Evidence map›Paper›PMID 29684051›Full record

ArticlePloS one2018

Estimating genetic kin relationships in prehistoric populations.

Jose Manuel Monroy Kuhn, Mattias Jakobsson, Torsten Günther

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 175 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
175citing papers in PubMed, 1 pooled it
18.6field-weighted citation impact, top 1% 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

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

175 citing papers in PubMed, 1 synthesis or guideline pooled it, 348 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. High-coverage ancient genomes reveal divergent population histories and prehistoric starch-related genetic variation in Japan.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  9. The Genomic Legacy of the Norman Conquest in Rural England.bioRxiv : the preprint server for biology · 2026
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  16. Genomes of the Golden Horde elites and their implications for the rulers of the Mongol Empire.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  17. Article
  18. Article
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115 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 at 1 institution in 1 country.

Jose Manuel Monroy KuhnUppsala University, Evolutionary Biology Centre, Department of Organismal Biology, Norbyvägen 18C, SE-752 36 Uppsala, Sweden.
Mattias JakobssonUppsala University, Evolutionary Biology Centre, Department of Organismal Biology, Norbyvägen 18C, SE-752 36 Uppsala, Sweden.
Torsten GüntherUppsala University, Evolutionary Biology Centre, Department of Organismal Biology, Norbyvägen 18C, SE-752 36 Uppsala, Sweden.ORCID 0000-0001-9460-390X
Uppsala University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Archaeogenomic research has proven to be a valuable tool to trace migrations of historic and prehistoric individuals and groups, whereas relationships within a group or burial site have not been investigated to a large extent. Knowing the genetic kinship of historic and prehistoric individuals would give important insights into social structures of ancient and historic cultures. Most archaeogenetic research concerning kinship has been restricted to uniparental markers, while studies using genome-wide information were mainly focused on comparisons between populations. Applications which infer the degree of relationship based on modern-day DNA information typically require diploid genotype data. Low concentration of endogenous DNA, fragmentation and other post-mortem damage to ancient DNA (aDNA) makes the application of such tools unfeasible for most archaeological samples. To infer family relationships for degraded samples, we developed the software READ (Relationship Estimation from Ancient DNA). We show that our heuristic approach can successfully infer up to second degree relationships with as little as 0.1x shotgun coverage per genome for pairs of individuals. We uncover previously unknown relationships among prehistoric individuals by applying READ to published aDNA data from several human remains excavated from different cultural contexts. In particular, we find a group of five closely related males from the same Corded Ware culture site in modern-day Germany, suggesting patrilocality, which highlights the possibility to uncover social structures of ancient populations by applying READ to genome-wide aDNA data. READ is publicly available from https://bitbucket.org/tguenther/read.

Indexed as

FamilyChromosomes, Human, YComputer SimulationDNA, AncientDNA FragmentationDNA, MitochondrialGermanyHaplotypesHumansMaleModels, GeneticPolymorphism, Single NucleotideSequence Analysis, DNASoftwareDNA, AncientDNA, Mitochondrial

Identifiers

PMID29684051
PMCPMC5912749
OpenAlexW2950454348

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.