Meta-analysis of whole-genome linkage scans of bipolar disorder and schizophrenia
Meta-analysis of whole-genome linkage scans of bipolar disorder and schizophrenia
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DOI：
10.1038/sj.mp.4001012
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发表时间：
2002-01-01
影响因子：
11
通讯作者：
Gershon, ES
中科院分区：
文献类型：
--
作者：
Badner, JA;Gershon, ES
Badner和Gershon(2001)提出了一种可应用于已发表的基因组扫描的连锁数据荟萃分析技术。它结合了个别研究报告的P值，然后根据包含最小P值的区域的大小对每个值进行校正。模拟表明，I型错误率至少与单一基因组扫描的错误率一样低，因此可以应用全基因组显着性标准。检测关联的能力至少与汇集所有研究数据的能力一样高。我们将这种方法应用于所有已发表的双相情感障碍和精神分裂症的基因组扫描。我们发现双相情感障碍的易感基因座位于13q(P<；6×10(-6))和22q(P<；1×10(-5))，精神分裂症的易感基因座位于8p(P<；2×10(-4))、13q(P<；7×10(-5))和22q(P<；9 x 10(-5))。
Badner and Gershon (2001) presented a technique of meta-analysis of linkage data that could be applied to published genome scans. It combines the reported P-values of individual studies, after correcting each value for the size of the region containing a minimum P-value. Simulations demonstrated that the type I error rate was at least as low as that for a single genome scan and thus genome-wide significance criteria may be applied. Power to detect linkage was at least as high as the power of pooling the data from all the studies. We applied this method to all the published genome scans for bipolar disorder and schizophrenia. We found the strongest evidence for susceptibility loci on 13q (P < 6 x 10(-6)) and 22q (P < 1 x 10(-5)) for bipolar disorder, and on 8p (P < 2 x 10(-4)), 13q (P < 7 x 10(-5)), and 22q (P < 9 x 10(-5)) for schizophrenia.