Genome-Wide Association of Bipolar Disorder Suggests an Enrichment of Replicable Associations in Regions near Genes by Smith Erin N, Koller Daniel L, Panganiban Corrie, Szelinger Szabolcs, Zhang Peng, Badner Judith A, Barrett Thomas B, Berrettini Wade H, Bloss Cinnamon S, Byerley William, Coryell William, Edenberg Howard J, Foroud Tatiana, Gershon Elliot S, Greenwood Tiffany A, Guo Yiran, Hipolito Maria, Keating Brendan J, Lawson William B, Liu Chunyu, Mahon Pamela B, McInnis Melvin G, McMahon Francis J, McKinney Rebecca, Murray Sarah S, Nievergelt Caroline M, Nurnberger John I, Nwulia Evaristus A, Potash James B, Rice John, Schulze Thomas G, Scheftner William A, Shilling Paul D, Zandi Peter P, Zöllner Sebastian, Craig David W, Schork Nicholas J, Kelsoe John R in PLoS genetics (2011).

[PMID: 21738484] PubMed


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.

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