1
|
Mukherjee A, Nongthomba U. To RNA-binding and beyond: Emerging facets of the role of Rbfox proteins in development and disease. Wiley Interdiscip Rev RNA 2023:e1813. [PMID: 37661850 DOI: 10.1002/wrna.1813] [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] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Revised: 07/23/2023] [Accepted: 07/25/2023] [Indexed: 09/05/2023]
Abstract
The RNA-binding Fox-1 homologue (Rbfox) proteins represent an ancient family of splicing factors, conserved through evolution. All members share an RNA recognition motif (RRM), and a particular affinity for the GCAUG signature in target RNA molecules. The role of Rbfox, as a splice factor, deciding the tissue-specific inclusion/exclusion of an exon, depending on its binding position on the flanking introns, is well known. Rbfox often acts in concert with other splicing factors, and forms splicing regulatory networks. Apart from this canonical role, recent studies show that Rbfox can also function as a transcription co-factor, and affects mRNA stability and translation. The repertoire of Rbfox targets is vast, including genes involved in the development of tissue lineages, such as neurogenesis, myogenesis, and erythropoeiesis, and molecular processes, including cytoskeletal dynamics, and calcium handling. A second layer of complexity is added by the fact that Rbfox expression itself is regulated by multiple mechanisms, and, in vertebrates, exhibits tissue-specific expression. The optimum dosage of Rbfox is critical, and its misexpression is etiological to various disease conditions. In this review, we discuss the contextual roles played by Rbfox as a tissue-specific regulator for the expression of many important genes with diverse functions, through the lens of the emerging data which highlights its involvement in many human diseases. Furthermore, we explore the mechanistic details provided by studies in model organisms, with emphasis on the work with Drosophila. This article is categorized under: RNA Processing > Splicing Mechanisms RNA Interactions with Proteins and Other Molecules > Protein-RNA Interactions: Functional Implications RNA Turnover and Surveillance > Regulation of RNA Stability RNA Processing > Splicing Regulation/Alternative Splicing.
Collapse
Affiliation(s)
- Amartya Mukherjee
- Department of Developmental Biology and Genetics, Indian Institute of Science, Bangalore, India
| | - Upendra Nongthomba
- Department of Developmental Biology and Genetics, Indian Institute of Science, Bangalore, India
| |
Collapse
|
2
|
Khosasih V, Liu KM, Huang CM, Liou LB, Hsieh MS, Lee CH, Tsai CY, Kuo SY, Hwa SY, Yu CL, Chang CH, Lin CJ, Hsieh SC, Cheng CY, Chen WM, Chen LK, Chuang HP, Chen YT, Tsai PC, Lu LS, H’ng WS, Zhang Y, Chen HC, Chen CH, Lee MTM, Wu JY. A Functional Polymorphism Downstream of Vitamin A Regulator Gene CYP26B1 Is Associated with Hand Osteoarthritis. Int J Mol Sci 2023; 24:ijms24033021. [PMID: 36769350 PMCID: PMC9918232 DOI: 10.3390/ijms24033021] [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] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2022] [Revised: 01/30/2023] [Accepted: 01/31/2023] [Indexed: 02/09/2023] Open
Abstract
While genetic analyses have revealed ~100 risk loci associated with osteoarthritis (OA), only eight have been linked to hand OA. Besides, these studies were performed in predominantly European and Caucasian ancestries. Here, we conducted a genome-wide association study in the Han Chinese population to identify genetic variations associated with the disease. We recruited a total of 1136 individuals (n = 420 hand OA-affected; n = 716 unaffected control subjects) of Han Chinese ancestry. We carried out genotyping using Axiom Asia Precisi on Medicine Research Array, and we employed the RegulomeDB database and RoadMap DNase I Hypersensitivity Sites annotations to further narrow down our potential candidate variants. Genetic variants identified were tested in the Geisinger's hand OA cohort selected from the Geisinger MyCode community health initiative (MyCode®). We also performed a luciferase reporter assay to confirm the potential impact of top candidate single-nucleotide polymorphisms (SNPs) on hand OA. We identified six associated SNPs (p-value = 6.76 × 10-7-7.31 × 10-6) clustered at 2p13.2 downstream of the CYP26B1 gene. The strongest association signal identified was rs883313 (p-value = 6.76 × 10-7, odds ratio (OR) = 1.76), followed by rs12713768 (p-value = 1.36 × 10-6, OR = 1.74), near or within the enhancer region closest to the CYP26B1 gene. Our findings showed that the major risk-conferring CC haplotype of SNPs rs12713768 and rs10208040 [strong linkage disequilibrium (LD); D' = 1, r2 = 0.651] drives 18.9% of enhancer expression activity. Our findings highlight that the SNP rs12713768 is associated with susceptibility to and severity of hand OA in the Han Chinese population and that the suggested retinoic acid signaling pathway may play an important role in its pathogenesis.
Collapse
Affiliation(s)
- Vivia Khosasih
- Taiwan International Graduate Program in Molecular Medicine, National Yang Ming Chiao Tung University and Academia Sinica, Taipei 115, Taiwan
- National Center for Genome Medicine, Institute of Biomedical Sciences, Academia Sinica, Taipei 115, Taiwan
| | - Kai-Ming Liu
- National Center for Genome Medicine, Institute of Biomedical Sciences, Academia Sinica, Taipei 115, Taiwan
| | - Chung-Ming Huang
- Division of Immunology and Rheumatology, Department of Internal Medicine, China Medical University Hospital, Taichung 404, Taiwan
- Graduate Institute of Integrated Medicine, College of Chinese Medicine, China Medical University, Taichung 404, Taiwan
- Correspondence: (C.-M.H.); (J.-Y.W.)
| | - Lieh-Bang Liou
- Division of Rheumatology, Allergy and Immunology, New Taipei Municipal Tucheng Hospital, New Taipei City 236, Taiwan
- College of Medicine, Chang Gung University, Taoyuan 333, Taiwan
| | - Ming-Shium Hsieh
- Department of Orthopedics, School of Medicine, College of Medicine, Taipei Medical University, Taipei 110, Taiwan
- Department of Orthopedics, Taipei Medical University Hospital, Taipei 110, Taiwan
- Department of Orthopedics, En Chu Kong Hospital, New Taipei 237, Taiwan
| | - Chian-Her Lee
- Department of Orthopedics, School of Medicine, College of Medicine, Taipei Medical University, Taipei 110, Taiwan
- Department of Orthopedics, Taipei Medical University Hospital, Taipei 110, Taiwan
| | - Chang-Youh Tsai
- School of Medicine, National Yang Ming Chiao Tung University, Taipei 112, Taiwan
- Division of Allergy, Immunology and Rheumatology, Department of Medicine, Taipei Veterans General Hospital, Taipei 112, Taiwan
| | - San-Yuan Kuo
- Division of Rheumatology, Immunology and Allergy, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei 114, Taiwan
| | - Su-Yang Hwa
- Department of Orthopaedics, Tri-Service General Hospital, National Defense Medical Center, Taipei 114, Taiwan
| | - Chia-Li Yu
- Department of Internal Medicine, National Taiwan University Hospital, Taipei 100, Taiwan
- Institute of Molecular Medicine, College of Medicine, National Taiwan University, Taipei 100, Taiwan
| | - Chih-Hao Chang
- Department of Orthopedics, College of Medicine, National Taiwan University and National Taiwan University Hospital, Taipei 100, Taiwan
- Department of Orthopedics, National Taiwan University Hospital Jin-Shan Branch, New Taipei City 208, Taiwan
| | - Cheng-Jyh Lin
- Department of Orthopedics, China Medical University Hospital, Taichung 404, Taiwan
| | - Song-Chou Hsieh
- Division of Allergy, Immunology, and Rheumatology, Department of Internal Medicine, National Taiwan University Hospital, Taipei 100, Taiwan
| | - Chun-Ying Cheng
- College of Medicine, Chang Gung University, Taoyuan 333, Taiwan
- Department of Orthopedic, Chang Gung Memorial Hospital, Linkou, Taoyuan 333, Taiwan
| | - Wei-Ming Chen
- School of Medicine, National Yang Ming Chiao Tung University, Taipei 112, Taiwan
- Department of Orthopaedics and Traumatology, Taipei Veteran General Hospital, Taipei 112, Taiwan
| | - Liang-Kuang Chen
- Department of Diagnostic Radiology, Shin Kong Wu Ho-Su Memorial Hospital, Taipei 111, Taiwan
| | - Hui-Ping Chuang
- National Center for Genome Medicine, Institute of Biomedical Sciences, Academia Sinica, Taipei 115, Taiwan
| | - Ying-Ting Chen
- National Center for Genome Medicine, Institute of Biomedical Sciences, Academia Sinica, Taipei 115, Taiwan
| | - Pei-Chun Tsai
- National Center for Genome Medicine, Institute of Biomedical Sciences, Academia Sinica, Taipei 115, Taiwan
| | - Liang-Suei Lu
- National Center for Genome Medicine, Institute of Biomedical Sciences, Academia Sinica, Taipei 115, Taiwan
| | - Weng-Siong H’ng
- National Center for Genome Medicine, Institute of Biomedical Sciences, Academia Sinica, Taipei 115, Taiwan
| | - Yanfei Zhang
- Genomic Medicine Institute, Geisinger, Danville, PA 17822, USA
| | - Hsiang-Cheng Chen
- Division of Rheumatology, Immunology and Allergy, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei 114, Taiwan
| | - Chien-Hsiun Chen
- National Center for Genome Medicine, Institute of Biomedical Sciences, Academia Sinica, Taipei 115, Taiwan
- School of Chinese Medicine, China Medical University, Taichung 404, Taiwan
| | - Ming Ta Michael Lee
- Genomic Medicine Institute, Geisinger, Danville, PA 17822, USA
- School of Chinese Medicine, China Medical University, Taichung 404, Taiwan
| | - Jer-Yuarn Wu
- Taiwan International Graduate Program in Molecular Medicine, National Yang Ming Chiao Tung University and Academia Sinica, Taipei 115, Taiwan
- National Center for Genome Medicine, Institute of Biomedical Sciences, Academia Sinica, Taipei 115, Taiwan
- School of Chinese Medicine, China Medical University, Taichung 404, Taiwan
- Correspondence: (C.-M.H.); (J.-Y.W.)
| |
Collapse
|
3
|
Favero M, Belluzzi E, Ortolan A, Lorenzin M, Oliviero F, Doria A, Scanzello CR, Ramonda R. Erosive hand osteoarthritis: latest findings and outlook. Nat Rev Rheumatol 2022. [PMID: 35105980 DOI: 10.1038/s41584-021-00747-3] [Citation(s) in RCA: 30] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/23/2021] [Indexed: 12/28/2022]
Abstract
Osteoarthritis (OA) most commonly affects knee joints, and the next most commonly affected sites are the hands and hips. Three distinct hand OA phenotypes have been described: erosive hand OA (EHOA), nodal hand OA - also known as non-erosive hand OA (non-EHOA) - and first carpometacarpal joint OA. EHOA predominantly affects women and is the most aggressive form of hand OA, characterized by a severe clinical onset and progression, leading to joint damage, disability and reduction of quality of life. Clinical signs of inflammation associated with EHOA include the acute onset of pain, swelling and redness. Moreover, EHOA is characterized by radiographic features such as central erosion, saw-tooth and gull-wing lesions and, rarely, ankylosis. The aim of this Review is to report the latest findings on epidemiology, clinical features, pathology and aetiopathogenesis, biomarkers, imaging modalities and treatments for EHOA. The ongoing development of new hand OA classification criteria should facilitate standardization between studies.
