Large-scale meta-analysis of genome-wide association data identifies six new risk loci for Parkinson’s disease

@inproceedings{Nalls2014LargescaleMO,
  title={Large-scale meta-analysis of genome-wide association data identifies six new risk loci for Parkinson’s disease},
  author={M. Nalls and Nathan Pankratz and Christina M. Lill and Chuong B. Do and D. Garza Hernandez and Mohamad Hazman Jazimin Saad and Anita L. DeStefano and Eleanna Kara and Jose T Bras and Manu Dev Sharma and Claudia Schulte and Margaux F. Keller and Sampath Arepalli and Christopher Letson and Connor Edsall and Hreinn Stef{\'a}nsson and Xinmin Liu and Hannah A. Pliner and Joseph H Lee and Rong Zhu. Cheng and Mohammad A Ikram and John Ioannidis and Georgios M Hadjigeorgiou and Joshua C Bis and Maria Carmen Mart{\'i}nez and Joel S. Perlmutter and Alison M. Goate and Karen S. Marder and Brian K. Fiske and Margaret Millen Jeffs Sutherland and Georgia Xiromerisiou and Richard H. Myers and Lorraine N. Clark and K{\'a}ri Stef{\'a}nsson and John Hardy and Peter Heutink and Honglei Chen and Nicholas W. Wood and Henry Houlden and Haydeh Payami and Alexis Brice and William K. Scott and Thomas Gasser and Lars Bertram and Nicholas Eriksson and Tatiana Foroud and Andrew B. Singleton},
  booktitle={Nature Genetics},
  year={2014}
}
We 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. Twenty-six loci were identified as having genome-wide significant association; these and 6 additional previously reported loci were then tested in an independent set of 5,353 cases and 5,551 controls. Of the 32 tested SNPs, 24 replicated, including 6 newly identified loci. Conditional analyses within loci showed that four loci… CONTINUE READING
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