Display Settings:

Format

Send to:

Choose Destination
See comment in PubMed Commons below
Proc Natl Acad Sci U S A. 2005 Dec 20;102(51):18508-13. Epub 2005 Dec 13.

Interrogating multiple aspects of variation in a full resequencing data set to infer human population size changes.

Author information

  • 1Department of Human Genetics, University of Chicago, Chicago, IL 60637, USA.

Abstract

We present an expanded data set of 50 unlinked autosomal noncoding regions, resequenced in samples of Hausa from Cameroon, Italians, and Chinese. We use these data to make inferences about human demographic history by using a technique that combines multiple aspects of genetic data, including levels of polymorphism, the allele frequency spectrum, and linkage disequilibrium. We explore an extensive range of demographic parameters and demonstrate that our method of combining multiple aspects of the data results in a significant reduction of the compatible parameter space. In agreement with previous reports, we find that the Hausa data are compatible with demographic equilibrium as well as a set of recent population expansion models. In contrast to the Hausa, when multiple aspects of the data are considered jointly, the non-Africans depart from an equilibrium model of constant population size and are compatible with a range of simple bottleneck models, including a 50-90% reduction in effective population size occurring some time after the appearance of modern humans in Africa 160,000-120,000 years ago.

PMID:
16352722
[PubMed - indexed for MEDLINE]
PMCID:
PMC1311907
Free PMC Article

Images from this publication.See all images (2)Free text

Fig. 1.
Fig. 2.
PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Full text links

    Icon for HighWire Icon for PubMed Central
    Loading ...
    Write to the Help Desk