Cancer driver mutations: predictions and reality

D Ostroverkhova, TM Przytycka… - Trends in Molecular …, 2023 - cell.com
Cancer cells accumulate many genetic alterations throughout their lifetime, but only a few of
them drive cancer progression, termed driver mutations. Driver mutations may vary between …

Genome interpretation using in silico predictors of variant impact

P Katsonis, K Wilhelm, A Williams, O Lichtarge - Human genetics, 2022 - Springer
Estimating the effects of variants found in disease driver genes opens the door to
personalized therapeutic opportunities. Clinical associations and laboratory experiments …

Disease variant prediction with deep generative models of evolutionary data

J Frazer, P Notin, M Dias, A Gomez, JK Min, K Brock… - Nature, 2021 - nature.com
Quantifying the pathogenicity of protein variants in human disease-related genes would
have a marked effect on clinical decisions, yet the overwhelming majority (over 98%) of …

Proteingym: Large-scale benchmarks for protein fitness prediction and design

P Notin, A Kollasch, D Ritter… - Advances in …, 2024 - proceedings.neurips.cc
Predicting the effects of mutations in proteins is critical to many applications, from
understanding genetic disease to designing novel proteins to address our most pressing …

The landscape of tolerated genetic variation in humans and primates

H Gao, T Hamp, J Ede, JG Schraiber, J McRae… - Science, 2023 - science.org
Personalized genome sequencing has revealed millions of genetic differences between
individuals, but our understanding of their clinical relevance remains largely incomplete. To …

dbNSFP v4: a comprehensive database of transcript-specific functional predictions and annotations for human nonsynonymous and splice-site SNVs

X Liu, C Li, C Mou, Y Dong, Y Tu - Genome medicine, 2020 - Springer
Whole exome sequencing has been increasingly used in human disease studies.
Prioritization based on appropriate functional annotations has been used as an …

Updated benchmarking of variant effect predictors using deep mutational scanning

BJ Livesey, JA Marsh - Molecular systems biology, 2023 - embopress.org
The assessment of variant effect predictor (VEP) performance is fraught with biases
introduced by benchmarking against clinical observations. In this study, building on our …

Using deep mutational scanning to benchmark variant effect predictors and identify disease mutations

BJ Livesey, JA Marsh - Molecular systems biology, 2020 - embopress.org
To deal with the huge number of novel protein‐coding variants identified by genome and
exome sequencing studies, many computational variant effect predictors (VEPs) have been …

Longitudinal dynamics of clonal hematopoiesis identifies gene-specific fitness effects

NA Robertson, E Latorre-Crespo… - Nature medicine, 2022 - nature.com
Clonal hematopoiesis of indeterminate potential (CHIP) increases rapidly in prevalence
beyond age 60 and has been associated with increased risk for malignancy, heart disease …

[HTML][HTML] Analysis of missense variants in the human genome reveals widespread gene-specific clustering and improves prediction of pathogenicity

M Quinodoz, VG Peter, K Cisarova… - The American Journal of …, 2022 - cell.com
We used a machine learning approach to analyze the within-gene distribution of missense
variants observed in hereditary conditions and cancer. When applied to 840 genes from the …