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Genotype, haplotype and copy-number variation in worldwide human populations

  • Mattias Jakobsson
  • , Sonja W. Scholz
  • , Paul Scheet
  • , J. Raphael Gibbs
  • , Jenna M. VanLiere
  • , Hon Chung Fung
  • , Zachary A. Szpiech
  • , James H. Degnan
  • , Kai Wang
  • , Rita Guerreiro
  • , Jose M. Bras
  • , Jennifer C. Schymick
  • , Dena G. Hernandez
  • , Bryan J. Traynor
  • , Javier Simon-Sanchez
  • , Mar Matarin
  • , Angela Britton
  • , Joyce Van De Leemput
  • , Ian Rafferty
  • , Maja Bucan
  • Howard M. Cann, John A. Hardy, Noah A. Rosenberg, Andrew B. Singleton

Research output: Contribution to journalArticlepeer-review

Abstract

Genome-wide patterns of variation across individuals provide a powerful source of data for uncovering the history of migration, range expansion, and adaptation of the human species. However, high-resolution surveys of variation in genotype, haplotype and copy number have generally focused on a small number of population groups. Here we report the analysis of high-quality genotypes at 525,910 single-nucleotide polymorphisms (SNPs) and 396 copy-number-variable loci in a worldwide sample of 29 populations. Analysis of SNP genotypes yields strongly supported fine-scale inferences about population structure. Increasing linkage disequilibrium is observed with increasing geographic distance from Africa, as expected under a serial founder effect for the out-of-Africa spread of human populations. New approaches for haplotype analysis produce inferences about population structure that complement results based on unphased SNPs. Despite a difference from SNPs in the frequency spectrum of the copy-number variants (CNVs) detected - including a comparatively large number of CNVs in previously unexamined populations from Oceania and the Americas - the global distribution of CNVs largely accords with population structure analyses for SNP data sets of similar size. Our results produce new inferences about inter-population variation, support the utility of CNVs in human population-genetic research, and serve as a genomic resource for human-genetic studies in diverse worldwide populations.

Original languageEnglish (US)
Pages (from-to)998-1003
Number of pages6
JournalNature
Volume451
Issue number7181
DOIs
StatePublished - Feb 21 2008

All Science Journal Classification (ASJC) codes

  • General

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