New Advances in Disease Risk Prediction

Objectives: The primary goal was to identify genetic variants linked to Alzheimer’s disease (AD) using advanced genomic techniques. The study aimed to enhance understanding of the genetic underpinnings of AD by employing sophisticated methods to analyse large-scale genomic data. Key objectives included pinpointing novel genetic variants associated with AD, elucidating their functional roles, and exploring… Continue reading New Advances in Disease Risk Prediction

A fast and efficient colocalization algorithm for identifying shared genetic risk factors across multiple traits

Objectives: The overarching goal was to employ statistical colocalization as a means to elucidate the causal genes and underlying mechanisms implicated in complex diseases. This objective involved bridging the gap between genome-wide association studies (GWAS) and biological interpretations by prioritizing variants likely to be causal, assessing genetic overlap among related traits, and discerning the presence… Continue reading A fast and efficient colocalization algorithm for identifying shared genetic risk factors across multiple traits