AKT: ancestry and kinship toolkit.

Area of Science:

• Statistical Genetics
• Genomics
• Bioinformatics

Background:

• Analyzing large whole-genome sequencing (WGS) datasets presents computational challenges.
• Existing tools often lack a unified interface or focus on speed for cohort analysis.

Purpose of the Study:

• To introduce the Ancestry and Kinship Toolkit (AKT), a novel statistical genetics tool.
• To provide a unified and efficient solution for analyzing large WGS cohorts.

Main Methods:

• AKT integrates multiple state-of-the-art statistical genetics methods.
• The toolkit is designed for rapid analysis and a user-friendly interface.
• It processes large cohorts of whole-genome sequenced samples.

Main Results:

• AKT can rapidly detect related samples within large datasets.
• The tool characterizes sample ancestry and calculates variant correlations.
• It performs Mendelian consistency checks and data clustering.

Conclusions:

• AKT offers a fast and unified approach for WGS data curation.
• The toolkit is expected to be invaluable for researchers working with large genomic datasets.
• AKT enhances the analysis of population structure and relatedness in genetic studies.