Stanford geneticists discuss the future of genomics, including the importance of studying diverse populations for medical research.
Stanford scientists and collaborators have harnessed CRISPR to replace the mutated gene underpinning the devastating immune disease, SCID-X1.
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.
Scientists at Stanford have developed a tool that helps them track "off-target" gene edits that come as an accidental result of gene editing.
With a DNA test, Dani Shapiro discovered that the man she had thought was her father was not. She discussed the finding, and her writing, on campus.
Stanford scientists have devised a way to predict the severity of dengue cases using a set of 20 genes and specific expression patterns.
Long non-coding RNAs are important but poorly understood regulatory elements. Now Stanford scientists have uncovered they play a role in autism.
A team of Stanford researchers has investigated several ways to block CRISPR gene editing and have found one that seems to work best.
Fragile DNA may be key to major evolutionary changes in species as diverse as fish and humans, Stanford researchers believe
Researchers leverage studies in fruit flies to identify a potential treatment for people with neurodegenerative disorder called spinocerebellar ataxia.
New Stanford research found that knowing your genetic make-up can affect how your body responds and potentially affect your risk for certain conditions.
Proteins that guide transcription factors from the nuclear membrane to the DNA cause drug-resistant skin cancers and are new targets for drug development.
DNA looping, or folding, directs a cell's developmental fate. Harnessing this 'DNA origami' could help researchers generate specific tissues for therapies.
Geneticist Michael Snyder has tracked the expression of his genes for three years, focusing on changes in response to chronic or acute disease.
A Stanford team has developed an algorithm that uses data about tumors to identify new classifications that can provide information about patient outcomes