Evaluating coverage of genome-wide association studies

Area of Science:

• Genetics
• Genomics
• Population Genetics

Background:

• Genome-wide association studies (GWAS) are increasingly utilizing hundreds of thousands of single nucleotide polymorphisms (SNPs).
• Selecting appropriate SNPs for genotyping is a critical early challenge in GWAS design.
• Predefined, commercially available marker panels are commonly used for first-generation genome-wide scans due to practicality.

Purpose of the Study:

• To compare different SNP selection approaches for genome-wide association studies.
• To evaluate the genome coverage provided by first-generation high-throughput genotyping platforms.

Main Methods:

• Comparison of various SNP selection strategies.
• Assessment of genome coverage for common variation in non-African populations.
• Analysis of factors influencing coverage, including allele frequencies and study design.

Main Results:

• Many current SNP selection methods provide substantial coverage of common genetic variation in non-African populations.
• The precise extent of genome coverage is significantly influenced by allele frequencies and specific study design considerations.
• First-generation high-throughput genotyping platforms demonstrate comparable genome coverage despite variations in technology and marker selection.

Conclusions:

• The choice of SNPs is a crucial factor impacting the success of genome-wide association studies.
• While predefined marker panels offer broad coverage, their efficacy is nuanced and depends on specific genetic and design parameters.
• Current high-throughput platforms provide similar genome coverage, suggesting a degree of standardization in early GWAS efforts.