Allison D B, Schork N J
Obesity Research Center, St. Luke's/Roosevelt Hospital, New York, New York 10025, USA.
Behav Genet. 1997 Jul;27(4):401-21. doi: 10.1023/a:1025696232582.
This paper focuses on methods for mapping novel obesity genes in humans via meiotic mapping techniques. By novel we mean genes that are as yet unidentified as playing a role in obesity. We begin by presenting a discussion of why we believe it is important to seek out novel obesity genes and, in particular, novel genes of small effect. In light of the arguably Herculean task of finding genes of small effect with conventional gene mapping methods, we discuss alternative methods and procedures that may enhance our ability to map novel obesity genes of small effect. Many of these methods have been discussed previously in the literature and are summarized here. These include reconceptualizing power in the context of genomewide scans, multivariate linkage approaches, the use of phenotypically extreme subjects, and the use of large sibships. These are discussed in the context of linkage studies. Association studies and disequilibrium mapping are also discussed, and again, issues involving the use of extreme phenotypes and multiple testing are included. We also provide a brief discussion of DNA pooling and transmission disequilibrium tests for quantitative traits. Finally, we advocate data pooling techniques (e.g., meta-analysis) to enhance the power and efficiency of the entire field of the genetics of obesity.
本文聚焦于通过减数分裂定位技术在人类中定位新型肥胖基因的方法。所谓“新型”,我们指的是那些尚未被确定在肥胖中起作用的基因。我们首先讨论为什么我们认为寻找新型肥胖基因,特别是小效应的新型基因很重要。鉴于用传统基因定位方法寻找小效应基因这项堪称艰巨的任务,我们讨论了可能提高我们定位小效应新型肥胖基因能力的替代方法和程序。其中许多方法此前已在文献中讨论过,在此进行总结。这些方法包括在全基因组扫描背景下重新认识功效、多变量连锁方法、使用表型极端的受试者以及使用大型同胞对。这些将在连锁研究的背景下进行讨论。还将讨论关联研究和不平衡定位,同样会涉及使用极端表型和多重检验的问题。我们还简要讨论了针对数量性状的DNA混合和传递不平衡检验。最后,我们提倡数据合并技术(如荟萃分析),以提高肥胖遗传学整个领域的功效和效率。