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correctKin: an optimized method to infer relatedness up to the 4th degree from low-coverage ancient human genomes.

Emil NyerkiTibor KalmárOszkár SchützRui M LimaEndre NeparáczkiTibor TörökZoltán Maróti
Published in: Genome biology (2023)
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 our results, correctKin allows for the reliable identification of relatedness up to the 4th degree from variable/low-coverage ancient or badly degraded forensic whole genome sequencing data.
Keyphrases
  • electronic health record
  • affordable care act
  • big data
  • endothelial cells
  • healthcare
  • high resolution
  • data analysis
  • machine learning
  • dna methylation
  • mass spectrometry
  • pluripotent stem cells
  • genetic diversity