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

Authors :
Olivier M
Bustos VI
Levy MR
Smick GA
Moreno I
Bushard JM
Almendras AA
Sheppard K
Zierten DL
Aggarwal A
Carlson CS
Foster BD
Vo N
Kelly L
Liu X
Cox DR
Source :
Genomics [Genomics] 2001 Nov; Vol. 78 (1-2), pp. 64-72.
Publication Year :
2001

Abstract

One approach to identify potentially important segments of the human genome is to search for DNA regions with nonrandom patterns of human sequence variation. 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 chromosome 21. By sequencing 13 individual chromosomes, we identified 1460 single-nucleotide polymorphisms (SNPs) and obtained unambiguous haplotypes for all 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 segments 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 low LD showed significantly more haplotype patterns. The position and extent of the segments of high LD with restricted haplotype variability did not coincide with the location of coding sequences. Our results indicate that LD and haplotype patterns need to be investigated with closely spaced SNPs throughout the human genome, independent of the location of coding sequences, to reliably identify regions with significant LD useful for disease association studies.

Details

Language :
English
ISSN :
0888-7543
Volume :
78
Issue :
1-2
Database :
MEDLINE
Journal :
Genomics
Publication Type :
Academic Journal
Accession number :
11707074
Full Text :
https://doi.org/10.1006/geno.2001.6646