International Journal of Molecular Zoology 2024, Vol.14, No.1, 22-30 http://animalscipublisher.com/index.php/ijmz 25 logistic regression are used to evaluate the degree of association between SNPs and traits and correct for other potential influencing factors, such as race, gender, etc. By performing association analysis of SNPs across the entire genome, researchers can identify genetic variants associated with target traits, thereby revealing their underlying mechanisms in the occurrence and expression of the trait. These findings not only help to understand the genetic basis of complex traits, but also provide important guidance for disease prevention, diagnosis and treatment. Figure 2 The GWAS results at genome significant level for FI of different parities using GBS data in pigs (Wu et al., 2019)
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