基因分型
生物
全基因组关联研究
基因组
单倍型
单核苷酸多态性
遗传关联
遗传学
遗传变异
索引
计算生物学
基因型
基因
作者
Surbhi Kumawat,Gaurav Raturi,Pallavi Dhiman,Sreeja Sudhakarn,Nitika Rajora,Vandana Thakral,Himanshu Yadav,Gunashri Padalkar,Yogesh Sharma,Vinaykumar Rachappanavar,Manish Kumar
标识
DOI:10.1002/9781119745686.ch3
摘要
Genotyping techniques have been redesigned with the advent of next-generation sequencing technology, allowing for more effective genome mapping and analysis. Among NGS, whole-genome resequencing (WGR) is a powerful method to address evolutionary relationship that has not been completely resolved by traditional methods. WGR identifies a wide range of genetic variations through single nucleotide polymorphism. It further acts as a tool to identify the genetic basis of disease and phenotypic traits. Several megaprojects such as 1K Arabidopsis and 3K rice genome resequencing projects have been undertaken to determine the population-specific genetic variation. The recent advancement in whole-genome sequencing includes Pool-Seq which provides an alternative to individual sequencing and a cost-effective method for genome-wide association studies (GWAS). WGR has also been implemented in the identification of the target gene responsible for a particular agronomic trait with the help of QTL. Various online resources of WGR are available for SNP identification, haplotyping, and genetic variation analysis. In recent years, WGR has become a routine strategy to analyze insertion-deletion (InDels) and structural variation detection. Further, WGR showed a wide range of applications in identifying evolutionary relationships, genetic variation, haplotyping, GWAS, and conservation breeding.
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