Literature DB >> 15657612

Linkage disequilibrium patterns vary substantially among populations.

Sarah L Sawyer1, Namita Mukherjee, Andrew J Pakstis, Lars Feuk, Judith R Kidd, Anthony J Brookes, Kenneth K Kidd.   

Abstract

A major initiative to create a global human haplotype map has recently been launched as a tool to improve the efficiency of disease gene mapping. The 'HapMap' project will study common variants in depth in four (and to a lesser degree in up to 12) populations to catalogue haplotypes that are expected to be common to all populations. A hope of the 'HapMap' project is that much of the genome occurs in regions of limited diversity such that only a few of the SNPs in each region will capture the diversity and be relevant around the world. In order to explore the implications of studying only a limited number of populations, we have analyzed linkage disequilibrium (LD) patterns of three 175-320 kb genomic regions in 16 diverse populations with an emphasis on African and European populations. Analyses of these three genomic regions provide empiric demonstration of marked differences in frequencies of the same few haplotypes, resulting in differences in the amount of LD and very different sets of haplotype frequencies. These results highlight the distinction between the statistical concept of LD and the biological reality of haplotypes and their frequencies. The significant quantitative and qualitative variation in LD among populations, even for populations within a geographic region, emphasizes the importance of studying diverse populations in the HapMap project to assure broad applicability of the results.

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Year:  2005        PMID: 15657612     DOI: 10.1038/sj.ejhg.5201368

Source DB:  PubMed          Journal:  Eur J Hum Genet        ISSN: 1018-4813            Impact factor:   4.246


  49 in total

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Review 3.  Evaluating HapMap SNP data transferability in a large-scale genotyping project involving 175 cancer-associated genes.

Authors:  Gloria Ribas; Anna González-Neira; Antonio Salas; Roger L Milne; Ana Vega; Begoña Carracedo; Emilio González; Eva Barroso; Lara P Fernández; Patricio Yankilevich; Mercedes Robledo; Angel Carracedo; Javier Benítez
Journal:  Hum Genet       Date:  2005-12-02       Impact factor: 4.132

4.  Efficient selection of tagging single-nucleotide polymorphisms in multiple populations.

Authors:  Bryan N Howie; Christopher S Carlson; Mark J Rieder; Deborah A Nickerson
Journal:  Hum Genet       Date:  2006-05-06       Impact factor: 4.132

5.  The contribution of individual and pairwise combinations of SNPs in the APOA1 and APOC3 genes to interindividual HDL-C variability.

Authors:  C M Brown; T J Rea; S C Hamon; J E Hixson; E Boerwinkle; A G Clark; C F Sing
Journal:  J Mol Med (Berl)       Date:  2006-05-17       Impact factor: 4.599

Review 6.  Prospects and pitfalls in whole genome association studies.

Authors:  Robert W Lawrence; David M Evans; Lon R Cardon
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2005-08-29       Impact factor: 6.237

7.  Interpopulation linkage disequilibrium patterns of GABRA2 and GABRG1 genes at the GABA cluster locus on human chromosome 4.

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8.  Comparison of ENCODE region SNPs between Cebu Filipino and Asian HapMap samples.

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Journal:  J Hum Genet       Date:  2007-07-18       Impact factor: 3.172

9.  A genomewide admixture map for Latino populations.

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Journal:  Am J Hum Genet       Date:  2007-04-13       Impact factor: 11.025

10.  Global patterns of variation in allele and haplotype frequencies and linkage disequilibrium across the CYP2E1 gene.

Authors:  M-Y Lee; N Mukherjee; A J Pakstis; S Khaliq; A Mohyuddin; S Q Mehdi; W C Speed; J R Kidd; K K Kidd
Journal:  Pharmacogenomics J       Date:  2008-07-29       Impact factor: 3.550

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