in RCA: 82] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2018] [Accepted: 08/02/2018] [Indexed: 01/07/2023] Open
Abstract
Back pain is the #1 cause of years lived with disability worldwide, yet surprisingly little is known regarding the biology underlying this symptom. We conducted a genome-wide association study (GWAS) meta-analysis of chronic back pain (CBP). Adults of European ancestry were included from 15 cohorts in the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium, and from the UK Biobank interim data release. CBP cases were defined as those reporting back pain present for ≥3-6 months; non-cases were included as comparisons ("controls"). Each cohort conducted genotyping using commercially available arrays followed by imputation. GWAS used logistic regression models with additive genetic effects, adjusting for age, sex, study-specific covariates, and population substructure. The threshold for genome-wide significance in the fixed-effect inverse-variance weighted meta-analysis was p<5×10(-8). Suggestive (p<5×10(-7)) and genome-wide significant (p<5×10(-8)) variants were carried forward for replication or further investigation in the remaining UK Biobank participants not included in the discovery sample. The discovery sample comprised 158,025 individuals, including 29,531 CBP cases. A genome-wide significant association was found for the intronic variant rs12310519 in SOX5 (OR 1.08, p = 7.2×10(-10)). This was subsequently replicated in 283,752 UK Biobank participants not included in the discovery sample, including 50,915 cases (OR 1.06, p = 5.3×10(-11)), and exceeded genome-wide significance in joint meta-analysis (OR 1.07, p = 4.5×10(-19)). We found suggestive associations at three other loci in the discovery sample, two of which exceeded genome-wide significance in joint meta-analysis: an intergenic variant, rs7833174, located between CCDC26 and GSDMC (OR 1.05, p = 4.4×10(-13)), and an intronic variant, rs4384683, in DCC (OR 0.97, p = 2.4×10(-10)). In this first reported meta-analysis of GWAS for CBP, we identified and replicated a genetic locus associated with CBP (SOX5). We also identified 2 other loci that reached genome-wide significance in a 2-stage joint meta-analysis (CCDC26/GSDMC and DCC).
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Affiliation(s)
- Pradeep Suri
- Seattle Epidemiologic Research and Information Center (ERIC), Department of Veterans Affairs Office of Research and Development, Seattle, Washington, United States of America
- Division of Rehabilitation Care Services, VA Puget Sound Health Care System, Seattle, Washington, United States of America
- Department of Rehabilitation Medicine, University of Washington, Seattle, Washington, United States of America
| | - Melody R. Palmer
- Medical Genetics, Department of Medicine, University of Washington, Seattle, Washington, United States of America
| | - Yakov A. Tsepilov
- Polyomica, ‘s-Hertogenbosch, the Netherlands
- Laboratory of Theoretical and Applied Functional Genomics, Novosibirsk State University, Novosibirsk, Russia
- Laboratory of Recombination and Segregation Analysis, Institute of Cytology and Genetics SD RAS, Novosibirsk, Russia
| | - Maxim B. Freidin
- Department of Twin Research and Genetic Epidemiology, King’s College London, London, United Kingdom
| | - Cindy G. Boer
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Michelle S. Yau
- Institute for Aging Research, Hebrew SeniorLife, Boston, Massachusetts, United States of America
- Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, United States of America
| | - Daniel S. Evans
- California Pacific Medical Center Research Institute, San Francisco, California, United States of America
| | - Andrea Gelemanovic
- Department of Public Health, University of Split Medical School, Split, Croatia
| | - Traci M. Bartz
- Cardiovascular Health Research Unit and Department of Medicine, University of Washington, Seattle, Washington, United States of America
- Department of Biostatistics, University of Washington, Seattle, Washington, United States of America
| | - Maria Nethander
- Department of Medicine, University of Göteborg, Göteborg, Sweden
| | - Liubov Arbeeva
- Department of Medicine, School of Medicine, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | | | - Tuhina Neogi
- Clinical Epidemiology Unit, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts, United States of America
| | - Archie Campbell
- Centre for Genomic and Experimental Medicine, MRC Institute of Genetics & Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom
| | - Dan Mellstrom
- Geriatric Medicine, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, University of Gothenburg, Sweden
| | - Claes Ohlsson
- Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, University of Gothenburg, Göteborg, Sweden
| | - Lynn M. Marshall
- Department of Orthopedics and Rehabilitation, Oregon Health and Science University, Portland, Oregon, United States of America
| | - Eric Orwoll
- Department of Medicine, Oregon Health and Science University, Portland, Oregon, United States of America
| | - Andre Uitterlinden
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Jerome I. Rotter
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute, Harbor-UCLA Medical Center, Torrance, California, United States of America
- Division of Genomic Outcomes, Departments of Pediatrics and Medicine, Harbor-UCLA Medical Center, Torrance, California, United States of America
| | - Gordan Lauc
- Genos Ltd, Osijek, Croatia
- Faculty of Pharmacy and Biochemistry, University of Zagreb, Zagreb, Croatia
| | - Bruce M. Psaty
- Cardiovascular Health Research Unit and Department of Medicine, University of Washington, Seattle, Washington, United States of America
