fastR2 (version 0.2.0)

Pheno: FUSION type 2 diabetes study

Description

Phenotype and genotype data from the Finland United States Investigation of NIDDM (type 2) Diabetes (FUSION) study.

Format

Data frames with the following variables.

• id subject ID number for matching between data sets

• t2d a factor with levels case control

• bmi body mass index

• sex a factor with levels F M

• age age of subject at time phenotypes were colelcted

• smoker a factor with levels former never occasional regular

• chol total cholesterol

• waist waist circumference (cm)

• weight weight (kg)

• height height (cm)

• whr waist hip ratio

• sbp systolic blood pressure

• dbp diastolic blood pressure

• marker RS name of SNP

• markerID numeric ID for SNP

• allele1 first allele coded as 1 = A, 2 = C, 3 = G, 4 = T

• allele2 second allele coded as 1 = A, 2 = C, 3 = G, 4 = T

• genotype both alleles coded as a factor

• Adose number of A alleles

• Cdose number of C alleles

• Gdose number of G alleles

• Tdose number of T alleles

Examples

# NOT RUN {
data(Pheno); data(FUSION1); data(FUSION2)
FUSION1m <- merge(FUSION1, Pheno, by = "id", all.x = FALSE, all.y = FALSE) 
xtabs( ~ t2d + genotype, data = FUSION1m) 
xtabs( ~ t2d + Gdose, data = FUSION1m) 
chisq.test( xtabs( ~ t2d + genotype, data = FUSION1m ) )
f1.glm <- glm( factor(t2d) ~ Gdose, data = FUSION1m, family = binomial) 
summary(f1.glm)

# }