GWASAnalysen
GWASAnalysen describe analyses conducted in genome-wide association studies to identify genetic variants associated with traits or diseases across the genome. The primary unit of analysis is the SNP, though other variants and haplotypes can be considered. These analyses rely on large cohorts with genome-wide genotype data and measured phenotypes.
Typical workflows include rigorous quality control, adjustments for population structure and relatedness, and variant-wise statistical tests.
Outputs comprise effect estimates, standard errors, p-values, and summary statistics; visualizations include Manhattan and QQ plots.
Limitations include small effect sizes, confounding by population structure, phenotypic heterogeneity, and limited transferability across populations.