- Department of Health Services, University of Washington, Seattle, Washington, United States of America
- Department of Epidemiology, University of Washington, Seattle, Washington, United States of America
- Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, United States of America
| | - Magnus K. Karlsson
- Department of Orthopedics, Skane University Hospital, Lund University, Malmö, Sweden
| | - Nancy E. Lane
- Departments of Medicine and Rheumatology, University of California Davis, Sacramento, California, United States of America
| | - Gail P. Jarvik
- Medical Genetics, Department of Medicine, University of Washington, Seattle, Washington, United States of America
- Department of Genome Sciences, University of Washington, Seattle, Washington, United States of America
| | - Ozren Polasek
- Department of Public Health, University of Split Medical School, Split, Croatia
- Hospital “Sveti Ivan”, Zagreb, Croatia
| | - Marc Hochberg
- Departments of Medicine and Epidemiology, University of Maryland, Baltimore, Maryland, United States of America
| | - Joanne M. Jordan
- Department of Medicine, School of Medicine, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | | | - Rebecca Jackson
- Department of Medicine, The Ohio State University, Columbus, Ohio, United States of America
| | - Carrie M. Nielson
- School of Public Health, Oregon Health and Science University, Portland, Oregon, United States of America
| | - Braxton D. Mitchell
- Departments of Medicine and Epidemiology, University of Maryland, Baltimore, Maryland, United States of America
- Geriatric Research, Education and Clinical Center, Veterans Affairs Medical Center, Baltimore, Maryland, United States of America
| | - Blair H. Smith
- Division of Population Health Sciences, School of Medicine, University of Dundee, Dundee, United Kingdom
| | - Caroline Hayward
- MRC Human Genetics Unit, MRC Institute of Genetics & Molecular Medicine, University of Edinburgh, United Kingdom
| | - Nicholas L. Smith
- Seattle Epidemiologic Research and Information Center (ERIC), Department of Veterans Affairs Office of Research and Development, Seattle, Washington, United States of America
- Department of Epidemiology, University of Washington, Seattle, Washington, United States of America
- Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, United States of America
| | | | - Frances M. K. Williams
- Department of Twin Research and Genetic Epidemiology, King’s College London, London, United Kingdom
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19
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Warrington NM, Shevroja E, Hemani G, Hysi PG, Jiang Y, Auton A, Boer CG, Mangino M, Wang CA, Kemp JP, McMahon G, Medina-Gomez C, Hickey M, Trajanoska K, Wolke D, Ikram MA, Montgomery GW, Felix JF, Wright MJ, Mackey DA, Jaddoe VW, Martin NG, Tung JY, Davey Smith G, Pennell CE, Spector TD, van Meurs J, Rivadeneira F, Medland SE, Evans DM. Genome-wide association study identifies nine novel loci for 2D:4D finger ratio, a putative retrospective biomarker of testosterone exposure in utero. Hum Mol Genet 2018; 27:2025-2038. [PMID: 29659830 PMCID: PMC5961159 DOI: 10.1093/hmg/ddy121] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2017] [Revised: 03/12/2018] [Accepted: 04/03/2018] [Indexed: 02/06/2023] Open
Abstract
The ratio of the length of the index finger to that of the ring finger (2D:4D) is sexually dimorphic and is commonly used as a non-invasive biomarker of prenatal androgen exposure. Most association studies of 2D:4D ratio with a diverse range of sex-specific traits have typically involved small sample sizes and have been difficult to replicate, raising questions around the utility and precise meaning of the measure. In the largest genome-wide association meta-analysis of 2D:4D ratio to date (N = 15 661, with replication N = 75 821), we identified 11 loci (9 novel) explaining 3.8% of the variance in mean 2D:4D ratio. We also found weak evidence for association (β = 0.06; P = 0.02) between 2D:4D ratio and sensitivity to testosterone [length of the CAG microsatellite repeat in the androgen receptor (AR) gene] in females only. Furthermore, genetic variants associated with (adult) testosterone levels and/or sex hormone-binding globulin were not associated with 2D:4D ratio in our sample. Although we were unable to find strong evidence from our genetic study to support the hypothesis that 2D:4D ratio is a direct biomarker of prenatal exposure to androgens in healthy individuals, our findings do not explicitly exclude this possibility, and pathways involving testosterone may become apparent as the size of the discovery sample increases further. Our findings provide new insight into the underlying biology shaping 2D:4D variation in the general population.
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Affiliation(s)
- Nicole M Warrington
- The University of Queensland Diamantina Institute, Translational Research Institute, University of Queensland, Brisbane, QLD 4102, Australia
- Queensland Institute of Medical Research, Brisbane, QLD 4006, Australia
- Division of Obstetrics and Gynaecology, The University of Western Australia, Perth, WA 6009, Australia
| | - Enisa Shevroja
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, South Holland, The Netherlands
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, The Netherlands
| | - Gibran Hemani
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK
- Population Health Sciences, University of Bristol, Bristol BS8 2PS, UK
| | - Pirro G Hysi
- Department of Twin Research and Genetic Epidemiology, King’s College London, London SE1 7EH, UK
| | | | - Adam Auton
- 23andMe, Inc., Mountain View, CA 94061, USA
| | - Cindy G Boer
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, The Netherlands
| | - Massimo Mangino
