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Genetic underpinning of the comorbidity between type 2 diabetes and osteoarthritis.
Arruda, Ana Luiza; Hartley, April; Katsoula, Georgia; Smith, George Davey; Morris, Andrew P; Zeggini, Eleftheria.
Afiliação
  • Arruda AL; Institute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, 85764 Neuherberg, Germany; Munich School of Data Science, Helmholtz Zentrum München - German Research Center for Environmental Health, 85764 Neuherberg, Germany; Technical University of
  • Hartley A; MRC Integrative Epidemiology Unit, University of Bristol, BS8 2BN Bristol, UK.
  • Katsoula G; Institute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, 85764 Neuherberg, Germany; Technical University of Munich (TUM), School of Medicine, Graduate School of Experimental Medicine, 81675 Munich, Germany.
  • Smith GD; MRC Integrative Epidemiology Unit, University of Bristol, BS8 2BN Bristol, UK.
  • Morris AP; Institute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, 85764 Neuherberg, Germany; Centre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, The University of Manchester, M13 9PT Manchester, UK.
  • Zeggini E; Institute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, 85764 Neuherberg, Germany; TUM School of Medicine, Technical University Munich and Klinikum Rechts der Isar, 81675 Munich, Germany. Electronic address: eleftheria.zeggini@helmholtz-munic
Am J Hum Genet ; 110(8): 1304-1318, 2023 08 03.
Article em En | MEDLINE | ID: mdl-37433298
ABSTRACT
Multimorbidity is a rising public health challenge with important implications for health management and policy. The most common multimorbidity pattern is the combination of cardiometabolic and osteoarticular diseases. Here, we study the genetic underpinning of the comorbidity between type 2 diabetes and osteoarthritis. We find genome-wide genetic correlation between the two diseases and robust evidence for association-signal colocalization at 18 genomic regions. We integrate multi-omics and functional information to resolve the colocalizing signals and identify high-confidence effector genes, including FTO and IRX3, which provide proof-of-concept insights into the epidemiologic link between obesity and both diseases. We find enrichment for lipid metabolism and skeletal formation pathways for signals underpinning the knee and hip osteoarthritis comorbidities with type 2 diabetes, respectively. Causal inference analysis identifies complex effects of tissue-specific gene expression on comorbidity outcomes. Our findings provide insights into the biological basis for the type 2 diabetes-osteoarthritis disease co-occurrence.
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Osteoartrite / Diabetes Mellitus Tipo 2 Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Am J Hum Genet Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Osteoartrite / Diabetes Mellitus Tipo 2 Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Am J Hum Genet Ano de publicação: 2023 Tipo de documento: Article