Evaluating the applicability of kinship analyses for sedimentary ancient DNA datasets

Abstract Kinship reconstruction in ancient populations provides key insights into past social organization and evolutionary history. Sedimentary ancient DNA (sedaDNA) enables access to deep-time human populations in the absence of skeletal remains. However, it is characterized by severe degradation and the potential mixture of genetic material from multiple individuals, raising questions about its suitability for kinship inference. Here, we use extensive simulations to evaluate the feasibility and limitations of kinship inference in sparse and damaged sedaDNA data, with a focus on Neandertals. We find that the main obstacle to accurate kinship inference in sedaDNA is the presence of multiple contributors to a given sample. To address this, we introduce a simple heterozygosity-based test to identify samples containing DNA from multiple individuals. Guided by these results, we analyze published Neandertal sedaDNA from the Galería de las Estatuas site to assess the practical limits of kinship inference in real sedimentary ancient DNA data. Together, our results define methodological considerations and practical limits for kinship inference in sedimentary ancient DNA.

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Publication Details

Journal
bioRxiv (Cold Spring Harbor Laboratory)
Published
2026-02-02
DOI
https://doi.org/10.64898/2026.02.02.703194
Primary Topic
Forensic and Genetic Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Evaluating the applicability of kinship analyses for sedimentary ancient DNA datasets

Sarah Charlotte Johnson, Pnina Cohen, Elena I. Zavala, Priya Moorjani et al.
bioRxiv (Cold Spring Harbor Laboratory)
Forensic and Genetic Research
article

Evaluating the applicability of kinship analyses for sedimentary ancient DNA datasets

Sarah Charlotte Johnson, Pnina Cohen, Elena I. Zavala, Priya Moorjani, Viviane Slon
article en

Abstract

Abstract Kinship reconstruction in ancient populations provides key insights into past social organization and evolutionary history. Sedimentary ancient DNA (sedaDNA) enables access to deep-time human populations in the absence of skeletal remains. However, it is characterized by severe degradation and the potential mixture of genetic material from multiple individuals, raising questions about its suitability for kinship inference. Here, we use extensive simulations to evaluate the feasibility and limitations of kinship inference in sparse and damaged sedaDNA data, with a focus on Neandertals. We find that the main obstacle to accurate kinship inference in sedaDNA is the presence of multiple contributors to a given sample. To address this, we introduce a simple heterozygosity-based test to identify samples containing DNA from multiple individuals. Guided by these results, we analyze published Neandertal sedaDNA from the Galería de las Estatuas site to assess the practical limits of kinship inference in real sedimentary ancient DNA data. Together, our results define methodological considerations and practical limits for kinship inference in sedimentary ancient DNA.

bioRxiv (Cold Spring Harbor Laboratory)
University of Copenhagen (DK), Laboratory of Molecular Genetics (PL), Evolutionary Genomics (United States) (US), Substance Abuse Free Environment (US), University of Haifa (IL), University of California, Berkeley (US)
Adolph C. and Mary Sprague Miller Institute for Basic Research in Science, University of California Berkeley, Novo Nordisk, Tel Aviv University
Openalex Percentile: Top 65%
Forensic and Genetic Research
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