Evaluation of fine mapping strategies for a multifactorial disease locus: systematic linkage and association analysis of IDDM1 in the HLA region on chromosome 6p21
M. Herr et al., Evaluation of fine mapping strategies for a multifactorial disease locus: systematic linkage and association analysis of IDDM1 in the HLA region on chromosome 6p21, HUM MOL GEN, 9(9), 2000, pp. 1291-1301
The positional cloning of multifactorial disease genes is a major challenge
in human genetics. We have therefore empirically tested the utility of the
available polymorphic microsatellite map to locate the already identified
type 1 diabetes locus IDDM1 (sibling risk/population prevalence ratio lambd
a(s) = 2.7) within a 14 Mb region of chromosome 6p21 linked to disease. In
a two-stage approach to fine mapping, linkage was evaluated in 385 affected
sib-pair families using 13 evenly spaced polymorphic microsatellite marker
s. The whole 14 Mb showed strong linkage. Then, each marker was analysed fo
r evidence of allelic association, revealing evidence of disease associatio
n at one marker located within the 95% confidence interval of 1.7 cM obtain
ed by linkage. Analysis of an additional 12 markers flanking this marker re
vealed a highly specific region of 570 kb associated with disease (P = 7.5
x 10(-35)), which included the HLA class II genes, known to be the primary
determinants of IDDM1. The peak of association was as close as 85 kb centro
meric of the disease-predisposing class II gene HLA-DQB1. We investigated t
he importance of the underlying inter-marker linkage disequilibrium, marker
informativity and recombination for fine mapping and demonstrate that the
majority of disease association in the region can be explained by linkage d
isequilibrium with the class II susceptibility genes. Recombination within
the major histocompatibility complex was rare and nearly absent in the clas
s III region. We demonstrate that fine mapping of a multifactorial disease
gene is possible with high accuracy even in a region with extraordinary lin
kage disequilibrium across distances of several Mb. The results will be app
licable to association studies of disease loci with lambda(s) values <2.7 e
xcept that much larger data sets will be required.