3 documents found, page 1 of 1
TRAF1/C5 but not PTPRC variants are potential predictors of rheumatoid arthriti...
Canhao, Helena; Rodrigues, Ana Maria; Santos, Maria; Carmona-Fernandes, Diana; Bettencourt, Bruno F.; Cui, Jing; Rocha, Fabiana L.; Canas Silva, JoséBackground: The aim of our work was to replicate, in a Southern European population, the association reported in Northern populations between PTPRC locus and response to anti-tumor necrosis factor (anti-TNF) treatment in rheumatoid arthritis (RA). We also looked at associations between five RA risk alleles and treatment response. Methods: We evaluated associations between anti-TNF treatment responses assessed b...
Tyk2 protein-coding variants protect against rheumatoid arthritis and autoimmun...
Diogo, Dorothée; Bastarache, Lisa; Liao, Katherine P.; Graham, Robert R.; Fulton, Robert S.; Greenberg, Jeffrey D.; Eyre, Steve; Bowes, John; Cui, JingDespite the success of genome-wide association studies (GWAS) in detecting a large number of loci for complex phenotypes such as rheumatoid arthritis (RA) susceptibility, the lack of information on the causal genes leaves important challenges to interpret GWAS results in the context of the disease biology. Here, we genetically fine-map the RA risk locus at 19p13 to define causal variants, and explore the pleiot...
Identifying Relationships among Genomic Disease Regions: Predicting Genes at Pa...
Raychaudhuri, Soumya; Plenge, Robert M.; Rossin, Elizabeth J.; Ng, Aylwin C. Y.; Purcell, Shaun M.; Sklar, Pamela; Scolnick, Edward M.Translating a set of disease regions into insight about pathogenic mechanisms requires not only the ability to identify the key disease genes within them, but also the biological relationships among those key genes. Here we describe a statistical method, Gene Relationships Among Implicated Loci (GRAIL), that takes a list of disease regions and automatically assesses the degree of relatedness of implicated genes...