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Description

Two-Phase Genetic Association Study Design and Analysis with Missing Covariates by Design.

Provides functionality for designing and analysing two-phase genetic association studies. Phase 1 data usually come from genome-wide association study (GWAS) results and we assume phase 2 data will be part of a targeted genome sequencing or fine-mapping study. At design stage, the package assists in selecting a subset of individuals that will be sequenced for phase 2 via alternative approaches, including a flexible genetic algorithm (GA) for near-optimal designs. Once phase 2 data have been collected, the package implements methods to analyse phase 1 and phase 2 data together using semi-parametric regression models via the expectation-maximization (EM) algorithm. For more details see Espin-Garcia, Craiu and Bull (2018) <doi:10.1002/gepi.22099> and Espin-Garcia, Craiu and Bull (2021) <doi:10.1002/sim.9211>.

twoPhaseGAS

Two-Phase Genetic Association Study design and analysis with missing covariates by design

Description

Provides functionality for selecting and analyzing individuals in two-phase genetic association studies. Phase 1 data usually come from GWAS results and we assume phase 2 genetic data will be part of a targeted genome sequencing/fine-mapping study. The package assists in selecting a subset of individuals that will be sequenced for phase 2. Once phase 2 data have been collected, the package implements methods to analyze phase 1 and 2 data together using semi-parametric regression models.

Installation

You can install the current version of twoPhaseGAS from GitHub using (devtools required):

devtools::install_github("egosv/twoPhaseGAS", ref="main")
Metadata

Version

1.2.5

License

Unknown

Platforms (79)

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