gwas-bmi: Genome-wide Association Study, BMI dataset results

In stephaniehicks/benchmarkfdrData2019: Data and Benchmarking Results from Korthauer and Kimes et al. (2019)

Genome-wide Association Study, BMI dataset results

Description

Results for case study on genome-wide associate study meta-analysis using a BMI dataset from the GIANT Consortium described in Korthauer and Kimes et al. (2019).

Arguments

metadata

logical whether to load metadata (TRUE) or full resource (FALSE). (default = FALSE)

Details

Results for this case study include:

• bmi-maf-benchmark: using minor allele frequency as covariate.

• bmi-uninf-benchmark: using uninformative covariate.

• bmi-samplesize-benchmark: using sample size as covariate.

Examples

`bmi-maf-benchmark`(metadata = TRUE)

## Not run: 
`bmi-maf-benchmark`()
`bmi-uninf-benchmark`()
`bmi-samplesize-benchmark`()

## End(Not run)

stephaniehicks/benchmarkfdrData2019 documentation built on April 13, 2025, 9:02 p.m.