- Department of Twin Research and Genetic Epidemiology, King’s College London, London SE1 7EH, UK
| | - Carol A Wang
- Division of Obstetrics and Gynaecology, The University of Western Australia, Perth, WA 6009, Australia
- School of Medicine and Public Health, Faculty of Medicine and Health, The University of Newcastle, Newcastle, NSW 2308, Australia
| | - John P Kemp
- The University of Queensland Diamantina Institute, Translational Research Institute, University of Queensland, Brisbane, QLD 4102, Australia
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK
- Population Health Sciences, University of Bristol, Bristol BS8 2PS, UK
| | - George McMahon
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK
- Population Health Sciences, University of Bristol, Bristol BS8 2PS, UK
| | - Carolina Medina-Gomez
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, South Holland, The Netherlands
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, Netherlands
| | - Martha Hickey
- Department of Obstetrics and Gynaecology, The University of Melbourne and the Royal Women’s Hospital, Parkville, VIC 3052, Australia
| | - Katerina Trajanoska
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, Netherlands
| | - Dieter Wolke
- Department of Psychology and Warwick Medical School, University of Warwick, Coventry CV47AL, UK
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, Netherlands
| | | | - Grant W Montgomery
- Queensland Brain Institute and Centre for Advanced Imaging, University of Queensland, Brisbane, QLD 4072, Australia
| | - Janine F Felix
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, South Holland, The Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, The Netherlands
| | - Margaret J Wright
- Queensland Brain Institute and Centre for Advanced Imaging, University of Queensland, Brisbane, QLD 4072, Australia
| | - David A Mackey
- Lions Eye Institute, Centre for Ophthalmology and Visual Science, The University of Western Australia, Perth, WA 6009, Australia
| | - Vincent W Jaddoe
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, South Holland, The Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, The Netherlands
| | - Nicholas G Martin
- Queensland Institute of Medical Research, Brisbane, QLD 4006, Australia
| | | | - George Davey Smith
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK
- Population Health Sciences, University of Bristol, Bristol BS8 2PS, UK
| | - Craig E Pennell
- Division of Obstetrics and Gynaecology, The University of Western Australia, Perth, WA 6009, Australia
- School of Medicine and Public Health, Faculty of Medicine and Health, The University of Newcastle, Newcastle, NSW 2308, Australia
| | - Tim D Spector
- Department of Twin Research and Genetic Epidemiology, King’s College London, London SE1 7EH, UK
| | - Joyce van Meurs
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, South Holland, The Netherlands
| | - Fernando Rivadeneira
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, South Holland, The Netherlands
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, Netherlands
| | - Sarah E Medland
- Queensland Institute of Medical Research, Brisbane, QLD 4006, Australia
| | - David M Evans
- The University of Queensland Diamantina Institute, Translational Research Institute, University of Queensland, Brisbane, QLD 4102, Australia
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK
- Population Health Sciences, University of Bristol, Bristol BS8 2PS, UK
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20
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Warrington NM, Shevroja E, Hemani G, Hysi PG, Jiang Y, Auton A, Boer CG, Mangino M, Wang CA, Kemp JP, McMahon G, Medina-Gomez C, Hickey M, Trajanoska K, Wolke D, Ikram MA, Montgomery GW, Felix JF, Wright MJ, Mackey DA, Jaddoe VW, Martin NG, Tung JY, Davey Smith G, Pennell CE, Spector TD, van Meurs J, Rivadeneira F, Medland SE, Evans DM. Genome-wide association study identifies nine novel loci for 2D:4D finger ratio, a putative retrospective biomarker of testosterone exposure in utero. Hum Mol Genet 2018; 27:2025-2038. [PMID: 29659830 PMCID: PMC5961159 DOI: 10.1093/hmg/ddy121 10.1093/hmg/ddy121] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2017] [Revised: 03/12/2018] [Accepted: 04/03/2018] [Indexed: 10/22/2023] Open
Abstract
The ratio of the length of the index finger to that of the ring finger (2D:4D) is sexually dimorphic and is commonly used as a non-invasive biomarker of prenatal androgen exposure. Most association studies of 2D:4D ratio with a diverse range of sex-specific traits have typically involved small sample sizes and have been difficult to replicate, raising questions around the utility and precise meaning of the measure. In the largest genome-wide association meta-analysis of 2D:4D ratio to date (N = 15 661, with replication N = 75 821), we identified 11 loci (9 novel) explaining 3.8% of the variance in mean 2D:4D ratio. We also found weak evidence for association (β = 0.06; P = 0.02) between 2D:4D ratio and sensitivity to testosterone [length of the CAG microsatellite repeat in the androgen receptor (AR) gene] in females only. Furthermore, genetic variants associated with (adult) testosterone levels and/or sex hormone-binding globulin were not associated with 2D:4D ratio in our sample. Although we were unable to find strong evidence from our genetic study to support the hypothesis that 2D:4D ratio is a direct biomarker of prenatal exposure to androgens in healthy individuals, our findings do not explicitly exclude this possibility, and pathways involving testosterone may become apparent as the size of the discovery sample increases further. Our findings provide new insight into the underlying biology shaping 2D:4D variation in the general population.
