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Measuring and using admixture to study the genetics of complex diseases
Indrani Halder1, Mark D Shriver
1Department of Anthropology, Pennsylvania State University, University Park, PA 16801, USA.
Human Genomics
|December 17, 2004
Summary
Admixture linkage disequilibrium (ALD) aids complex disease genetics research. Understanding admixture mapping (AM) models and population stratification is crucial for accurate gene association studies and identifying disease-related genes.
Area of Science:
- Evolutionary genetics
- Genomic medicine
- Population genetics
Background:
- Admixture is a significant evolutionary process impacting complex disease genetics.
- Admixture linkage disequilibrium (ALD) arises from admixture and persists over long genetic distances in recently admixed populations.
Purpose of the Study:
- To explore the utility of admixture and ALD in complex disease genetics.
- To review admixture mapping (AM) methodologies, including marker selection and population stratification.
- To discuss the implications of AM for gene mapping studies using a model phenotype.
Main Methods:
- Discussion of various admixture models and their influence on AM study success.
- Review of methods for detecting and controlling population stratification in genetic studies.
- Analysis of ancestry-phenotype correlations in case/control and AM studies.
Main Results:
- ALD extent is influenced by admixture level, marker informativeness, and population admixture dynamics.
- Population stratification, arising from variations in individual admixture, can be a source of power or a confounder in genetic association studies.
- Individual ancestry-phenotype correlations have been demonstrated, with skin pigmentation serving as a model.
Conclusions:
- Admixture and ALD are valuable tools for complex disease genetics, but require careful methodological consideration.
- Effective marker selection and robust control for population stratification are essential for successful admixture mapping.
- Understanding the limitations of AM is critical for designing effective studies in complex disease gene mapping.