Collapse
|
4
|
Kazmers NH, Meeks HD, Novak KA, Yu Z, Fulde GL, Thomas JL, Barker T, Jurynec MJ. Familial Clustering of Erosive Hand Osteoarthritis in a Large Statewide Cohort. Arthritis Rheumatol 2021; 73:440-447. [PMID: 32940959 PMCID: PMC7914133 DOI: 10.1002/art.41520] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [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: 04/23/2020] [Accepted: 09/04/2020] [Indexed: 12/25/2022]
Abstract
OBJECTIVE Erosive hand osteoarthritis (OA) is a severe and rapidly progressing subset of hand OA. Its etiology remains largely unknown, which has hindered development of successful treatments. This study was undertaken to test the hypothesis that erosive hand OA demonstrates familial clustering in a large statewide population linked to genealogical records, and to determine the association of potential risk factors with erosive hand OA. METHODS Patients diagnosed as having erosive hand OA were identified by searching 4,741,840 unique medical records from a comprehensive statewide database, the Utah Population Database (UPDB). Affected individuals were mapped to pedigrees to identify high-risk families with excess clustering of erosive hand OA as defined by a familial standardized incidence ratio (FSIR) of ≥2.0. The magnitude of familial risk of erosive hand OA in related individuals was calculated using Cox regression models. Association of potential erosive hand OA risk factors was analyzed using multivariate conditional logistic regression and logistic regression models. RESULTS We identified 703 affected individuals linked to 240 unrelated high-risk pedigrees with excess clustering of erosive hand OA (FSIR ≥2.0, P < 0.05). The relative risk of developing erosive hand OA was significantly elevated in first-degree relatives (P < 0.001). There were significant associations between a diagnosis of erosive hand OA and age, sex, diabetes, and obesity (all P < 0.05). CONCLUSION Familial clustering of erosive hand OA observed in a statewide database indicates a potential genetic contribution to the etiology of the disease. Age, sex, diabetes, and obesity are risk factors for erosive hand OA. Identification of causal gene variants in these high-risk families may provide insight into the genes and pathways that contribute to erosive hand OA onset and progression.
Collapse
Affiliation(s)
- Nikolas H. Kazmers
- Department of Orthopaedics, University of Utah, Salt Lake City, UT 84108
| | - Huong D. Meeks
- Population Science, Huntsman Cancer Institute, University of Utah Health, Salt Lake City, UT 84112
| | - Kendra A. Novak
- Department of Orthopaedics, University of Utah, Salt Lake City, UT 84108
| | - Zhe Yu
- Population Science, Huntsman Cancer Institute, University of Utah Health, Salt Lake City, UT 84112
| | - Gail L. Fulde
- Intermountain Healthcare, Precision Genomics, St. George, UT 84790
| | - Joy L. Thomas
- Intermountain Healthcare, Precision Genomics, St. George, UT 84790
| | - Tyler Barker
- Intermountain Healthcare, Precision Genomics, Murray, UT 84107
- Department of Nutrition and Integrative Physiology, University of Utah, Salt Lake City, UT 84112
| | - Michael J. Jurynec
- Department of Orthopaedics, University of Utah, Salt Lake City, UT 84108
| |
Collapse
|
5
|
Richard D, Liu Z, Cao J, Kiapour AM, Willen J, Yarlagadda S, Jagoda E, Kolachalama VB, Sieker JT, Chang GH, Muthuirulan P, Young M, Masson A, Konrad J, Hosseinzadeh S, Maridas DE, Rosen V, Krawetz R, Roach N, Capellini TD. Evolutionary Selection and Constraint on Human Knee Chondrocyte Regulation Impacts Osteoarthritis Risk. Cell 2020; 181:362-381.e28. [PMID: 32220312 PMCID: PMC7179902 DOI: 10.1016/j.cell.2020.02.057] [Citation(s) in RCA: 56] [Impact Index Per Article: 14.0] [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: 07/10/2019] [Revised: 12/10/2019] [Accepted: 02/26/2020] [Indexed: 02/06/2023]
Abstract
During human evolution, the knee adapted to the biomechanical demands of bipedalism by altering chondrocyte developmental programs. This adaptive process was likely not without deleterious consequences to health. Today, osteoarthritis occurs in 250 million people, with risk variants enriched in non-coding sequences near chondrocyte genes, loci that likely became optimized during knee evolution. We explore this relationship by epigenetically profiling joint chondrocytes, revealing ancient selection and recent constraint and drift on knee regulatory elements, which also overlap osteoarthritis variants that contribute to disease heritability by tending to modify constrained functional sequence. We propose a model whereby genetic violations to regulatory constraint, tolerated during knee development, lead to adult pathology. In support, we discover a causal enhancer variant (rs6060369) present in billions of people at a risk locus (GDF5-UQCC1), showing how it impacts mouse knee-shape and osteoarthritis. Overall, our methods link an evolutionarily novel aspect of human anatomy to its pathogenesis.
Collapse
Affiliation(s)
- Daniel Richard
- Human Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA
| | - Zun Liu
- Human Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA
| | - Jiaxue Cao
- Human Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA; Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China
| | - Ata M Kiapour
- Orthopaedic Surgery, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Jessica Willen
- Human Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA
| | | | - Evelyn Jagoda
- Human Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA
| | - Vijaya B Kolachalama
- Department of Medicine, Boston University School of Medicine, Boston, MA 02115, USA; Whitaker Cardiovascular Institute, Boston University School of Medicine, Boston, MA 02115, USA; Hariri Institute for Computing and Computational Science and Engineering, Boston University, Boston, MA 02115, USA
| | - Jakob T Sieker
- Orthopaedic Surgery, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA; Pathology and Laboratory Medicine, Tufts Medical Center, Boston, MA 02111, USA
| | - Gary H Chang
- Department of Medicine, Boston University School of Medicine, Boston, MA 02115, USA
| | | | - Mariel Young
- Human Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA
| | - Anand Masson
- McCaig Institute for Bone and Joint Health, University of Calgary, Calgary, AB T2N 1N4, Canada
| | - Johannes Konrad
- Orthopaedic Surgery, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Shayan Hosseinzadeh
- Orthopaedic Surgery, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - David E Maridas
- Developmental Biology, Harvard School of Dental Medicine, Boston, MA 02115, USA
| | - Vicki Rosen
- Developmental Biology, Harvard School of Dental Medicine, Boston, MA 02115, USA
| | - Roman Krawetz
- McCaig Institute for Bone and Joint Health, University of Calgary, Calgary, AB T2N 1N4, Canada
| | - Neil Roach
- Human Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA
| | - Terence D Capellini
- Human Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
| |
Collapse
|
6
|
Nakagawa Y, Kurimoto S, Maheu E, Matsui Y, Kanno Y, Menuki K, Hayashi M, Nemoto T, Nishizuka T, Tatebe M, Yamamoto M, Iwatsuki K, Dreiser RL, Hirata H. Cross-cultural translation, adaptation and validation of a Japanese version of the functional index for hand osteoarthritis (J-FIHOA). BMC Musculoskelet Disord 2020; 21:173. [PMID: 32178665 PMCID: PMC7333425 DOI: 10.1186/s12891-020-03193-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/25/2019] [Accepted: 03/09/2020] [Indexed: 11/22/2022] Open
Abstract
Background Hand osteoarthritis (OA) has a wide spectrum of clinical presentations and physical function is one of the core domains where patients suffer. The Functional Index for Hand Osteoarthritis (FIHOA) is a leading assessment tool for hand OA-related functional impairment. Our objective was to make a Japanese version of FIHOA (J-FIHOA) and validate it among Japanese hand OA patients. Methods Forward and backward translation processes were completed to create a culturally adapted J-FIHOA. A prospective, observational multicenter study was undertaken for the validation process. Seventeen collaborating hospitals recruited Japanese hand OA patients who met the American College of Rheumatology criteria. A medical record review and responses to the following patient-rated questionnaires were collected: J-FIHOA, Hand20, Health Assessment Questionnaire (HAQ), numerical rating scale for pain (NRS pain) and Short Form 36 Health Survey (SF-36). We explored the structure of J-FIHOA using factor analysis. Cronbach’s alpha coefficients and item-total correlations were calculated. Correlations between J-FIHOA and other questionnaires were evaluated for construct validity. Participants in clinically stable conditions repeated J-FIHOA at a one- to two-week interval to assess test-retest reliability. To evaluate responsiveness, symptomatic patients who started new pharmacological treatments had a 1-month follow-up visit and completed the questionnaires twice. Effect size (ES) and standardized response mean (SRM) were calculated with pre- and post-treatment data sets. We assessed responsiveness, comparing ES and SRM of J-FIHOA with other questionnaires (construct approach). Results A total of 210 patients participated. J-FIHOA had unidimensional structure. Cronbach’s alphas (0.914 among females and 0.929 among males) and item-total correlations (range, 0.508 to 0.881) revealed high internal consistency. Hand20, which measures upper extremity disability, was strongly correlated with J-FIHOA (r = 0.82) while the mental and role-social components of SF-36 showed no correlations (r = − 0.24 and − 0.26, respectively). Intraclass correlation coefficient for test-retest reliability was 0.83 and satisfactory. J-FIHOA showed the highest ES and SRM (− 0.68 and − 0.62, respectively) among all questionnaires, except for NRS pain. Conclusions Our results showed J-FIHOA had good measurement properties to assess physical function in Japanese hand OA patients both for ambulatory follow-up in clinical practice, and clinical research and therapeutic trials.
Collapse
Affiliation(s)
- Yasunobu Nakagawa
- Department of Hand Surgery, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan.
| | - Shigeru Kurimoto
- Department of Hand Surgery, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan
| | - Emmanuel Maheu
- Department of Rheumatology, AP-HP, Hospital Saint-Antoine, Paris, France
| | - Yuichiro Matsui
- Department of Orthopaedic Surgery, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan
| | - Yuri Kanno
- Hand Surgery and Microsurgery Center, Yotsuya Medical Cube, Tokyo, Japan
| | - Kunitaka Menuki
- Department of Orthopaedic Surgery, School of Medicine, University of Occupational and Environmental Health, Kitakyushu, Japan
| | - Masanori Hayashi
- Department of Orthopaedic Surgery, Shinshu University School of Medicine, Matsumoto, Japan
| | - Tetsuya Nemoto
- Department of Orthopaedic Surgery, Showa University School of Medicine, Tokyo, Japan
| | | | - Masahiro Tatebe
- Department of Hand Surgery, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan
| | - Michiro Yamamoto
- Department of Hand Surgery, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan
| | - Katsuyuki Iwatsuki
- Department of Hand Surgery, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan
| | | | - Hitoshi Hirata
- Department of Hand Surgery, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan
| |
Collapse
|
7
|
Castro-Viñuelas R, Sanjurjo-Rodríguez C, Piñeiro-Ramil M, Hermida-Gómez T, Rodríguez-Fernández S, Oreiro N, de Toro J, Fuentes I, Blanco FJ, Díaz-Prado S. Generation and characterization of human induced pluripotent stem cells (iPSCs) from hand osteoarthritis patient-derived fibroblasts. Sci Rep 2020; 10:4272. [PMID: 32144293 DOI: 10.1038/s41598-020-61071-6] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2019] [Accepted: 02/17/2020] [Indexed: 12/21/2022] Open
Abstract
Knowledge and research results about hand osteoarthritis (hOA) are limited due to the lack of samples and animal models of the disease. Here, we report the generation of two induced pluripotent stem cell (iPSC)-lines from patients with radiographic hOA. Furthermore, we wondered whether these iPSC-lines carried single nucleotide polymorphisms (SNPs) within genes that have been associated with hOA. Finally, we performed chondrogenic differentiation of the iPSCs in order to prove their usefulness as cellular models of the disease. We performed a non-integrative reprogramming of dermal fibroblasts obtained from two patients with radiographic rhizarthrosis and non-erosive hOA by introducing the transcriptional factors Oct4, Sox2, Klf4 and c-Myc using Sendai virus. After reprogramming, embryonic stem cell-like colonies emerged in culture, which fulfilled all the criteria to be considered iPSCs. Both iPSC-lines carried variants associated with hOA in the four studied genes and showed differences in their chondrogenic capacity when compared with a healthy control iPSC-line. To our knowledge this is the first time that the generation of iPSC-lines from patients with rhizarthrosis and non-erosive hOA is reported. The obtained iPSC-lines might enable us to model the disease in vitro, and to deeper study both the molecular and cellular mechanisms underlying hOA.
