McQueen Matthew B, Devlin B, Faraone Stephen V, Nimgaonkar Vishwajit L, Sklar Pamela, Smoller Jordan W, Abou Jamra Rami, Albus Margot, Bacanu Silviu-Alin, Baron Miron, Barrett Thomas B, Berrettini Wade, Blacker Deborah, Byerley William, Cichon Sven, Coryell Willam, Craddock Nick, Daly Mark J, Depaulo J Raymond, Edenberg Howard J, Foroud Tatiana, Gill Michael, Gilliam T Conrad, Hamshere Marian, Jones Ian, Jones Lisa, Juo Suh-Hang, Kelsoe John R, Lambert David, Lange Christoph, Lerer Bernard, Liu Jianjun, Maier Wolfgang, Mackinnon James D, McInnis Melvin G, McMahon Francis J, Murphy Dennis L, Nothen Markus M, Nurnberger John I, Pato Carlos N, Pato Michele T, Potash James B, Propping Peter, Pulver Ann E, Rice John P, Rietschel Marcella, Scheftner William, Schumacher Johannes, Segurado Ricardo, Van Steen Kristel, Xie Weiting, Zandi Peter P, Laird Nan M
Harvard School of Public Health, Department of Epidemiology, Boston, MA 02115, USA.
Am J Hum Genet. 2005 Oct;77(4):582-95. doi: 10.1086/491603. Epub 2005 Aug 15.
Several independent studies and meta-analyses aimed at identifying genomic regions linked to bipolar disorder (BP) have failed to find clear and consistent evidence of linkage regions. Our hypothesis is that combining the original genotype data provides benefits of increased power and control over sources of heterogeneity that outweigh the difficulty and potential pitfalls of the implementation. We conducted a combined analysis using the original genotype data from 11 BP genomewide linkage scans comprising 5,179 individuals from 1,067 families. Heterogeneity among studies was minimized in our analyses by using uniform methods of analysis and a common, standardized marker map and was assessed using novel methods developed for meta-analysis of genome scans. To date, this collaboration is the largest and most comprehensive analysis of linkage samples involving a psychiatric disorder. We demonstrate that combining original genome-scan data is a powerful approach for the elucidation of linkage regions underlying complex disease. Our results establish genomewide significant linkage to BP on chromosomes 6q and 8q, which provides solid information to guide future gene-finding efforts that rely on fine-mapping and association approaches.
多项旨在识别与双相情感障碍(BP)相关基因组区域的独立研究和荟萃分析均未能找到明确且一致的连锁区域证据。我们的假设是,合并原始基因型数据所带来的功效提升以及对异质性来源的控制,其益处超过了实施过程中的困难和潜在风险。我们使用来自11项BP全基因组连锁扫描的原始基因型数据进行了一项合并分析,这些扫描涵盖了来自1067个家庭的5179名个体。在我们的分析中,通过使用统一的分析方法和通用的标准化标记图谱,使研究间的异质性降至最低,并使用为基因组扫描荟萃分析开发的新方法进行评估。迄今为止,该合作是对涉及精神疾病的连锁样本进行的最大规模且最全面的分析。我们证明,合并原始基因组扫描数据是阐明复杂疾病潜在连锁区域的有力方法。我们的结果在6号染色体长臂和8号染色体长臂上建立了与BP全基因组显著连锁,这为指导未来依赖精细定位和关联方法的基因寻找工作提供了坚实信息。