UCLA

Researchers saw partial overlap between variants influencing age-related methylation and neuronal patterns and those implicated in other traits or diseases.

The technology is based on the work of UCLA's Steve Horvath, who has shown that DNA methylation age could predict all-cause mortality later in life.

The company is aiming to uncover the cause of fibromyalgia and to identify new disease-specific genetic biomarkers.

The University of California, Los Angeles-led team said the approach outperformed two established classification methods.

The funding will, in part, support efforts to expand the project's catalog of functional elements and understand their roles in different contexts.

Using brain samples from individuals with or without autism spectrum disorder, researchers identified H3K27ac histone acetylation marks associated with ASD.

The projects focus on early treatment of prostate cancer and cataloguing mutations in difficult-to-diagnose diseases, among other things.