## ---- echo=FALSE, message=FALSE------------------------------------------
library(GENESIS)
library(GWASTools)
# file path to GDS file
gdsfile <- system.file("extdata", "HapMap_ASW_MXL_geno.gds", package="GENESIS")
# read in GDS data
HapMap_geno <- GdsGenotypeReader(filename = gdsfile)
# create a GenotypeData class object
HapMap_genoData <- GenotypeData(HapMap_geno)
# load saved matrix of KING-robust estimates
data("HapMap_ASW_MXL_KINGmat")

# run PC-AiR
mypcair <- pcair(genoData = HapMap_genoData, kinMat = HapMap_ASW_MXL_KINGmat, 
                divMat = HapMap_ASW_MXL_KINGmat)
                
# run PC-Relate
mypcrel <- pcrelate(genoData = HapMap_genoData, pcMat = mypcair$vectors[,1],
            	training.set = mypcair$unrels)

# generate a phenotype
set.seed(4)
pheno <- 0.2*mypcair$vectors[,1] + rnorm(mypcair$nsamp, mean = 0, sd = 1)

## ------------------------------------------------------------------------
# mypcair contains PCs from a previous PC-AiR analysis
# mypcrel contains Kinship Estimates from a previous PC-Relate analysis
# pheno is a vector of Phenotype values

# make a data.frame
mydat <- data.frame(scanID = mypcrel$sample.id, pc1 = mypcair$vectors[,1], 
                    pheno = pheno)
head(mydat)

# make ScanAnnotationDataFrame
scanAnnot <- ScanAnnotationDataFrame(mydat)
scanAnnot

## ---- eval=FALSE---------------------------------------------------------
#  geno <- MatrixGenotypeReader(genotype = genotype, snpID = snpID, chromosome = chromosome,
#                               position = position, scanID = scanID)
#  genoData <- GenotypeData(geno)

## ---- eval=FALSE---------------------------------------------------------
#  geno <- GdsGenotypeReader(filename = "genotype.gds")
#  genoData <- GenotypeData(geno)

## ---- eval=FALSE---------------------------------------------------------
#  snpgdsBED2GDS(bed.fn = "genotype.bed", bim.fn = "genotype.bim", fam.fn = "genotype.fam",
#                out.gdsfn = "genotype.gds")

## ---- eval=FALSE---------------------------------------------------------
#  # read in GDS data
#  gdsfile <- system.file("extdata", "HapMap_ASW_MXL_geno.gds", package="GENESIS")
#  HapMap_geno <- GdsGenotypeReader(filename = gdsfile)

## ------------------------------------------------------------------------
# create a GenotypeData class object with paired ScanAnnotationDataFrame
HapMap_genoData <- GenotypeData(HapMap_geno, scanAnnot = scanAnnot)
HapMap_genoData

## ------------------------------------------------------------------------
myGRM <- pcrelateMakeGRM(mypcrel)
myGRM[1:5,1:5]

## ------------------------------------------------------------------------
# fit the null mixed model
nullmod <- fitNullMM(scanData = scanAnnot, outcome = "pheno", covars = "pc1", covMatList = myGRM, 
                     family = gaussian)

## ---- eval=FALSE---------------------------------------------------------
#  nullmod <- fitNullMM(scanData = scanAnnot, outcome = "pheno", covars = c("pc1","pc2","sex","age"),
#                       covMatList = myGRM, family = gaussian)

## ---- eval=FALSE---------------------------------------------------------
#  nullmod <- fitNullMM(scanData = scanAnnot, outcome = "pheno", covars = "pc1"
#                       covMatList = list("GRM" = myGRM, "House" = H), family = gaussian)

## ---- eval=FALSE---------------------------------------------------------
#  nullmod <- fitNullMM(scanData = scanAnnot, outcome = "pheno", covars = "pc1", covMatList = myGRM,
#                       family = gaussian, group.var = "race")

## ---- eval=FALSE---------------------------------------------------------
#  nullmod <- fitNullMM(scanData = scanAnnot, outcome = "pheno", covars = "pc1", covMatList = myGRM,
#                       family = binomial)

## ------------------------------------------------------------------------
assoc <- assocTestMM(genoData = HapMap_genoData, nullMMobj = nullmod, test = "Wald")

## ---- eval = FALSE-------------------------------------------------------
#  # mysnps is a vector of snpID values for the SNPs we want to test
#  assoc <- assocTestMM(genoData = HapMap_genoData, nullMMobj = nullmod, test = "Wald",
#                       snp.include = mysnps)

## ---- eval = FALSE-------------------------------------------------------
#  assoc <- assocTestMM(genoData = HapMap_genoData, nullMMobj = nullmod, test = "Wald",
#                       chromosome = 22)

## ------------------------------------------------------------------------
head(assoc)

## ------------------------------------------------------------------------
varCompCI(nullMMobj = nullmod, prop = TRUE)

## ---- echo=FALSE---------------------------------------------------------
close(HapMap_genoData)