Literature DB >> 23223016

A pathway-based analysis provides additional support for an immune-related genetic susceptibility to Parkinson's disease.

Peter Holmans1, Valentina Moskvina, Lesley Jones, Manu Sharma, Alexey Vedernikov, Finja Buchel, Mohamad Saad, Mohamad Sadd, Jose M Bras, Francesco Bettella, Nayia Nicolaou, Javier Simón-Sánchez, Florian Mittag, J Raphael Gibbs, Claudia Schulte, Alexandra Durr, Rita Guerreiro, Dena Hernandez, Alexis Brice, Hreinn Stefánsson, Kari Majamaa, Thomas Gasser, Peter Heutink, Nicholas W Wood, Maria Martinez, Andrew B Singleton, Michael A Nalls, John Hardy, Huw R Morris, Nigel M Williams.   

Abstract

Parkinson's disease (PD) is the second most common neurodegenerative disease affecting 1-2% in people >60 and 3-4% in people >80. Genome-wide association (GWA) studies have now implicated significant evidence for association in at least 18 genomic regions. We have studied a large PD-meta analysis and identified a significant excess of SNPs (P < 1 × 10(-16)) that are associated with PD but fall short of the genome-wide significance threshold. This result was independent of variants at the 18 previously implicated regions and implies the presence of additional polygenic risk alleles. To understand how these loci increase risk of PD, we applied a pathway-based analysis, testing for biological functions that were significantly enriched for genes containing variants associated with PD. Analysing two independent GWA studies, we identified that both had a significant excess in the number of functional categories enriched for PD-associated genes (minimum P = 0.014 and P = 0.006, respectively). Moreover, 58 categories were significantly enriched for associated genes in both GWA studies (P < 0.001), implicating genes involved in the 'regulation of leucocyte/lymphocyte activity' and also 'cytokine-mediated signalling' as conferring an increased susceptibility to PD. These results were unaltered by the exclusion of all 178 genes that were present at the 18 genomic regions previously reported to be strongly associated with PD (including the HLA locus). Our findings, therefore, provide independent support to the strong association signal at the HLA locus and imply that the immune-related genetic susceptibility to PD is likely to be more widespread in the genome than previously appreciated.

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Year:  2012        PMID: 23223016      PMCID: PMC3561909          DOI: 10.1093/hmg/dds492

Source DB:  PubMed          Journal:  Hum Mol Genet        ISSN: 0964-6906            Impact factor:   6.150


  46 in total

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4.  Genome-wide association study confirms extant PD risk loci among the Dutch.

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Journal:  Hum Mol Genet       Date:  2010-10-11       Impact factor: 6.150

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Authors:  Lesley Jones; Peter A Holmans; Marian L Hamshere; Denise Harold; Valentina Moskvina; Dobril Ivanov; Andrew Pocklington; Richard Abraham; Paul Hollingworth; Rebecca Sims; Amy Gerrish; Jaspreet Singh Pahwa; Nicola Jones; Alexandra Stretton; Angharad R Morgan; Simon Lovestone; John Powell; Petroula Proitsi; Michelle K Lupton; Carol Brayne; David C Rubinsztein; Michael Gill; Brian Lawlor; Aoibhinn Lynch; Kevin Morgan; Kristelle S Brown; Peter A Passmore; David Craig; Bernadette McGuinness; Stephen Todd; Clive Holmes; David Mann; A David Smith; Seth Love; Patrick G Kehoe; Simon Mead; Nick Fox; Martin Rossor; John Collinge; Wolfgang Maier; Frank Jessen; Britta Schürmann; Reinhard Heun; Heike Kölsch; Hendrik van den Bussche; Isabella Heuser; Oliver Peters; Johannes Kornhuber; Jens Wiltfang; Martin Dichgans; Lutz Frölich; Harald Hampel; Michael Hüll; Dan Rujescu; Alison M Goate; John S K Kauwe; Carlos Cruchaga; Petra Nowotny; John C Morris; Kevin Mayo; Gill Livingston; Nicholas J Bass; Hugh Gurling; Andrew McQuillin; Rhian Gwilliam; Panos Deloukas; Ammar Al-Chalabi; Christopher E Shaw; Andrew B Singleton; Rita Guerreiro; Thomas W Mühleisen; Markus M Nöthen; Susanne Moebus; Karl-Heinz Jöckel; Norman Klopp; H-Erich Wichmann; Eckhard Rüther; Minerva M Carrasquillo; V Shane Pankratz; Steven G Younkin; John Hardy; Michael C O'Donovan; Michael J Owen; Julie Williams
Journal:  PLoS One       Date:  2010-11-15       Impact factor: 3.240

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