Pheno {fastR2} | R Documentation |
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
Source
Similar to the data presented in
Laura J. Scott, Karen L. Mohlke, Lori L. Bonnycastle, Cristen J. Willer, Yun Li, William L. Duren, Michael R. Erdos, Heather M. Stringham, Pe- ter S. Chines, Anne U. Jackson, Ludmila Prokunina-Olsson, Chia-Jen J. Ding, Amy J. Swift, Narisu Narisu, Tianle Hu, Randall Pruim, Rui Xiao, Xiao- Yi Y. Li, Karen N. Conneely, Nancy L. Riebow, Andrew G. Sprau, Maurine Tong, Peggy P. White, Kurt N. Hetrick, Michael W. Barnhart, Craig W. Bark, Janet L. Goldstein, Lee Watkins, Fang Xiang, Jouko Saramies, Thomas A. Buchanan, Richard M. Watanabe, Timo T. Valle, Leena Kinnunen, Goncalo R. Abecasis, Elizabeth W. Pugh, Kimberly F. Doheny, Richard N. Bergman, Jaakko Tuomilehto, Francis S. Collins, and Michael Boehnke, A genome-wide association study of type 2 diabetes in Finns detects multiple susceptibility vari- ants, Science (2007).
Examples
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)