Jan Graffelman

Nov 7, 2024 | nature.com | Jan Graffelman |Bruce Weir |Jerome Goudet

AbstractThe Jacquard genetic identity coefficients are of fundamental importance in relatedness research. We address the estimation of these coefficients as well as other relationship parameters that derive from them such as kinship and inbreeding coefficients using a concise matrix framework. Estimation of the Jacquard coefficients via likelihood methods and the expectation–maximization algorithm is computationally very demanding for large numbers of polymorphisms.

Mar 29, 2024 | biorxiv.org | Jan Graffelman |Bruce Weir |Jerome Goudet |Univ. Laussane

AbstractThe Jacquard genetic identity coefficients are of fundamental importance in relatedness research. We address the estimation of these coefficients as well as other relatedness parameters that derive from them such as kinship and inbreeding coefficients using a concise matrix framework. Estimation of the Jacquard coefficients via likelihood methods and the expectation--maximization algorithm is computationally very demanding for large numbers of polymorphisms.