Collapse
|
8
|
Marshall M, Watt FE, Vincent TL, Dziedzic K. Hand osteoarthritis: clinical phenotypes, molecular mechanisms and disease management. Nat Rev Rheumatol 2018; 14:641-56. [PMID: 30305701 DOI: 10.1038/s41584-018-0095-4] [Citation(s) in RCA: 98] [Impact Index Per Article: 19.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
Osteoarthritis (OA) is a highly prevalent condition, and the hand is the most commonly affected site. Patients with hand OA frequently report symptoms of pain, functional limitations and frustration in undertaking everyday activities. The condition presents clinically with changes to the bone, ligaments, cartilage and synovial tissue, which can be observed using radiography, ultrasonography or MRI. Hand OA is a heterogeneous disorder and is considered to be multifactorial in aetiology. This Review provides an overview of the epidemiology, presentation and burden of hand OA, including an update on hand OA imaging (including the development of novel techniques), disease mechanisms and management. In particular, areas for which new evidence has substantially changed the way we understand, consider and treat hand OA are highlighted. For example, genetic studies, clinical trials and careful prospective imaging studies from the past 5 years are beginning to provide insights into the pathogenesis of hand OA that might uncover new therapeutic targets in the disease.
Collapse
|
9
|
Gossmann A, Cao S, Brzyski D, Zhao LJ, Deng HW, Wang YP. A Sparse Regression Method for Group-Wise Feature Selection with False Discovery Rate Control. IEEE/ACM Trans Comput Biol Bioinform 2018; 15:1066-1078. [PMID: 29990279 PMCID: PMC6326365 DOI: 10.1109/tcbb.2017.2780106] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
The method of Sorted L-One Penalized Estimation, or SLOPE, is a sparse regression method recently introduced by Bogdan et. al. [1] . It can be used to identify significant predictor variables in a linear model that may have more unknown parameters than observations. When the correlations between predictor variables are small, the SLOPE method is shown to successfully control the false discovery rate (the expected proportion of the irrelevant among all selected predictors) at a user specified level. However, the requirement for nearly uncorrelated predictors is too restrictive for genomic data, as demonstrated in our recent study [2] by an application of SLOPE to realistic simulated DNA sequence data. A possible solution is to divide the predictor variables into nearly uncorrelated groups, and to modify the procedure to select entire groups with an overall significant group effect, rather than individual predictors. Following this motivation, we extend SLOPE in the spirit of Group LASSO to Group SLOPE, a method that can handle group structures between the predictor variables, which are ubiquitous in real genomic data. Our theoretical results show that Group SLOPE controls the group-wise false discovery rate (gFDR), when groups are orthogonal to each other. For use in non-orthogonal settings, we propose two types of Monte Carlo based heuristics, which lead to gFDR control with Group SLOPE in simulations based on real SNP data. As an illustration of the merits of this method, an application of Group SLOPE to a dataset from the Framingham Heart Study results in the identification of some known DNA sequence regions associated with bone health, as well as some new candidate regions. The novel methods are implemented in the R package grpSLOPEMC , which is publicly available at https://github.com/agisga/grpSLOPEMC.
Collapse
|
10
|
Li H, Zhang X, Cao Y, Hu S, Peng F, Zhou J, Li J. Association between EN1 rs4144782 and susceptibility of knee osteoarthritis: A case-control study. Oncotarget 2018; 8:36650-36657. [PMID: 28430581 PMCID: PMC5482684 DOI: 10.18632/oncotarget.16842] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2016] [Accepted: 03/10/2017] [Indexed: 11/25/2022] Open
Abstract
Osteoarthritis (OA) is a complex disease that affects the whole joint, resulting from the combined influence of biomechanical factors and genetic factors. The heritable component for primary OA accounts for about 60% of variation in population liability to the disease. So far, genome-wide association studies (GWAS) and candidate gene studies have established many OA-related loci. However, these findings account for only a rather small fraction of the genetic component. To further reveal the genetic architecture of OA, we conducted this case-control study to explore the association of locus EN1 rs4144782 and knee OA susceptibility in a Chinese population. EN1 rs4144782 was significantly associated with increased risk of knee OA (OR=1.26; 95% CI: 1.05-1.50, P value=0.012). In dominant model, compared with carriers of GG genotype, those with AG or AA genotype have an 1.44-fold increased risk of OA (OR: 1.44; 95% CI: 1.10-1.88; P value=0.008). Subgroup analyses didn't change the results materially. This should be the first association study of EN1 locus on risk of OA, and our finding suggested that the EN1 rs4144782 might contribute to the susceptibility of knee OA.
Collapse
Affiliation(s)
- Haohuan Li
- Department of Orthopedics, Renmin Hospital of Wuhan University, Wuhan, 430060, China
| | - Xiaolong Zhang
- Department of Orthopedics, Renmin Hospital of Wuhan University, Wuhan, 430060, China
| | - Yiping Cao
- Key Laboratory of Optoelectronic Chemical Materials and Devices, Ministry of Education, Jianghan University, Wuhan, 430056, China
| | - Song Hu
- Department of Physiology, Jianghan University, Wuhan Medical College, Wuhan, 430056, China
| | - Fei Peng
- Department of Orthopedics, Renmin Hospital of Wuhan University, Wuhan, 430060, China
| | - Jianlin Zhou
- Department of Orthopedics, Renmin Hospital of Wuhan University, Wuhan, 430060, China
| | - Jianping Li
- Department of Orthopedics, Renmin Hospital of Wuhan University, Wuhan, 430060, China
| |
Collapse
|
11
|
Kim HA, Heo SG, Park JW, Jung YO. Novel Genetic Variants Associated with Lumbar Spondylosis in Koreans : A Genome-Wide Association Study. J Korean Neurosurg Soc 2017; 61:66-74. [PMID: 29354237 PMCID: PMC5769851 DOI: 10.3340/jkns.2016.0910.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2016] [Revised: 02/15/2017] [Accepted: 03/17/2017] [Indexed: 12/22/2022] Open
Abstract
Objective The aim of this study was to identify the susceptibility genes responsible for lumbar spondylosis (LS) in Korean patients. Methods Data from 1427 subjects were made available for radiographic grading and genome wide association studies (GWAS) analysis. Lateral lumbar spine radiographs were obtained and the various degrees of degenerative change were semi-quantitatively scored. A pilot GWAS was performed using the AffymetrixGenome-Wide Human single-nucleotide polymorphisms (SNPs), 500K array. A total of 352228 SNPs were analyzed and the association between the SNPs and case-control status was analyzed by stepwise logistic regression analyses. Results The top 100 SNPs with a cutoff p-value of less than 3.7×10-4 were selected for joint space narrowing, while a cutoff p-value of 6.0×10-4 was applied to osteophytes and the Kellgren-Lawrence (K-L) osteoarthritis grade. The SNPs with the strongest effect on disc space narrowing, osteophytes, and K-L grade were serine incorporator 1 (rs155467, odds ratio [OR]=17.58, p=1.6×10-4), stromal interaction molecule 2 (STIM1, rs210781, OR=5.53, p=5×10-4), and transient receptor potential cation channel, subfamily C (rs11224760, OR=3.99, p=4.8×10-4), respectively. Leucine-rich repeat-containing G protein-coupled receptor 4 was significantly associated with both disc space narrowing and osteophytes (rs1979400, OR=2.01, p=1.1×10-4 for disc space narrowing, OR=1.79, p=3×10-4 for osteophytes), while zinc finger and BTB domain containing 7C was significantly and negatively associated with both osteophytes and a K-L grade >2 (rs12457004,OR=0.25, p=5.8×10-4 and OR=0.27, p=5.3×10-4, respectively). Conclusion We identified SNPs that potentially contribute to the pathogenesis of LS. This is the first report of a GWAS in an Asian population.
Collapse
Affiliation(s)
- Hyun Ah Kim
- Division of Rheumatology, Hallym University Sacred Heart Hospital, Anyang, Korea
| | - Seong Gu Heo
- Department of Medical Genetics, Hallym University College of Medicine, Chuncheon, Korea
| | - Ji Wan Park
- Department of Medical Genetics, Hallym University College of Medicine, Chuncheon, Korea
| | - Young Ok Jung
- Division of Rheumatology, Gangnam Sacred Heart Hospital, Seoul, Korea
| |
Collapse
|
12
|
Khusainova RI, Tyurin AV, Shapovalova DA, Khusnutdinova EK. Search for osteoarthritis genetic markers in women with undifferentiated connective tissue dysplasia. RUSS J GENET+ 2017. [DOI: 10.1134/s1022795417060072] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
|
13
|
Tai Z, Huang L, Lu F, Shi Y, Ma S, Cheng J, Lin H, Liu X, Li Y, Yang Z. Association study of candidate genes for susceptibility to Kashin-Beck disease in a Tibetan population. BMC Med Genet 2017. [PMID: 28651521 PMCID: PMC5485673 DOI: 10.1186/s12881-017-0423-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Background Many osteoarthritis (OA) susceptibility genes have been identified in recent years. Given the overlap in the phenotype of joint inflammation between OA and Kashin-Beck disease (KBD), the aim of this study is to explore whether the reported OA susceptibility genes and two genes that may link to OA pathophysiology are associated with KBD in the Tibetan population. Method Fifteen single-nucleotide polymorphisms (SNPs) in 12 candidate genes previously reported as OA susceptibility loci were selected for investigation. Genotyping was performed using the SNaPshot method for these SNPs in a Tibetan population composed of 849 KBD patients and 565 normal controls. Meanwhile, the coding regions of two genes, COL10A1 and HABP2, which may involve in the pathological mechanism of OA/KBD, were sequenced by Sanger sequencing to identify susceptibility coding variants for KBD in the Tibetan population. Results The two arthritis-susceptible candidate SNPs, rs7775 (p.Arg324Gly) in the FRZB gene and rs7033979 in the ASPN gene, showed associations with KBD (OR = 1.568, P = 4 × 10−3 and OR = 0.744, P = 8 × 10−3, respectively). The coding variants rs142463796 (p.Asp128Asn) and rs2228547 (p.Gly545Arg) in the COL10A1 gene (OR = 9.832 and P = 6 × 10−3 and OR = 1.242, P = 0.043, respectively) and rs548354451 (p.Asp272Glu) in the HABP2 gene (OR = 2.813, P = 0.010) were associated with KBD patients. Conclusion These finding suggested that rs7775 in the FRZB gene may increase susceptibility to KBD, while rs7033979 in the ASPN gene may play a protective role in susceptibility to KBD in Tibetans. Moreover, genetic variants in chondrogenesis-related genes COL10A1 and HABP2 may play a role in the risk of developing KBD in the Tibetan population. Electronic supplementary material The online version of this article (doi:10.1186/s12881-017-0423-6) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
- Zhengfu Tai
- The Key Laboratory for Human Disease Gene Study, Hospital of University of Electronic Science and Technology of China and Sichuan Provincial People's Hospital, Chengdu, Sichuan, China.,Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, Sichuan, China.,Sichuan Translational Medicine Research Hospital, Chinese Academy of Sciences, Chengdu, Sichuan, China
| | - Lulin Huang
- The Key Laboratory for Human Disease Gene Study, Hospital of University of Electronic Science and Technology of China and Sichuan Provincial People's Hospital, Chengdu, Sichuan, China.,Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, Sichuan, China.,School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan, China.,Sichuan Translational Medicine Research Hospital, Chinese Academy of Sciences, Chengdu, Sichuan, China
| | - Fang Lu
- The Key Laboratory for Human Disease Gene Study, Hospital of University of Electronic Science and Technology of China and Sichuan Provincial People's Hospital, Chengdu, Sichuan, China.,School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan, China.,Sichuan Translational Medicine Research Hospital, Chinese Academy of Sciences, Chengdu, Sichuan, China
| | - Yi Shi
- The Key Laboratory for Human Disease Gene Study, Hospital of University of Electronic Science and Technology of China and Sichuan Provincial People's Hospital, Chengdu, Sichuan, China.,School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan, China.,Sichuan Translational Medicine Research Hospital, Chinese Academy of Sciences, Chengdu, Sichuan, China
| | - Shi Ma
- The Key Laboratory for Human Disease Gene Study, Hospital of University of Electronic Science and Technology of China and Sichuan Provincial People's Hospital, Chengdu, Sichuan, China.,School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan, China.,Sichuan Translational Medicine Research Hospital, Chinese Academy of Sciences, Chengdu, Sichuan, China
| | - Jing Cheng
- The Key Laboratory for Human Disease Gene Study, Hospital of University of Electronic Science and Technology of China and Sichuan Provincial People's Hospital, Chengdu, Sichuan, China.,School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan, China.,Sichuan Translational Medicine Research Hospital, Chinese Academy of Sciences, Chengdu, Sichuan, China
| | - He Lin
- The Key Laboratory for Human Disease Gene Study, Hospital of University of Electronic Science and Technology of China and Sichuan Provincial People's Hospital, Chengdu, Sichuan, China.,School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan, China.,Sichuan Translational Medicine Research Hospital, Chinese Academy of Sciences, Chengdu, Sichuan, China
| | - Xin Liu
- The Key Laboratory for Human Disease Gene Study, Hospital of University of Electronic Science and Technology of China and Sichuan Provincial People's Hospital, Chengdu, Sichuan, China
| | - Yuanfeng Li
- The Key Laboratory for Human Disease Gene Study, Hospital of University of Electronic Science and Technology of China and Sichuan Provincial People's Hospital, Chengdu, Sichuan, China.,School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan, China.,Sichuan Translational Medicine Research Hospital, Chinese Academy of Sciences, Chengdu, Sichuan, China
| | - Zhenglin Yang
- The Key Laboratory for Human Disease Gene Study, Hospital of University of Electronic Science and Technology of China and Sichuan Provincial People's Hospital, Chengdu, Sichuan, China. .,Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, Sichuan, China. .,School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan, China. .,Sichuan Translational Medicine Research Hospital, Chinese Academy of Sciences, Chengdu, Sichuan, China. .,Center for Human Molecular Biology & Genetics, Hospital of University of Electronic Science and Technology of China and Sichuan Provincial, People's Hospital, 32 The First Ring Road West 2, Chengdu, Sichuan, 610072, China.
