Population genetic analysis of ascertained SNP data
<p>Abstract</p> <p>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...
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| Format: | Article |
| Language: | English |
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BMC
2004-03-01
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| Series: | Human Genomics |
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| Online Access: | http://www.humgenomics.com/content/1/3/218 |
| _version_ | 1811184045438009344 |
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| author | Nielsen Rasmus |
| author_facet | Nielsen Rasmus |
| author_sort | Nielsen Rasmus |
| collection | DOAJ |
| description | <p>Abstract</p> <p>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.</p> |
| first_indexed | 2024-04-11T13:06:44Z |
| format | Article |
| id | doaj.art-0efcc035e5a04ea3ad8d50d310b3385e |
| institution | Directory Open Access Journal |
| issn | 1479-7364 |
| language | English |
| last_indexed | 2024-04-11T13:06:44Z |
| publishDate | 2004-03-01 |
| publisher | BMC |
| record_format | Article |
| series | Human Genomics |
| spelling | doaj.art-0efcc035e5a04ea3ad8d50d310b3385e2022-12-22T04:22:41ZengBMCHuman Genomics1479-73642004-03-011321822410.1186/1479-7364-1-3-218Population genetic analysis of ascertained SNP dataNielsen Rasmus<p>Abstract</p> <p>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.</p>http://www.humgenomics.com/content/1/3/218single nucleotide polymorphismsascertainment biasstatistical analysislinkage disequilibriumdemographic parameters |
| spellingShingle | Nielsen Rasmus Population genetic analysis of ascertained SNP data Human Genomics single nucleotide polymorphisms ascertainment bias statistical analysis linkage disequilibrium demographic parameters |
| 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 | single nucleotide polymorphisms ascertainment bias statistical analysis linkage disequilibrium demographic parameters |
| url | http://www.humgenomics.com/content/1/3/218 |
| work_keys_str_mv | AT nielsenrasmus populationgeneticanalysisofascertainedsnpdata |