Elad Ziv

TL;DR: It is shown that incorporating cancer-specific PRS measurably improves prediction accuracy for most cancers, but the magnitude of this improvement varies substantially and the potential for improving cancer risk assessment by integrating genetic risk scores is illustrated.

TL;DR: It is estimated that high genetic risk accounts for 4.0% to 30.3% of new cancer cases, which exceeds the impact of many lifestyle-related risk factors, and the utility of PRS for risk stratification.

TL;DR: This work evaluated the performance of 18 submissions and three additional methods in predicting the pathogenicity of single nucleotide variants (SNVs) in checkpoint kinase 2 (CHEK2) for cases of breast cancer in Hispanic females and indicated that though the challenge could benefit from additional participant data, the combined generalized linear model analysis and odds of pathogenity analysis provided a framework to evaluate the methods.

TL;DR: In this paper , the influence of autophagy-related variants in modulating multiple myeloma (MM) risk through a meta-analysis of germline genetic data on 234 autoophagy related genes from three independent study populations including 13,387 subjects of European ancestry (6863 MM patients and 6524 controls) and examined the functional mechanisms behind the observed associations.