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Genome-wide association of bipolar disorder suggests an enrichment of replicable associations in regions near genes.

Authors :
Erin N Smith
Daniel L Koller
Corrie Panganiban
Szabolcs Szelinger
Peng Zhang
Judith A Badner
Thomas B Barrett
Wade H Berrettini
Cinnamon S Bloss
William Byerley
William Coryell
Howard J Edenberg
Tatiana Foroud
Elliot S Gershon
Tiffany A Greenwood
Yiran Guo
Maria Hipolito
Brendan J Keating
William B Lawson
Chunyu Liu
Pamela B Mahon
Melvin G McInnis
Francis J McMahon
Rebecca McKinney
Sarah S Murray
Caroline M Nievergelt
John I Nurnberger
Evaristus A Nwulia
James B Potash
John Rice
Thomas G Schulze
William A Scheftner
Paul D Shilling
Peter P Zandi
Sebastian Zöllner
David W Craig
Nicholas J Schork
John R Kelsoe
Source :
PLoS Genetics, Vol 7, Iss 6, p e1002134 (2011)
Publication Year :
2011
Publisher :
Public Library of Science (PLoS), 2011.

Abstract

Although a highly heritable and disabling disease, bipolar disorder's (BD) genetic variants have been challenging to identify. We present new genotype data for 1,190 cases and 401 controls and perform a genome-wide association study including additional samples for a total of 2,191 cases and 1,434 controls. We do not detect genome-wide significant associations for individual loci; however, across all SNPs, we show an association between the power to detect effects calculated from a previous genome-wide association study and evidence for replication (P = 1.5×10(-7)). To demonstrate that this result is not likely to be a false positive, we analyze replication rates in a large meta-analysis of height and show that, in a large enough study, associations replicate as a function of power, approaching a linear relationship. Within BD, SNPs near exons exhibit a greater probability of replication, supporting an enrichment of reproducible associations near functional regions of genes. These results indicate that there is likely common genetic variation associated with BD near exons (±10 kb) that could be identified in larger studies and, further, provide a framework for assessing the potential for replication when combining results from multiple studies.

Subjects

Subjects :
Genetics
QH426-470

Details

Language :
English
ISSN :
15537390 and 15537404
Volume :
7
Issue :
6
Database :
Directory of Open Access Journals
Journal :
PLoS Genetics
Publication Type :
Academic Journal
Accession number :
edsdoj.3c68f3061e9a495589546577b22507ee
Document Type :
article
Full Text :
https://doi.org/10.1371/journal.pgen.1002134