Literature DB >> 11459422

Effects of ascertainment bias on recovering human demographic history.

E Eller1.   

Abstract

In recent years multilocus data sets have been used to study the demographic history of human populations. In this paper (1) analyses previously done on 60 short tandem repeat (STR) loci are repeated on 30 restriction site polymorphism (RSP) markers; (2) relative population weights are estimated from the RSP data set and compared to previously published estimates from STR and craniometric data sets; and (3) computer simulations are performed to show the effects of ascertainment bias on relative population weight estimates. Not surprisingly, given that the RSP markers were originally identified in a small panel of Caucasians, estimates of relative population weights are biased and the European population weight is artificially inflated. However, the effects of ascertainment bias are not apparent in a principal components plot or estimates of FST. Ascertainment bias can have a large effect in other genetic systems with inherently low heterozygosity such as Alus or single nucleotide polymorphisms (SNPs), and care must be taken to have prior knowledge of how polymorphic markers in a given data set were originally identified. Otherwise, results can be skewed and interpretations faulty.

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Year:  2001        PMID: 11459422     DOI: 10.1353/hub.2001.0034

Source DB:  PubMed          Journal:  Hum Biol        ISSN: 0018-7143            Impact factor:   0.553


  9 in total

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Review 4.  SNP ascertainment bias in population genetic analyses: why it is important, and how to correct it.

Authors:  Joseph Lachance; Sarah A Tishkoff
Journal:  Bioessays       Date:  2013-07-09       Impact factor: 4.345

Review 5.  Population genetic analysis of ascertained SNP data.

Authors:  Rasmus Nielsen
Journal:  Hum Genomics       Date:  2004-03       Impact factor: 4.639

6.  How do SNP ascertainment schemes and population demographics affect inferences about population history?

Authors:  Emily Jane McTavish; David M Hillis
Journal:  BMC Genomics       Date:  2015-04-03       Impact factor: 3.969

7.  How array design creates SNP ascertainment bias.

Authors:  Johannes Geibel; Christian Reimer; Steffen Weigend; Annett Weigend; Torsten Pook; Henner Simianer
Journal:  PLoS One       Date:  2021-03-30       Impact factor: 3.240

8.  TASSEL-GBS: a high capacity genotyping by sequencing analysis pipeline.

Authors:  Jeffrey C Glaubitz; Terry M Casstevens; Fei Lu; James Harriman; Robert J Elshire; Qi Sun; Edward S Buckler
Journal:  PLoS One       Date:  2014-02-28       Impact factor: 3.240

9.  The genomic ancestry, landscape genetics and invasion history of introduced mice in New Zealand.

Authors:  Andrew J Veale; James C Russell; Carolyn M King
Journal:  R Soc Open Sci       Date:  2018-01-24       Impact factor: 2.963

  9 in total

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