About the Webinar

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

About Presenter


Dr. Bhaven Mehta joined GENEWIZ in 2019 and is currently the Assistant Manager of the Next Generation Sequencing (NGS) team. In his role, Dr. Mehta combines his passion for NGS and customer support to deliver innovative, scalable, and cutting-edge solutions to customers of GENEWIZ’s NGS services across multiple disciplines. Dr. Mehta completed his Ph.D. in Molecular and Systems Biology at Dartmouth College. During his doctoral work, he studied how transcriptomic heterogeneity in patient populations can predict differential response to therapy in clinical trials of systemic sclerosis. For more on Dr. Mehta’s professional journey, you can follow him on LinkedIn.

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