Inferring Identical-by-Descent Sharing of Sample Ancestors Promotes High-Resolution Relative Detection.

ABSTRACT: As genetic datasets increase in size, the fraction of samples with one or more close relatives grows rapidly, resulting in sets of mutually related individuals. We present DRUID-deep relatedness utilizing identity by descent-a method that works by inferring the identical-by-descent (IBD) sharing profile of an ungenotyped ancestor of a set of close relatives. Using this IBD profile, DRUID infers relatedness between unobserved ancestors and more distant relatives, thereby combining information from multiple samples to remove one or more generations between the deep relationships to be identified. DRUID constructs sets of close relatives by detecting full siblings and also uses an approach to identify the aunts/uncles of two or more siblings, recovering 92.2% of real aunts/uncles with zero fa

SUBMITTER: Ramstetter MD 

PROVIDER: S-EPMC6035284 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature