Frontiers in Neurology (Jan 2020)

Whole Exome Sequencing Study of Parkinson Disease and Related Endophenotypes in the Italian Population

  • Alessandro Gialluisi,
  • Mafalda Giovanna Reccia,
  • Alfonsina Tirozzi,
  • Teresa Nutile,
  • Alessia Lombardi,
  • Claudia De Sanctis,
  • International Parkinson's Disease Genomic Consortium (IPDGC),
  • Sara Varanese,
  • Sara Pietracupa,
  • Nicola Modugno,
  • Antonio Simeone,
  • Marina Ciullo,
  • Marina Ciullo,
  • Teresa Esposito,
  • Teresa Esposito

DOI
https://doi.org/10.3389/fneur.2019.01362
Journal volume & issue
Vol. 10

Abstract

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Parkinson Disease (PD) is a complex neurodegenerative disorder characterized by large genetic heterogeneity and missing heritability. Since the genetic background of PD can partly vary among ethnicities and neurological scales have been scarcely investigated in a PD setting, we performed an exploratory Whole Exome Sequencing (WES) analysis of 123 PD patients from mainland Italy, investigating scales assessing motor (UPDRS), cognitive (MoCA), and other non-motor symptoms (NMS). We performed variant prioritization, followed by targeted association testing of prioritized variants in 446 PD cases and 211 controls. Then we ran Exome-Wide Association Scans (EWAS) within sequenced PD cases (N = 113), testing both motor and non-motor PD endophenotypes, as well as their associations with Polygenic Risk Scores (PRS) influencing brain subcortical volumes. We identified a variant associated with PD, rs201330591 in GTF2H2 (5q13; alternative T allele: OR [CI] = 8.16[1.08; 61.52], FDR = 0.048), which was not replicated in an independent cohort of European ancestry (1,148 PD cases, 503 controls). In the EWAS, polygenic analyses revealed statistically significant multivariable associations of amygdala- [β(SE) = −0.039(0.013); FDR = 0.039] and caudate-PRS [0.043(0.013); 0.028] with motor symptoms. All subcortical PRSs in a multivariable model notably increased the variance explained in motor (adjusted-R2 = 38.6%), cognitive (32.2%) and other non-motor symptoms (28.9%), compared to baseline models (~20%). Although, the small sample size warrants further replications, these findings suggest shared genetic architecture between PD symptoms and subcortical structures, and provide interesting clues on PD genetic and neuroimaging features.

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