G-STRATEGY: Optimal Selection of Individuals for Sequencing in Genetic Association Studies.

ABSTRACT: In a large-scale genetic association study, the number of phenotyped individuals available for sequencing may, in some cases, be greater than the study's sequencing budget will allow. In that case, it can be important to prioritize individuals for sequencing in a way that optimizes power for association with the trait. Suppose a cohort of phenotyped individuals is available, with some subset of them possibly already sequenced, and one wants to choose an additional fixed-size subset of individuals to sequence in such a way that the power to detect association is maximized. When the phenotyped sample includes related individuals, power for association can be gained by including partial information, such as phenotype data of ungenotyped relatives, in the analysis, and this should be taken int

SUBMITTER: Wang M 

PROVIDER: S-EPMC5473612 | biostudies-literature | 2016 Sep

REPOSITORIES: biostudies-literature