[show abstract][hide abstract] ABSTRACT: The pathogenesis of all forms of psoriasis remains obscure. Segregation analysis and twin studies together with ethnic differences in disease frequency all point to an underlying genetic susceptibility to psoriasis, which is both complex and likely to reflect the action of a number of genes. We performed a genome wide analysis using a total of 271 polymorphic autosomal markers on 284 sib relative pairs identified within 158 independent families. We detected evidence for linkage at 6p21 (PSORS1) with a non-parametric linkage score (NPL)=4.7, p=2 x 10(-6) and at chromosome 1p (NPL=3.6, p=1.9 x 10(-4)) in all families studied. Significant excess (p=0. 004) paternal allele sharing was detected for markers spanning the PSORS1 locus. A further three regions reached NPL scores of 2 or greater, including a region at chromosome 7 (NPL 2.1), for which linkage for a number of autoimmune disorders has been reported. Partitioning of the data set according to allele sharing at 6p21 (PSORS1) favoured linkage to chromosomes 2p (NPL 2.09) and 14q (NPL 2.0), both regions implicated in previous independent genome scans, and suggests evidence for epistasis between PSORS1 and genes at other genomic locations. This study has provided linkage evidence in favour of a novel susceptibility locus for psoriasis and provides evidence of the complex mechanisms underlying the genetic predisposition to this common skin disease.
Journal of Medical Genetics 02/2001; 38(1):7-13. · 5.70 Impact Factor
[show abstract][hide abstract] ABSTRACT: We used sample sequencing, a technique which generates random genomic sequence from cosmid clones and compares them with sequences deposited in the GenBank databases, to identify new genes in the class I region of the human major histocompatibility region. We isolated and ordered cosmid clones from a flow-sorted chromosome (Chr) 6 cosmid library, generating cosmid contigs covering approximately one third of the HLA class I region. Fifteen of these cosmids were then sample sequenced. A total of 216,694 bp of genomic sequence was generated and compared with sequences deposited in GenBank databases. In addition to identifying established class I region genes, a number of potential new genes were identified, including several which were not included in the recent major histocompatibility complex (MHC) consensus sequence map. Of particular interest are several new transcripts in the psoriasis susceptibility region.
[show abstract][hide abstract] ABSTRACT: Psoriasis is a common inflammatory skin condition caused by genetic and environmental factors. Recent genome-wide linkage analyses have identified a locus encoding susceptibility to psoriasis and placed this gene in the 12 cM interval between markers D6S426 and D6S276 on chromosome 6p21.3. This is a broad region and encompasses the human major histocompatibility complex. We have sought to localize the susceptibility gene more precisely by exploiting the linkage, haplotype, and linkage disequilibrium information available through genotyping 118 affected sib pairs, their parents and other affected family members. A total of 14 highly polymorphic markers were genotyped, combining anonymous loci with the class I genes HLA-B and -C distributed across a genetic interval of approximately 14 cM including the entire major histocompatibility complex. Through the application of higher density mapping within the major histocompatibility complex, we identified those regions most commonly shared identical by descent in patients with psoriasis. Using the transmission-disequilibrium test, we found significant evidence of linkage and allelic association across an interval defined by the markers tn62 (p = 1.0 x 10(-7)), HLA-B (p = 4.0 x 10(-7)), and HLA-C (p = 2.7 x 10(-9)), a region encompassed within a 285 kb genomic DNA fragment. Hence these studies contribute to the refinement of the localization of a major psoriasis susceptibility gene and place the critical region near to HLA-C.
Journal of Investigative Dermatology 10/1999; 113(3):322-8. · 6.19 Impact Factor