| |
Collapse
|
14
|
Chen YC, Guo YF, He H, Lin X, Wang XF, Zhou R, Li WT, Pan DY, Shen J, Deng HW. Integrative Analysis of Genomics and Transcriptome Data to Identify Potential Functional Genes of BMDs in Females. J Bone Miner Res 2016; 31:1041-9. [PMID: 26748680 DOI: 10.1002/jbmr.2781] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [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: 08/30/2015] [Revised: 12/27/2015] [Accepted: 12/30/2015] [Indexed: 02/01/2023]
Abstract
Osteoporosis is known to be highly heritable. However, to date, the findings from more than 20 genome-wide association studies (GWASs) have explained less than 6% of genetic risks. Studies suggest that the missing heritability data may be because of joint effects among genes. To identify novel heritability for osteoporosis, we performed a system-level study on bone mineral density (BMD) by weighted gene coexpression network analysis (WGCNA), using the largest GWAS data set for BMD in the field, Genetic Factors for Osteoporosis Consortium (GEFOS-2), and a transcriptomic gene expression data set generated from transiliac bone biopsies in women. A weighted gene coexpression network was generated for 1574 genes with GWAS nominal evidence of association (p ≤ 0.05) based on dissimilarity measurement on the expression data. Twelve distinct gene modules were identified, and four modules showed nominally significant associations with BMD (p ≤ 0.05), but only one module, the yellow module, demonstrated a good correlation between module membership (MM) and gene significance (GS), suggesting that the yellow module serves an important biological role in bone regulation. Interestingly, through characterization of module content and topology, the yellow module was found to be significantly enriched with contractile fiber part (GO:044449), which is widely recognized as having a close relationship between muscle and bone. Furthermore, detailed submodule analyses of important candidate genes (HOMER1, SPTBN1) by all edges within the yellow module implied significant enrichment of functional connections between bone and cytoskeletal protein binding. Our study yielded novel information from system genetics analyses of GWAS data jointly with transcriptomic data. The findings highlighted a module and several genes in the model as playing important roles in the regulation of bone mass in females, which may yield novel insights into the genetic basis of osteoporosis. © 2016 American Society for Bone and Mineral Research.
Collapse
Affiliation(s)
- Yuan-Cheng Chen
- Department of Endocrinology and Metabolism, The Third Affiliated Hospital of Southern Medical University, Guangzhou, PR China
| | - Yan-Fang Guo
- Department of Endocrinology and Metabolism, The Third Affiliated Hospital of Southern Medical University, Guangzhou, PR China.,Institute of Bioinformatics, School of Basic Medical Science, Southern Medical University, Guangzhou, PR China
| | - Hao He
- Center for Bioinformatics and Genomics, Tulane University, New Orleans, LA, USA.,Department of Biostatistics and Bioinformatics, Tulane University, New Orleans, LA, USA
| | - Xu Lin
- Department of Endocrinology and Metabolism, The Third Affiliated Hospital of Southern Medical University, Guangzhou, PR China
| | - Xia-Fang Wang
- Department of Endocrinology and Metabolism, The Third Affiliated Hospital of Southern Medical University, Guangzhou, PR China
| | - Rou Zhou
- Department of Endocrinology and Metabolism, The Third Affiliated Hospital of Southern Medical University, Guangzhou, PR China
| | - Wen-Ting Li
- Department of Endocrinology and Metabolism, The Third Affiliated Hospital of Southern Medical University, Guangzhou, PR China
| | - Dao-Yan Pan
- Department of Endocrinology and Metabolism, The Third Affiliated Hospital of Southern Medical University, Guangzhou, PR China
| | - Jie Shen
- Department of Endocrinology and Metabolism, The Third Affiliated Hospital of Southern Medical University, Guangzhou, PR China
| | - Hong-Wen Deng
- Department of Endocrinology and Metabolism, The Third Affiliated Hospital of Southern Medical University, Guangzhou, PR China.,Center for Bioinformatics and Genomics, Tulane University, New Orleans, LA, USA
| |
Collapse
|
15
|
|
16
|
Rodriguez-Fontenla C, Gonzalez A. Genética de la artrosis. ACTA ACUST UNITED AC 2015; 11:33-40. [DOI: 10.1016/j.reuma.2014.05.004] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2014] [Revised: 05/06/2014] [Accepted: 05/13/2014] [Indexed: 10/25/2022]
|
17
|
Hämäläinen S, Solovieva S, Vehmas T, Luoma K, Leino-Arjas P, Hirvonen A. Genetic influences on hand osteoarthritis in Finnish women--a replication study of candidate genes. PLoS One 2014; 9:e97417. [PMID: 24825461 PMCID: PMC4019597 DOI: 10.1371/journal.pone.0097417] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [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: 02/04/2014] [Accepted: 04/18/2014] [Indexed: 11/18/2022] Open
Abstract
Objectives Our aims were to replicate some previously reported associations of single nucleotide polymorphisms (SNPs) in five genes (A2BP1, COG5, GDF5, HFE, ESR1) with hand osteoarthritis (OA), and to examine whether genes (BCAP29, DIO2, DUS4L, DVWA, HLA, PTGS2, PARD3B, TGFB1 and TRIB1) associated with OA at other joint sites were associated with hand OA among Finnish women. Design We examined the bilateral hand radiographs of 542 occupationally active Finnish female dentists and teachers aged 45 to 63 and classified them according to the presence of OA by using reference images. Data regarding finger joint pain and other risk factors were collected using a questionnaire. We defined two hand OA phenotypes: radiographic OA in at least three joints (ROA) and symptomatic DIP OA. The genotypes were determined by PCR-based methods. In statistical analysis, we used SNPStats software, the chi-square test and logistic regression. Results Of the SNPs, rs716508 in A2BP1 was associated with ROA (OR = 0.7, 95% CI 0.5–0.9) and rs1800470 in TGFB1 with symptomatic DIP OA (1.8, 1.2–2.9). We found an interaction between ESR1 (rs9340799) and occupation: teachers with the minor allele were at an increased risk of symptomatic DIP OA (2.8, 1.3–6.5). We saw no association among the dentists. We also found that the carriage of the COG5 rs3757713 C allele increased the risk of ROA only among women with the BCAP29 rs10953541 CC genotype (2.6; 1.1–6.1). There was also a suggestive interaction between the HFE rs179945 and the ESR1 rs9340799, and the carriage of the minor allele of either of these SNPs was associated with an increased risk of symptomatic DIP OA (2.1, 1.3–2.5). Conclusions Our results support the earlier findings of A2BP1 and TBGF1 being OA susceptibility genes and provide evidence of a possible gene-gene interaction in the genetic influence on hand OA predisposition.
Collapse
Affiliation(s)
- Satu Hämäläinen
- Finnish Institute of Occupational Health, Centre of Expertise for Health and Work Ability, Helsinki, Finland
| | - Svetlana Solovieva
- Finnish Institute of Occupational Health, Centre of Expertise for Health and Work Ability, Helsinki, Finland
| | - Tapio Vehmas
- Finnish Institute of Occupational Health, Centre of Expertise for Health and Work Ability, Helsinki, Finland
| | - Katariina Luoma
- University of Helsinki, Helsinki University Central Hospital, Radiology department, Helsinki, Finland
| | - Päivi Leino-Arjas
- Finnish Institute of Occupational Health, Centre of Expertise for Health and Work Ability, Helsinki, Finland
| | - Ari Hirvonen
- Finnish Institute of Occupational Health, Centre of Expertise for Health and Work Ability, Helsinki, Finland
| |
Collapse
|
18
|
Paria N, Copley LA, Herring JA, Kim HKW, Richards BS, Sucato DJ, Rios JJ, Wise CA. The impact of large-scale genomic methods in orthopaedic disorders: insights from genome-wide association studies. J Bone Joint Surg Am 2014; 96:e38. [PMID: 24599210 DOI: 10.2106/jbjs.m.00398] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Affiliation(s)
- Nandina Paria
- Sarah M. and Charles E. Seay Center for Musculoskeletal Research (N.P., H.K.W.K., J.J.R., and C.A.W.) and Department of Orthopaedics (L.A.C., J.A.H., B.S.R., and D.J.S.), Texas Scottish Rite Hospital for Children, 2222 Welborn Street, Dallas, TX 75219. E-
| | - Lawson A Copley
- Sarah M. and Charles E. Seay Center for Musculoskeletal Research (N.P., H.K.W.K., J.J.R., and C.A.W.) and Department of Orthopaedics (L.A.C., J.A.H., B.S.R., and D.J.S.), Texas Scottish Rite Hospital for Children, 2222 Welborn Street, Dallas, TX 75219. E-
| | - John A Herring
- Sarah M. and Charles E. Seay Center for Musculoskeletal Research (N.P., H.K.W.K., J.J.R., and C.A.W.) and Department of Orthopaedics (L.A.C., J.A.H., B.S.R., and D.J.S.), Texas Scottish Rite Hospital for Children, 2222 Welborn Street, Dallas, TX 75219. E-
| | - Harry K W Kim
- Sarah M. and Charles E. Seay Center for Musculoskeletal Research (N.P., H.K.W.K., J.J.R., and C.A.W.) and Department of Orthopaedics (L.A.C., J.A.H., B.S.R., and D.J.S.), Texas Scottish Rite Hospital for Children, 2222 Welborn Street, Dallas, TX 75219. E-
| | - B Stephens Richards
- Sarah M. and Charles E. Seay Center for Musculoskeletal Research (N.P., H.K.W.K., J.J.R., and C.A.W.) and Department of Orthopaedics (L.A.C., J.A.H., B.S.R., and D.J.S.), Texas Scottish Rite Hospital for Children, 2222 Welborn Street, Dallas, TX 75219. E-
| | - Daniel J Sucato
- Sarah M. and Charles E. Seay Center for Musculoskeletal Research (N.P., H.K.W.K., J.J.R., and C.A.W.) and Department of Orthopaedics (L.A.C., J.A.H., B.S.R., and D.J.S.), Texas Scottish Rite Hospital for Children, 2222 Welborn Street, Dallas, TX 75219. E-
| | - Jonathan J Rios
- Sarah M. and Charles E. Seay Center for Musculoskeletal Research (N.P., H.K.W.K., J.J.R., and C.A.W.) and Department of Orthopaedics (L.A.C., J.A.H., B.S.R., and D.J.S.), Texas Scottish Rite Hospital for Children, 2222 Welborn Street, Dallas, TX 75219. E-
| | - Carol A Wise
- Sarah M. and Charles E. Seay Center for Musculoskeletal Research (N.P., H.K.W.K., J.J.R., and C.A.W.) and Department of Orthopaedics (L.A.C., J.A.H., B.S.R., and D.J.S.), Texas Scottish Rite Hospital for Children, 2222 Welborn Street, Dallas, TX 75219. E-
| |
Collapse
|
19
|
Yigit S, Inanir A, Tekcan A, Tural E, Ozturk GT, Kismali G, Karakus N. Significant association of interleukin-4 gene intron 3 VNTR polymorphism with susceptibility to knee osteoarthritis. Gene 2014; 537:6-9. [PMID: 24406619 DOI: 10.1016/j.gene.2013.12.060] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2013] [Revised: 12/07/2013] [Accepted: 12/27/2013] [Indexed: 01/18/2023]
Abstract
OBJECTIVE Interleukin-4 (IL-4) is a strong chondroprotective cytokine and polymorphisms within this gene may be a risk factor for osteoarthritis (OA). We aimed to investigate genotype and allele frequencies of IL-4 gene intron 3 variable number of tandem repeats (VNTR) polymorphism in patients with knee OA in a Turkish population. METHODS The study included 202 patients with knee OA and 180 healthy controls. Genomic DNA was isolated and IL-4 gene 70 bp VNTR polymorphism determined by using polymerase chain reaction (PCR) with specific primers followed by restriction fragment length polymorphism (RFLP) analysis. RESULTS Our result show that there was statistically significant difference between knee OA patients and control group with respect to IL-4 genotype distribution and allele frequencies (p=0.000, OR: 0.20, 95% CI: 0.10-0.41, OR: 0.22, 95% CI: 0.12-0.42, respectively). CONCLUSIONS Our findings suggest that there is an association of IL-4 gene intron 3 VNTR polymorphism with susceptibility of a person for development of knee OA. As a result, IL-4 gene intron 3 VNTR polymorphism could be a genetic marker in OA in a Turkish study population. This is the first association study that evaluates the associations between IL-4 gene VNTR polymorphism and knee OA.
