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Manu Sharma

Researcher at University of Tübingen

Publications -  130
Citations -  18955

Manu Sharma is an academic researcher from University of Tübingen. The author has contributed to research in topics: Genome-wide association study & Single-nucleotide polymorphism. The author has an hindex of 54, co-authored 113 publications receiving 15039 citations. Previous affiliations of Manu Sharma include University of Texas Southwestern Medical Center & University of Toronto.

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Genome-wide association study reveals genetic risk underlying Parkinson's disease

TL;DR: It is demonstrated that an unequivocal role for common genetic variants in the etiology of typical PD and population-specific genetic heterogeneity in this disease is suggested, and supporting evidence that common variation around LRRK2 modulates risk for PD is provided.
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Large-scale meta-analysis of genome-wide association data identifies six new risk loci for Parkinson's disease

TL;DR: This article conducted a meta-analysis of Parkinson's disease genome-wide association studies using a common set of 7,893,274 variants across 13,708 cases and 95,282 controls.
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Multicenter Analysis of Glucocerebrosidase Mutations in Parkinson's Disease

Ellen Sidransky, +75 more
TL;DR: Data collected demonstrate that there is a strong association between GBA mutations and Parkinson's disease, and those with a GBA mutation presented earlier with the disease, were more likely to have affected relatives, and were morelikely to have atypical clinical manifestations.
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α-Synuclein promotes SNARE-complex assembly in vivo and in vitro

TL;DR: It is shown that maintenance of continuous presynaptic SNARE-complex assembly required a nonclassical chaperone activity mediated by synucleins, which suggests that α-synuclein maintains normal synaptic function during aging.
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Analysis of shared heritability in common disorders of the brain

Verneri Anttila, +720 more
- 22 Jun 2018 - 
TL;DR: It is demonstrated that, in the general population, the personality trait neuroticism is significantly correlated with almost every psychiatric disorder and migraine, and it is shown that both psychiatric and neurological disorders have robust correlations with cognitive and personality measures.