%0 Journal Article
%A Popli, Divyaratan
%A Peyrégne, Stéphane
%A Peter, Benjamin M.
%+ Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Max Planck Society
The Leipzig School of Human Origins (IMPRS), Max Planck Institute for Evolutionary Anthropology, Max Planck Society
Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Max Planck Society
The Minerva Research Group for Bioinformatics, Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Max Planck Society
Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Max Planck Society
Genetic Diversity through Space and Time, Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Max Planck Society
%T KIN: a method to infer relatedness from low-coverage ancient DNA : 
%G eng
%U https://hdl.handle.net/21.11116/0000-000C-9938-9
%R 10.1186/s13059-023-02847-7
%7 2023-01-17
%D 2023
%8 17.01.2023
%* Review method: peer-reviewed
%X 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.
%J Genome Biology
%V 24
%] 10
%I Springer
%@ 1474-760X
%U https://github.com/DivyaratanPopli/Kinship_Inference/releases/tag/v3.1.2https://zenodo.org/record/7067142#.Y-3iYoSZOUk