Collapse
|
20
|
Affiliation(s)
- Shiro Ikegawa
- Laboratory of Bone and Joint Diseases, Center for Genomic Medicine, RIKEN, Tokyo 108-8639, Japan;
| |
Collapse
|
21
|
Zhao WW. Intragenic deletion of RBFOX1 associated with neurodevelopmental/neuropsychiatric disorders and possibly other clinical presentations. Mol Cytogenet 2013; 6:26. [PMID: 23822903 PMCID: PMC3766065 DOI: 10.1186/1755-8166-6-26] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.7] [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: 04/11/2013] [Accepted: 05/30/2013] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND RBFOX1 is an important splicing factor regulating developmental and tissue-specific alternative splicing in heart, muscle, and neuronal tissues. Constitutional genetic defects in RBFOX1 are implicated in multiple medical conditions. RESULTS We identified 14 copy number variants (CNV) involving RBFOX1 from 2,124 consecutive pediatric patients referred for chromosomal microarray analysis (CMA), including 13 intragenic deletions and a single intragenic duplication. The clinical significances of the intragenic deletions of RBFOX1 were evaluated. CONCLUSIONS Our data strongly supports the associations of intragenic deletions of RBFOX1 with a diversity of neurodevelopmental and neuropsychiatric disorders, and possibly other clinical features.
Collapse
Affiliation(s)
- Wei-Wei Zhao
- Department of Molecular Pathology, KingMed Genome Diagnostic Laboratory, 2429 XinGangDong Road, Haizhu Science and Technology Building, Guangzhou 510330, China.
| |
Collapse
|
22
|
Karakus N, Yigit S, Kurt GS, Cevik B, Demir O, Ates O. Association of interleukin (IL)-4 gene intron 3 VNTR polymorphism with multiple sclerosis in Turkish population. Hum Immunol 2013; 74:1157-60. [PMID: 23756167 DOI: 10.1016/j.humimm.2013.05.011] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2012] [Revised: 05/21/2013] [Accepted: 05/29/2013] [Indexed: 01/21/2023]
Abstract
OBJECTIVE Genetic risk factors are known to contribute to the etiology of multiple sclerosis (MS). Interleukin (IL)-4 gene polymorphisms have been associated with immune-mediated diseases. The aim of this study was to explore the frequency of IL-4 gene intron 3 VNTR (variable number tandem repeat) polymorphism in a cohort of Turkish patients with MS. METHODS The study included 125 patients with MS and 160 healthy controls. Genomic DNA was isolated and genotyped using polymerase chain reaction (PCR) analyses for the IL-4 gene intron 3 VNTR polymorphism. RESULTS The distribution of genotype and allele frequencies of IL-4 gene intron 3 VNTR polymorphism was statistically different between MS patients and control group (p = 0.003 and p = 0.002, respectively). There were no statistically significant association between IL-4 VNTR polymorphism and clinical and demographical characteristics of MS patients. CONCLUSION The results of this study suggest that intron 3 VNTR polymorphism of the IL-4 gene was positively associated with predisposition to develop MS in Turkish population.
Collapse
|
23
|
Abstract
Osteoarthritis (OA) is the most common type of arthritis worldwide and rapidly increasing with ageing populations. It is a major source of pain and disability for individuals and economic burden for health economies. Modern imaging, in particular magnetic resonance imaging (MRI), has helped us to understand that OA is a dynamic remodelling process involving all the structures within the joint. Inflammation is common in OA, with a high prevalence of synovitis seen on imaging, and this has been associated with joint pain. MRI detected changes within the subchondral bone are also common and associated with pain and structural progression. Targeting individual pathologies may offer potential new therapeutic options for OA; this is particularly important given the current treatments are often limited by side effects or lack of efficacy. New approaches to understanding the pathology and pain pathways in OA offer hope of novel analgesic options, for example, monoclonal antibodies against nerve growth factor and centrally acting drugs such as duloxetine, tapentadol and bradykinin receptor antagonists have all recently undergone trials in OA. While treatment for OA has until now relied on symptom management, for the first time, recent trials suggest that structure modification may be possible by treating the subchondral bone.
Collapse
Affiliation(s)
- Claire Y J Wenham
- Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds and NIHR Leeds Musculoskeletal Biomedical Research Unit, Chapel Allerton Hospital, Leeds, UK.
| | | |
Collapse
|
24
|
Abstract
TwinsUK is a nation-wide registry of volunteer twins in the United Kingdom, with about 12,000 registered twins (83% female, equal number of monozygotic and dizygotic twins, predominantly middle-aged and older). Over the last 20 years, questionnaire and blood/urine/tissue samples have been collected on over 7,000 subjects, as well as three comprehensive phenotyping assessments in the clinical facilities of the Department of Twin Research and Genetic Epidemiology, King's College London. The primary focus of study has been the genetic basis of healthy aging process and complex diseases, including cardiovascular, metabolic, musculoskeletal, and ophthalmologic disorders. Alongside the detailed clinical, biochemical, behavioral, and socio-economic characterization of the study population, the major strength of TwinsUK is availability of several 'omics' technologies for the participants. These include genome-wide scans of single nucleotide variants, next-generation sequencing, exome sequencing, epigenetic markers (MeDIP sequencing), gene expression arrays and RNA sequencing, telomere length measures, metabolomic profiles, and gut flora microbiomics. The scientific community now can freely access parts of the phenotype data from the 'TwinsUK', and interested researchers are encouraged to contact us via our Web site (www.twinsuk.ac.uk) for future collaborations.
Collapse
|
25
|
Williams FMK, Bansal AT, van Meurs JB, Bell JT, Meulenbelt I, Suri P, Rivadeneira F, Sambrook PN, Hofman A, Bierma-Zeinstra S, Menni C, Kloppenburg M, Slagboom PE, Hunter DJ, MacGregor AJ, Uitterlinden AG, Spector TD. Novel genetic variants associated with lumbar disc degeneration in northern Europeans: a meta-analysis of 4600 subjects. Ann Rheum Dis 2012; 72:1141-8. [PMID: 22993228 PMCID: PMC3686263 DOI: 10.1136/annrheumdis-2012-201551] [Citation(s) in RCA: 89] [Impact Index Per Article: 7.4] [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] [Indexed: 01/23/2023]
Abstract
OBJECTIVE Lumbar disc degeneration (LDD) is an important cause of low back pain, which is a common and costly problem. LDD is characterised by disc space narrowing and osteophyte growth at the circumference of the disc. To date, the agnostic search of the genome by genome-wide association (GWA) to identify common variants associated with LDD has not been fruitful. This study is the first GWA meta-analysis of LDD. METHODS We have developed a continuous trait based on disc space narrowing and osteophytes growth which is measurable on all forms of imaging (plain radiograph, CT scan and MRI) and performed a meta-analysis of five cohorts of Northern European extraction each having GWA data imputed to HapMap V.2. RESULTS This study of 4600 individuals identified four single nucleotide polymorphisms with p<5×10(-8), the threshold set for genome-wide significance. We identified a variant in the PARK2 gene (p=2.8×10(-8)) associated with LDD. Differential methylation at one CpG island of the PARK2 promoter was observed in a small subset of subjects (β=8.74×10(-4), p=0.006). CONCLUSIONS LDD accounts for a considerable proportion of low back pain and the pathogenesis of LDD is poorly understood. This work provides evidence of association of the PARK2 gene and suggests that methylation of the PARK2 promoter may influence degeneration of the intervertebral disc. This gene has not previously been considered a candidate in LDD and further functional work is needed on this hitherto unsuspected pathway.
Collapse
Affiliation(s)
- Frances M K Williams
- Department Twin Research and Genetic Epidemiology, King's College London, London, UK.
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
26
|
Liu F, van der Lijn F, Schurmann C, Zhu G, Chakravarty MM, Hysi PG, Wollstein A, Lao O, de Bruijne M, Ikram MA, van der Lugt A, Rivadeneira F, Uitterlinden AG, Hofman A, Niessen WJ, Homuth G, de Zubicaray G, McMahon KL, Thompson PM, Daboul A, Puls R, Hegenscheid K, Bevan L, Pausova Z, Medland SE, Montgomery GW, Wright MJ, Wicking C, Boehringer S, Spector TD, Paus T, Martin NG, Biffar R, Kayser M. A genome-wide association study identifies five loci influencing facial morphology in Europeans. PLoS Genet 2012; 8:e1002932. [PMID: 23028347 PMCID: PMC3441666 DOI: 10.1371/journal.pgen.1002932] [Citation(s) in RCA: 196] [Impact Index Per Article: 16.3] [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: 01/04/2012] [Accepted: 07/13/2012] [Indexed: 12/11/2022] Open
Abstract
Inter-individual variation in facial shape is one of the most noticeable phenotypes in humans, and it is clearly under genetic regulation; however, almost nothing is known about the genetic basis of normal human facial morphology. We therefore conducted a genome-wide association study for facial shape phenotypes in multiple discovery and replication cohorts, considering almost ten thousand individuals of European descent from several countries. Phenotyping of facial shape features was based on landmark data obtained from three-dimensional head magnetic resonance images (MRIs) and two-dimensional portrait images. We identified five independent genetic loci associated with different facial phenotypes, suggesting the involvement of five candidate genes--PRDM16, PAX3, TP63, C5orf50, and COL17A1--in the determination of the human face. Three of them have been implicated previously in vertebrate craniofacial development and disease, and the remaining two genes potentially represent novel players in the molecular networks governing facial development. Our finding at PAX3 influencing the position of the nasion replicates a recent GWAS of facial features. In addition to the reported GWA findings, we established links between common DNA variants previously associated with NSCL/P at 2p21, 8q24, 13q31, and 17q22 and normal facial-shape variations based on a candidate gene approach. Overall our study implies that DNA variants in genes essential for craniofacial development contribute with relatively small effect size to the spectrum of normal variation in human facial morphology. This observation has important consequences for future studies aiming to identify more genes involved in the human facial morphology, as well as for potential applications of DNA prediction of facial shape such as in future forensic applications.
