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Inference of population structure using multilocus genotype data: dominant markers and null alleles

Dominant markers such as amplified fragment length polymorphisms (AFLPs) provide an economical way of surveying variation at many loci. However, the uncertainty about the underlying genotypes presents a problem for statistical analysis. Similarly, the presence of null alleles and the limitations of...

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Detalles Bibliográficos
Autores principales: FALUSH, DANIEL, STEPHENS, MATTHEW, PRITCHARD, JONATHAN K
Formato: Texto
Lenguaje:English
Publicado: Blackwell Publishing Ltd 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1974779/
https://www.ncbi.nlm.nih.gov/pubmed/18784791
http://dx.doi.org/10.1111/j.1471-8286.2007.01758.x
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author FALUSH, DANIEL
STEPHENS, MATTHEW
PRITCHARD, JONATHAN K
author_facet FALUSH, DANIEL
STEPHENS, MATTHEW
PRITCHARD, JONATHAN K
author_sort FALUSH, DANIEL
collection PubMed
description Dominant markers such as amplified fragment length polymorphisms (AFLPs) provide an economical way of surveying variation at many loci. However, the uncertainty about the underlying genotypes presents a problem for statistical analysis. Similarly, the presence of null alleles and the limitations of genotype calling in polyploids mean that many conventional analysis methods are invalid for many organisms. Here we present a simple approach for accounting for genotypic ambiguity in studies of population structure and apply it to AFLP data from whitefish. The approach is implemented in the program structure version 2.2, which is available from http://pritch.bsd.uchicago.edu/structure.html.
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spelling pubmed-19747792007-09-18 Inference of population structure using multilocus genotype data: dominant markers and null alleles FALUSH, DANIEL STEPHENS, MATTHEW PRITCHARD, JONATHAN K Mol Ecol Notes Technical Articles Dominant markers such as amplified fragment length polymorphisms (AFLPs) provide an economical way of surveying variation at many loci. However, the uncertainty about the underlying genotypes presents a problem for statistical analysis. Similarly, the presence of null alleles and the limitations of genotype calling in polyploids mean that many conventional analysis methods are invalid for many organisms. Here we present a simple approach for accounting for genotypic ambiguity in studies of population structure and apply it to AFLP data from whitefish. The approach is implemented in the program structure version 2.2, which is available from http://pritch.bsd.uchicago.edu/structure.html. Blackwell Publishing Ltd 2007-07-01 /pmc/articles/PMC1974779/ /pubmed/18784791 http://dx.doi.org/10.1111/j.1471-8286.2007.01758.x Text en © 2007 The Authors Journal compilation © 2007 Blackwell Publishing Ltd https://creativecommons.org/licenses/by/2.5/ Re-use of this article is permitted in accordance with the Creative Commons Deed, Attribution 2.5, which does not permit commercial exploitation.
spellingShingle Technical Articles
FALUSH, DANIEL
STEPHENS, MATTHEW
PRITCHARD, JONATHAN K
Inference of population structure using multilocus genotype data: dominant markers and null alleles
title Inference of population structure using multilocus genotype data: dominant markers and null alleles
title_full Inference of population structure using multilocus genotype data: dominant markers and null alleles
title_fullStr Inference of population structure using multilocus genotype data: dominant markers and null alleles
title_full_unstemmed Inference of population structure using multilocus genotype data: dominant markers and null alleles
title_short Inference of population structure using multilocus genotype data: dominant markers and null alleles
title_sort inference of population structure using multilocus genotype data: dominant markers and null alleles
topic Technical Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1974779/
https://www.ncbi.nlm.nih.gov/pubmed/18784791
http://dx.doi.org/10.1111/j.1471-8286.2007.01758.x
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