The Structure of Haplotype Blocks in the Human Genome

Stacey Gabriel(Whitehead Institute for Biomedical Research), S. F. Schaffner(Whitehead Institute for Biomedical Research), Huy Nguyen(Whitehead Institute for Biomedical Research), Jamie Moore(Whitehead Institute for Biomedical Research), Jessica Roy(Whitehead Institute for Biomedical Research), Brendan Blumenstiel(Whitehead Institute for Biomedical Research), John M. Higgins(Whitehead Institute for Biomedical Research), Matthew DeFelice(Whitehead Institute for Biomedical Research), Amy L. Lochner(Whitehead Institute for Biomedical Research), Maura Faggart(Whitehead Institute for Biomedical Research), Shau Neen Liu-Cordero(Whitehead Institute for Biomedical Research), Charles N. Rotimi(Howard University), Adebowale Adeyemo(University of Ibadan), Richard Cooper(Loyola University Medical Center), Ryk Ward(University of Oxford), Eric S. Lander(Whitehead Institute for Biomedical Research), Mark J. Daly(Whitehead Institute for Biomedical Research), David Altshuler(Harvard University)
Science
June 21, 2002
Cited by 5,910

Abstract

Haplotype-based methods offer a powerful approach to disease gene mapping, based on the association between causal mutations and the ancestral haplotypes on which they arose. As part of The SNP Consortium Allele Frequency Projects, we characterized haplotype patterns across 51 autosomal regions (spanning 13 megabases of the human genome) in samples from Africa, Europe, and Asia. We show that the human genome can be parsed objectively into haplotype blocks: sizable regions over which there is little evidence for historical recombination and within which only a few common haplotypes are observed. The boundaries of blocks and specific haplotypes they contain are highly correlated across populations. We demonstrate that such haplotype frameworks provide substantial statistical power in association studies of common genetic variation across each region. Our results provide a foundation for the construction of a haplotype map of the human genome, facilitating comprehensive genetic association studies of human disease.


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