Literature DB >> 17202997

Significant variation in haplotype block structure but conservation in tagSNP patterns among global populations.

Sheng Gu1, Andrew J Pakstis, Hui Li, William C Speed, Judith R Kidd, Kenneth K Kidd.   

Abstract

The initial belief that haplotype block boundaries and haplotypes were largely shared across populations was a foundation for constructing a haplotype map of the human genome using common SNP markers. The HapMap data document the generality of a block-like pattern of linkage disequilibrium (LD) with regions of low and high haplotype diversity but differences among the populations. Studies of many additional populations demonstrate that LD patterns can be highly variable among populations both across and within geographic regions. Because of this variation, emphasis has shifted to the generalizability of tagSNPs, those SNPs that capture the bulk of variation in a region. We have examined the LD and tagSNP patterns based upon over 2000 individual samples in 38 populations and 134 SNPs in 10 genetically independent loci for a total of 517 kb with an average density of 1 SNP/5 kb. Four different 'block' definitions and the pairwise LD tagSNP selection algorithm have been applied. Our results not only confirm large variation in block partition among populations from different regions (agreeing with previous studies including the HapMap) but also show that significant variation can occur among populations within geographic regions. None of the block-defining algorithms produces a consistent pattern within or across all geographic groups. In contrast, tagSNP transferability is much greater than the similarity of LD patterns and, although not perfect, some generalizations of transferability are possible. The analyses show an asymmetric pattern of tagSNP transferability coinciding with the subsetting of variation attributed to the spread of modern humans around the world.

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Year:  2007        PMID: 17202997     DOI: 10.1038/sj.ejhg.5201751

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


  22 in total

1.  Global similarity with local differences in linkage disequilibrium between the Dutch and HapMap-CEU populations.

Authors:  Luba Pardo; Zoltán Bochdanovits; Eco de Geus; Jouke J Hottenga; Patrick Sullivan; Danielle Posthuma; Brenda W J H Penninx; Dorret Boomsma; Peter Heutink
Journal:  Eur J Hum Genet       Date:  2009-01-07       Impact factor: 4.246

2.  Application of six IrisPlex SNPs and comparison of two eye color prediction systems in diverse Eurasia populations.

Authors:  Libing Yun; Yan Gu; Haseena Rajeevan; Kenneth K Kidd
Journal:  Int J Legal Med       Date:  2014-01-07       Impact factor: 2.686

3.  HapMap tagSNP transferability in multiple populations: general guidelines.

Authors:  Jinchuan Xing; David J Witherspoon; W Scott Watkins; Yuhua Zhang; Whitney Tolpinrud; Lynn B Jorde
Journal:  Genomics       Date:  2008-05-14       Impact factor: 5.736

4.  Using population mixtures to optimize the utility of genomic databases: linkage disequilibrium and association study design in India.

Authors:  T J Pemberton; M Jakobsson; D F Conrad; G Coop; J D Wall; J K Pritchard; P I Patel; N A Rosenberg
Journal:  Ann Hum Genet       Date:  2007-05-30       Impact factor: 1.670

5.  Evaluation of genetic tests for susceptibility to common complex diseases: why, when and how?

Authors:  Caroline Fiona Wright; Mark Kroese
Journal:  Hum Genet       Date:  2009-11-20       Impact factor: 4.132

6.  Gains in power for exhaustive analyses of haplotypes using variable-sized sliding window strategy: a comparison of association-mapping strategies.

Authors:  Yanfang Guo; Jian Li; Aaron J Bonham; Yuping Wang; Hongwen Deng
Journal:  Eur J Hum Genet       Date:  2008-12-17       Impact factor: 4.246

7.  The complex global pattern of genetic variation and linkage disequilibrium at catechol-O-methyltransferase.

Authors:  N Mukherjee; K K Kidd; A J Pakstis; W C Speed; H Li; Z Tarnok; C Barta; S L B Kajuna; J R Kidd
Journal:  Mol Psychiatry       Date:  2008-06-24       Impact factor: 15.992

8.  TagSNP transferability and relative loss of variability prediction from HapMap to an admixed population.

Authors:  Tulio C Lins; Breno S Abreu; Rinaldo W Pereira
Journal:  J Biomed Sci       Date:  2009-08-14       Impact factor: 8.410

9.  Simulation of genomes: a review.

Authors:  Antonio Carvajal-Rodríguez
Journal:  Curr Genomics       Date:  2008-05       Impact factor: 2.236

10.  Global haplotype partitioning for maximal associated SNP pairs.

Authors:  Ali Katanforoush; Mehdi Sadeghi; Hamid Pezeshk; Elahe Elahi
Journal:  BMC Bioinformatics       Date:  2009-08-27       Impact factor: 3.169

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