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Population genetic analysis of ascertained SNP data

The large single nucleotide polymorphism (SNP) typing projects have provided an invaluable data resource for human population geneticists. Almost all of the available SNP loci, however, have been identified through a SNP discovery protocol that will influence the allelic distributions in the sampled...

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Detalles Bibliográficos
Autor principal: Nielsen, Rasmus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2004
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3525085/
https://www.ncbi.nlm.nih.gov/pubmed/15588481
http://dx.doi.org/10.1186/1479-7364-1-3-218
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author Nielsen, Rasmus
author_facet Nielsen, Rasmus
author_sort Nielsen, Rasmus
collection PubMed
description The large single nucleotide polymorphism (SNP) typing projects have provided an invaluable data resource for human population geneticists. Almost all of the available SNP loci, however, have been identified through a SNP discovery protocol that will influence the allelic distributions in the sampled loci. Standard methods for population genetic analysis based on the available SNP data will, therefore, be biased. This paper discusses the effect of this ascertainment bias on allelic distributions and on methods for quantifying linkage disequilibrium and estimating demographic parameters. Several recently developed methods for correcting for the ascertainment bias will also be discussed.
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spelling pubmed-35250852013-05-10 Population genetic analysis of ascertained SNP data Nielsen, Rasmus Hum Genomics Review The large single nucleotide polymorphism (SNP) typing projects have provided an invaluable data resource for human population geneticists. Almost all of the available SNP loci, however, have been identified through a SNP discovery protocol that will influence the allelic distributions in the sampled loci. Standard methods for population genetic analysis based on the available SNP data will, therefore, be biased. This paper discusses the effect of this ascertainment bias on allelic distributions and on methods for quantifying linkage disequilibrium and estimating demographic parameters. Several recently developed methods for correcting for the ascertainment bias will also be discussed. BioMed Central 2004-03-01 /pmc/articles/PMC3525085/ /pubmed/15588481 http://dx.doi.org/10.1186/1479-7364-1-3-218 Text en Copyright ©2004 Henry Stewart Publications
spellingShingle Review
Nielsen, Rasmus
Population genetic analysis of ascertained SNP data
title Population genetic analysis of ascertained SNP data
title_full Population genetic analysis of ascertained SNP data
title_fullStr Population genetic analysis of ascertained SNP data
title_full_unstemmed Population genetic analysis of ascertained SNP data
title_short Population genetic analysis of ascertained SNP data
title_sort population genetic analysis of ascertained snp data
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3525085/
https://www.ncbi.nlm.nih.gov/pubmed/15588481
http://dx.doi.org/10.1186/1479-7364-1-3-218
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