Allison D B, Heo M
Obesity Research Center, St. Luke's/Roosevelt Hospital Center, Columbia University College of Physicians & Surgeons, New York, New York 10025, USA.
Genetics. 1998 Feb;148(2):859-65. doi: 10.1093/genetics/148.2.859.
To date, few methods have been developed explicitly for meta-analysis of linkage analyses. Moreover, the methods that have been developed or suggested generally depend on certain ideal situations and have not been widely applied. In this article, we apply standard statistical theory and meta-analytic techniques in novel ways to five published papers discussing the evidence of linkage of body mass index (BMI) to the region of the human genome containing the OB gene. These methods are "inference based," meaning that they allow one to make statements about the statistical significance of the entire body of evidence. As currently developed, they do not allow specific statements to be made about the amount of variance explained by any putative locus or allow precise confidence intervals to be placed around the putative location of a linked locus. By applying these techniques to the literature on linkage in the human OB gene region, we are able to show that the evidence for linkage somewhere in the region is extremely strong (P = 1.5 x 10[-5]).
迄今为止，专门针对连锁分析的荟萃分析所开发的方法很少。此外，已开发或建议的方法通常依赖于某些理想情况，尚未得到广泛应用。在本文中，我们以新颖的方式将标准统计理论和荟萃分析技术应用于五篇已发表的论文，这些论文讨论了体重指数（BMI）与包含OB基因的人类基因组区域之间连锁的证据。这些方法是“基于推断的”，这意味着它们允许人们对整个证据体的统计显著性做出陈述。按照目前的发展情况，它们不允许对任何假定基因座所解释的方差量做出具体陈述，也不允许在连锁基因座的假定位置周围放置精确的置信区间。通过将这些技术应用于人类OB基因区域连锁的文献，我们能够表明该区域某处存在连锁的证据极其有力（P = 1.5×10[-5]）。
