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Parkinsonism & related disorders · 2022

Genetic stratification of motor and QoL outcomes in Parkinson's disease in the EARLYSTIM study.

СтатьяПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод пока не подготовлен
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Weiss Daniel, Landoulsi Zied, May Patrick, Sharma Manu, Schüpbach Michael, You Hana, Corvol Jean Christophe, Paschen Steffen, Helmers Ann-Kristin, Barbe Michael, Fink Gereon, Kühn Andrea A, Courbon Christine Brefel, Wojtecki Lars, Damier Philippe, Fraix Valerie, Houeto Jean-Luc, Regis Jean, Sixel-Döring Friederike, Pinsker Marcus O, Thobois Stephane, Gharabaghi Alireza, Stoker Valerie, Timmermann Lars, Schnitzler Alfons, Krack Paul, Vidailhet Marie, Deuschl Günther, Krüger Rejko

Аннотация

PURPOSE: The decision for subthalamic deep brain stimulation (STN-DBS) in Parkinson's disease (PD) relies on clinical predictors. Whether genetic variables could predict favourable or unfavourable decisions is under investigation.

OBJECTIVE: First, we aimed to reproduce the previous observation that SNCA rs356220 was associated with favourable STN-DBS motor response. In additional exploratory analyses, we studied if other PD risk and progression variants from the latest GWAS are associated with therapeutic outcome. Further, we evaluated the predictive value of polygenic risk scores.

METHODS: We comprehensively genotyped patients from the EarlyStim cohort using NeuroChip, and assessed the clinico-genetic associations with longitudinal outcome parameters.

RESULTS: The SNCA rs356220 variant did not predict UPDRS III outcomes. However, it was associated with quality of life improvement in secondary analyses. Several polymorphisms from previously identified GWAS hits predicted motor or quality of life outcomes in DBS patients. Polygenic risk scores did not predict any outcome parameter.

CONCLUSIONS: Our findings support the hypothesis that different common genetic markers are associated with favourable quality of life outcomes of STN-DBS in PD. These findings can be the basis for further validation in larger and independent cohorts.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты