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.
Human Genetics Unit, Indian Statistical Institute, 203 B.T. Road, Kolkata 700-108, India. saurabh@isical.ac.in
Saurabh
S
Ghosh
Marie-Claude
MC
Babron
Christopher I
CI
Amos
Laurent
L
Briollais
Pei
P
Chen
Wei V
WV
Chen
Wen-Feng
WF
Chiu
Eugene
E
Drigalenko
Carol J
CJ
Etzel
Marian L
ML
Hamshere
Peter A
PA
Holmans
Patricia
P
Margaritte-Jeannin
Jeremie J P
JJ
Lebrec
Shili
S
Lin
Wan-Yu
WY
Lin
Desh Deep
DD
Mandhyan
Iryna
I
Nishchenko
Daniel J
DJ
Schaid
Ricardo
R
Seguardo
Sanjay
S
Shete
Kim
K
Taylor
Bamidele O
BO
Tayo
Shuyan
S
Wan
Liang-Ying
LY
Wei
Colin O
CO
Wu
Xiaohong R
XR
Yang
D001172:Arthritis, Rheumatoid / Q000235:genetics*; D018740:Genetic Heterogeneity; D008040:Genetic Linkage; D006801:Humans; D010641:Phenotype