|Table of Contents|

Feasibility Study of Soybean Genome Wide Association Study Based on Mixed Linear Model(PDF)

《大豆科学》[ISSN:1000-9841/CN:23-1227/S]

Issue:
2019年02期
Page:
212-216
Research Field:
Publishing date:

Info

Title:
Feasibility Study of Soybean Genome Wide Association Study Based on Mixed Linear Model
Author(s):
TANG You1;  WANG Yong-jiang1;  ZHANG Ji-cheng2;  XU Wei1
(1.Electrical and Information Engineering College,JiLin Agricultural Science and Technology University, Jilin 132101, China;2.College of Electrical and Information, Northeast Agricultural University, Harbin 150030, China;)
Keywords:
Mixed Linear Model（MLM）;  Soybean;  Genome-wide;  Association study;  Genetic assessment
PACS:
-
DOI:
10.11861/j.issn.1000-9841.2019.02.0212
Abstract:
To study the feasibility of Mixed Linear Model（MLM） on soybean genome wide association study, in order to accurately identify the main gene marker loci that affect phenotypic traits by correlation analysis between soybean genome-wide data and the corresponding phenotypic traits, this study detected and analyzed the polymorphism of individual genetic variation at the genome-wide level. The main analysis method was to decompose and calculate genotype data. The effects were divided into two parts: Fixed and random. The statistical correlation of mixed linear models is introduced. According to the calculated results of the model, the P value and the display contrast figure can be used to find the effective gene loci intuitively, and the significant relationship between different traits and gene markers can be analyzed intuitively. The genetic evaluation power of hybrid linear model association analysis was tested by simulated effective gene loci, which was more efficient than the general linear model. The innovation of this method in soybean genome association study was validated, and it was worth using for reference by other species for association analysis.

References:

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Last Update: 2019-04-01