Family-based association analysis: a fast and efficient method of multivariate association analysis with multiple...

Area of Science:

• Genetics
• Statistical Genomics

Background:

• Complex diseases arise from gene-gene and gene-phenotype interactions.
• Joint analysis of multiple markers and phenotypes is an efficient genome-wide association strategy.

Purpose of the Study:

• To propose an omnibus family-based association test for joint analysis of multiple genotypes and phenotypes.
• To develop a statistically efficient and robust method for genetic association studies.

Main Methods:

• An omnibus family-based association test was developed.
• The test accommodates both quantitative and dichotomous phenotypes.
• Robustness to population substructure was assessed with large-scale genomic data.

Main Results:

• The proposed method demonstrated superior statistical efficiency compared to existing approaches using simulated data.
• The test is applicable to both quantitative and dichotomous phenotypes.
• The method proved robust in the presence of population substructure.

Conclusions:

• The novel omnibus test offers enhanced statistical efficiency for joint multi-phenotype and multi-marker analysis.
• The developed C++ application is publicly available for researchers.
• The approach has practical relevance, as shown in its application to obesity-related phenotypes.