Asking participants in genetic databases about their family’s medical history can help researchers uncover genetic variants tied to uncommon conditions. Because people share 50 percent of their DNA with each of their parents, siblings and children, the DNA of the participants holds clues to the conditions of these relatives.
Large genomic databases are indispensable for scientists looking for genetic variations associated with diseases. But they come with privacy risks for people who contribute their DNA. To address those concerns, a system developed by Bonnie Berger and Sean Simmons, computer scientists at MIT, masks the donor’s identity by adding a small amount of noise, or random variation, to the results it returns on a user’s query.
With the Thursday launch of its AncestryHealth website, Ancestry continues to play Microsoft to 23andMe’s Apple. It may not be as innovative in the burgeoning field of consumer genetics, but it’s an able competitor nonetheless.