The increasing number of DNA polymorphisms characterized in humans will soon allow the construction of fine genetic maps of human chromosomes. This advance calls for a reexamination of current methodologies for linkage analysis by the family method. We have investigated the relative efficiency of two-point and three-point linkage tests for the detection of linkage and the estimation of recombination in a variety of situations. This led us to develop the computer program LINKAGE to perform multilocus linkage analysis. The investigation also enables us to propose a method of location scores for the efficient detection of linkage between a disease locus, or a new genetic marker, and a linkage group previously established from a reference panel of families. The method is illustrated by an application to simulated pedigree data in a situation akin to Duchenne muscular dystrophy. These results show that considerable economy and efficiency can be brought to the mapping endeavor by resorting to appropriate strategies of detecting linkage and by constructing the human genetic map on a common reference panel of families.

Patrick Concannon and colleagues present a type 1 diabetes genome-wide association study and meta-analysis in 7,514 cases and 9,045 reference samples, reporting 22 newly identified loci. Type 1 diabetes (T1D) is a common autoimmune disorder that arises from the action of multiple genetic and environmental risk factors. We report the findings of a genome-wide association study of T1D, combined in a meta-analysis with two previously published studies. The total sample set included 7,514 cases and 9,045 reference samples. Forty-one distinct genomic locations provided evidence for association with T1D in the meta-analysis (P < 10−6). After excluding previously reported associations, we further tested 27 regions in an independent set of 4,267 cases, 4,463 controls and 2,319 affected sib-pair (ASP) families. Of these, 18 regions were replicated (P < 0.01; overall P < 5 × 10−8) and 4 additional regions provided nominal evidence of replication (P < 0.05). The many new candidate genes suggested by these results include IL10, IL19, IL20, GLIS3, CD69 and IL27.