Increasing the power of genome wide association studies in natural populations using repeated measures - evaluation and implementation.

ABSTRACT: Genomewide association studies (GWAS) enable detailed dissections of the genetic basis for organisms' ability to adapt to a changing environment. In long-term studies of natural populations, individuals are often marked at one point in their life and then repeatedly recaptured. It is therefore essential that a method for GWAS includes the process of repeated sampling. In a GWAS, the effects of thousands of single-nucleotide polymorphisms (SNPs) need to be fitted and any model development is constrained by the computational requirements. A method is therefore required that can fit a highly hierarchical model and at the same time is computationally fast enough to be useful.Our method fits fixed SNP effects in a linear mixed model that can include both random polygenic effects and permanent e

SUBMITTER: Ronnegard L 

PROVIDER: S-EPMC4950150 | biostudies-literature | 2016 Jul

REPOSITORIES: biostudies-literature