Assessment of Parkinson's disease risk loci in Greece

Eleanna Kara, Georgia Xiromerisiou, Cleanthe Spanaki, Maria Bozi, Georgios Koutsis, Marios Panas, Efthimios Dardiotis, Styliani Ralli, Jose Bras, Christopher Letson, Connor Edsall, Hannah Pliner, Sampath Arepalli, Kallirhoe Kalinderi, Liana Fidani, Sevasti Bostantjopoulou, Margaux F. Keller, Nicholas W. Wood, John Hardy, Henry HouldenLeonidas Stefanis, Andreas Plaitakis, Dena Hernandez, Georgios M. Hadjigeorgiou, Mike A. Nalls, Andrew B. Singleton

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

Abstract

Genome-wide association studies (GWAS) have been shown to be a powerful approach to identify risk loci for neurodegenerative diseases. Recent GWAS in Parkinson's disease (PD) have been successful in identifying numerous risk variants pointing to novel pathways potentially implicated in the pathogenesis of PD. Contributing to these GWAS efforts, we performed genotyping of previously identified risk alleles in PD patients and control subjects from Greece. We showed that previously published risk profiles for Northern European and American populations are also applicable to the Greek population. In addition, although our study was largely underpowered to detect individual associations, we replicated 5 of 32 previously published risk variants with nominal p values <0.05. Genome-wide complex trait analysis revealed that known risk loci explain disease risk in 1.27% of Greek PD patients. Collectively, these results indicate that there is likely a substantial genetic component to PD in Greece, similarly to other worldwide populations, that remains to be discovered.

Original languageEnglish
Pages (from-to)442.e9-442.e16
JournalNeurobiology of Aging
Volume35
Issue number2
DOIs
StatePublished - Feb 2014
Externally publishedYes

Keywords

  • GCTA
  • GWAS
  • Genetics
  • Greece
  • Parkinson's disease
  • Risk profiles

Fingerprint

Dive into the research topics of 'Assessment of Parkinson's disease risk loci in Greece'. Together they form a unique fingerprint.

Cite this