title: Haplotype block structures show significant variation among populations.
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.
authors.affiliation: Department of Epidemiology and Public Health, Yale University School of Medicine, New Haven, Connecticut 06510, USA.
authors.forename: Nianjun
authors.initials: N
authors.lastname: Liu
authors.forename: Sarah L
authors.initials: SL
authors.lastname: Sawyer
authors.forename: Namita
authors.initials: N
authors.lastname: Mukherjee
authors.forename: Andrew J
authors.initials: AJ
authors.lastname: Pakstis
authors.forename: Judith R
authors.initials: JR
authors.lastname: Kidd
authors.forename: Kenneth K
authors.initials: KK
authors.lastname: Kidd
authors.forename: Anthony J
authors.initials: AJ
authors.lastname: Brookes
authors.forename: Hongyu
authors.initials: H
authors.lastname: Zhao
mesh_terms: D002874:Chromosome Mapping / Q000379:methods; D002879:Chromosomes, Human, Pair 10 / Q000235:genetics*; D020022:Genetic Predisposition to Disease / Q000453:epidemiology*; D014644:Genetic Variation; D005828:Genetics, Population; D015894:Genome, Human; D006239:Haplotypes; D006801:Humans; D008957:Models, Genetic; D015233:Models, Statistical; D020641:Polymorphism, Single Nucleotide / Q000235:genetics*