Evidence map›Paper›PMID 19289600›Full record

ArticleMolecular biology and evolution2009

A genomewide comparison of population structure at STRPs and nearby SNPs in humans.

Bret A Payseur, Peicheng Jing

Open access · bronzeAbstract read
In one paragraph

Article in Molecular biology and evolution, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.7field-weighted citation impact, top 15% of its field
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

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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

12 citing papers in PubMed, 25 citations in OpenAlex.

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  11. A genomic portrait of human microsatellite variation.Molecular biology and evolution · 2011
    Article
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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 at 1 institution in 1 country.

Bret A PayseurLaboratory of Genetics, University of Wisconsin, WI, USA. payseur@wisc.edu
Peicheng Jing
University of Wisconsin–Madison · US

Funding

Integrating SNPs and STRPs in Population GeneticsR01HG004498 · NHGRI · UNIVERSITY OF WISCONSIN-MADISON · PI PAYSEUR, BRET A · 2008 to 2012
$1.4M
NHGRI NIH HHS R01 HG004498NHGRI NIH HHS R01HG004498-01A1
6 · The paper itself

Abstract

Patterns of population structure provide insights into evolutionary processes and help identify groups of individuals for genotype-phenotype association studies. With increasing availability of polymorphic molecular markers across genomes, the examination of population structure using large numbers of unlinked loci has become a common practice in evolutionary biology and human genetics. The two classes of molecular variation most widely used for this purpose, short tandem repeat polymorphisms (STRPs) and single-nucleotide polymorphisms (SNPs), differ in mutational properties expected to affect population structure. To measure the relative ability of these loci to describe population structure, we compared diversity at neighboring STRPs and SNPs from 720 genomic regions in the four populations that comprise the Human HapMap. Comparing loci from the same genomic regions allowed us to focus on the contribution of mutational differences (rather than variation in genealogical history) to disparities in population structure between STRPs and SNPs. Relative to average values for SNPs from the same regions, STRPs had lower F(st), but higher G(st)' and I(n) values. STRP-SNP correlations in population structure across genomic regions were statistically significant but weak in magnitude. Separate analyses by repeat type showed that these correlations were driven primarily by tetranucleotide and trinucleotide STRPs; measures of population structure at dinucleotides and SNPs were not significantly correlated. Pairwise comparisons among populations revealed effects of divergence time on differences in population structure between STRPs and SNPs. Collectively, these results confirm that individual STRPs can provide more information about population structure than individual SNPs, but suggest that the difference in structure at STRPs and SNPs depends on local genealogical history. Our study motivates theoretical comparisons of population structure at loci with different mutational properties.

Indexed as

Genome, HumanModels, GeneticGenetic VariationHumansMicrosatellite RepeatsPolymorphism, Single NucleotideStatistics, Nonparametric

Identifiers

PMID19289600
PMCPMC2727377
OpenAlexW1965964120

What OpenQuestion holds

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Read underepoch 390

Registered trials

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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.