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2023
DOI: 10.1186/s13059-023-02882-4
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correctKin: an optimized method to infer relatedness up to the 4th degree from low-coverage ancient human genomes

Abstract: Kinship analysis from very low-coverage ancient sequences has been possible up to the second degree with large uncertainties. We propose a new, accurate, and fast method, correctKin, to estimate the kinship coefficient and the confidence interval using low-coverage ancient data. We perform simulations and also validate correctKin on experimental modern and ancient data with widely different genome coverages (0.12×–11.9×) using samples with known family relations and known/unknown population structure. Based on… Show more

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Cited by 9 publications
(6 citation statements)
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“…To investigate the kinship relationships between individuals, we utilized the kinship analysis developed by Nyerki et al. 2023, 51 which has been shown to reliably identify relatedness up to the 4th degree from low coverage genome data. We performed the kinship analysis using the 1240K dataset and the PCAngsd software (version 0.99) from the ANGSD package, 35 with the “-inbreed 1 -kinship” options.…”
Section: Methodsmentioning
confidence: 99%
“…To investigate the kinship relationships between individuals, we utilized the kinship analysis developed by Nyerki et al. 2023, 51 which has been shown to reliably identify relatedness up to the 4th degree from low coverage genome data. We performed the kinship analysis using the 1240K dataset and the PCAngsd software (version 0.99) from the ANGSD package, 35 with the “-inbreed 1 -kinship” options.…”
Section: Methodsmentioning
confidence: 99%
“…In particular, many ancient DNA kinship estimation methods currently address the challenge of inferring kinship from low coverage samples either (i) by computing P(IBD) from genotype likelihoods, to account for the inherent uncertainty of the available genotype calls [7,8], or (ii) by estimating the average pairwise mismatch rate (PMR), usually from randomly sampled pseudohaploid genotypes, and subsequently normalizing these results across all available pairwise comparisons [9,10,11,12]. Despite promising advances in recent years [12,13,14], the current state-ofthe-art regarding the assessment of genetic relatedness from ancient DNA still faces multiple challenges, which most of the currently available methods fail to fully address. On the one hand, maximum likelihood methods such as lcMLkin [7] and NgsRelate-v2 [8] are able to provide precise estimates of kinship well beyond the second degree.…”
Section: State Of the Art And Current Challenges Of Ancient Dna Kinsh...mentioning
confidence: 99%
“…Finally, most ancient DNA kinship estimation methods fail to explicitly account for the presence of modern contamination, sequencing errors, and/or the presence of recent inbreeding amongst studied individuals (KIN and NgsRelate-v2 being notable exceptions). Thus, accurately estimating more distant genetic ties between low-coverage samples, while accounting for the inherent biases of ancient DNA, often remains in practice -despite the promising recent proposals of the KIN [12] and correctKIN [14] methods -an arduous prospect, as evidenced by the fact that several methods explicitly refrain from venturing beyond the second degree of relatedness [11,13].…”
Section: State Of the Art And Current Challenges Of Ancient Dna Kinsh...mentioning
confidence: 99%
“…Independently filtered variant and invariant sites were then combined in a single VCF file using BCFtools v1.16 (Li, 2011) resulting in a total of 650,772 loci. As a final step, we "haploidized" the diploid individuals by randomly assigning heterozygote alleles as either homozygote reference or homozygote alternative using the "pseudoHaploidize" function included in the correctKin package (Nyerki et al, 2023). This procedure was implemented to create a bias-free SNP data set to be processed by algorithms that do not deal with mixed-ploidy populations.…”
Section: Sequencing Mapping and Genotypingmentioning
confidence: 99%