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Researchers introduced the ACTG hierarchical naming system and launched the JoGo 1.0 database to standardize how human gene types are classified. Built from 258 genomes across five continents, the platform catalogs 4.7 million gene types.

Researchers from King’s College London have found that molecules in stool samples can accurately reflect what people eat and how their gut microbiome responds, offering a potential new tool to study nutrition and its impact on health.

Using machine learning models, researchers have identified a potential way to diagnose amyotrophic lateral sclerosis earlier from a blood sample.

University of South Australia researchers developed an AI-based framework that uncovers how groups of genes work together to drive cancer progression. Tested in breast cancer datasets, the method identified known cancer drivers.

Bioengineers developed an erasable blood marker that allows more precise tracking of gene activity in the brain. By using an enzyme to reset serum markers inside the bloodstream, the method removes background noise and reveals subtle changes.

Researchers developed MUTE-Seq, a CRISPR-based method that enriches ultra-rare tumor DNA in blood by removing background wild-type DNA before sequencing. The approach boosted mutation signals up to sixtyfold.

Explore how FAME quantifies the impact of genetic variants on traits, enhancing our understanding of complex genetic interactions.

As they develop, pancreatic cancer cells express the genes that will determine where they metastasize.

A Mount Sinai team showed that the same leukemia mutation behaves differently depending on when it arises during development. Using CRISPR in human blood stem cells, they found prenatal-origin leukemias are more aggressive and treatment-resistant.

A pilot study from Bournemouth University found six regulatory DNA variants – some inherited from Neanderthals and Denisovans – in women with endometriosis. These epigenetic sites respond to modern chemical exposures and may heighten inflammation.