Genetic basis of adult migration timing in anadromous steelhead discovered through multivariate association testing.

Abstract excerpt

Migration traits are presumed to be complex and to involve interaction among multiple genes. We used both univariate analyses and a multivariate random forest (RF) machine learning algorithm to conduct association mapping of 15 239 single nucleotide polymorphisms (SNPs) for adult migration-timing phenotype in steelhead (Oncorhynchus mykiss). Our study focused on a model natural population of steelhead that...

Topics

• Animal Migration
• Animals
• Genome-Wide Association Study
• Multivariate Analysis
• Oncorhynchus mykiss
• Polymorphism, Single Nucleotide
• Time Factors
• Washington