NgsRelate

NgsRelate estimates pairwise relatedness coefficients between individuals from low-coverage Next Generation Sequencing (NGS) data to enable accurate kinship inference despite genotype uncertainty.

Key Features:

• Pairwise relatedness estimation: Estimates pairwise relatedness coefficients between individuals using NGS data.
• Genotype likelihood-based inference: Utilizes genotype likelihoods rather than called genotypes to incorporate uncertainty from low-depth sequencing.
• Maximum likelihood estimation: Applies maximum likelihood estimation to infer relatedness parameters from genotype likelihoods.
• Low-coverage NGS compatibility: Designed specifically to operate on low-coverage Next Generation Sequencing (NGS) datasets.
• Empirical performance on simulated and real datasets: Demonstrates superior performance relative to genotype-based methods in evaluations on simulated and real datasets.

Scientific Applications:

• Disease mapping: Provides accurate relatedness estimates for disease mapping studies using low-coverage NGS data.
• Population genetics: Enables inference of population-level relatedness and structure from low-depth sequencing data.
• Familial relationship inference: Supports inference of familial relationships and kinship from low-coverage datasets.

Methodology:

Uses genotype likelihoods and maximum likelihood estimation for pairwise relatedness inference, with performance validated on simulated and real datasets.