BREADR was developed specifically when we were analysing and writing the paper Extensive pedigrees reveal the social organization of a Neolithic community.
BREADR uses a Bayesian approach to estimating genetic relatedness, and from an Eigenstrat data format gives posterior probabilities of a pair of individuals being Identical/Twins, First-degree related (Parent-Child or Siblings), Second-Degree related (Grandparent-Grandchild, Aunt/Uncle-Nephew/Niece, Half-siblings) or Unrelated (Third-degree or "less" related). Our method also allows for visualisation of either (a) whole sample overview, or (b) pairwise relationships. We also implement a binomial test for whether a relationship of the kth degree is "reasonable".
BREADR can be installed via CRAN. We are continuing to develop the method and R package.
BREADR uses a Bayesian approach to estimating genetic relatedness, and from an Eigenstrat data format gives posterior probabilities of a pair of individuals being Identical/Twins, First-degree related (Parent-Child or Siblings), Second-Degree related (Grandparent-Grandchild, Aunt/Uncle-Nephew/Niece, Half-siblings) or Unrelated (Third-degree or "less" related). Our method also allows for visualisation of either (a) whole sample overview, or (b) pairwise relationships. We also implement a binomial test for whether a relationship of the kth degree is "reasonable".
BREADR can be installed via CRAN. We are continuing to develop the method and R package.
