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Association between Type 1 Diabetes Mellitus and Parkinson's Disease: A Mendelian Randomization Study.
Mai, Aaron Shengting; Tan, Brendan Jen-Wei; Sun, Qiao-Yang; Tan, Eng-King.
Afiliación
  • Mai AS; Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore.
  • Tan BJ; Department of Neurology, Singapore General Hospital Campus, National Neuroscience Institute, Singapore 308433, Singapore.
  • Sun QY; Department of Neurology, Singapore General Hospital Campus, National Neuroscience Institute, Singapore 308433, Singapore.
  • Tan EK; Department of Neurology, Singapore General Hospital Campus, National Neuroscience Institute, Singapore 308433, Singapore.
J Clin Med ; 13(2)2024 Jan 18.
Article en En | MEDLINE | ID: mdl-38256693
ABSTRACT
While much evidence suggests that type 2 diabetes mellitus increases the risk of Parkinson's disease (PD), the relationship between type 1 diabetes mellitus (T1DM) and PD is unclear. To study their association, we performed a two-sample Mendelian randomization (MR) using the following statistical

methods:

inverse variance weighting (IVW), MR-Egger, weight median, and weighted mode. Independent datasets with no sample overlap were retrieved from the IEU GWAS platform. All the MR methods found a lower risk of PD in T1DM (IVW-OR 0.93, 95% CI 0.91-0.96, p = 3.12 × 10-5; MR-Egger-OR 0.93, 95% CI 0.88-0.98, p = 1.45 × 10-2; weighted median-OR 0.93, 95% CI 0.89-0.98, p = 2.76 × 10-3; and weighted mode-OR 0.94, 95% CI 0.9-0.98, p = 1.58 × 10-2). The findings were then replicated with another independent GWAS dataset on T1DM (IVW-OR 0.97, 95% CI 0.95-0.99, p = 3.10 × 10-3; MR-Egger-OR 0.96, 95% CI 0.93-0.99, p = 1.08 × 10-2; weighted median-OR 0.97, 95% CI 0.94-0.99, p = 1.88 × 10-2; weighted mode-OR 0.97, 95% CI 0.94-0.99, p = 1.43 × 10-2). Thus, our study provides evidence that T1DM may have a protective effect on PD risk, though further studies are needed to clarify the underlying mechanisms.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Clinical_trials / Risk_factors_studies Idioma: En Revista: J Clin Med Año: 2024 Tipo del documento: Article País de afiliación: Singapur Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Clinical_trials / Risk_factors_studies Idioma: En Revista: J Clin Med Año: 2024 Tipo del documento: Article País de afiliación: Singapur Pais de publicación: Suiza