Evidence map›Paper›PMID 26579215›Full record

ArticleMobile DNA2015

Transposable element polymorphisms recapitulate human evolution.

Lavanya Rishishwar, Carlos E Tellez Villa, I King Jordan

Abstract read
In one paragraph

Article in Mobile DNA, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
–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

45 citing papers in PubMed.

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  16. AnNAR genomics and bioinformatics · 2022
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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

3 authors.

Lavanya RishishwarSchool of Biology, Georgia Institute of Technology, 310 Ferst Drive, Atlanta, GA 30332-0230 USA ; PanAmerican Bioinformatics Institute, Cali, Valle del Cauca Colombia ; BIOS Centro de Bioinformática y Biología Computacional, Manizales, Caldas Colombia.
Carlos E Tellez VillaPanAmerican Bioinformatics Institute, Cali, Valle del Cauca Colombia ; Escuela de Ingeniería de Sistemas y Computación, Universidad del Valle, Santiago de Cali, Colombia.
I King JordanSchool of Biology, Georgia Institute of Technology, 310 Ferst Drive, Atlanta, GA 30332-0230 USA ; PanAmerican Bioinformatics Institute, Cali, Valle del Cauca Colombia ; BIOS Centro de Bioinformática y Biología Computacional, Manizales, Caldas Colombia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe human genome contains several active families of transposable elements (TE): Alu, L1 and SVA. Germline transposition of these elements can lead to polymorphic TE (polyTE) loci that differ between individuals with respect to the presence/absence of TE insertions. Limited sets of such polyTE loci have proven to be useful as markers of ancestry in human population genetic studies, but until this time it has not been possible to analyze the full genomic complement of TE polymorphisms in this way.

resultsFor the first time here, we have performed a human population genetic analysis based on a genome-wide polyTE data set consisting of 16,192 loci genotyped in 2,504 individuals across 26 human populations. PolyTEs are found at very low frequencies, > 93 % of loci show < 5 % allele frequency, consistent with the deleteriousness of TE insertions. Nevertheless, polyTEs do show substantial geographic differentiation, with numerous group-specific polymorphic insertions. African populations have the highest numbers of polyTEs and show the highest levels of polyTE genetic diversity; Alu is the most numerous and the most diverse polyTE family. PolyTE genotypes were used to compute allele sharing distances between individuals and to relate them within and between human populations. Populations and continental groups show high coherence based on individuals' polyTE genotypes, and human evolutionary relationships revealed by these genotypes are consistent with those seen for SNP-based genetic distances. The patterns of genetic diversity encoded by TE polymorphisms recapitulate broad patterns of human evolution and migration over the last 60-100,000 years. The utility of polyTEs as ancestry informative markers is further underscored by their ability to accurately predict both ancestry and admixture at the continental level. A genome-wide list of polyTE loci, along with their population group-specific allele frequencies and FST values, is provided as a resource for investigators who wish to develop panels of TE-based ancestry markers.

conclusionsThe genetic diversity represented by TE polymorphisms reflects known patterns of human evolution, and ensembles of polyTE loci are suitable for both ancestry and admixture analyses. The patterns of polyTE allelic diversity suggest the possibility that there may be a connection between TE-based genetic divergence and population-specific phenotypic differences. Graphical Abstractᅟ.

Indexed as

AdmixtureAluAncestry informative markersHuman ancestryL1PhylogeneticsPolymorphismPopulation geneticsSVATransposable elements

Identifiers

PMID26579215
PMCPMC4647816

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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.