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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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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2004
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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. |
format | Online Article Text |
id | pubmed-3525085 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2004 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT nielsenrasmus populationgeneticanalysisofascertainedsnpdata |