Blackwell Publishing Ltd of closely linked SNPs

We consider an isolated population founded by a small number of individuals randomly chosen from a source population of known genetic composition at a known time in the past. We develop a Monte-Carlo maximum-likelihood method for estimating the number of founding individuals from the haplotype frequ...

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Bibliographic Details
Main Authors: Raphaël Leblois, Montgomery Slatkin
Other Authors: The Pennsylvania State University CiteSeerX Archives
Format: Text
Language:English
Published: 2007
Subjects:
Online Access:http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.324.2268
http://ib.berkeley.edu/labs/slatkin/monty/LebloisSlatkinMolEcol2007.pdf
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spelling ftciteseerx:oai:CiteSeerX.psu:10.1.1.324.2268 2023-05-15T15:50:21+02:00 Blackwell Publishing Ltd of closely linked SNPs Raphaël Leblois Montgomery Slatkin The Pennsylvania State University CiteSeerX Archives 2007 application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.324.2268 http://ib.berkeley.edu/labs/slatkin/monty/LebloisSlatkinMolEcol2007.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.324.2268 http://ib.berkeley.edu/labs/slatkin/monty/LebloisSlatkinMolEcol2007.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://ib.berkeley.edu/labs/slatkin/monty/LebloisSlatkinMolEcol2007.pdf coalescent theory founder effect gene genealogy linkage disequilibrium maximumlikelihood estimation text 2007 ftciteseerx 2016-09-04T00:26:07Z We consider an isolated population founded by a small number of individuals randomly chosen from a source population of known genetic composition at a known time in the past. We develop a Monte-Carlo maximum-likelihood method for estimating the number of founding individuals from the haplotype frequencies at several SNP (single nucleotide polymorphism) loci in a sample. We assume the isolated population was founded recently enough that that mutation can be ignored and that haplotype frequencies in the source population have not changed. We apply the method to simulated data and show that it is unbiased. With a reasonable number of individuals sampled, it is possible to estimate the number of founders within a factor of 2. We show that the performance of the method is not degraded substantially if the frequencies of the rare haplotypes in the source are not known precisely and if there is some recombination. We illustrate the use of our method by applying it to a previously published data set from a recently founded population of wolves (Canis lupus) in Scandinavia. Text Canis lupus Unknown
institution Open Polar
collection Unknown
op_collection_id ftciteseerx
language English
topic coalescent theory
founder effect
gene genealogy
linkage disequilibrium
maximumlikelihood estimation
spellingShingle coalescent theory
founder effect
gene genealogy
linkage disequilibrium
maximumlikelihood estimation
Raphaël Leblois
Montgomery Slatkin
Blackwell Publishing Ltd of closely linked SNPs
topic_facet coalescent theory
founder effect
gene genealogy
linkage disequilibrium
maximumlikelihood estimation
description We consider an isolated population founded by a small number of individuals randomly chosen from a source population of known genetic composition at a known time in the past. We develop a Monte-Carlo maximum-likelihood method for estimating the number of founding individuals from the haplotype frequencies at several SNP (single nucleotide polymorphism) loci in a sample. We assume the isolated population was founded recently enough that that mutation can be ignored and that haplotype frequencies in the source population have not changed. We apply the method to simulated data and show that it is unbiased. With a reasonable number of individuals sampled, it is possible to estimate the number of founders within a factor of 2. We show that the performance of the method is not degraded substantially if the frequencies of the rare haplotypes in the source are not known precisely and if there is some recombination. We illustrate the use of our method by applying it to a previously published data set from a recently founded population of wolves (Canis lupus) in Scandinavia.
author2 The Pennsylvania State University CiteSeerX Archives
format Text
author Raphaël Leblois
Montgomery Slatkin
author_facet Raphaël Leblois
Montgomery Slatkin
author_sort Raphaël Leblois
title Blackwell Publishing Ltd of closely linked SNPs
title_short Blackwell Publishing Ltd of closely linked SNPs
title_full Blackwell Publishing Ltd of closely linked SNPs
title_fullStr Blackwell Publishing Ltd of closely linked SNPs
title_full_unstemmed Blackwell Publishing Ltd of closely linked SNPs
title_sort blackwell publishing ltd of closely linked snps
publishDate 2007
url http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.324.2268
http://ib.berkeley.edu/labs/slatkin/monty/LebloisSlatkinMolEcol2007.pdf
genre Canis lupus
genre_facet Canis lupus
op_source http://ib.berkeley.edu/labs/slatkin/monty/LebloisSlatkinMolEcol2007.pdf
op_relation http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.324.2268
http://ib.berkeley.edu/labs/slatkin/monty/LebloisSlatkinMolEcol2007.pdf
op_rights Metadata may be used without restrictions as long as the oai identifier remains attached to it.
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