Optimizing strain selection for association studies under hard cost constraints.

ABSTRACT: Quantitative genetics methods can be particularly powerful in model organisms and non-human populations, and we now have strain collections such as recombinant inbred lines, etc. that can be phenotyped. Natural diversity is also valuable in non-model systems that do not yet have reverse genetic tools. However, purchasing and phenotyping large collections can be cost-prohibitive. Strain or sample acquisition costs may also vary dramatically for different strains or isolates. Thus, investigators need efficient strategies to optimize experimental power for a given limited budget. In this study, we evaluate several approaches to optimally select subsets of the total cohort to best maintain power when performing genome-wide association studies. Some approaches focus solely on costs, others on g

SUBMITTER: Rau CD 

PROVIDER: S-EPMC12157437 | biostudies-literature | 2025 Jun

REPOSITORIES: biostudies-literature