Evidence map›Paper›PMID 36650598›Full record

ArticleGenome biology2023

KIN: a method to infer relatedness from low-coverage ancient DNA.

Divyaratan Popli, Stéphane Peyrégne, Benjamin M Peter

Abstract read
In one paragraph

Article in Genome biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing 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

62 citing papers in PubMed.

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  15. A high-coverage Neandertal genome from the Altai Mountains reveals population structure among Neandertals.Proceedings of the National Academy of Sciences of the United States of America · 2026
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2 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

3 authors.

Divyaratan PopliDepartment of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany. divyaratan_popli@eva.mpg.de.ORCID 0000-0002-0305-6427
Stéphane PeyrégneDepartment of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany.
Benjamin M PeterDepartment of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany. benjamin_peter@eva.mpg.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic kinship of ancient individuals can provide insights into their culture and social hierarchy, and is relevant for downstream genetic analyses. However, estimating relatedness from ancient DNA is difficult due to low-coverage, ascertainment bias, or contamination from various sources. Here, we present KIN, a method to estimate the relatedness of a pair of individuals from the identical-by-descent segments they share. KIN accurately classifies up to 3rd-degree relatives using at least 0.05x sequence coverage and differentiates siblings from parent-child pairs. It incorporates additional models to adjust for contamination and detect inbreeding, which improves classification accuracy.

Indexed as

DNA, AncientInbreedingHumansDNA, Ancient

Identifiers

PMID36650598
PMCPMC9843908

What OpenQuestion holds

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LicenceCC BY
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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.