The taller you are the more likely you are to get varicose veins, according to Stanford study that researched the genetics of half a million people.
In this Stars of Stanford Medicine Q&A, Kim Kinnear shares her perspective as a graduate student in genetic counseling.
Online outreach and low-cost testing can encourage relatives of cancer patients to assess their own cancer risk through 'cascade' testing.
A team of researchers has used an algorithm to improve newborn screening for genetic diseases, with the hopes of reducing the number of false positives.
The true driver mutations of cancer are almost always common to all metastases in an individual, according to a Stanford scientist and other researchers.
Scientists have developed an algorithm that combines genome sequence data and electronic health information to predict risk for genetic disease.
A workaround avoids a common, dangerous side effect of gene therapy: an autoimmune reaction to the normal protein, which could improve gene therapy.
Heart muscle cells from people with cardiomyopathies have shorter-than-normal telomeres -- the protective caps on chromosomes associated with aging.
For the past four years cardiologist Josh Knowles, MD, PhD, has been treating patients at Stanford who have a little-known but common genetic heart disease called …
Hypertrophic cardiomyopathy is caused by various genetic mutations that cause heart muscle to contract with too much force. New research suggests why.
Humans' big brains may increase the risk of psychiatric disorders. Stanford researchers identify previously hidden DNA region that could be to blame.
People who develop abnormal numbers of skin cancers called basal cell carcinomas may be at increased risk of other, unrelated internal cancers.
A genetic test may predict at an early age those likely to develop osteoporosis. Knowing your risk may allow easy interventions to prevent future fractures.
Continuously monitoring blood sugar levels turns up new evidence to suggest that more people have sharp increases in their blood sugar than expected.
Direct-to-consumer raw genetic data can be inaccurate, resulting in harm to patients and unnecessary costs to the health care system, new research suggests.
Today, diagnosing rare genetic diseases requires slow, educated guesswork, but a team of Stanford experts is automating the process.