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Affiliation(s)
- Nicole M Warrington
- The University of Queensland Diamantina Institute, Translational Research Institute, University of Queensland, Brisbane, QLD 4102, Australia
- Queensland Institute of Medical Research, Brisbane, QLD 4006, Australia
- Division of Obstetrics and Gynaecology, The University of Western Australia, Perth, WA 6009, Australia
| | - Enisa Shevroja
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, South Holland, The Netherlands
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, The Netherlands
| | - Gibran Hemani
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK
- Population Health Sciences, University of Bristol, Bristol BS8 2PS, UK
| | - Pirro G Hysi
- Department of Twin Research and Genetic Epidemiology, King’s College London, London SE1 7EH, UK
| | | | - Adam Auton
- 23andMe, Inc., Mountain View, CA 94061, USA
| | - Cindy G Boer
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, The Netherlands
| | - Massimo Mangino
- Department of Twin Research and Genetic Epidemiology, King’s College London, London SE1 7EH, UK
| | - Carol A Wang
- Division of Obstetrics and Gynaecology, The University of Western Australia, Perth, WA 6009, Australia
- School of Medicine and Public Health, Faculty of Medicine and Health, The University of Newcastle, Newcastle, NSW 2308, Australia
| | - John P Kemp
- The University of Queensland Diamantina Institute, Translational Research Institute, University of Queensland, Brisbane, QLD 4102, Australia
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK
- Population Health Sciences, University of Bristol, Bristol BS8 2PS, UK
| | - George McMahon
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK
- Population Health Sciences, University of Bristol, Bristol BS8 2PS, UK
| | - Carolina Medina-Gomez
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, South Holland, The Netherlands
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, Netherlands
| | - Martha Hickey
- Department of Obstetrics and Gynaecology, The University of Melbourne and the Royal Women’s Hospital, Parkville, VIC 3052, Australia
| | - Katerina Trajanoska
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, Netherlands
| | - Dieter Wolke
- Department of Psychology and Warwick Medical School, University of Warwick, Coventry CV47AL, UK
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, Netherlands
| | | | - Grant W Montgomery
- Queensland Brain Institute and Centre for Advanced Imaging, University of Queensland, Brisbane, QLD 4072, Australia
| | - Janine F Felix
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, South Holland, The Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, The Netherlands
| | - Margaret J Wright
- Queensland Brain Institute and Centre for Advanced Imaging, University of Queensland, Brisbane, QLD 4072, Australia
| | - David A Mackey
- Lions Eye Institute, Centre for Ophthalmology and Visual Science, The University of Western Australia, Perth, WA 6009, Australia
| | - Vincent W Jaddoe
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, South Holland, The Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, The Netherlands
| | - Nicholas G Martin
- Queensland Institute of Medical Research, Brisbane, QLD 4006, Australia
| | | | - George Davey Smith
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK
- Population Health Sciences, University of Bristol, Bristol BS8 2PS, UK
| | - Craig E Pennell
- Division of Obstetrics and Gynaecology, The University of Western Australia, Perth, WA 6009, Australia
- School of Medicine and Public Health, Faculty of Medicine and Health, The University of Newcastle, Newcastle, NSW 2308, Australia
| | - Tim D Spector
- Department of Twin Research and Genetic Epidemiology, King’s College London, London SE1 7EH, UK
| | - Joyce van Meurs
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, South Holland, The Netherlands
| | - Fernando Rivadeneira
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, South Holland, The Netherlands
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, 3015 CN, Rotterdam, Netherlands
| | - Sarah E Medland
- Queensland Institute of Medical Research, Brisbane, QLD 4006, Australia
| | - David M Evans
- The University of Queensland Diamantina Institute, Translational Research Institute, University of Queensland, Brisbane, QLD 4102, Australia
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK
- Population Health Sciences, University of Bristol, Bristol BS8 2PS, UK
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Saberi Hosnijeh F, Kavousi M, Boer CG, Uitterlinden AG, Hofman A, Reijman M, Oei EHG, Bierma-Zeinstra SM, van Meurs JBJ. Development of a prediction model for future risk of radiographic hip osteoarthritis. Osteoarthritis Cartilage 2018; 26:540-546. [PMID: 29382605 DOI: 10.1016/j.joca.2018.01.015] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2017] [Revised: 12/27/2017] [Accepted: 01/18/2018] [Indexed: 02/02/2023]
Abstract
OBJECTIVE To develop and validate a prognostic model for incident radiologic hip osteoarthritis (HOA) and determine the value of previously identified predictive factors. DESIGN We first validated previously reported predictive factors for HOA by performing univariate and multivariate analyses for all predictors in three large prospective cohorts (total sample size of 4548 with 653 incident cases). The prognostic model was developed in 2327 individuals followed for 10 years from the Rotterdam Study-I (RS-I) cohort. External validation of the model was tested on discrimination in two other cohorts: RS-II (n = 1435) and the Cohort Hip and Cohort Knee (CHECK) study (n = 786). RESULTS From the total number of 28 previously reported predictive factors, we were able to replicate 13 factors, while 15 factors were not significantly predictive in a meta-analysis of the three cohorts. The basic model including the demographic, questionnaire, and clinical examination variables (area under the receiver-operating characteristic curve (AUC) = 0.67) or genetic markers (AUC = 0.55) or urinary C-terminal cross-linked telopeptide of type II collagen (uCTX-II) levels (AUC = 0.67) alone were poor predictors of HOA in all cohorts. Imaging factors showed the highest predictive value for the development of HOA (AUC = 0.74). Addition of imaging variables to the basic model led to substantial improvement in the discriminative ability of the model (AUC = 0.78) compared with uCTX-II (AUC = 0.74) or genetic markers (AUC = 0.68). Applying external validation, similar results were observed in the RS-II and the CHECK cohort. CONCLUSIONS The developed prediction model included demographic, a limited number of questionnaire, and imaging risk factors seems promising for prediction of HOA.
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Affiliation(s)
- F Saberi Hosnijeh
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands; Department of Immunology, Erasmus University Medical Center, Rotterdam, The Netherlands.
| | - M Kavousi
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands.
| | - C G Boer
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands.
| | - A G Uitterlinden
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands; Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands.
| | - A Hofman
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands.
| | - M Reijman
- Department of Orthopedics, Erasmus University Medical Center, Rotterdam, The Netherlands.
| | - E H G Oei
- Department of Radiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - S M Bierma-Zeinstra
- Department of General Practice, Erasmus University Medical Center, Rotterdam, The Netherlands.
| | - J B J van Meurs
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands.
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22
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Zengini E, Hatzikotoulas K, Tachmazidou I, Steinberg J, Hartwig FP, Southam L, Hackinger S, Boer CG, Styrkarsdottir U, Gilly A, Suveges D, Killian B, Ingvarsson T, Jonsson H, Babis GC, McCaskie A, Uitterlinden AG, van Meurs JBJ, Thorsteinsdottir U, Stefansson K, Davey Smith G, Wilkinson JM, Zeggini E. Genome-wide analyses using UK Biobank data provide insights into the genetic architecture of osteoarthritis. Nat Genet 2018; 50:549-558. [PMID: 29559693 PMCID: PMC5896734 DOI: 10.1038/s41588-018-0079-y] [Citation(s) in RCA: 175] [Impact Index Per Article: 29.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2017] [Accepted: 01/29/2018] [Indexed: 12/19/2022]
Abstract
Osteoarthritis is a common complex disease imposing a large public-health burden. Here, we performed a genome-wide association study for osteoarthritis, using data across 16.5 million variants from the UK Biobank resource. After performing replication and meta-analysis in up to 30,727 cases and 297,191 controls, we identified nine new osteoarthritis loci, in all of which the most likely causal variant was noncoding. For three loci, we detected association with biologically relevant radiographic endophenotypes, and in five signals we identified genes that were differentially expressed in degraded compared with intact articular cartilage from patients with osteoarthritis. We established causal effects on osteoarthritis for higher body mass index but not for triglyceride levels or genetic predisposition to type 2 diabetes.
