Nature Genetics 38, 731 - 733 (2006)
doi:10.1038/ng0706-731
Statistical false positive or true disease pathway?John A Todd
John A. Todd is in the University of Cambridge, Juvenile Diabetes Research Foundation/Wellcome Trust Diabetes and Inflammation Laboratory, Cambridge Institute for Medical Research, Wellcome Trust/Medical Research Council Building, Addenbrooke's Hospital Cambridge, Cambridgeshire
CB2 2XY, UK. john.todd@cimr.cam.ac.uk
Three very recent reports provide convincing statistical evidence (P < 10-8), at a genome-wide level, of the association of common polymorphisms with three different common diseases: systemic lupus erythematosus (IRF5), prostate cancer and type 1 diabetes (IFIH1 region). This adds to the trickle—soon to be a flood—of disease association results that are highly unlikely to be false positives. There are other convincing examples in the last 12 months: age-related macular degeneration (CFH), type 1 diabetes (IL2RA, also known as CD25) and type 2 diabetes (TCF7L2). Given 20 years of a literature full of irreproducible results, what has changed?
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