ArticleMolecular ecology2017
Determination of genetic relatedness from low-coverage human genome sequences using pedigree simulations.
Article in Molecular ecology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Evaluating the performance of ancient DNA genetic relatedness estimation methods using high-fidelity pedigree simulations.Genome biology · 2026Article
- Unearthing who and Y at Harewood Cemetery and inference of George Washington's Y-chromosomal haplotype.iScience · 2024Article
- Patterns of genetic connectedness between modern and medieval Estonian genomes reveal the origins of a major ancestry component of the Finnish population.American journal of human genetics · 2021Article
- Creating artificial human genomes using generative neural networks.PLoS genetics · 2021Article
- Beyond broad strokes: sociocultural insights from the study of ancient genomes.Nature reviews. Genetics · 2020Review
- Article
- Article
- Estimation of kinship coefficient in structured and admixed populations using sparse sequencing data.PLoS genetics · 2017Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
We develop and evaluate methods for inferring relatedness among individuals from low-coverage DNA sequences of their genomes, with particular emphasis on sequences obtained from fossil remains. We suggest the major factors complicating the determination of relatedness among ancient individuals are sequencing depth, the number of overlapping sites, the sequencing error rate and the presence of contamination from present-day genetic sources. We develop a theoretical model that facilitates the exploration of these factors and their relative effects, via measurement of pairwise genetic distances, without calling genotypes, and determine the power to infer relatedness under various scenarios of varying sequencing depth, present-day contamination and sequencing error. The model is validated by a simulation study as well as the analysis of aligned sequences from present-day human genomes. We then apply the method to the recently published genome sequences of ancient Europeans, developing a statistical treatment to determine confidence in assigned relatedness that is, in some cases, more precise than previously reported. As the majority of ancient specimens are from animals, this method would be applicable to investigate kinship in nonhuman remains. The developed software grups (Genetic Relatedness Using Pedigree Simulations) is implemented in Python and freely available.
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Registered trials
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