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Published online before print
March 21, 2005, 10.1101/gr.3241705 Genome Res. 15:454-462, 2005 ©2005 by Cold Spring Harbor Laboratory Press; ISSN 1088-9051/05 $5.00 OPEN ACCESS ARTICLE
The linkage disequilibrium maps of three human chromosomes across four populations reflect their demographic history and a common underlying recombination pattern1 Applied Biosystems, Foster City, California 94404, USA 2 Human Genetics Division, University of Southampton, Southampton, SO16 6YD, United Kingdom 3 Celera Genomics, Rockville, Maryland 20850, USA 4 Institute for Genome Research, The University of Tokushima, Tokushima 7708503, Japan 5 Institute of Virology, Chinese Academy of Preventive Medicine, Beijing 100052, China 6 Department of Viral OncologyEpidemiology, Institut Pasteur, Centre National de la Recherche Scientifique, 75015 Paris, France 7 Laboratory of Genomic Diversity, National Cancer Institute, Frederick, Maryland 21702, USA 8 Molecular Biology and Genetics, Cornell University, Ithaca, New York 14853, USA
The extent and patterns of linkage disequilibrium (LD) determine the feasibility of association studies to map genes that underlie complex traits. Here we present a comparison of the patterns of LD across four major human populations (African-American, Caucasian, Chinese, and Japanese) with a high-resolution single-nucleotide polymorphism (SNP) map covering almost the entire length of chromosomes 6, 21, and 22. We constructed metric LD maps formulated such that the units measure the extent of useful LD for association mapping. LD reaches almost twice as far in chromosome 6 as in chromosomes 21 or 22, in agreement with their differences in recombination rates. By all measures used, out-of-Africa populations showed over a third more LD than African-Americans, highlighting the role of the population's demography in shaping the patterns of LD. Despite those differences, the long-range contour of the LD maps is remarkably similar across the four populations, presumably reflecting common localization of recombination hot spots. Our results have practical implications for the rational design and selection of SNPs for disease association studies.
Article and publication are at http://www.genome.org/cgi/doi/10.1101/gr.3241705. Article published online before print in March 2005. Freely available online through the Genome Research Immediate Open Access option.
12 Corresponding author. 9 Present address: deCode Genetics, 101 Reykjavik, Iceland 10 Present address: St. Jude Children's Research Hospital, Memphis, Tennessee 38105, USA 11 Present address: Department of Mathematics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA. [Supplemental material is available online at www.genome.org.]
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