Evidence map›Paper›PMID 39135108›Full record

ArticleGenome biology2024

READv2: advanced and user-friendly detection of biological relatedness in archaeogenomics.

Erkin Alaçamlı, Thijessen Naidoo, Merve N Güler, Ekin Sağlıcan, Şevval Aktürk, Igor Mapelli, Kıvılcım Başak Vural, Mehmet Somel, Helena Malmström, Torsten Günther

Abstract read
In one paragraph

Article in Genome biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing 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

43 citing papers in PubMed.

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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

10 authors.

Erkin AlaçamlıHuman Evolution, Department of Organismal Biology, Uppsala University, Uppsala, Sweden.
Thijessen NaidooAncient DNA Unit, Science for Life Laboratory, Department of Archaeology and Classical Studies, Stockholm University, Stockholm, Sweden.
Merve N GülerDepartment of Health Informatics, Graduate School of Informatics, Middle East Technical University, Ankara, Turkey.
Ekin SağlıcanDepartment of Biological Sciences, Middle East Technical University, Ankara, Turkey.
Şevval AktürkDepartment of Bioinformatics, Graduate School of Health Sciences, Hacettepe University, Ankara, Turkey.
Igor MapelliDepartment of Biological Sciences, Middle East Technical University, Ankara, Turkey.
Kıvılcım Başak VuralDepartment of Biological Sciences, Middle East Technical University, Ankara, Turkey.
Mehmet SomelDepartment of Biological Sciences, Middle East Technical University, Ankara, Turkey.
Helena MalmströmHuman Evolution, Department of Organismal Biology, Uppsala University, Uppsala, Sweden. Helena.Malmstrom@ebc.uu.se.
Torsten GüntherHuman Evolution, Department of Organismal Biology, Uppsala University, Uppsala, Sweden. torsten.gunther@ebc.uu.se.ORCID 0000-0001-9460-390X

Funding

HORIZON EUROPE European Research Council 772390Riksbankens Jubileumsfond P21-0266
6 · The paper itself

Abstract

The advent of genome-wide ancient DNA analysis has revolutionized our understanding of prehistoric societies. However, studying biological relatedness in these groups requires tailored approaches due to the challenges of analyzing ancient DNA. READv2, an optimized Python3 implementation of the most widely used tool for this purpose, addresses these challenges while surpassing its predecessor in speed and accuracy. For sufficient amounts of data, it can classify up to third-degree relatedness and differentiate between the two types of first-degree relatedness, full siblings and parent-offspring. READv2 enables user-friendly, efficient, and nuanced analysis of biological relatedness, facilitating a deeper understanding of past social structures.

Indexed as

ArchaeologyDNA, AncientSoftwareGenomicsHumansPedigreeDNA, AncientAncient DNAArchaeogenomicsKinshipRelatednessSoftware

Identifiers

PMID39135108
PMCPMC11318251

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.