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Baseline genetic associations in the Parkinson's Progression Markers Initiative (PPMI).
Nalls, Mike A; Keller, Margaux F; Hernandez, Dena G; Chen, Lan; Stone, David J; Singleton, Andrew B.
Afiliación
  • Nalls MA; Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA.
  • Keller MF; Genetics and Pharmacogenomics, Merck Research Laboratories, West Point, Pennsylvania, USA.
  • Hernandez DG; Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA.
  • Chen L; Genetics and Pharmacogenomics, Merck Research Laboratories, West Point, Pennsylvania, USA.
  • Stone DJ; Genetics and Pharmacogenomics, Merck Research Laboratories, West Point, Pennsylvania, USA.
  • Singleton AB; Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA.
Mov Disord ; 31(1): 79-85, 2016 Jan.
Article en En | MEDLINE | ID: mdl-26268663
ABSTRACT

BACKGROUND:

The Parkinson's Progression Marker Initiative is an international multicenter study whose main goal is investigating markers for Parkinson's disease (PD) progression as part of a path to a treatment for the disease. This manuscript describes the baseline genetic architecture of this study, providing not only a catalog of disease-linked variants and mutations, but also quantitative measures with which to adjust for population structure.

METHODS:

Three hundred eighty-three newly diagnosed typical PD cases, 65 atypical PD and 178 healthy controls, from the Parkinson's Progression Marker Initiative study have been genotyped on the NeuroX or Immunochip arrays. These data are freely available to all researchers interested in pursuing PD research within the Parkinson's Progression Marker Initiative.

RESULTS:

The Parkinson's Progression Marker Initiative represents a study population with low genetic heterogeneity. We recapitulate known PD associations from large-scale genome-wide association studies and refine genetic risk score models for PD predictability (area under the curve, ∼0.74). We show the presence of six LRRK2 p.G2019S and nine GBA p.N370S mutation carriers.

CONCLUSIONS:

The Parkinson's Progression Marker Initiative study and its genetic data are useful in studies of PD biomarkers. The genetic architecture described here will be useful in the analysis of myriad biological and clinical traits within this study.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Enfermedad de Parkinson / Proteínas Serina-Treonina Quinasas / Progresión de la Enfermedad / Predisposición Genética a la Enfermedad / Glucosilceramidasa / Mutación Tipo de estudio: Clinical_trials / Prognostic_studies / Risk_factors_studies / Systematic_reviews Límite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Mov Disord Asunto de la revista: NEUROLOGIA Año: 2016 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Enfermedad de Parkinson / Proteínas Serina-Treonina Quinasas / Progresión de la Enfermedad / Predisposición Genética a la Enfermedad / Glucosilceramidasa / Mutación Tipo de estudio: Clinical_trials / Prognostic_studies / Risk_factors_studies / Systematic_reviews Límite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Mov Disord Asunto de la revista: NEUROLOGIA Año: 2016 Tipo del documento: Article País de afiliación: Estados Unidos