Scientists at Stanford use a gene therapy technique, called RNA silencing, to treat a heart condition called restrictive cardiomyopathy in mice.
A Stanford scientist and his son harness RNA sequencing to discover the genomic mutation behind the uncommon California poppy.
Stanford scientists have found 16 new genetic variants linked to a greater risk for autism, a finding that could help identify biomarkers for the disorder.
Researchers at Stanford have created an algorithm that predicts how likely CRISPR gene editing will yield off-target mutations.
This In the Spotlight features Helio Costa, a geneticist who has developed an assay currently being used to help cancer patients.
As a freshly minted undergraduate, Kristin Reese had a strange side hustle. With her trusty ice chest, Reese helped collect donor hearts for a research …
A method that broadens the pool of potential donors for stem cell transplants recently saved two young brothers from a severe genetic disease.
Through the Humanwide project, a patient's pharmacogenomic evaluation helped doctors prescribe a pain reliever that is effective for her individual biology.
Stephen Montgomery, a Stanford associate professor of pathology and of genetics, describes how he uses RNA to understand health.
A Stanford researcher explains that genome-wide association studies of psychiatric disorders are far more reliable than older, smaller genetic studies.
Stanford geneticists discuss the future of genomics, including the importance of studying diverse populations for medical research.
Stanford researchers have created an algorithm to detect familial hypercholesterolemia, a hard-to-diagnose genetic disease.
Stanford scientists and collaborators have harnessed CRISPR to replace the mutated gene underpinning the devastating immune disease, SCID-X1.
The prevalence of genetic testing in the United States falls short of the recommended guidelines for women with ovarian cancer, new research indicates.
New research has found that many regions of Mexico lack genetic counselors; increased outreach and training could help, Stanford researcher suggests.
Molecular data identifies breast cancer subgroups likely to recur decades after successful treatment, predicts probable timing and location of metastases.