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Affiliation(s)
- Eleni Zengini
- Department of Oncology and Metabolism, University of Sheffield, Sheffield, UK
- 5th Psychiatric Department, Dromokaiteio Psychiatric Hospital, Athens, Greece
| | | | - Ioanna Tachmazidou
- Human Genetics, Wellcome Trust Sanger Institute, Hinxton, UK
- GSK, R&D Target Sciences, Medicines Research Centre, Stevenage, UK
| | - Julia Steinberg
- Human Genetics, Wellcome Trust Sanger Institute, Hinxton, UK
- Cancer Research Division, Cancer Council NSW, Sydney, New South Wales, Australia
| | - Fernando P Hartwig
- Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Lorraine Southam
- Human Genetics, Wellcome Trust Sanger Institute, Hinxton, UK
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | | | - Cindy G Boer
- Departments of Internal Medicine and Epidemiology, Erasmus MC, Rotterdam, the Netherlands
| | | | - Arthur Gilly
- Human Genetics, Wellcome Trust Sanger Institute, Hinxton, UK
| | - Daniel Suveges
- Human Genetics, Wellcome Trust Sanger Institute, Hinxton, UK
| | - Britt Killian
- Human Genetics, Wellcome Trust Sanger Institute, Hinxton, UK
| | - Thorvaldur Ingvarsson
- Department of Orthopaedic Surgery, Akureyri Hospital, Akureyri, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
- Institution of Health Science, University of Akureyri, Akureyri, Iceland
| | - Helgi Jonsson
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
- Department of Medicine, Landspitali, National University Hospital of Iceland, Reykjavik, Iceland
| | - George C Babis
- 2nd Department of Orthopaedic Surgery, Konstantopouleio General Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Andrew McCaskie
- Division of Trauma & Orthopaedic Surgery, Department of Surgery, University of Cambridge, Addenbrooke's Hospital, Cambridge, UK
| | - Andre G Uitterlinden
- Departments of Internal Medicine and Epidemiology, Erasmus MC, Rotterdam, the Netherlands
| | - Joyce B J van Meurs
- Departments of Internal Medicine and Epidemiology, Erasmus MC, Rotterdam, the Netherlands
| | - Unnur Thorsteinsdottir
- deCODE genetics/Amgen, Reykjavik, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Kari Stefansson
- deCODE genetics/Amgen, Reykjavik, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - George Davey Smith
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, University of Bristol, Bristol, UK
- National Institute for Health Research, Bristol Biomedical Research Centre, University Hospitals Bristol, NHS Foundation Trust and University of Bristol, Bristol, UK
| | - Jeremy M Wilkinson
- Department of Oncology and Metabolism, University of Sheffield, Sheffield, UK
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23
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Medina-Gomez C, Kemp JP, Trajanoska K, Luan J, Chesi A, Ahluwalia TS, Mook-Kanamori DO, Ham A, Hartwig FP, Evans DS, Joro R, Nedeljkovic I, Zheng HF, Zhu K, Atalay M, Liu CT, Nethander M, Broer L, Porleifsson G, Mullin BH, Handelman SK, Nalls MA, Jessen LE, Heppe DH, Richards JB, Wang C, Chawes B, Schraut KE, Amin N, Wareham N, Karasik D, Van der Velde N, Ikram MA, Zemel BS, Zhou Y, Carlsson CJ, Liu Y, McGuigan FE, Boer CG, Bønnelykke K, Ralston SH, Robbins JA, Walsh JP, Zillikens MC, Langenberg C, Li-Gao R, Williams FM, Harris TB, Akesson K, Jackson RD, Sigurdsson G, den Heijer M, van der Eerden BC, van de Peppel J, Spector TD, Pennell C, Horta BL, Felix JF, Zhao JH, Wilson SG, de Mutsert R, Bisgaard H, Styrkársdóttir U, Jaddoe VW, Orwoll E, Lakka TA, Scott R, Grant SF, Lorentzon M, van Duijn CM, Wilson JF, Stefansson K, Psaty BM, Kiel DP, Ohlsson C, Ntzani E, van Wijnen AJ, Forgetta V, Ghanbari M, Logan JG, Williams GR, Bassett JD, Croucher PI, Evangelou E, Uitterlinden AG, Ackert-Bicknell CL, Tobias JH, Evans DM, Rivadeneira F. Life-Course Genome-wide Association Study Meta-analysis of Total Body BMD and Assessment of Age-Specific Effects. Am J Hum Genet 2018; 102:88-102. [PMID: 29304378 DOI: 10.1016/j.ajhg.2017.12.005] [Citation(s) in RCA: 200] [Impact Index Per Article: 33.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2017] [Accepted: 11/30/2017] [Indexed: 12/22/2022] Open
Abstract
Bone mineral density (BMD) assessed by DXA is used to evaluate bone health. In children, total body (TB) measurements are commonly used; in older individuals, BMD at the lumbar spine (LS) and femoral neck (FN) is used to diagnose osteoporosis. To date, genetic variants in more than 60 loci have been identified as associated with BMD. To investigate the genetic determinants of TB-BMD variation along the life course and test for age-specific effects, we performed a meta-analysis of 30 genome-wide association studies (GWASs) of TB-BMD including 66,628 individuals overall and divided across five age strata, each spanning 15 years. We identified variants associated with TB-BMD at 80 loci, of which 36 have not been previously identified; overall, they explain approximately 10% of the TB-BMD variance when combining all age groups and influence the risk of fracture. Pathway and enrichment analysis of the association signals showed clustering within gene sets implicated in the regulation of cell growth and SMAD proteins, overexpressed in the musculoskeletal system, and enriched in enhancer and promoter regions. These findings reveal TB-BMD as a relevant trait for genetic studies of osteoporosis, enabling the identification of variants and pathways influencing different bone compartments. Only variants in ESR1 and close proximity to RANKL showed a clear effect dependency on age. This most likely indicates that the majority of genetic variants identified influence BMD early in life and that their effect can be captured throughout the life course.
