Robust relationship inference in genome-wide association studies

Ani Manichaikul; Josyf C. Mychaleckyj; Stephen S. Rich; Kathleen Daly; Michèle M. Sale; Wei‐Min Chen

doi:10.1093/bioinformatics/btq559

October 5, 2010BioinformaticsOpen Access

Robust relationship inference in genome-wide association studies

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Key Points

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.

Implication

Algorithm improves relationship inference in genome-wide association studies, suggesting enhanced analysis capabilities.

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.

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Cite This Study

Manichaikul et al. (2010) studied this question.

synapsesocial.com/papers/69d71e97ef370a38abf50a84 https://doi.org/10.1093/bioinformatics/btq559

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Robust relationship inference in genome-wide association studies

Key Points

Implication

Abstract

Discussion

Cite This Study

Robust relationship inference in genome-wide association studies

Key Points

Implication

Abstract

Discussion

Cite This Study

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