全基因组关联研究
流苏
遗传关联
计算生物学
生物
基因型
遗传学
计算机科学
单核苷酸多态性
基因
农学
扎梅斯
作者
Marc‐André Lemay,Sidiki Malle
出处
期刊:Methods in molecular biology
日期:2022-01-01
卷期号:: 161-172
被引量:6
标识
DOI:10.1007/978-1-0716-2237-7_10
摘要
Structural variants (SVs) are known to have large functional impacts on phenotypes of agricultural interest, but they have yet to be routinely used for GWAS. Apart from the difficulty in obtaining high-quality SV genotype data for large populations, one of the main hurdles to using SVs for GWAS lies in formatting of genotype data for use with popular GWAS programs. This protocol describes how typical SV genotype data can be formatted for input to three GWAS programs commonly used by the plant genetics community: TASSEL, GAPIT, and mrMLM.
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