Collapse
Affiliation(s)
- Fan Liu
- Department of Forensic Molecular Biology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Fedde van der Lijn
- Department of Forensic Molecular Biology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Medical Informatics, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Radiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Claudia Schurmann
- Interfaculty Institute for Genetics and Functional Genomics, Ernst-Moritz-Arndt University Greifswald, Greifswald, Germany
| | - Gu Zhu
- Queensland Institute of Medical Research, Brisbane, Australia
| | - M. Mallar Chakravarty
- Rotman Research Institute, University of Toronto, Toronto, Canada
- Centre for Addiction and Mental Health, University of Toronto, Toronto, Canada
| | - Pirro G. Hysi
- Department of Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom
| | - Andreas Wollstein
- Department of Forensic Molecular Biology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Oscar Lao
- Department of Forensic Molecular Biology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Marleen de Bruijne
- Department of Medical Informatics, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Radiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - M. Arfan Ikram
- Department of Radiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Aad van der Lugt
- Department of Radiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Fernando Rivadeneira
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Internal Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - André G. Uitterlinden
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Internal Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Albert Hofman
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Wiro J. Niessen
- Department of Medical Informatics, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Radiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Imaging Science and Technology, Faculty of Applied Sciences, Delft University of Technology, Delft, The Netherlands
| | - Georg Homuth
- Interfaculty Institute for Genetics and Functional Genomics, Ernst-Moritz-Arndt University Greifswald, Greifswald, Germany
| | - Greig de Zubicaray
- Centre for Advanced Imaging, University of Queensland, Brisbane, Australia
| | - Katie L. McMahon
- Centre for Advanced Imaging, University of Queensland, Brisbane, Australia
| | - Paul M. Thompson
- Laboratory of Neuroimaging, School of Medicine, University of California Los Angeles, Los Angeles, California, United States of America
| | - Amro Daboul
- Center of Oral Health, Department of Prosthodontics, Gerostomatology, and Dental Materials, University Medicine Greifswald, Greifswald, Germany
| | - Ralf Puls
- Department of Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany
| | - Katrin Hegenscheid
- Department of Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany
| | - Liisa Bevan
- Department of Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom
| | - Zdenka Pausova
- The Hospital of Sick Children, University of Toronto, Toronto, Canada
| | | | | | | | - Carol Wicking
- Institute for Molecular Bioscience, University of Queensland, Brisbane, Australia
| | - Stefan Boehringer
- Department of Medical Statistics and Bioinformatics, Leiden University Medical Center, Leiden, The Netherlands
| | - Timothy D. Spector
- Department of Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom
| | - Tomáš Paus
- Rotman Research Institute, University of Toronto, Toronto, Canada
- Montréal Neurological Institute, McGill University, Montréal, Canada
| | | | - Reiner Biffar
- Center of Oral Health, Department of Prosthodontics, Gerostomatology, and Dental Materials, University Medicine Greifswald, Greifswald, Germany
| | - Manfred Kayser
- Department of Forensic Molecular Biology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| |
Collapse
|
27
|
Abstract
In the last decades, many researchers aimed to identify causal genetic variants by means of candidate gene analyses, genome wide linkage and association studies to elucidate underlying mechanisms of osteoarthritis (OA). Although several consistent genetic variants were identified the successes are limited. This review has a focus on studies published until mid 2011 and on data presented at the Osteoarthritis Research Society International 2011 (OARSI) in San Diego and that aim to elucidate the primary molecular and cellular events commencing OA onset in humans by applying genetic study designs.
Collapse
Affiliation(s)
- I Meulenbelt
- Department of Molecular Epidemiology, Leiden University Medical Center, 2300 RC Leiden, The Netherlands.
| |
Collapse
|
28
|
Abstract
Osteoarthritis (OA) has a considerable hereditary component and is considered to be a polygenic disease. Data derived from genetic analyses and genome-wide screening of individuals with this disease have revealed a surprising trend: genes associated with OA tend to be related to the process of synovial joint development. Mutations in these genes might directly cause OA. In addition, they could also determine the age at which OA becomes apparent, the joint sites involved, the severity of the disease and how rapidly it progresses. In this Review, I propose that genetic mutations associated with OA can be placed on a continuum. Early-onset OA is caused by mutations in matrix molecules often associated with chondrodysplasias, whereas less destructive structural abnormalities or mutations confer increased susceptibility to injury or malalignment that can result in middle-age onset. Finally, mutations in molecules that regulate subtle aspects of joint development and structure lead to late-onset OA. In this Review, I discuss the genetics of OA in general, but focus on the potential effect of genetic mutations associated with OA on joint structure, the role of joint structure in the development of OA--using hip abnormalities as a model--and how understanding the etiology of the disease could influence treatment.
Collapse
|
29
|
Abstract
The UK's largest registry of adult twins, or TwinsUK Registry, started in 1992 and encompasses about 12000 volunteer twins from all over the United Kingdom. More than 70% of the registered twins have filled at least one detailed health questionnaire and about half of them undergone a baseline comprehensive assessment and two follow-up clinical evaluations. The most recent follow-up visit, known as Healthy Ageing Twin Study (HATS), involved 3125 female twins aged >40 years with at least one previous clinical assessment to enable inspection of longitudinal changes in ageing traits and their genetic and environmental components. The study benefits from several state-of-the-art OMICs studies including genome-wide association, next-generation genome and transcriptome sequencing, and epigenetic and metabolomic profiles. This makes our cohort as one of the most deeply phenotyped and genotyped in the world. Several collaborative projects in the field of epidemiology of complex disorders are ongoing in our cohort and interested researchers are encouraged to get in contact for future collaborations.
Collapse
Affiliation(s)
- Alireza Moayyeri
- Department of Twin Research and Genetic Epidemiology, King's College London, St Thomas' Hospital, London, UK
| | | | | | | |
Collapse
|
30
|
Abstract
Hand osteoarthritis (OA) is a prevalent disorder. Hand OA is not one single disease, but a heterogeneous group of disorders. Radiographic signs of hand OA, such as osteophytes or joint space narrowing, can be found in up to 81% of the elderly population. Several hand OA subsets--such as nodal interphalangeal OA, thumb base OA and erosive OA--can be discriminated. Furthermore, the experience of symptoms and the course of the disease differ between patients. Studies that used well-defined study populations with longitudinal follow-up have shown that similarities and differences can be observed in the pathogenesis, epidemiology and risk factors of the various hand OA subsets. Erosive OA in particular, characterized by erosive lesions on radiographical images, has a higher clinical burden and worse outcome than nonerosive hand OA. Imaging modalities (such as ultrasonography) have increased our knowledge of the role of inflammation of the disease. Our understanding of the heterogeneous nature of hand OA can eventually lead to increased knowledge of the pathogenesis of, and ultimately new treatment modalities for, this complex disease.
Collapse
Affiliation(s)
- Margreet Kloppenburg
- Department of Rheumatology, Leiden University Medical Center, Albinusdreef 2, PO Box 9600, 2300 RC Leiden, The Netherlands.
| | | |
Collapse
|
31
|
|
32
|
Kerkhof HJ, Meulenbelt I, Akune T, Arden NK, Aromaa A, Bierma-Zeinstra SM, Carr A, Cooper C, Dai J, Doherty M, Doherty SA, Felson D, Gonzalez A, Gordon A, Harilainen A, Hart DJ, Hauksson VB, Heliovaara M, Hofman A, Ikegawa S, Ingvarsson T, Jiang Q, Jonsson H, Jonsdottir I, Kawaguchi H, Kloppenburg M, Kujala UM, Lane NE, Leino-Arjas P, Lohmander S, Luyten FP, Malizos KN, Nakajima M, Nevitt MC, Pols HA, Rivadeneira F, Shi D, Slagboom E, Spector TD, Stefansson K, Sudo A, Tamm A, Tamm AE, Tsezou A, Uchida A, Uitterlinden AG, Wilkinson JM, Yoshimura N, Valdes AM, van Meurs JB. Recommendations for standardization and phenotype definitions in genetic studies of osteoarthritis: the TREAT-OA consortium. Osteoarthritis Cartilage 2011; 19:254-64. [PMID: 21059398 PMCID: PMC3236091 DOI: 10.1016/j.joca.2010.10.027] [Citation(s) in RCA: 67] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/07/2010] [Revised: 10/15/2010] [Accepted: 10/26/2010] [Indexed: 02/02/2023]
Abstract
OBJECTIVE To address the need for standardization of osteoarthritis (OA) phenotypes by examining the effect of heterogeneity among symptomatic (SOA) and radiographic osteoarthritis (ROA) phenotypes. METHODS Descriptions of OA phenotypes of the 28 studies involved in the TREAT-OA consortium were collected. We investigated whether different OA definitions result in different association results by creating various hip OA definitions in one large population based cohort (the Rotterdam Study I (RSI)) and testing those for association with gender, age and body mass index using one-way ANOVA. For ROA, we standardized the hip-, knee- and hand ROA definitions and calculated prevalence's of ROA before and after standardization in nine cohort studies. This procedure could only be performed in cohort studies and standardization of SOA definitions was not feasible at this moment. RESULTS In this consortium, all studies with SOA phenotypes (knee, hip and hand) used a different definition and/or assessment of OA status. For knee-, hip- and hand ROA five, four and seven different definitions were used, respectively. Different hip ROA definitions do lead to different association results. For example, we showed in the RSI that hip OA defined as "at least definite joint space narrowing (JSN) and one definite osteophyte" was not associated with gender (P =0.22), but defined as "at least one definite osteophyte" was significantly associated with gender (P=3×10(-9)). Therefore, a standardization process was undertaken for ROA definitions. Before standardization a wide range of ROA prevalence's was observed in the nine cohorts studied. After standardization the range in prevalence of knee- and hip ROA was small. CONCLUSION Phenotype definitions influence the prevalence of OA and association with clinical variables. ROA phenotypes within the TREAT-OA consortium were standardized to reduce heterogeneity and improve power in future genetics studies.
