Evidence map›Paper›PMID 23836388›Full record

ReviewBioEssays : news and reviews in molecular, cellular and developmental biology2013

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

Joseph Lachance, Sarah A Tishkoff

Abstract readReview
In one paragraph

Review in BioEssays : news and reviews in molecular, cellular and developmental biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 195 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
195citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

195 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  4. Article
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  6. Development and validation of a high density SNP array for indigenous Indian pigs.Mammalian genome : official journal of the International Mammalian Genome Society · 2026
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135 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Joseph LachanceDepartments of Biology and Genetics, University of Pennsylvania, Philadelphia, PA, USA. lachance.joseph@gmail.com
Sarah A Tishkoff

Funding

African Odyssey: An Integrative Genomics Analysis of Complex Physiologic TraitsDP1ES022577 · NIEHS · UNIVERSITY OF PENNSYLVANIA · PI TISHKOFF, SARAH ANNE · 2012 to 2013
$1.6M
Population Genomics of Geographically and Ethnically Diverse AfricansF32HG006648 · NHGRI · UNIVERSITY OF PENNSYLVANIA · PI LACHANCE, JOSEPH L. · 2012 to 2014
$154k
NCCDPHP CDC HHS DP1 ES022577-04NHGRI NIH HHS F32 HG006648NHGRI NIH HHS F32HG006648-02NIEHS NIH HHS DP1 ES022577
6 · The paper itself

Abstract

Whole genome sequencing and SNP genotyping arrays can paint strikingly different pictures of demographic history and natural selection. This is because genotyping arrays contain biased sets of pre-ascertained SNPs. In this short review, we use comparisons between high-coverage whole genome sequences of African hunter-gatherers and data from genotyping arrays to highlight how SNP ascertainment bias distorts population genetic inferences. Sample sizes and the populations in which SNPs are discovered affect the characteristics of observed variants. We find that SNPs on genotyping arrays tend to be older and present in multiple populations. In addition, genotyping arrays cause allele frequency distributions to be shifted towards intermediate frequency alleles, and estimates of linkage disequilibrium are modified. Since population genetic analyses depend on allele frequencies, it is imperative that researchers are aware of the effects of SNP ascertainment bias. With this in mind, we describe multiple ways to correct for SNP ascertainment bias.

Indexed as

BiasLinkage DisequilibriumPolymorphism, Single NucleotideAfricaAllelesBiological EvolutionGene FrequencyGenetics, PopulationHaplotypesHumansSelection, GeneticAfrican hunter-gatherershuman geneticspopulation geneticsSNP ascertainment biaswhole genome sequencing

Identifiers

PMID23836388
PMCPMC3849385

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.