Project description:Determining the pathogenicity of human genetic variants is a critical challenge, and functional assessment is often the only option. Experimentally characterizing millions of possible missense variants in thousands of clinically important genes will likely require generalizable, scalable assays. Here we describe Variant Abundance by Massively Parallel Sequencing (VAMP-seq), which measures the effects of thousands of missense variants of a protein on intracellular abundance in a single experiment. We applied VAMP-seq to quantify the abundance of many thousands of single amino acid variants of two proteins, PTEN and TPMT, in which functional variants are clinically actionable.
Project description:Determining the pathogenicity of human genetic variants is a critical challenge, and functional assessment is often the only option. Experimentally characterizing millions of possible missense variants in thousands of clinically important genes will likely require generalizable, scalable assays. We previously developed Variant Abundance by Massively Parallel Sequencing (VAMP-seq), which measures the effects of thousands of missense variants of a protein on intracellular abundance in a single experiment. Here, we reapplied VAMP-seq to quantify the abundances of additional PTEN missense variants which were missing from the original experiment.
Project description:We performed a massively parallel screen in human HAP1 cells to identify loss-of-function missense variants in the key DNA mismatch repair factor MSH2. Resulting variant loss-of-function (LOF) scores are strongly concordant with previous functional evidence and available variant classification.
2020-12-23 | GSE162130 | GEO
Project description:Massively parallel base editing to map variant effects in human hematopoiesis
| PRJNA889818 | ENA
Project description:Massively parallel base editing to map variant effects in human hematopoiesis
