For more than a decade, genotyping arrays have enabled genome-wide association studies to predict genetic loci associated with disease and identify genotype-phenotype associations. However, they present limitations in terms of identifying rare variants and studying underrepresented populations. Here we propose low-pass whole genome sequencing (LP-WGS or low-coverage whole genome sequencing) as an inexpensive, high-throughput alternative to detect genome-wide genetic variation and discover new, rare variants – overcoming the inherent limitations and biases of genotyping arrays.
What you'll learn:
- The science behind LP-WGS technology, which uses computational methods, such as imputation
- Applications of LP-WGS, from complex-trait association studies to the calculation of genome-wide polygenic risk scores
- Advantages of LP-WGS compared to traditional genotyping arrays