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Genetic and epidemiological study of hip and knee osteoarthritis

Abstract

Osteoarthritis (OA) is the most frequently chronic joint disease worldwide and it is the most prevalent rheumatic disease in Brazil. Until date, the only available and effective treatment is joint replacement. In the last years, metabolic traits (diabetes, BMI, and cholesterol, among others) and genetic variants have emerged as important risk factors for OA. Despite progress in genetics study of the disease: 16 polymorphisms have been found associated (6 of my research), discovery only account for 10% of the genetic component of OA. Our study aims to identify genetic and metabolic causes of OA in the Brazilian population. Methods: We collected data from 700 patients older than 35 years old with admissions for joint complaints and diagnoses of hip and/or knee OA in Hospital São Vicente de Jundiaí. Data from medical records included history of diabetes, cholesterol, comorbidities, laboratory exams and medication. Interview includes assessment of pain, disability and BMI, between others. Blood samples from patients with family history of OA (at least two affected siblings with clinical- hip and/or knee OA) were collected. Additional siblings and living parents from qualifying families, both affected and unaffected, will be invited to participate. DNA will be extracted and samples will be sent for exome sequencing and parametric linkage (within the families). Mutations (common, rare and low frequency variants) and will be analysed using PLINK. Linkage analysis will be developed under a parametric model using Merlin. Epidemiological and genetic association will be verified with generalized linear model, pedigree analysis, multiple- and logistic-regression for continuous and dichotomous variables. Replication efforts might be carried out in the CPMC Research Institute from the University of California (UCSF) and Genetics Laboratory from Eramus Universiteit (Holanda). (AU)

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Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
CASTANO BETANCOURT, MARTHA CECILIA; MORAIS, CAROLINA LARISSA; NUNES LIPAY, MONICA VANNUCCI; ARAGAO, JORDANI; MUNHOZ, MARCELO DE AZEVEDO E SOUZA; MACHADO, EDUARDO GOMES; MARCHI, EVALDO. Gender differences in the effect of diabetes mellitus and its treatment on osteoarthritic pain. BMJ OPEN DIABETES RESEARCH & CARE, v. 7, n. 1 OCT 2019. Web of Science Citations: 0.
CASTANO-BETANCOURT, MARTHA CECILIA; ANNICHINO, RICARDO FRUSCHEIN; DE AZEVEDO E SOUZA MUNHOZ, MARCELO; MACHADO, EDUARDO GOMES; LIPAY, MONICA VANNUCCI; MARCHI, EVALDO. Identification of high-risk groups for complication after arthroplasty: predictive value of patient's related risk factors. JOURNAL OF ORTHOPAEDIC SURGERY AND RESEARCH, v. 13, DEC 29 2018. Web of Science Citations: 4.

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