Macgregor Stuart, Khan Imtiaz A
Genetic Epidemiology, Queensland Institute of Medical Research, Brisbane, Australia.
BMC Med Genet. 2006 Apr 5;7:34. doi: 10.1186/1471-2350-7-34.
The advent of cheap, large scale genotyping has led to widespread adoption of genetic association mapping as the tool of choice in the search for loci underlying susceptibility to common complex disease. Whilst simple single locus analysis is relatively trivial to conduct, this is not true of more complex analysis such as those involving interactions between loci. The importance of testing for interactions between loci in association analysis has been highlighted in a number of recent high profile publications.
Genetic Association Interaction Analysis (GAIA) is a web-based application for testing for statistical interactions between loci. It is based upon the widely used case-control study design for genetic association analysis and is designed so that non-specialists may routinely apply tests for interaction. GAIA allows simple testing of both additive and additive plus dominance interaction models and includes permutation testing to appropriately correct for multiple testing. The application will find use both in candidate gene based studies and in genome-wide association studies. For large scale studies GAIA includes a screening approach which prioritizes loci (based on the significance of main effects at one or both loci) for further interaction analysis.
GAIA is available at http://www.bbu.cf.ac.uk/html/research/biostats.htm.
廉价的大规模基因分型技术的出现,使得遗传关联图谱作为寻找常见复杂疾病易感性相关基因座的首选工具被广泛采用。虽然简单的单基因座分析相对容易进行,但涉及基因座间相互作用等更复杂的分析并非如此。近期一些备受瞩目的出版物强调了在关联分析中检测基因座间相互作用的重要性。
遗传关联相互作用分析(GAIA)是一个基于网络的应用程序,用于检测基因座间的统计相互作用。它基于广泛用于遗传关联分析的病例对照研究设计,旨在使非专业人员能够常规地应用相互作用检测。GAIA允许对加性和加性加显性相互作用模型进行简单检测,并包括置换检验以适当校正多重检验。该应用程序在基于候选基因的研究和全基因组关联研究中均有用途。对于大规模研究,GAIA包括一种筛选方法,该方法根据一个或两个基因座上主效应的显著性对基因座进行排序,以便进行进一步的相互作用分析。