Complex high-resolution linkage disequilibrium and haplotype patterns of single-nucleotide polymorphisms in 2.5 Mb of sequence on human chromosome 21

Citation
M. Olivier et al., Complex high-resolution linkage disequilibrium and haplotype patterns of single-nucleotide polymorphisms in 2.5 Mb of sequence on human chromosome 21, GENOMICS, 78(1-2), 2001, pp. 64-72
Citations number
31
Categorie Soggetti
Molecular Biology & Genetics
Journal title
GENOMICS
ISSN journal
08887543 → ACNP
Volume
78
Issue
1-2
Year of publication
2001
Pages
64 - 72
Database
ISI
SICI code
0888-7543(200111)78:1-2<64:CHLDAH>2.0.ZU;2-S
Abstract
One approach to identify potentially important segments of the human genome is to search for DNA regions with nonrandom patterns of human sequence var iation. Previous studies have investigated these patterns primarily in and around candidate gene regions. Here, we determined patterns of DNA sequence variation in 2.5 Mb of finished sequence from five regions on human chromo some 21. By sequencing 13 individual chromosomes, we identified 1460 single -nucleotide polymorphisms (SNPs) and obtained unambiguous haplotypes for al l chromosomes. For all five chromosomal regions, we observed segments with high linkage disequilibrium (LD), extending from 1.7 to > 81 kb (average 21 .7 kb), disrupted by segments of similar or larger size with no significant LD between SNPs. At least 25% of the contig sequences consisted of segment s with high LD between SNPs. Each of these segments was characterized by a restricted number of observed haplotypes, with the major haplotype found in over 60% of all chromosomes. In contrast, the interspersed segments with l ow LD showed significantly more haplotype patterns. The position and extent of the segments of high LD with restricted haplotype variability did not c oincide with the location of coding sequences. Our results indicate that LD and haplotype patterns need to be investigated with closely spaced SNPs th roughout the human genome, independent of the location of coding sequences, to reliably identify regions with significant LD useful for disease associ ation studies.