Collapse
Affiliation(s)
- Hanneke J.M. Kerkhof
- Department of Internal Medicine, Erasmus Medical Center Rotterdam, Rotterdam, the Netherlands,The Netherlands Genomics Initiative-sponsored Netherlands Consortium for Healthy Aging (NGI-NCHA), Rotterdam/Leiden, the Netherlands
| | - Ingrid Meulenbelt
- The Netherlands Genomics Initiative-sponsored Netherlands Consortium for Healthy Aging (NGI-NCHA), Rotterdam/Leiden, the Netherlands,Department of Molecular Epidemiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Toru Akune
- Department of Clinical Motor System Medicine, 22nd Century Medical and Research Center, The University of Tokyo, Tokyo, Japan
| | - Nigel K. Arden
- MRC Epidemiology Resource Centre University of Southampton, Southampton General Hospital, Southampton, United Kingdom,NIHR Musculoskeletal Biomedical Research Unit, University of Oxford, Oxford England Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences University of Oxford, Oxford, United Kingdom
| | - Arpo Aromaa
- The National Institute for Health and Welfare (THL), Helsinki, Finland
| | | | - Andrew Carr
- NIHR Musculoskeletal Biomedical Research Unit, University of Oxford, Oxford England Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences University of Oxford, Oxford, United Kingdom
| | - Cyrus Cooper
- MRC Epidemiology Resource Centre University of Southampton, Southampton General Hospital, Southampton, United Kingdom,NIHR Musculoskeletal Biomedical Research Unit, University of Oxford, Oxford England Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences University of Oxford, Oxford, United Kingdom
| | - Jin Dai
- Center of Diagnosis and Treatment for Joint Disease, Nanjing DrumTower Hospital, The affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Michael Doherty
- Academic Rheumatology, Clinical Sciences Building, Nottingham City Hospital Hucknall Road, Nottingham, United Kingdom
| | - Sally A. Doherty
- Academic Rheumatology, Clinical Sciences Building, Nottingham City Hospital Hucknall Road, Nottingham, United Kingdom
| | - David Felson
- Clinical Epidemiology Research and Training Unit, Boston University School of Medicine, Boston, MA, United States of America
| | - Antonio Gonzalez
- Laboratorio Investigacion and Rheumatology Unit, Hospital Clinico Universitario Santiago, Santiago de Compostela, Spain
| | - Andrew Gordon
- Academic Unit of Bone Metabolism, Department of Human Metabolism, University of Sheffield, Sheffield, United Kingdom,Sheffield NIHR Bone Biomedical research Unit, Centre for Biomedical Research, Northern General Hospital, Sheffield, United Kingdom
| | - Arsi Harilainen
- ORTON Orthopedic Hospital, Invalid Foundation, Helsinki, Finland
| | - Deborah J. Hart
- Department of Twin Research and Genetic Epidemiology, St. Thomas' Hospital, King's College London, London, United Kingdom
| | | | - Markku Heliovaara
- The National Institute for Health and Welfare (THL), Helsinki, Finland
| | - Albert Hofman
- The Netherlands Genomics Initiative-sponsored Netherlands Consortium for Healthy Aging (NGI-NCHA), Rotterdam/Leiden, the Netherlands,Department of Epidemiology, Erasmus Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Shiro Ikegawa
- Laboratory for Bone and Joint Diseases, Center for Genomic Medicine, RIKEN, Japan
| | - Thorvaldur Ingvarsson
- FSA University Hospital, Institution of Health Science, University of Akureyri, Akureyri, Iceland
| | - Qing Jiang
- Center of Diagnosis and Treatment for Joint Disease, Nanjing DrumTower Hospital, The affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Helgi Jonsson
- Department of Medicine, Landspitali University Hospital and Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Ingileif Jonsdottir
- deCODE Genetics, Reykjavik, Iceland,Department of Medicine, Landspitali University Hospital and Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Hiroshi Kawaguchi
- Department of Orthopaedic Surgery, Faculty of Medicine, The University of Tokyo, Tokyo, Japan
| | - Margreet Kloppenburg
- Department of Rheumatology, Leiden University Medical Center, Leiden, the Netherlands
| | - Urho M. Kujala
- Department of Health Sciences, University of Jyväskylä, Jyväskylä, Finland
| | - Nancy E. Lane
- University of California at San Francisco and University of California at Davis, Sacramento, United States of America
| | | | - Stefan Lohmander
- Department of Orthopedics, Clinical Sciences, Lund University, Lund, Sweden
| | - Frank P. Luyten
- Laboratory for Skeletal Development and Joint Disorders, Division of Rheumatology, Katholieke Universiteit Leuven, Belgium
| | | | - Masahiro Nakajima
- Laboratory for Bone and Joint Diseases, Center for Genomic Medicine, RIKEN, Japan
| | - Michael C. Nevitt
- University of California at San Francisco and University of California at Davis, Sacramento, United States of America
| | - Huibert A.P. Pols
- Department of Internal Medicine, Erasmus Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Fernando Rivadeneira
- Department of Internal Medicine, Erasmus Medical Center Rotterdam, Rotterdam, the Netherlands,The Netherlands Genomics Initiative-sponsored Netherlands Consortium for Healthy Aging (NGI-NCHA), Rotterdam/Leiden, the Netherlands,Department of Epidemiology, Erasmus Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Dongquan Shi
- Center of Diagnosis and Treatment for Joint Disease, Nanjing DrumTower Hospital, The affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Eline Slagboom
- The Netherlands Genomics Initiative-sponsored Netherlands Consortium for Healthy Aging (NGI-NCHA), Rotterdam/Leiden, the Netherlands,Department of Molecular Epidemiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Tim D. Spector
- Department of Twin Research and Genetic Epidemiology, St. Thomas' Hospital, King's College London, London, United Kingdom
| | - Kari Stefansson
- deCODE Genetics, Reykjavik, Iceland,Department of Medicine, Landspitali University Hospital and Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Akihiro Sudo
- Department of Orthopaedic Surgery, Mie University Graduate School of Medicine, Japan
| | - Agu Tamm
- Department of Internal Medicine, University of Tartu, Estonia
| | - Ann E. Tamm
- Department of Sport Medicine and Rehabilitation, Univerity of Tartu, Estonia
| | - Aspasia Tsezou
- Department of Biology and Genetics, University of Thessaly, Larissa, Greece
| | - Atsumasa Uchida
- Department of Orthopaedic Surgery, Mie University Graduate School of Medicine, Japan
| | - André G. Uitterlinden
- Department of Internal Medicine, Erasmus Medical Center Rotterdam, Rotterdam, the Netherlands,The Netherlands Genomics Initiative-sponsored Netherlands Consortium for Healthy Aging (NGI-NCHA), Rotterdam/Leiden, the Netherlands,Department of Epidemiology, Erasmus Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Jeremy Mark Wilkinson
- Academic Unit of Bone Metabolism, Department of Human Metabolism, University of Sheffield, Sheffield, United Kingdom,Sheffield NIHR Bone Biomedical research Unit, Centre for Biomedical Research, Northern General Hospital, Sheffield, United Kingdom
| | - Noriko Yoshimura
- Department of Joint Disease Research, 22nd Century Medical and Research Center, The University of Tokyo Hospital, The University of Tokyo, Tokyo, Japan
| | - Ana M. Valdes
- Department of Twin Research and Genetic Epidemiology, St. Thomas' Hospital, King's College London, London, United Kingdom
| | - Joyce B.J. van Meurs
- Department of Internal Medicine, Erasmus Medical Center Rotterdam, Rotterdam, the Netherlands,The Netherlands Genomics Initiative-sponsored Netherlands Consortium for Healthy Aging (NGI-NCHA), Rotterdam/Leiden, the Netherlands
| |
Collapse
|
33
|
Zintzaras E, Doxani C, Koufakis T, Kastanis A, Rodopoulou P, Karachalios T. Synopsis and meta-analysis of genetic association studies in osteoporosis for the focal adhesion family genes: the CUMAGAS-OSTEOporosis information system. BMC Med 2011; 9:9. [PMID: 21269451 PMCID: PMC3040157 DOI: 10.1186/1741-7015-9-9] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2010] [Accepted: 01/26/2011] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Focal adhesion (FA) family genes have been studied as candidate genes for osteoporosis, but the results of genetic association studies (GASs) are controversial. To clarify these data, a systematic assessment of GASs for FA genes in osteoporosis was conducted. METHODS We developed Cumulative Meta-Analysis of GAS-OSTEOporosis (CUMAGAS-OSTEOporosis), a web-based information system that allows the retrieval, analysis and meta-analysis (for allele contrast, recessive, dominant, additive and codominant models) of data from GASs on osteoporosis with the capability of update. GASs were identified by searching the PubMed and HuGE PubLit databases. RESULTS Data from 72 studies involving 13 variants of 6 genes were analyzed and catalogued in CUMAGAS-OSTEOporosis. Twenty-two studies produced significant associations with osteoporosis risk under any genetic model. All studies were underpowered (<50%). In four studies, the controls deviated from the Hardy-Weinberg equilibrium. Eight variants were chosen for meta-analysis, and significance was shown for the variants collagen, type I, α1 (COL1A1) G2046T (all genetic models), COL1A1 G-1997T (allele contrast and dominant model) and integrin β-chain β3 (ITGB3) T176C (recessive and additive models). In COL1A1 G2046T, subgroup analysis has shown significant associations for Caucasians, adults, females, males and postmenopausal women. A differential magnitude of effect in large versus small studies (that is, indication of publication bias) was detected for the variant COL1A1 G2046T. CONCLUSION There is evidence of an implication of FA family genes in osteoporosis. CUMAGAS-OSTEOporosis could be a useful tool for current genomic epidemiology research in the field of osteoporosis.
Collapse
Affiliation(s)
- Elias Zintzaras
- Department of Biomathematics, University of Thessaly School of Medicine, Larissa, Greece.
| | | | | | | | | | | |
Collapse
|
34
|
Williams FM, Zhai G, Spector TD. Genetics of osteoarthritis. Rheumatology (Oxford) 2011. [DOI: 10.1016/b978-0-323-06551-1.00174-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022] Open
|
35
|
Kaufmann RA, Lögters TT, Verbruggen G, Windolf J, Goitz RJ. Osteoarthritis of the distal interphalangeal joint. J Hand Surg Am 2010; 35:2117-25. [PMID: 21134619 DOI: 10.1016/j.jhsa.2010.09.003] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2010] [Accepted: 09/04/2010] [Indexed: 02/02/2023]
Abstract
Osteoarthritis occurs with the highest prevalence in the distal interphalangeal joint of the hand and has been divided into an erosive and a nonerosive form. The pathogenesis of the early stages of osteoarthritis is poorly understood, but considerable emphasis has been placed on the role of cartilage and subchondral bone as well as soft tissue structures such as collateral ligaments and tendons. Radiographic evaluation represents the most standardized method to quantify disease progression, with different systems having been developed for defining and grading radiographic features. This current concepts article examines the recent knowledge base regarding the etiology, pathogenesis, and evaluation of osteoarthritis of the distal interphalangeal joint.
Collapse
|
36
|
Kerkhof HJM, Meulenbelt I, Carr A, Gonzalez A, Hart D, Hofman A, Kloppenburg M, Lane NE, Loughlin J, Nevitt MC, Pols HAP, Rivadeneira F, Slagboom EP, Spector TD, Stolk L, Tsezou A, Uitterlinden AG, Valdes AM, van Meurs JBJ. Common genetic variation in the Estrogen Receptor Beta (ESR2) gene and osteoarthritis: results of a meta-analysis. BMC Med Genet 2010; 11:164. [PMID: 21080949 PMCID: PMC2997092 DOI: 10.1186/1471-2350-11-164] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/12/2010] [Accepted: 11/16/2010] [Indexed: 11/10/2022]
Abstract
BACKGROUND The objective of this study was to examine the relationship between common genetic variation of the ESR2 gene and osteoarthritis. METHODS In the discovery study, the Rotterdam Study-I, 7 single nucleotide polymorphisms (SNPs) were genotyped and tested for association with hip (284 cases, 2772 controls), knee (665 cases, 2075 controls), and hand OA (874 cases, 2184 controls) using an additive model. In the replication stage one SNP (rs1256031) was tested in an additional 2080 hip, 1318 knee and 557 hand OA cases and 4001, 2631 and 1699 controls respectively. Fixed- and random-effects meta-analyses were performed over the complete dataset including 2364 hip, 1983 knee and 1431 hand OA cases and approximately 6000 controls. RESULTS The C allele of rs1256031 was associated with a 36% increased odds of hip OA in women of the Rotterdam Study-I (OR 1.36, 95% CI 1.08-1.70, p = 0.009). Haplotype analysis and analysis of knee- and hand OA did not give additional information. With the replication studies, the meta-analysis did not show a significant effect of this SNP on hip OA in the total population (OR 1.06, 95% CI 0.99-1.15, p = 0.10). Stratification according to gender did not change the results. In this study, we had 80% power to detect an odds ratio of at least 1.14 for hip OA (α = 0.05). CONCLUSION This study showed that common genetic variation in the ESR2 gene is not likely to influence the risk of osteoarthritis with effects smaller than a 13% increase.
Collapse
Affiliation(s)
- Hanneke J M Kerkhof
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
37
|
Tastan OY, Maines JZ, Li Y, McKearin DM, Buszczak M. Drosophila ataxin 2-binding protein 1 marks an intermediate step in the molecular differentiation of female germline cysts. Development 2010; 137:3167-76. [PMID: 20724451 DOI: 10.1242/dev.050575] [Citation(s) in RCA: 37] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
In the Drosophila ovary, extrinsic signaling from the niche and intrinsic translational control machinery regulate the balance between germline stem cell maintenance and the differentiation of their daughters. However, the molecules that promote the continued stepwise development of ovarian germ cells after their exit from the niche remain largely unknown. Here, we report that the early development of germline cysts depends on the Drosophila homolog of the human ataxin 2-binding protein 1 (A2BP1) gene. Drosophila A2BP1 protein expression is first observed in the cytoplasm of 4-, 8- and 16-cell cysts, bridging the expression of the early differentiation factor Bam with late markers such as Orb, Rbp9 and Bruno encoded by arrest. The expression of A2BP1 is lost in bam, sans-fille (snf) and mei-P26 mutants, but is still present in other mutants such as rbp9 and arrest. A2BP1 alleles of varying strength produce mutant phenotypes that include germline counting defects and cystic tumors. Phenotypic analysis reveals that strong A2BP1 alleles disrupt the transition from mitosis to meiosis. These mutant cells continue to express high levels of mitotic cyclins and fail to express markers of terminal differentiation. Biochemical analysis reveals that A2BP1 isoforms bind to each other and associate with Bruno, a known translational repressor protein. These data show that A2BP1 promotes the molecular differentiation of ovarian germline cysts.
