fastR (version 0.10.3)

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)

# }