Single-nucleotide polymorphism detection by denaturing high-performance liquid chromatography and direct sequencing in genes in the MHC class III region encoding novel cell surface molecules
G. Ribas et al., Single-nucleotide polymorphism detection by denaturing high-performance liquid chromatography and direct sequencing in genes in the MHC class III region encoding novel cell surface molecules, IMMUNOGENET, 53(5), 2001, pp. 369-381
The class III region of the human major histocompatibility complex (MHC) co
ntains approximately 59 genes, many of which encode polypeptides with a var
iety of different functions. Eight of these genes are of particular interes
t because they encode novel surface molecules that could be involved in imm
une and/or inflammatory responses and are excellent candidates as disease s
usceptibility loci. These molecules are members of two different superfamil
ies, the immunoglobulin superfamily (1C7, G6B, and G6F genes) and the leuco
cyte antigen-6 superfamily (G6C, G6D, G6E, G5C, and G5B genes). Some level
of variation was found when overlapping genomic DNAs from different haploty
pes were compared. The present work describes a systematic search for singl
e-nucleotide polymorphisms (SNPs) in these genes using direct sequencing an
d denaturing high-performance liquid chromatography (DHPLC) in 24 unrelated
healthy individuals. We validated the DHPLC methodology by first studying
the 1C7 gene. This gene was directly sequenced in all 24 samples, and DHPLC
was found to resolve all the polymorphic sites present in the heterozygote
samples tested. We screened the rest of the genes by DHPLC only, and only
those chromatograms that revealed a polymorphic profile were sequenced. We
detected one SNP every 489 bp in the 18 kb of DNA studied, corresponding to
theta =4.61x10 (4). The diversity in noncoding regions is 1 SNP/560 bp, bu
t a higher frequency was detected in coding regions with 1 SNP/423 bp corre
sponding to theta =5.33x10 (4). Of the coding SNPs, 63.6% caused amino acid
substitutions. The power of this study is emphasized by the fact that of t
he 37 SNPs/indels detected, only 6 can be found in the SNP database at the
NCBI.