Moving toward System Genetics through Multiple Trait Analysis in Genome-Wide Association Studies

Area of Science:

• Genetics
• Bioinformatics
• Systems Biology

Background:

• Association studies are fundamental for genotype-phenotype mapping.
• Genetic epidemiological studies often collect data on multiple, correlated traits.
• Traditional analyses typically focus on single traits, overlooking complex interrelationships.

Purpose of the Study:

• To review methods for performing multiple trait analysis in genetic studies.
• To introduce network theory and systems genetics as advanced approaches.
• To discuss the potential of these methods in addressing complex genetic questions.

Main Methods:

• Review of existing multivariate models for systems of equations.
• Introduction of graphical approaches based on network theory.
• Application of network theory to genetics, termed systems genetics.

Main Results:

• Multiple methods for multiple trait analysis have been developed.
• Network theory offers novel graphical approaches.
• Systems genetics provides a framework for complex trait analysis.

Conclusions:

• Advanced methods, including systems genetics, are crucial for analyzing multiple correlated traits.
• Network theory facilitates the study of complex genetic processes like coordinate regulation and pleiotropy.
• These approaches enhance our understanding of genotype-phenotype relationships in complex biological systems.