单倍型
单倍型估计
遗传学
生物
基因组
人类基因组
等位基因
遗传关联
1000基因组计划
核苷酸多型性
SNP公司
进化生物学
单核苷酸多态性
计算生物学
基因
基因型
作者
Stacey Gabriel,S. F. Schaffner,Huy Nguyen,Jamie Moore,Jessica Roy,Brendan Blumenstiel,John M. Higgins,Matthew DeFelice,Amy L. Lochner,Maura Faggart,Shau Neen Liu-Cordero,Charles N. Rotimi,Adebowale Adeyemo,Stephen S. Rich,Ryk Ward,Eric S. Lander,Mark J. Daly,David Altshuler
出处
期刊:Science
[American Association for the Advancement of Science (AAAS)]
日期:2002-06-21
卷期号:296 (5576): 2225-2229
被引量:5699
标识
DOI:10.1126/science.1069424
摘要
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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