Literature DB >> 15389924

Haplotype block structures show significant variation among populations.

Nianjun Liu1, Sarah L Sawyer, Namita Mukherjee, Andrew J Pakstis, Judith R Kidd, Kenneth K Kidd, Anthony J Brookes, Hongyu Zhao.   

Abstract

Recent studies suggest that haplotypes tend to have block-like structures throughout the human genome. Several methods were proposed for haplotype block partitioning and for tagging single-nucleotide polymorphism (SNP) identification. In population genetics studies, several research groups compared block structures across human populations. However, the measures used to quantify population similarity are either less than satisfactory or nonexistent. In this article, we propose several similarity measures to facilitate the comparisons of haplotype structures, namely block boundaries and tagging SNPs, across populations. With these measures, we can more objectively compare haplotype block structures and tagging SNP sets between different populations. In addition, these measures allow us to compare the results of different methods for block partition and tagging SNP identification. When we applied these measures to a real data set on chromosome 10 in 16 worldwide populations, we found that in this genome region: 1) haplotype block boundaries vary among populations, with European and some African populations showing similar boundaries but other populations showing other patterns; 2) tagging SNP sets are generally similar for populations with similar haplotype block structures but differ if the block structures differ; and 3) all but one of the block finding methods we tested yield consistent results, although variations exist regarding consistency. Our tentative results show that at least in the genome region studied, it is unlikely that a common haplotype pattern exists for all human populations: many populations, even in the same geographical region, may have different haplotype patterns.

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Year:  2004        PMID: 15389924     DOI: 10.1002/gepi.20026

Source DB:  PubMed          Journal:  Genet Epidemiol        ISSN: 0741-0395            Impact factor:   2.135


  19 in total

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2.  Genome-wide definitive haplotypes determined using a collection of complete hydatidiform moles.

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Journal:  Genome Res       Date:  2005-11       Impact factor: 9.043

3.  Sequence features in regions of weak and strong linkage disequilibrium.

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

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5.  An approach to incorporate linkage disequilibrium structure into genomic association analysis.

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6.  The effect of single-nucleotide polymorphism marker selection on patterns of haplotype blocks and haplotype frequency estimates.

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Journal:  Am J Hum Genet       Date:  2005-10-19       Impact factor: 11.025

7.  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

8.  Characterizing linkage disequilibrium and evaluating imputation power of human genomic insertion-deletion polymorphisms.

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9.  Population analysis of vitamin D receptor polymorphisms and the role of genetic ancestry in an admixed population.

Authors:  Tulio C Lins; Rodrigo G Vieira; Dario Grattapaglia; Rinaldo W Pereira
Journal:  Genet Mol Biol       Date:  2011-07-01       Impact factor: 1.771

10.  Simulation of genomes: a review.

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

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