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24
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den Hollander W, Boer CG, Hart DJ, Yau MS, Ramos YFM, Metrustry S, Broer L, Deelen J, Cupples LA, Rivadeneira F, Kloppenburg M, Peters M, Spector TD, Hofman A, Slagboom PE, Nelissen RGHH, Uitterlinden AG, Felson DT, Valdes AM, Meulenbelt I, van Meurs JJB. Genome-wide association and functional studies identify a role for matrix Gla protein in osteoarthritis of the hand. Ann Rheum Dis 2017; 76:2046-2053. [PMID: 28855172 PMCID: PMC5788019 DOI: 10.1136/annrheumdis-2017-211214] [Citation(s) in RCA: 50] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2017] [Revised: 07/20/2017] [Accepted: 07/31/2017] [Indexed: 12/26/2022]
Abstract
OBJECTIVE Osteoarthritis (OA) is the most common form of arthritis and the leading cause of disability in the elderly. Of all the joints, genetic predisposition is strongest for OA of the hand; however, only few genetic risk loci for hand OA have been identified. Our aim was to identify novel genes associated with hand OA and examine the underlying mechanism. METHODS We performed a genome-wide association study of a quantitative measure of hand OA in 12 784 individuals (discovery: 8743, replication: 4011). Genome-wide significant signals were followed up by analysing gene and allele-specific expression in a RNA sequencing dataset (n=96) of human articular cartilage. RESULTS We found two significantly associated loci in the discovery set: at chr12 (p=3.5 × 10-10) near the matrix Gla protein (MGP) gene and at chr12 (p=6.1×10-9) near the CCDC91 gene. The DNA variant near the MGP gene was validated in three additional studies, which resulted in a highly significant association between the MGP variant and hand OA (rs4764133, Betameta=0.83, Pmeta=1.8*10-15). This variant is high linkage disequilibrium with a coding variant in MGP, a vitamin K-dependent inhibitor of cartilage calcification. Using RNA sequencing data from human primary cartilage tissue (n=96), we observed that the MGP RNA expression of the hand OA risk allele was significantly lowercompared with the MGP RNA expression of the reference allele (40.7%, p<5*10-16). CONCLUSIONS Our results indicate that the association between the MGP variant and increased risk for hand OA is caused by a lower expression of MGP, which may increase the burden of hand OA by decreased inhibition of cartilage calcification.
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Affiliation(s)
- Wouter den Hollander
- Department of Medical Statistics and Bioinformatics, Section Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Cindy G Boer
- Department of Internal Medicine, Genetic Laboratory, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Deborah J Hart
- Department of Twin Research and Genetic Epidemiology, King’s College London, London, UK
| | - Michelle S Yau
- Institute for Aging Research, Hebrew SeniorLife, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
- Clinical Epidemiology Research and Training Unit, Boston University School of Medicine, Boston, Massachusetts, USA
| | - Yolande F M Ramos
- Department of Medical Statistics and Bioinformatics, Section Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Sarah Metrustry
- Department of Twin Research and Genetic Epidemiology, King’s College London, London, UK
| | - Linda Broer
- Department of Internal Medicine, Genetic Laboratory, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Joris Deelen
- Department of Medical Statistics and Bioinformatics, Section Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
- Max Planck Institute for Biology of Ageing, Cologne, Germany
| | - L Adrienne Cupples
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Fernando Rivadeneira
- Department of Internal Medicine, Genetic Laboratory, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Margreet Kloppenburg
- Department of Rheumatology, Leiden University Medical Center, Leiden, The Netherlands
| | - Marjolein Peters
- Department of Internal Medicine, Genetic Laboratory, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Tim D Spector
- Department of Twin Research and Genetic Epidemiology, King’s College London, London, UK
| | - Albert Hofman
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - P Eline Slagboom
- Department of Medical Statistics and Bioinformatics, Section Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Rob G H H Nelissen
- Department of Orthopedics, Leiden University Medical Center, Leiden, The Netherlands
| | - André G Uitterlinden
- Department of Internal Medicine, Genetic Laboratory, Erasmus Medical Center, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - David T Felson
- Arthritis Research UK Epidemiology Unit, University of Manchester, Manchester, UK
| | - Ana M Valdes
- School of Medicine, University of Nottingham, Nottingham, UK
| | - Ingrid Meulenbelt
- Department of Medical Statistics and Bioinformatics, Section Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Joyce J B van Meurs
- Department of Internal Medicine, Genetic Laboratory, Erasmus Medical Center, Rotterdam, The Netherlands
