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

  • Author(s): 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
  • et al.

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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