Detecting Immigration by Using Multilocus Genotypes

Immigration is an important force shaping the social structure, evolution, and genetics of populations. A statistical method is presented that uses multilocus genotypes to identify individuals who are immigrants, or have recent immigrant ancestry. The method is appropriate for use with allozymes, mi...

Full description

Saved in:
Bibliographic Details
Published in:Proceedings of the National Academy of Sciences - PNAS 1997-08, Vol.94 (17), p.9197-9201
Main Authors: Rannala, Bruce, Mountain, Joanna L.
Format: Article
Language:English
Subjects:
Alleles
Ancestry
Biological Sciences
Emigration and Immigration
Evolutionary genetics
Gene frequency
Genetic loci
Genetics
Genetics, Population
Genotype
Genotypes
Human genetics
Humans
Immigrant populations
Immigration
Models, Theoretical
Polymorphism, Restriction Fragment Length
Population genetics
Population I stars
Statistical analysis
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Immigration is an important force shaping the social structure, evolution, and genetics of populations. A statistical method is presented that uses multilocus genotypes to identify individuals who are immigrants, or have recent immigrant ancestry. The method is appropriate for use with allozymes, microsatellites, or restriction fragment length polymorphisms (RFLPs) and assumes linkage equilibrium among loci. Potential applications include studies of dispersal among natural populations of animals and plants, human evolutionary studies, and typing zoo animals of unknown origin (for use in captive breeding programs). The method is illustrated by analyzing RFLP genotypes in samples of humans from Australian, Japanese, New Guinean, and Senegalese populations. The test has power to detect immigrant ancestors, for these data, up to two generations in the past even though the overall differentiation of allele frequencies among populations is low.
ISSN:0027-8424
1091-6490
DOI:10.1073/pnas.94.17.9197