全基因组关联研究
生物
遗传关联
上位性
数量性状位点
基因组
遗传学
基因分型
候选基因
计算生物学
单核苷酸多态性
基因
基因型
作者
Qin Wang,Tang Jiali,Bin Han,Xuehui Huang
标识
DOI:10.1007/s00122-019-03473-3
摘要
Genome-wide association studies (GWAS), genetic surveys of the whole genome to detect variants associated with a trait in natural populations, are a powerful approach for dissecting complex traits. This genetic mapping approach has been applied in rice over the last 10 years. During the last decade, GWAS was used to identify the loci underlying tens of rice traits, and several important genes were detected in GWAS and further confirmed in follow-up functional experiments. In this review, we present an overview of the whole process in a typical GWAS, including population design, genotyping, phenotyping and analysis methods. Recent advances in rice GWAS are also provided, including several examples of the functional characterization of candidate genes. The possible breakthroughs of rice GWAS in the next decade are discussed with regard to their application in breeding, the consideration of epistatic interactions and in-depth functional annotations of DNA elements and genetic variants throughout the rice genome.
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