Cited by 330Forensic and Genetic ResearchGenetic diversity and population structureForensic Anthropology and Bioarchaeology Studies

Estimating genetic kin relationships in prehistoric populations

Open access
Monroy Kuhn, Jose Manuel, Jakobsson, Mattias, Günther, Torsten·2018·PLOS ONE

Published version of a preprint

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.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1371/journal.pone.0195491

Cites

82 of 82 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • We excluded two individuals from further analysis because genetic patterns showed they were first-degree relatives of higher coverage samples in the dataset.

    “We excluded two individuals from further analysis, as the genetic patterns observed using the method described in Kuhn et al.73. Showed that they were first-degree relatives of higher coverage samples in the dataset.”
  • No first- or second-degree relatives were found among the Ancient Rapanui, and a single pair of third- to fourth-degree relatives was detected.

    “Using READ42 and NGSrelate243, we did not find any first- or second-degree relatives among the Ancient Rapanui (Supplementary Figs. 23 and 24 and Supplementary Information section 9) and detected a single pair of third- to fourth-degree relatives on the basis of IBD sharing (highest estimated IBD sharing >15 cM between any two individuals is <1,000 cM; Supplementary Information section 8 and”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 1

  1. [73]Van Rossum G, et al. Python Programming Language. In: USENIX Annual Technical Conference. vol. 41; 2007.

Cited by

Sorted by citations

Authors
Monroy Kuhn, J. M., Jakobsson, M., & Günther, T.
Affiliations
Uppsala University (SE)
Corresponding author
  • Jakobsson, Mattias
  • Günther, Torsten
Venue
PLOS ONE
Published
2018-04-23
Volume
13
Issue
4
Pages
e0195491
ISSN
1932-6203 (ISSN-L)
OpenAlex
W2950454348
Cited by
330
References
79
Citations by year
2026: 31 · 2025: 47 · 2024: 53 · 2023: 62 · 2022: 40 · 2021: 42 · 2020: 23 · 2019: 19 · 2018: 11 · 2017: 2
FWCI
14.33
Type
journal article
Language
en
Open access
Locations
  • PLoS ONE (publishedVersion, cc-by)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Uppsala University Publications (Uppsala University) (submittedVersion, other-oa)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
  • Figshare (submittedVersion, cc-by)
  • FreiDok plus (Universitätsbibliothek Freiburg) (submittedVersion)
Funders
  • Erasmus Mundus Master Programme in Evolutionary Biology
  • Consejo Nacional de Ciencia y Tecnología
  • European Research Council (311413)
  • Vetenskapsrådet
  • Wenner-Gren-Foundations
  • Riksbankens Jubileumsfond
  • Knut och Alice Wallenbergs Stiftelse
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Forensic and Genetic Research
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic diversity and population structure
  • Social Sciences › Arts and Humanities › Archeology › Forensic Anthropology and Bioarchaeology Studies
Keywords
genetic relatedness, ancient DNA, prehistoric humans, Corded Ware culture, patrilocality, social structure, degraded DNA, shotgun sequencing, human remains
MeSH terms
DNA, Ancient, Computer Simulation, DNA, Mitochondrial, Family, Germany, Haplotypes, Humans, Male, Models, Genetic, Software, Sequence Analysis, DNA, Polymorphism, Single Nucleotide, Chromosomes, Human, Y, DNA Fragmentation

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review