RelateAdmix

RelateAdmix estimates pairwise relatedness between individuals with admixed ancestry and computes probabilities of identity by descent (IBD) for applications in population genetics and disease-mapping.

Key Features:

• Maximum Likelihood Estimation: Employs maximum likelihood estimation to derive pairwise relatedness metrics and IBD probabilities from genetic data.
• Performance compared to existing tools: Demonstrated superior accuracy in simulated datasets relative to REAP, KING, and Plink for admixed populations.
• Efficiency: Processes large genetic datasets rapidly to support extensive studies.

Scientific Applications:

• Population genetics and evolutionary biology: Quantifies relatedness in admixed populations to inform studies of population structure and evolutionary history.
• Disease mapping: Estimates genome-wide IBD sharing probabilities to support mapping of disease loci using distantly related individuals.

Methodology:

Implemented in C and R and uses maximum likelihood estimation to compute pairwise relatedness and IBD probabilities.