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Juan A. Botía

Researcher at University of Murcia

Publications -  182
Citations -  4518

Juan A. Botía is an academic researcher from University of Murcia. The author has contributed to research in topics: Gene & Context (language use). The author has an hindex of 25, co-authored 162 publications receiving 3017 citations. Previous affiliations of Juan A. Botía include Middlesex University & King's College London.

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Identification of novel risk loci, causal insights, and heritable risk for Parkinson's disease: a meta-analysis of genome-wide association studies

Mike A. Nalls, +248 more
- 01 Dec 2019 - 
TL;DR: These data provide the most comprehensive survey of genetic risk within Parkinson's disease to date, providing a biological context for these risk factors, and showing that a considerable genetic component of this disease remains unidentified.
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Structural brain abnormalities in the common epilepsies assessed in a worldwide ENIGMA study.

Christopher D. Whelan, +105 more
- 01 Feb 2018 - 
TL;DR: In the largest neuroimaging study to date, Whelan and colleagues report robust structural alterations across and within epilepsy syndromes, including shared volume loss in the thalamus, and widespread cortical thickness differences.
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An additional k-means clustering step improves the biological features of WGCNA gene co-expression networks

TL;DR: The results obtained from investigations indicate that the k-means method, applied as an adjunct to standard WGCNA, results in better network partitions, which enable more fruitful downstream analyses, as gene modules are more biologically meaningful.
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Ambient Assisted Living system for in-home monitoring of healthy independent elders

TL;DR: One of the main contributions of the proposed work is an exhaustive evaluation methodology that is integrated in the development process that is related with the capability of the system to adapt its behavior to that of the monitored elder.
Posted ContentDOI

Expanding Parkinson’s disease genetics: novel risk loci, genomic context, causal insights and heritable risk

Mike A. Nalls, +65 more
- 04 Mar 2019 - 
TL;DR: These data provide the most comprehensive understanding of the genetic architecture of PD to date by revealing many additional PD risk loci, providing a biological context for these risk factors, and demonstrating that a considerable genetic component of this disease remains unidentified.