Linkage analyses of rheumatoid arthritis and related quantitative phenotypes: the GAW15 experience.
The group that formed on the theme of linkage analyses of rheumatoid arthritis RA and related phenotypes (Group 10) in the Genetic Analysis Workshop 15 comprised 18 sets of investigators. Two data sets were available: one was a real set provided by the North American Rheumatoid Arthritis Consortium and collaborators in Canada, France (European Consortium Of Rheumatoid Arthritis Families) and the UK; the other was a simulated data set modelled after the real data set. Whereas a majority of the investigators analyzed the RA affection status as a binary phenotype, a few contributions considered data on correlated quantitative traits such as anti-cyclic citrullinated peptide and rheumatoid factor-immunoglobulin M. The different investigators applied a wide spectrum of linkage methods. As expected, most methods could identify the human leukocyfeantigen region on chromosome 6 as a major genetic factor for RA. In addition, some novel chromosomal regions provided significant evidence of linkage in multiple contributions in the group. In this report, we discuss the different strategies explored by the different investigators with the common goal of improving the power to detect linkage.
Ghosh
Saurabh
S
Human Genetics Unit, Indian Statistical Institute, 203 B.T. Road, Kolkata 700-108, India. saurabh@isical.ac.in
Babron
Marie-Claude
MC
Amos
Christopher I
CI
Briollais
Laurent
L
Chen
Pei
P
Chen
Wei V
WV
Chiu
Wen-Feng
WF
Drigalenko
Eugene
E
Etzel
Carol J
CJ
Hamshere
Marian L
ML
Holmans
Peter A
PA
Margaritte-Jeannin
Patricia
P
Lebrec
Jeremie J P
JJ
Lin
Shili
S
Lin
Wan-Yu
WY
Mandhyan
Desh Deep
DD
Nishchenko
Iryna
I
Schaid
Daniel J
DJ
Seguardo
Ricardo
R
Shete
Sanjay
S
Taylor
Kim
K
Tayo
Bamidele O
BO
Wan
Shuyan
S
Wei
Liang-Ying
LY
Wu
Colin O
CO
Yang
Xiaohong R
XR
D001172:Arthritis, Rheumatoid / Q000235:genetics*; D018740:Genetic Heterogeneity; D008040:Genetic Linkage; D006801:Humans; D010641:Phenotype