  We linked names and contact information to publicly available profiles in the
Personal Genome Project. These profiles contain medical and genomic
information, including details about medications, procedures and diseases, and
demographic information, such as date of birth, gender, and postal code. By
linking demographics to public records such as voter lists, and mining for
names hidden in attached documents, we correctly identified 84 to 97 percent of
the profiles for which we provided names. Our ability to learn their names is
based on their demographics, not their DNA, thereby revisiting an old
vulnerability that could be easily thwarted with minimal loss of research
value. So, we propose technical remedies for people to learn about their
demographics to make better decisions.
