This research presents an algorithm designed to improve the accuracy of relationship inference in genome-wide association studies.
The algorithm is implemented in a software package called KING.
The software is freely available for public download.
The focus is on enhancing the analysis of genetic relationships.
The algorithm demonstrates improved relationship inference compared to existing methods.
KING's performance is highlighted through various test scenarios.
Abstract
Our robust relationship inference algorithm is implemented in a freely available software package, KING, available for download at http://people.virginia.edu/∼wc9c/KING.