Collapse
Affiliation(s)
- Omür Y Tastan
- Department of Molecular Biology, University of Texas Southwestern Medical Center at Dallas, Dallas, TX 75390-9148, USA
| | | | | | | | | |
Collapse
|
38
|
Bertrand J, Cromme C, Umlauf D, Frank S, Pap T. Molecular mechanisms of cartilage remodelling in osteoarthritis. Int J Biochem Cell Biol 2010; 42:1594-601. [PMID: 20603225 DOI: 10.1016/j.biocel.2010.06.022] [Citation(s) in RCA: 51] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2010] [Revised: 06/24/2010] [Accepted: 06/25/2010] [Indexed: 01/12/2023]
Abstract
Osteoarthritis (OA) is a degenerative joint disease that is characterized primarily by progressive breakdown of articular cartilage. The loss of proteoglycans, the mineralization of the extracellular matrix (ECM) and the hypertrophic differentiation of the chondrocytes constitute hallmarks of the disease. The pathogenesis of OA includes several pathways, which in single are very well investigated and partly understood, but in their complex interplay remain mainly unclear. This review summarises recent data on the underlying mechanisms, specifically with respect to cell-matrix interactions and cartilage mineralization. It points out why these findings are of importance for future OA research and for the development of novel therapeutic strategies to treat OA.
Collapse
Affiliation(s)
- Jessica Bertrand
- Institute of Experimental Musculoskeletal Medicine IEMM, University Hospital Muenster, Muenster, Germany
| | | | | | | | | |
Collapse
|
39
|
Vargiolu M, Silvestri T, Bonora E, Dolzani P, Pulsatelli L, Addimanda O, Mancarella L, Punzi L, Fioravanti A, Facchini A, Romeo G, Meliconi R. Interleukin-4/interleukin-4 receptor gene polymorphisms in hand osteoarthritis. Osteoarthritis Cartilage 2010; 18:810-6. [PMID: 20219689 DOI: 10.1016/j.joca.2010.02.005] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/18/2009] [Revised: 01/25/2010] [Accepted: 02/09/2010] [Indexed: 02/02/2023]
Abstract
OBJECTIVE IL-13/IL-4/IL-4R system has strong chondroprotective activity. We investigated polymorphisms in these genes as potential hand osteoarthritis (OA) susceptibility loci by performing a case-control association study. METHODS Eighteen common single nucleotide polymorphisms (SNPs) (nine in IL-4R, five in IL-4 and four in IL-13) were genotyped in 403 patients (380 females) with hand OA and 322 healthy controls (308 females). RESULTS Two SNPs (rs1805013 and rs1805015), mapping to the IL-4R gene, were associated with P-values of 0.0116 and 0.0305 respectively in the whole sample. As far as the non-erosive hand OA group (n=159) is concerned, the significance level of association of SNP rs1805013 is increased. After correction for multiple testing (correction for the 54 tests) the significance was not retained. None of the IL-13 SNPs analyzed showed association with hand OA. Some of the analyzed SNP within the IL-4 gene showed significant association with hand OA only when considering subgroups of patients. With respect to the CMC1 OA group, two SNPs in IL-4 (rs2243250 and rs2243274) showed association with a P-value of 0.027 and 0.018 respectively. None of these associations remained after correction for multiple testing. CONCLUSIONS The present study shows a trend to an association between non-erosive hand OA in Caucasian population and a genetic variant in the coding region of IL-4R gene. Our results, in keeping with previous data on hip OA, confirm the suggestion that IL-4/IL-4R system plays a role in OA pathogenesis. Further confirmation studies on different populations are necessary.
Collapse
Affiliation(s)
- M Vargiolu
- Unità di Genetica Medica, Policlinico Universitario S. Orsola-Malpighi, Bologna, Italy
| | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
40
|
Liu F, Wollstein A, Hysi PG, Ankra-Badu GA, Spector TD, Park D, Zhu G, Larsson M, Duffy DL, Montgomery GW, Mackey DA, Walsh S, Lao O, Hofman A, Rivadeneira F, Vingerling JR, Uitterlinden AG, Martin NG, Hammond CJ, Kayser M. Digital quantification of human eye color highlights genetic association of three new loci. PLoS Genet 2010; 6:e1000934. [PMID: 20463881 PMCID: PMC2865509 DOI: 10.1371/journal.pgen.1000934] [Citation(s) in RCA: 145] [Impact Index Per Article: 10.4] [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: 11/10/2009] [Accepted: 04/01/2010] [Indexed: 01/23/2023] Open
Abstract
Previous studies have successfully identified genetic variants in several genes associated with human iris (eye) color; however, they all used simplified categorical trait information. Here, we quantified continuous eye color variation into hue and saturation values using high-resolution digital full-eye photographs and conducted a genome-wide association study on 5,951 Dutch Europeans from the Rotterdam Study. Three new regions, 1q42.3, 17q25.3, and 21q22.13, were highlighted meeting the criterion for genome-wide statistically significant association. The latter two loci were replicated in 2,261 individuals from the UK and in 1,282 from Australia. The LYST gene at 1q42.3 and the DSCR9 gene at 21q22.13 serve as promising functional candidates. A model for predicting quantitative eye colors explained over 50% of trait variance in the Rotterdam Study. Over all our data exemplify that fine phenotyping is a useful strategy for finding genes involved in human complex traits. We measured human eye color to hue and saturation values from high-resolution, digital, full-eye photographs of several thousand Dutch Europeans. This quantitative approach, which is extremely cost-effective, portable, and time efficient, revealed that human eye color varies along more dimensions than the one represented by the blue-green-brown categories studied previously. Our work represents the first genome-wide study of quantitative human eye color. We clearly identified 3 new loci, LYST, 17q25.3, TTC3/DSCR9, in contributing to the natural and subtle eye color variation along multiple dimensions, providing new leads towards a more detailed understanding of the genetic basis of human eye color. Our quantitative prediction model explained over 50% of eye color variance, representing the highest accuracy achieved so far in genomic prediction of human complex and quantitative traits, with relevance for future forensic applications.
Collapse
Affiliation(s)
- Fan Liu
- Department of Forensic Molecular Biology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Andreas Wollstein
- Department of Forensic Molecular Biology, Erasmus University Medical Center, Rotterdam, The Netherlands
- Cologne Center for Genomics (CCG), University of Cologne, Cologne, Germany
| | - Pirro G. Hysi
- Department of Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom
| | - Georgina A. Ankra-Badu
- Department of Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom
| | - Timothy D. Spector
- Department of Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom
| | - Daniel Park
- Queensland Institute of Medical Research, Brisbane, Australia
| | - Gu Zhu
- Queensland Institute of Medical Research, Brisbane, Australia
| | - Mats Larsson
- Queensland Institute of Medical Research, Brisbane, Australia
| | - David L. Duffy
- Queensland Institute of Medical Research, Brisbane, Australia
| | | | - David A. Mackey
- Centre for Ophthalmology and Visual Science, Lions Eye Institute, University of Western Australia, Perth, Australia
| | - Susan Walsh
- Department of Forensic Molecular Biology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Oscar Lao
- Department of Forensic Molecular Biology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Albert Hofman
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Fernando Rivadeneira
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Johannes R. Vingerling
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
- Department of Ophthalmology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - André G. Uitterlinden
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | | | - Christopher J. Hammond
- Department of Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom
| | - Manfred Kayser
- Department of Forensic Molecular Biology, Erasmus University Medical Center, Rotterdam, The Netherlands
- * E-mail:
| |
Collapse
|
41
|
Zintzaras E, Kitsios GD, Ziogas DC, Rodopoulou P, Karachalios T. Field synopsis and synthesis of genetic association studies in osteoarthritis: the CUMAGAS-OSTEO information system. Am J Epidemiol 2010; 171:851-8. [PMID: 20237151 DOI: 10.1093/aje/kwq016] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023] Open
Abstract
A comprehensive and systematic assessment of the current status of genetic association studies (GAS) for osteoarthritis was conducted. Data from 327 GAS involving 187 distinct genetic variants were analyzed and cataloged in CUMAGAS-OSTEO, a Web-based information system (http://biomath.med.uth.gr) that allows the retrieval and synthesis of data from GAS on osteoarthritis. In individual studies, 66 variants (mostly single nucleotide polymorphisms) showed significant associations with osteoarthritis risk. For 19 variants, the association was significant at P < 0.01, with an increased risk greater than 30%. Only 2.4% of studies had statistical power greater than 50% to detect a modest genetic effect. Nineteen variants were investigated by 4 or more studies, and their results were subjected to meta-analysis. Significant associations were derived for 2 variants (GDF5 rs143383, LRCH1 rs912428) in the main meta-analysis and for 2 other variants (TXNDC3 rs4720262, ESR1 rs2234693) in subgroup analysis by ethnicity or osteoarthritic body site. Heterogeneity ranged from none to high. In general, there was consistency of genetic effects across ethnic groups and body sites, and there was no differential magnitude of effect in large studies versus small studies. CUMAGAS-OSTEO may be a useful tool for identifying pertinent gene-osteoarthritis associations and providing an updated summary of risk effects.
Collapse
Affiliation(s)
- Elias Zintzaras
- Department of Biomathematics, University of Thessaly School of Medicine, 2 Panepistimiou Street, Biopolis, Larissa 41110, Greece.
| | | | | | | | | |
Collapse
|
42
|
Joshita S, Umemura T, Yoshizawa K, Katsuyama Y, Tanaka E, Ota M. A2BP1 as a novel susceptible gene for primary biliary cirrhosis in Japanese patients. Hum Immunol. 2010;71:520-524. [PMID: 20153395 DOI: 10.1016/j.humimm.2010.02.009] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2009] [Revised: 02/01/2010] [Accepted: 02/04/2010] [Indexed: 12/26/2022]
Abstract
Primary biliary cirrhosis (PBC) is a complex autoimmune liver disease with an etiology that remains to be conclusively elucidated. As such, we screened the human genome for genes that might influence PBC susceptibility or resistance using 400 microsatellite markers. A strong candidate gene indicated by susceptibility microsatellite markers was further evaluated by association analysis using single nucleotide polymorphisms (SNPs). A total of 126 patients with PBC and 95 healthy Japanese controls were enrolled. Four candidate susceptible regions and seven candidate protective regions were statistically associated with PBC. Because the D16S423 marker on chromosome 16p showed the strongest evidence of linkage, the protein-coding gene ataxin 2-binding protein 1 (A2BP1) lying 27 kb on the centromeric side of D16S423 was targeted as a candidate susceptible gene. Seven SNPs (rs17139207, rs12926282, rs17139244, rs6500742, rs4146812, rs4124065, and rs889699) in the A2BP1 gene were genotyped in patients and controls. The rs17139244 SNP was found to be weakly associated with PBC in an additive model. The genotype frequency of the major C allele at rs6500742 was significantly associated with PBC, compared with healthy controls. This study showed a total of 11 candidate PBC susceptibility or resistance regions. In particular, the A2BP1 gene might play a pivotal role for susceptibility to PBC.
Collapse
|
43
|
Abstract
Osteoarthritis (OA) is a polygenic disease with a definite genetic component, and recent advances in genome research have enabled us to investigate OA susceptibility genes. Several research groups, including ours, have reported the identification of OA susceptibility genes, mainly using candidate gene association studies. However, we are now entering the era of genome-wide association studies (GWAS). Here, we review recent progress in the study of susceptibility genes for OA, focusing in particular on GWAS and large-scale replication studies.
Collapse
|