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

Authors :
Jakobsson, Mattias
Scholz, Sonja W.
Scheet, Paul
Gibbs, J. Raphael
VanLiere, Jenna M.
Fung, Hon-Chung
Szpiech, Zachary A.
Degnan, James H.
Wang, Kai
Guerreiro, Rita
Bras, Jose M.
Schymick, Jennifer C.
Hernandez, Dena G.
Traynor, Bryan J.
Simon-Sanchez, Javier
Matarin, Mar
Britton, Angela
van de Leemput, Joyce
Rafferty, Ian
Bucan, Maja
Source :
Nature; 2/21/2008, Vol. 451 Issue 7181, p998-1003, 6p, 4 Graphs
Publication Year :
2008

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00280836
Volume :
451
Issue :
7181
Database :
Complementary Index
Journal :
Nature
Publication Type :
Academic Journal
Accession number :
30021382
Full Text :
https://doi.org/10.1038/nature06742