Summary of contributions to GAW15 Group 13: candidate gene association studies.
Here we summarize the contributions to Group 13 of the Genetic Analysis Workshop 15 held in St. Pete Beach, Florida, on November 12-14, 2006. The focus of this group was to identify candidate genes associated with rheumatoid arthritis or surrogate outcomes. The association methods proposed in this group were diverse, from better known approaches, such as logistic regression for single nucleotide polymorphism (SNP) analysis and haplotype sharing tests to methods less familiar to genetic epidemiologists, such as machine learning and visualization methods. The majority of papers analyzed Genetic Analysis Workshop 15 Problems 2 (rheumatoid arthritis data) and 3 (simulated data). The highlighted points of this group analyses were: (1) haplotype-based statistics can be more powerful than single SNP analysis for risk-locus localization; (2) considering linkage disequilibrium block structure in haplotype analysis may reduce the likelihood of false-positive results; and (3) visual representation of genetic models for continuous covariates may help identify SNPs associated with the underlying quantitative trait loci.
Division of Biostatistics, Department of Health Science Research, Mayo Clinic College of Medicine, 200 First Street SW, Rochester, MN 55905, USA. mandrade@mayo.edu
Mariza
M
de Andrade
Andrew S
AS
Allen
Dimitru
D
Brinza
Rong
R
Cheng
Yang
Y
Da
André R
AR
de Vries
Adel
A
Ewhida
Zeny
Z
Feng
Hsuan
H
Jung
Hsin-Ju
HJ
Hsieh
Karola
K
Köhler
Youfang
Y
Liu
Wen
W
Liu-Mares
Jian'an
J
Luan
Vivien
V
Marquard
Ilja M
IM
Nolte
Sohee
S
Oh
Alexander
A
Platt
Xuejun
X
Qin
Yun Joo
YJ
Yoo
Ao
A
Yuan
Xin
X
Tian
Sungho
S
Won
D001172:Arthritis, Rheumatoid / Q000235:genetics*; D004843:Epistasis, Genetic; D006239:Haplotypes; D006801:Humans; D020641:Polymorphism, Single Nucleotide