Improved computations for relationship inference using low-coverage sequencing data.
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ABSTRACT:
SUBMITTER: Mostad P
PROVIDER: S-EPMC9999603 | biostudies-literature | 2023 Mar
REPOSITORIES: biostudies-literature
Publications
Improved computations for relationship inference using low-coverage sequencing data.
Mostad Petter P Tillmar Andreas A Kling Daniel D
BMC bioinformatics 20230309 1
Pedigree inference, for example determining whether two persons are second cousins or unrelated, can be done by comparing their genotypes at a selection of genetic markers. When the data for one or more of the persons is from low-coverage next generation sequencing (lcNGS), currently available computational methods either ignore genetic linkage or do not take advantage of the probabilistic nature of lcNGS data, relying instead on first estimating the genotype. We provide a method and software (s ...[more]
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