Application of deep mutational scanning data for MLH1 variant interpretation

Date:
Thursday, Oct 26, 2023 8:00am – 1:30pm
Conference:
CGA-IGC 2023
Authors:
Anthony Scott, Ashley P.L. Marsh, Bala Burugula, Felicia Hernandez, Grace Clark, Jacob Kitzman, Matthew Varga, Rachid Karam, PhD, Sajini Jayakody, Sami Belhadj, Xiaoyan Jia
Collaborators:

Take home points:  

  1. Investigators found high correlation between DMS functional scoring and clinical classifications wherein variants with abnormal DMS-function were typically classified as pathogenic and normal DMS-function were classified as benign. 

  1. Improved Lynch Syndrome Interpretation: Integrating DMS data into clinical databases enabled precise assessment of MLH1 missense variants. DMS-guided reclassification for uncertain variants improves genetic testing accuracy and clinical decision-making. 

  1. Overall demonstrated a successful validation of saturation scale functional testing via DMS to provide evidence for improved MLH1 variant interpretation.