A model averaging approach for improved in silico variant prediction

Session:
#679
Date:
Wednesday, Oct 18, 2017 2:00pm – 3:00pm
Conference:
ASHG 2017
Authors:
Aaron Elliott, Dajun Qian, Mary Helen Black, Shuwei Li, Yuan Tian
  • A variety of in silico scores are currently utilized in missense variant assessment as evidence of pathogenicity. Information from these scores is typically selected manually or using stepwise regression procedures.
  • We developed a gene-specific model averaging approach that improved model robustness and prediction performance in assigning benign and pathogenic evidence to missense variants when assessing a collection of in silico scores.
  • Our model averaging method also provides a gene-specific relative importance index for each in silico score, which may be a valuable resource for variant interpretation.