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Large-Scale Multi-Omics Genome-Wide Association Studies (Mo-GWAS): Guidelines for Sample Preparation and Normalization

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Published on: July 27, 2021

Family-based methods for linkage and association analysis.

Nan M Laird¹, Christoph Lange

¹Department of Biostatistics, Harvard School of Public Health, Boston, MA 02115, USA.

Advances in Genetics

|March 25, 2008

Summary

This summary is machine-generated.

Family-based genetic studies leverage Mendelian transmission for robust association analysis, overcoming confounding common in traditional epidemiological designs. These methods effectively test genetic linkage and association for various traits.

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Area of Science:

Genetics
Epidemiology
Biostatistics

Background:

Traditional epidemiological designs like case-control and cohort studies are foundational in genetic association analysis.
Population substructure can introduce confounding and variance inflation in standard genetic association study designs.
Family-based designs offer an alternative approach utilizing Mendelian transmission for robust genetic analysis.

Purpose of the Study:

To explore the application and advantages of family-based designs in genetic association studies.
To detail basic study designs and general analytic approaches for qualitative, quantitative, and complex traits within family-based frameworks.
To review available software tools for family-based genetic analysis.

Main Methods:

Utilizing Mendelian transmission principles for design-independent randomization in genetic studies.
Employing family-based designs to enhance robustness against confounding and population substructure.
Applying specialized analytic methods for qualitative, quantitative, and complex traits in familial data.

Main Results:

Family-based designs are robust to confounding and variance inflation, particularly in the presence of population substructure.
These designs simultaneously test for both genetic linkage and association.
Family-based approaches provide a natural solution for addressing multiple comparison issues in genetic analyses.

Conclusions:

Family-based designs are a powerful tool in genetic association studies, offering significant advantages over traditional epidemiological approaches.
Specialized analytic methods are required but yield robust results for diverse trait types.
The review of available software facilitates the practical implementation of these designs.