Design and implementation of a novel mapping technique for single-nucleotide polymorphism genotypes using Textile Plot

纺织图是统计学中一种新颖的可视化技术和多元数据分析工具。我们将其应用于单核苷酸多态性基因型数据，以开发一种新的连锁不平衡、选择足迹和疾病基因的定位技术。我们提供了一个种群遗传的视角，以及一个用JAVA语言实现的软件环境。我们还在日本进行了慢性乙型肝炎的关联研究和克罗恩病和溃疡性结肠炎的比较研究，进行了疾病基因定位。

Textile Plot is a novel visualization technique and multivariate data analysis tool in statistics. We applied it to single-nucleotide polymorphism genotype data to develop a novel mapping technique of linkage disequilibrium, selection footprints and disease genes. We provided a population genetic perspective of the plot along with a software environment implemented in JAVA language. We also performed disease gene mappings in an association study of chronic hepatitis B and a comparative study of Crohn's disease and ulcerative colitis in Japanese.