Rutharra Ghayadthri Manisekaran

Combining MAVEs and computational predictors improves variant classification across ancestries in hereditary cancer genes

Many commonly used computational tools for variant effect prediction exhibit ancestry-related bias because they are trained on clinical or population datasets that under-represent global diversity, leading to uneven and sometimes unfair variant classification across ancestries. M...