Genetic epidemiology holds immense potential to revolutionise our understanding of human disease aetiology, progression, and prevention. In a recently published editorial in Frontiers, our Managing Director and Chief Scientist, Chris Foley PhD, and Director of Health Data Science, Zhana Kuncheva PhD, discuss the critical developments and challenges in the field. Their editorial, part of the… Continue reading Methods in Applied Genetic Epidemiology 2022
Tag: isGWAS
isGWAS Showcased at ESHG2024 in Berlin
We are delighted to announce that bioXcelerate AI’s innovative work was showcased at the prestigious European Society of Human Genetics (ESHG) Conference in Berlin. The ESHG event is a key platform for geneticists from Europe and around the world to share breakthroughs and advancements in human genetics research. At the conference, Dr. Heiko Runz, a… Continue reading isGWAS Showcased at ESHG2024 in Berlin
isGWAS: ultra-high-throughput, scalable and equitable inference of genetic associations with disease
Objective: The aim of this research was to develop scalable and efficient algorithms, namely the in-silico GWAS (isGWAS) and leapfrog re-sampler (LRS), to overcome significant challenges in genome-wide association studies (GWAS). These challenges include the dependency on sensitive individual-level data, daunting computational demands arising from increasing cohort sizes and genetic variants, and limitations in traditional… Continue reading isGWAS: ultra-high-throughput, scalable and equitable inference of genetic associations with disease