College of Computer and Information Science, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
Institute of Statistics and Application, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
Genes (Basel). 2022 Mar 2;13(3):455. doi: 10.3390/genes13030455.
Genome-wide association analysis is an important approach to identify genetic variants associated with complex traits. Complex traits are not only affected by single gene loci, but also by the interaction of multiple gene loci. Studies of association between gene regions and quantitative traits are of great significance in revealing the genetic mechanism of biological development. There have been a lot of studies on single-gene region association analysis, but the application of functional linear models in multi-gene region association analysis is still less. In this paper, a functional multi-gene region association analysis test method is proposed based on the functional linear model. From the three directions of common multi-gene region method, multi-gene region weighted method and multi-gene region loci weighted method, that test method is studied combined with computer simulation. The following conclusions are obtained through computer simulation: (a) The functional multi-gene region association analysis test method has higher power than the functional single gene region association analysis test method; (b) The functional multi-gene region weighted method performs better than the common functional multi-gene region method; (c) the functional multi-gene region loci weighted method is the best method for association analysis on three directions of the common multi-gene region method; (d) the performance of the Step method and Multi-gene region loci weighted Step for multi-gene regions is the best in general. Functional multi-gene region association analysis test method can theoretically provide a feasible method for the study of complex traits affected by multiple genes.
全基因组关联分析是一种识别与复杂性状相关的遗传变异的重要方法。复杂性状不仅受单个基因座的影响，还受多个基因座的相互作用影响。研究基因区域与数量性状之间的关联对于揭示生物发育的遗传机制具有重要意义。已经有很多关于单基因区域关联分析的研究，但功能线性模型在多基因区域关联分析中的应用仍然较少。本文提出了一种基于功能线性模型的功能多基因区域关联分析检验方法。从常见的多基因区域方法、多基因区域加权方法和多基因区域位点加权方法三个方向出发，结合计算机模拟对该检验方法进行了研究。通过计算机模拟得出以下结论：(a)功能多基因区域关联分析检验方法比功能单基因区域关联分析检验方法具有更高的功效；(b)功能多基因区域加权方法比常见的功能多基因区域方法表现更好；(c)功能多基因区域位点加权方法是常见多基因区域方法三个方向中进行关联分析的最佳方法；(d)对于多基因区域，Step 方法和多基因区域位点加权 Step 方法的性能通常是最佳的。功能多基因区域关联分析检验方法在理论上可为受多个基因影响的复杂性状的研究提供一种可行的方法。
