Singapore Immunology Network (SIgN), Agency for Science, Technology and Research (ASTAR), Singapore, Singapore ; Doctoral School in Translational and Molecular Medicine (DIMET), University of Milano-Bicocca, Milan, Italy.
Singapore Immunology Network (SIgN), Agency for Science, Technology and Research (ASTAR), Singapore, Singapore.
PLoS One. 2014 Jan 21;9(1):e86761. doi: 10.1371/journal.pone.0086761. eCollection 2014.
Linkage disequilibrium (LD) is an essential metric for selecting single-nucleotide polymorphisms (SNPs) to use in genetic studies and identifying causal variants from significant tag SNPs. The explosion in the number of polymorphisms that can now be genotyped by commercial arrays makes the interpretation of triangular correlation plots, commonly used for visualizing LD, extremely difficult in particular when large genomics regions need to be considered or when SNPs in perfect LD are not adjacent but scattered across a genomic region. We developed ArchiLD, a user-friendly graphical application for the hierarchical visualization of LD in human populations. The software provides a powerful framework for analyzing LD patterns with a particular focus on blocks of SNPs in perfect linkage as defined by r(2). Thanks to its integration with the UCSC Genome Browser, LD plots can be easily overlapped with additional data on regulation, conservation and expression. ArchiLD is an intuitive solution for the visualization of LD across large or highly polymorphic genomic regions. Its ease of use and its integration with the UCSC Genome Browser annotation potential facilitates the interpretation of association results and enables a more informed selection of tag SNPs for genetic studies.
连锁不平衡(LD)是选择单核苷酸多态性(SNP)用于遗传研究并从显著标记 SNP 中识别因果变异的重要指标。现在,商业阵列可以对越来越多的多态性进行基因分型,这使得三角相关图的解释变得极其困难,尤其是当需要考虑大的基因组区域时,或者当处于完全 LD 的 SNPs 不相邻但散布在基因组区域中时。我们开发了 ArchiLD,这是一种用于人类群体 LD 层次可视化的用户友好型图形应用程序。该软件提供了一个强大的框架来分析 LD 模式,特别关注 r(2) 定义的完全连锁的 SNP 块。由于它与 UCSC 基因组浏览器的集成,LD 图可以轻松与关于调控、保守和表达的其他数据重叠。ArchiLD 是可视化大型或高度多态性基因组区域 LD 的直观解决方案。它易于使用,并且与 UCSC 基因组浏览器注释潜力的集成,有助于解释关联结果,并能够更明智地选择用于遗传研究的标记 SNP。