Piletz John E, Zhang Xiaotong, Ranade Rajdeep, Liu Chunyu
Department of Psychiatry, Loyola University of Chicago, Stritch School of Medicine, Maywood, Illinois 60153, USA.
Psychiatr Genet. 2011 Apr;21(2):57-68. doi: 10.1097/YPG.0b013e328341a346.
This study describes the construction and preliminary analysis of a database of summary level genetic findings for bipolar disorder from the literature. The database is available for noncommercial use at http://bioprogramming.bsd.uchicago.edu/BDStudies/. This may be the first complete collection of published gene-specific linkage and association findings on bipolar disorder, including genome-wide association studies. Both the positive and negative findings have been incorporated so that the statistical and contextual significance of each finding may be compared semi-quantitatively and qualitatively across studies of mixed technologies. The database is appropriate for searching a literature populated by mainly underpowered studies, and if 'hits' are viewed as tentative knowledge for future hypothesis generation. It can serve as the basis for a mega-analysis of candidate genes. Herein, we discuss the most robust and best replicated gene findings to date in a contextual manner.
本研究描述了一个关于双相情感障碍文献中汇总水平基因研究结果数据库的构建及初步分析。该数据库可在http://bioprogramming.bsd.uchicago.edu/BDStudies/ 用于非商业用途。这可能是首个已发表的关于双相情感障碍的特定基因连锁和关联研究结果的完整集合，包括全基因组关联研究。阳性和阴性结果均已纳入，以便在混合技术研究中对每个结果的统计和背景意义进行半定量和定性比较。该数据库适用于在主要为低效能研究的文献中进行搜索，并且如果将“命中结果”视为未来假设生成的初步知识。它可作为候选基因元分析的基础。在此，我们以背景相关的方式讨论了迄今为止最可靠且得到最佳重复验证的基因研究结果。
