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Linkage analyses of rheumatoid arthritis and related quantitative phenotypes: the GAW15 experience
Authors:Ghosh Saurabh  Babron Marie-Claude  Amos Christopher I  Briollais Laurent  Chen Pei  Chen Wei V  Chiu Wen-Feng  Drigalenko Eugene  Etzel Carol J  Hamshere Marian L  Holmans Peter A  Margaritte-Jeannin Patricia  Lebrec Jeremie J P  Lin Shili  Lin Wan-Yu  Mandhyan Desh Deep  Nishchenko Iryna  Schaid Daniel J  Seguardo Ricardo  Shete Sanjay  Taylor Kim  Tayo Bamidele O  Wan Shuyan  Wei Liang-Ying  Wu Colin O  Yang Xiaohong R
Affiliation:Human Genetics Unit, Indian Statistical Institute, 203 B.T. Road, Kolkata 700-108, India. saurabh@isical.ac.in
Abstract:
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.
Keywords:
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