Researchers at Stanford University have connected risk-associated single nucleotide polymorphisms for both Alzheimer's disease and Parkinson's disease to their possible causal genes via single-cell investigations into epigenomic states.
Under the right circumstances, a single mouse can be as good as a group of eight or 10 animals in predicting whether a tumor will respond to a drug, researchers reported at the 2020 EORTC-NCI-AACR (ENA) Molecular Targets meeting on Saturday. The single-animal approach “allows incorporation of more tumor models within the same resource constraints,” Peter Houghton told reporters at a press conference previewing ENA highlights.
Anthony Wynshaw-Boris, professor and chair of the department of genetics and genome sciences at Case Western Reserve University School of Medicine, set a positive tone in his opening talk at the 2020 annual meeting of the American Society of Human Genetics (ASHG). "This is guaranteed to be the best-ever virtual ASHG annual meeting," he told the audience. The opening plenary abstract session, for one, did not disappoint. It began with the definition of a new disease, identified through a new approach, and possibly leading to a new way to think about rheumatic diseases.
CYBERSPACE – “We are not very good at predicting drug response in the clinic,” Ayesha Muhammad told the audience at the 2020 annual meeting of the American Society of Human Genetics (ASHG), “though it is not for lack of trying.” Nevertheless, adverse drug reactions are among the top 10 causes of in-hospital mortality.
The opening plenary abstract session at the 2020 annual meeting of the American Society of Human Genetics (ASHG) began with the definition of a new disease, identified through a new approach, and possibly leading to a new way to think about rheumatic diseases.
Keeping you up to date on recent developments in oncology, including: Study hints cystectomy not the only answer to muscle-invasive bladder cancer; Drugging resistant androgen receptors; ‘Don’t Eat Me’ signal doubles as ‘Don’t Find Me’; New algorithm may aid in oncology drug development.
