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PMID: 17351134 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

Recent human effective population size estimated from linkage disequilibrium.

Genome research ·Vol. 17 ·No. 4 ·2007-04-00 ·Pages 520-6

Tenesa A, Navarro P, Hayes BJ, Duffy DL, Clarke GM, Goddard ME, Visscher PM

Abstract

Effective population size (N(e)) determines the amount of genetic variation, genetic drift, and linkage disequilibrium (LD) in populations. Here, we present the first genome-wide estimates of human effective population size from LD data. Chromosome-specific effective population size was estimated for all autosomes and the X chromosome from estimated LD between SNP pairs <100 kb apart. We account for variation in recombination rate by using coalescent-based estimates of fine-scale recombination rate from one sample and correlating these with LD in an independent sample. Phase I of the HapMap project produced between 18 and 22 million SNP pairs in samples from four populations: Yoruba from Ibadan (YRI), Nigeria; Japanese from Tokyo (JPT); Han Chinese from Beijing (HCB); and residents from Utah with ancestry from northern and western Europe (CEU). For CEU, JPT, and HCB, the estimate of effective population size, adjusted for SNP ascertainment bias, was approximately 3100, whereas the estimate for the YRI was approximately 7500, consistent with the out-of-Africa theory of ancestral human population expansion and concurrent bottlenecks. We show that the decay in LD over distance between SNPs is consistent with recent population growth. The estimates of N(e) are lower than previously published estimates based on heterozygosity, possibly because they represent one or more bottlenecks in human population size that occurred approximately 10,000 to 200,000 years ago.

MeSH Terms
Algorithms Female Gene Frequency Genetics, Population/methods Genome, Human Haplotypes Humans Linkage Disequilibrium Male Models, Genetic Polymorphism, Single Nucleotide/genetics Population Density
Authors & Affiliations
7 authors, click to expand affiliations / ORCID
Tenesa Albert
Colon Cancer Genetics Group, University of Edinburgh, Western General Hospital, Edinburgh, UK.
Navarro Pau
Hayes Ben J
Duffy David L
Clarke Geraldine M
Goddard Mike E
Visscher Peter M
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Article Info
Journal
Genome research
Abbr.
Genome Res
ISSN
1088-9051
Published
2007-04-00
Epub
2007-00-09
Pages
520-6
Language
English
Region
United States
NLM ID
9518021
PMCID
PMC1832099
Subset
IM
Grants
Wellcome Trust · United Kingdom
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