Genome-wide meta-analysis identifies novel multiple sclerosis susceptibility loci

NA Patsopoulos; F Esposito; J Reischl; S Lehr; D Bauer; J Heubach; R Sandbrink; C Pohl; G Edan; L Kappos; D Miller; J Montalbán; CH Polman; MS Freedman; HP Hartung; BGW Arnason; G Comi; S Cook; M Filippi; DS Goodin; D Jeffery; P O'Connor; GC Ebers; D Langdon; AT Reder; A Traboulsee; F Zipp; S Schimrigk; J Hillert; M Bahlo; DR Booth; S Broadley; MA Brown; BL Browning; SR Browning; H Butzkueven; WM Carroll; C Chapman; SJ Foote; L Griffiths; AG Kermode; TJ Kilpatrick; J Lechner-Scott; M Marriott; D Mason; P Moscato; RN Heard; MP Pender; VM Perreau; D Perera; JP Rubio; RJ Scott; M Slee; J Stankovich; GJ Stewart; BV Taylor; N Tubridy; E Willoughby; J Wiley; P Matthews; FM Boneschi; A Compston; J Haines; SL Hauser; J McCauley; A Ivinson; JR Oksenberg; M Pericak-Vance; SJ Sawcer; PL De Jager; DA Hafler; PIW de Bakker

Journal article

Genome-wide meta-analysis identifies novel multiple sclerosis susceptibility loci

NA Patsopoulos, F Esposito, J Reischl, S Lehr, D Bauer, J Heubach, R Sandbrink, C Pohl, G Edan, L Kappos, D Miller, J Montalbán, CH Polman, MS Freedman, HP Hartung, BGW Arnason, G Comi, S Cook, M Filippi, DS Goodin Show all

Annals of Neurology | Published : 2011

DOI: 10.1002/ana.22609

Abstract

Objective: To perform a 1-stage meta-analysis of genome-wide association studies (GWAS) of multiple sclerosis (MS) susceptibility and to explore functional consequences of new susceptibility loci. Methods: We synthesized 7 MS GWAS. Each data set was imputed using HapMap phase II, and a per single nucleotide polymorphism (SNP) meta-analysis was performed across the 7 data sets. We explored RNA expression data using a quantitative trait analysis in peripheral blood mononuclear cells (PBMCs) of 228 subjects with demyelinating disease. Results: We meta-analyzed 2,529,394 unique SNPs in 5,545 cases and 12,153 controls. We identified 3 novel susceptibility alleles: rs170934 T at 3p24.1 (odds ratio..

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University of Melbourne Researchers

Melanie Bahlo Author

Trevor Kilpatrick Author

Vicky Perreau Author

Judith Field Author

Related Projects (1)

Identifying genes that influence clinical course and susceptibility in multiple sclerosis

This project aims to identify the genetic basis of multiple sclerosis (MS), the most common neurologic disease in young Australian adults. M..

Grants

Awarded by National Institute of Mental Health

Funding Acknowledgements

Philip L. De Jager is a Harry Weaver Neuroscience Scholar Award Recipient of the National MS Society. This project was also supported in part by R01 NS067305 and RC2 NS070340 from NIH, Multiple Sclerosis Research Australia, John T. Reid Charitable Trusts, Trish MS Research Foundation, and the Australian Research Council, under the Linkage Projects Scheme (LP0776744).We thank the subjects with MS who have generously donated DNA samples for theses studies; individuals with MS in Australia and New Zealand for supporting this research; J. Wright and C. Remediakis for expediting this research; the International MS Genetics Consortium for the use of genotype data; and the Myocardial Infarction Genetics Consortium (MIGen) study for the use of their genotype data as control data in our study. The MIGen study was funded by the NIH National Heart, Lung, and Blood Institute's STAMPEED genomics research program and a grant from the National Center for Research Resources. We acknowledge use of genotype data from the British 1958 Birth Cohort DNA collection, funded by the Medical Research Council grant G0000934 and the Wellcome Trust grant 068545/Z/02.