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25
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Gourru-Lesimple G, Mathieu C, Thevenet T, Guillaume-Vasselin V, Jégou JF, Boer CG, Tomczak K, Bloyet LM, Giraud C, Grande S, Goujon C, Cornu C, Horvat B. Measles virus infection of human keratinocytes: Possible link between measles and atopic dermatitis. J Dermatol Sci 2017; 86:97-105. [PMID: 28233587 DOI: 10.1016/j.jdermsci.2017.01.015] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2016] [Revised: 12/21/2016] [Accepted: 01/10/2017] [Indexed: 01/15/2023]
Abstract
BACKGROUND Measles virus (MV) infection is marked with a skin rash in the acute phase of the disease, which pathogenesis remains poorly understood. Moreover, the association between measles and progression of skin diseases, such as atopic dermatitis (AD), is still elusive. OBJECTIVE We have thus analysed the susceptibility of human keratinocytes to MV infection and explore the potential relationship between MV vaccination and the pathogenesis the AD. METHODS We performed immunovirological characterisation of MV infection in human keratinocytes and then tested the effect of live attenuated measles vaccine on the progression of AD in adult patients, in a prospective, double-blind study. RESULTS We showed that both human primary keratinocytes and the keratinocyte cell line HaCaT express MV receptors and could be infected by MV. The infection significantly modulated the expression of several keratinocyte-produced cytokines, known to be implicated in the pathogenesis of inflammatory allergic diseases, including AD. We then analysed the relationship between exposure to MV by vaccination and the progression of AD in 20 adults during six weeks. We found a significant decrease in CCL26 and thymic stromal lymphopoietin (TSLP) mRNA in biopsies from acute lesions of vaccinated patients, suggesting MV-induced modulation of skin cytokine expression. Clinical analysis revealed a transient improvement of SCORAD index in vaccinated compared to placebo-treated patients, two weeks after vaccination. CONCLUSIONS Altogether, these results clearly demonstrate that keratinocytes are susceptible to MV infection, which could consequently modulate their cytokine production, resulting with a beneficial effect in the progression of AD. This study provides thus a proof of concept for the vaccination therapy in AD and may open new avenues for the development of novel strategies in the treatment of this allergic disease.
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Affiliation(s)
- Geraldine Gourru-Lesimple
- CIRI, International Centre for Infectiology Research (Immunobiology of Viral Infections team), Inserm, U1111, University Claude Bernard Lyon 1, CNRS, UMR5308, Ecole Normale Supérieure de Lyon, France
| | - Cyrille Mathieu
- CIRI, International Centre for Infectiology Research (Immunobiology of Viral Infections team), Inserm, U1111, University Claude Bernard Lyon 1, CNRS, UMR5308, Ecole Normale Supérieure de Lyon, France
| | - Thomas Thevenet
- CIRI, International Centre for Infectiology Research (Immunobiology of Viral Infections team), Inserm, U1111, University Claude Bernard Lyon 1, CNRS, UMR5308, Ecole Normale Supérieure de Lyon, France
| | - Vanessa Guillaume-Vasselin
- CIRI, International Centre for Infectiology Research (Immunobiology of Viral Infections team), Inserm, U1111, University Claude Bernard Lyon 1, CNRS, UMR5308, Ecole Normale Supérieure de Lyon, France
| | - Jean-François Jégou
- Laboratoire Inflammation Tissus Epithéliaux et Cytokines, Equipe Accueil 4331, Université de Poitiers, Poitiers, France
| | - Cindy G Boer
- CIRI, International Centre for Infectiology Research (Immunobiology of Viral Infections team), Inserm, U1111, University Claude Bernard Lyon 1, CNRS, UMR5308, Ecole Normale Supérieure de Lyon, France
| | - Katarzyna Tomczak
- CIRI, International Centre for Infectiology Research (Immunobiology of Viral Infections team), Inserm, U1111, University Claude Bernard Lyon 1, CNRS, UMR5308, Ecole Normale Supérieure de Lyon, France
| | - Louis-Marie Bloyet
- CIRI, International Centre for Infectiology Research (Immunobiology of Viral Infections team), Inserm, U1111, University Claude Bernard Lyon 1, CNRS, UMR5308, Ecole Normale Supérieure de Lyon, France
| | - Celine Giraud
- CHU de Lyon, Service de Pharmacologie Clinique, Service de Pharmacologie Clinique, INSERM CIC1407, Lyon, France
| | - Sophie Grande
- Departement of Clinical Immunology and Allergy, Centre Hospitalier Lyon-Sud, Lyon, France
| | - Catherine Goujon
- CHU de Lyon, Service de Pharmacologie Clinique, Service de Pharmacologie Clinique, INSERM CIC1407, Lyon, France; Departement of Clinical Immunology and Allergy, Centre Hospitalier Lyon-Sud, Lyon, France
| | - Catherine Cornu
- CHU de Lyon, Service de Pharmacologie Clinique, Service de Pharmacologie Clinique, INSERM CIC1407, Lyon, France
| | - Branka Horvat
- CIRI, International Centre for Infectiology Research (Immunobiology of Viral Infections team), Inserm, U1111, University Claude Bernard Lyon 1, CNRS, UMR5308, Ecole Normale Supérieure de Lyon, France.
