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Population genetic analysis of ascertained SNP data

Open access
Nielsen, Rasmus·2004·Human Genomics

Abstract

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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Metadata

Authors
Nielsen, R.
Venue
Human Genomics
Published
2004
Volume
1
Issue
3
Pages
218
ISSN
  • 1473-9542 (ISSN-L)
  • 1479-7364
OpenAlex
W2135124881
Cited by
167
References
3
FWCI
3.37
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Population genetic analysis of ascertained SNP data. https://app.cochat.ai/papers/10.1186/1479-7364-1-3-218
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Nielsen, R. (2004). Population genetic analysis of ascertained SNP data. Human Genomics. https://doi.org/10.1186/1479-7364-1-3-218

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.