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


ABSTRACT: 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.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.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 [OR], 1.17; p = 1.6 × 10(-8)) near EOMES, rs2150702(G) in the second intron of MLANA on chromosome 9p24.1 (OR, 1.16; p = 3.3 × 10(-8)), and rs6718520(A) in an intergenic region on chromosome 2p21, with THADA as the nearest flanking gene (OR, 1.17; p = 3.4 × 10(-8)). The 3 new loci do not have a strong cis effect on RNA expression in PBMCs. Ten other susceptibility loci had a suggestive p < 1 × 10(-6) , some of these loci have evidence of association in other inflammatory diseases (ie, IL12B, TAGAP, PLEK, and ZMIZ1).We have performed a meta-analysis of GWAS in MS that more than doubles the size of previous gene discovery efforts and highlights 3 novel MS susceptibility loci. These and additional loci with suggestive evidence of association are excellent candidates for further investigations to refine and validate their role in the genetic architecture of MS.

SUBMITTER: Patsopoulos NA 

PROVIDER: S-EPMC3247076 | biostudies-literature | 2011 Dec

REPOSITORIES: biostudies-literature

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

Patsopoulos Nikolaos A NA   Esposito Federica F   Reischl Joachim J   Lehr Stephan S   Bauer David D   Heubach Jürgen J   Sandbrink Rupert R   Pohl Christoph C   Edan Gilles G   Kappos Ludwig L   Miller David D   Montalbán Javier J   Polman Chris H CH   Freedman Mark S MS   Hartung Hans-Peter HP   Arnason Barry G W BG   Comi Giancarlo G   Cook Stuart S   Filippi Massimo M   Goodin Douglas S DS   Jeffery Douglas D   O'Connor Paul P   Ebers George C GC   Langdon Dawn D   Reder Anthony T AT   Traboulsee Anthony A   Zipp Frauke F   Schimrigk Sebastian S   Hillert Jan J   Bahlo Melanie M   Booth David R DR   Broadley Simon S   Brown Matthew A MA   Browning Brian L BL   Browning Sharon R SR   Butzkueven Helmut H   Carroll William M WM   Chapman Caron C   Foote Simon J SJ   Griffiths Lyn L   Kermode Allan G AG   Kilpatrick Trevor J TJ   Lechner-Scott Jeanette J   Marriott Mark M   Mason Deborah D   Moscato Pablo P   Heard Robert N RN   Pender Michael P MP   Perreau Victoria M VM   Perera Devindri D   Rubio Justin P JP   Scott Rodney J RJ   Slee Mark M   Stankovich Jim J   Stewart Graeme J GJ   Taylor Bruce V BV   Tubridy Niall N   Willoughby Ernest E   Wiley James J   Matthews Paul P   Boneschi Filippo M FM   Compston Alastair A   Haines Jonathan J   Hauser Stephen L SL   McCauley Jacob J   Ivinson Adrian A   Oksenberg Jorge R JR   Pericak-Vance Margaret M   Sawcer Stephen J SJ   De Jager Philip L PL   Hafler David A DA   de Bakker Paul I W PI  

Annals of neurology 20111201 6


<h4>Objective</h4>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.<h4>Methods</h4>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 (  ...[more]

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