ArticleGenome research2005
The linkage disequilibrium maps of three human chromosomes across four populations reflect their demographic history and a common underlying recombination pattern.
Article in Genome research, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
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Who cites it
36 citing papers in PubMed.
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- Multi-ancestry gene expression models amplify transcriptome-wide association study discovery and validation.Nature communications · 2026Article
- Cross-population validation of European GWAS loci for metabolic syndrome in Chinese schizophrenia.BMC psychiatry · 2026Article
- A reference panel for linkage disequilibrium and genotype imputation using whole-genome sequencing data from 2,680 participants across India.HGG advances · 2026Article
- Computing linkage disequilibrium aware genome embeddings using autoencoders.Bioinformatics (Oxford, England) · 2024Article
- On the Extent of Linkage Disequilibrium in the Genome of Farm Animals.Frontiers in genetics · 2019Review
- GeneImp: Fast Imputation to Large Reference Panels Using Genotype Likelihoods from Ultralow Coverage Sequencing.Genetics · 2017Article
- Joint Prediction of the Effective Population Size and the Rate of Fixation of Deleterious Mutations.Genetics · 2016Article
- A multifaceted computational report on the variants effect on KIR2DL3 and IFNL3 candidate gene in HCV clearance.Molecular biology reports · 2016Article
- Constructing a linkage-linkage disequilibrium map using dominant-segregating markers.DNA research : an international journal for rapid publication of reports on genes and genomes · 2016Article
- Temporal dynamics of linkage disequilibrium in two populations of bighorn sheep.Ecology and evolution · 2015Article
- Rare variant APOC3 R19X is associated with cardio-protective profiles in a diverse population-based survey as part of the Epidemiologic Architecture for Genes Linked to Environment Study.Circulation. Cardiovascular genetics · 2014Article
- Leprosy as a genetic disease.Mammalian genome : official journal of the International Mammalian Genome Society · 2011Review
- Identifying highly conserved and highly differentiated gene ontology categories in human populations.PloS one · 2011Article
- Visualizing chromosome mosaicism and detecting ethnic outliers by the method of "rare" heterozygotes and homozygotes (RHH).Human molecular genetics · 2010Article
- Pronounced inter- and intrachromosomal variation in linkage disequilibrium across the zebra finch genome.Genome research · 2010Article
- Contrasting methods of quantifying fine structure of human recombination.Annual review of genomics and human genetics · 2010Review
- Genomic and geographic distribution of private SNPs and pathways in human populations.Personalized medicine · 2009Article
- Recombinational landscape and population genomics of Caenorhabditis elegans.PLoS genetics · 2009Article
- Designing pharmacogenetic projects in industry: practical design perspectives from the Industry Pharmacogenomics Working Group.The pharmacogenomics journal · 2009Review
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29 authors.
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Abstract
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.
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