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26
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Castaño-Betancourt MC, Evans DS, Ramos YFM, Boer CG, Metrustry S, Liu Y, den Hollander W, van Rooij J, Kraus VB, Yau MS, Mitchell BD, Muir K, Hofman A, Doherty M, Doherty S, Zhang W, Kraaij R, Rivadeneira F, Barrett-Connor E, Maciewicz RA, Arden N, Nelissen RGHH, Kloppenburg M, Jordan JM, Nevitt MC, Slagboom EP, Hart DJ, Lafeber F, Styrkarsdottir U, Zeggini E, Evangelou E, Spector TD, Uitterlinden AG, Lane NE, Meulenbelt I, Valdes AM, van Meurs JBJ. Novel Genetic Variants for Cartilage Thickness and Hip Osteoarthritis. PLoS Genet 2016; 12:e1006260. [PMID: 27701424 PMCID: PMC5049763 DOI: 10.1371/journal.pgen.1006260] [Citation(s) in RCA: 64] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2016] [Accepted: 07/26/2016] [Indexed: 12/31/2022] Open
Abstract
Osteoarthritis is one of the most frequent and disabling diseases of the elderly. Only few genetic variants have been identified for osteoarthritis, which is partly due to large phenotype heterogeneity. To reduce heterogeneity, we here examined cartilage thickness, one of the structural components of joint health. We conducted a genome-wide association study of minimal joint space width (mJSW), a proxy for cartilage thickness, in a discovery set of 13,013 participants from five different cohorts and replication in 8,227 individuals from seven independent cohorts. We identified five genome-wide significant (GWS, P≤5·0×10-8) SNPs annotated to four distinct loci. In addition, we found two additional loci that were significantly replicated, but results of combined meta-analysis fell just below the genome wide significance threshold. The four novel associated genetic loci were located in/near TGFA (rs2862851), PIK3R1 (rs10471753), SLBP/FGFR3 (rs2236995), and TREH/DDX6 (rs496547), while the other two (DOT1L and SUPT3H/RUNX2) were previously identified. A systematic prioritization for underlying causal genes was performed using diverse lines of evidence. Exome sequencing data (n = 2,050 individuals) indicated that there were no rare exonic variants that could explain the identified associations. In addition, TGFA, FGFR3 and PIK3R1 were differentially expressed in OA cartilage lesions versus non-lesioned cartilage in the same individuals. In conclusion, we identified four novel loci (TGFA, PIK3R1, FGFR3 and TREH) and confirmed two loci known to be associated with cartilage thickness.The identified associations were not caused by rare exonic variants. This is the first report linking TGFA to human OA, which may serve as a new target for future therapies.
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Affiliation(s)
| | - Dan S. Evans
- California Pacific Medical Center Research Institute, San Francisco, California, United States of America
| | - Yolande F. M. Ramos
- Department of Medical Statistics and Bioinformatics, Section Molecular Epidemiology. Leiden University Medical Center, Leiden, The Netherlands
| | - Cindy G. Boer
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Sarah Metrustry
- Department of Twins Research and Genetic Epidemiology Unit, King’s College London, London, United Kingdom
| | - Youfang Liu
- Thurston Arthritis Research Center, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Wouter den Hollander
- Department of Medical Statistics and Bioinformatics, Section Molecular Epidemiology. Leiden University Medical Center, Leiden, The Netherlands
| | - Jeroen van Rooij
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Virginia B. Kraus
- Duke Molecular Physiology Institute and Division of Rheumatology. Duke University School of Medicine, Durham, North Carolina, United States of America
| | - Michelle S. Yau
- Departments of Medicine and Epidemiology & Public Health, University of Maryland School of Medicine, Baltimore, Maryland, United States of America
| | - Braxton D. Mitchell
- Departments of Medicine and Epidemiology & Public Health, University of Maryland School of Medicine, Baltimore, Maryland, United States of America
- Geriatrics Research and Education Clinical Center, Baltimore Veterans Administration Medical Center, Baltimore, Maryland, United States of America
| | - Kenneth Muir
- Health Sciences Research Institute, University of Warwick, Warwick, United Kingdom
| | - Albert Hofman
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
- Department of Epidemiology, Harvard T.H. School of Public Health, Boston, Massachusetts, United States of America
| | - Michael Doherty
- School of Medicine, University of Nottingham, Nottingham, United Kingdom
| | - Sally Doherty
- School of Medicine, University of Nottingham, Nottingham, United Kingdom
| | - Weiya Zhang
- School of Medicine, University of Nottingham, Nottingham, United Kingdom
| | - Robert Kraaij
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Fernando Rivadeneira
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Elizabeth Barrett-Connor
- Epidemiology Division, Family Medicine and Public Health Department, University of California, San Diego, La Jolla, California
| | - Rose A. Maciewicz
- Respiratory, Inflammation, Autoimmunity Innovative Medicines, AstraZeneca AB, Mölndal, Sweden
| | - Nigel Arden
- Nuffield Department of Orthopaedics, Rheumatology and musculoskeletal sciences, University of Oxford, United Kingdom
| | - Rob G. H. H. Nelissen
- Department of Orthopaedics, Leiden University Medical Center, Leiden The Netherlands
| | - Margreet Kloppenburg
- Department of Rheumatology and Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Joanne M. Jordan
- Thurston Arthritis Research Center, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Michael C. Nevitt
- University of California at San Francisco, San Francisco, California
| | - Eline P. Slagboom
- Department of Medical Statistics and Bioinformatics, Section Molecular Epidemiology. Leiden University Medical Center, Leiden, The Netherlands
| | - Deborah J. Hart
- Department of Twins Research and Genetic Epidemiology Unit, King’s College London, London, United Kingdom
| | - Floris Lafeber
- University Medical Center Utrecht, Utrecht, The Netherlands
| | | | | | - Evangelos Evangelou
- Department of Hygiene & Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Tim D. Spector
- Department of Twins Research and Genetic Epidemiology Unit, King’s College London, London, United Kingdom
| | - Andre G. Uitterlinden
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Nancy E. Lane
- University of California at San Francisco, San Francisco, California
- School of Medicine, University of California, Davis, Sacramento, California
| | - Ingrid Meulenbelt
- Department of Medical Statistics and Bioinformatics, Section Molecular Epidemiology. Leiden University Medical Center, Leiden, The Netherlands
| | - Ana M. Valdes
- School of Medicine, University of Nottingham, Nottingham, United Kingdom
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