Evidence map›Paper›PMID 39028337›Full record

ArticleMammalian genome : official journal of the International Mammalian Genome Society2024

Evaluation of genotype imputation using Glimpse tools on low coverage ancient DNA.

Hande Çubukcu, Gülşah Merve Kılınç

Abstract read
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In one paragraph

Article in Mammalian genome : official journal of the International Mammalian Genome Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
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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.

Hande ÇubukcuDepartment of Bioinformatics, Graduate School of Health Sciences, Hacettepe University, 06100, Ankara, Turkey.
Gülşah Merve KılınçDepartment of Bioinformatics, Graduate School of Health Sciences, Hacettepe University, 06100, Ankara, Turkey. gulsahkilinc@hacettepe.edu.tr.

Funding

TUBITAK BIDEB NO:2210
6 · The paper itself

Abstract

Ancient DNA provides a unique frame for directly studying human population genetics in time and space. Still, since most of the ancient genomic data is low coverage, analysis is confronted with a low number of SNPs, genotype uncertainties, and reference-bias. Here, we for the first time benchmark the two distinct versions of Glimpse tools on 120 ancient human genomes from Eurasia including those largely from previously under-evaluated regions and compare the performance of genotype imputation with de facto analysis approaches for low coverage genomic data analysis. We further investigate the impact of two distinct reference panels on imputation accuracy for low coverage genomic data. We compute accuracy statistics and perform PCA and f

Indexed as

DNA, AncientGenome, HumanGenotypePolymorphism, Single NucleotideGenetics, PopulationGenomicsHumansSoftwareDNA, AncientAncient DNAGenotype imputationGlimpse2Low coverageReference bias

Identifiers

What OpenQuestion holds

Textmetadata
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.