Population stratification and spurious allelic association

Area of Science:

• Genetics
• Human Disease Research
• Biostatistics

Background:

• Significant investment in identifying genetic factors for complex diseases.
• Rapid advancements in single nucleotide polymorphism (SNP) detection technology and genome-wide SNP cataloging.
• SNPs are increasingly utilized in investigating the genetic underpinnings of complex human diseases.

Purpose of the Study:

• To review the evidence and methods for detecting and managing population stratification in genotype-phenotype association studies.
• To discuss the evolution of study designs in genetic association analysis.
• To provide recommendations for future research in complex disease genetics.

Main Methods:

• Review of existing literature on population stratification in genetic association studies.
• Discussion of case-control, cohort, and family-based study designs.
• Analysis of methods for detecting and correcting population stratification.

Main Results:

• Population-based studies (case-control, cohort) are practical but susceptible to population stratification, potentially yielding biased results.
• Family-based designs mitigate population stratification but present challenges in genotyping and data acquisition.
• A notable shift in research methodology towards family-based association studies has occurred.

Conclusions:

• Population stratification remains a critical concern in genetic association studies for complex diseases.
• Careful consideration of study design is essential to minimize bias and ensure reliable findings.
• Future research should focus on robust methods for both detection and correction of population stratification.