FIGG making headlines
The most famous criminal case solved by Forensic Investigative Genetic Genealogy (FIGG) is that of the Golden State Killer, who was responsible for more than 100 violent crimes, including home invasions, rapes and murders in the 1970s and 80s. He had evaded capture for decades because his traditional DNA “fingerprint” did not match any existing profile in the police database. But his luck ran out when investigators uploaded DNA taken from an old crime scene sample to open-source genealogical databases, which led them to the relatives of Joseph James DeAngelo, an ex-cop turned truck mechanic. DeAngelo was finally arrested in April 2018 at the age of 72 and is serving multiple life sentences.
While traditional DNA fingerprinting cannot identify kinships beyond parents, siblings and children, so-called first-degree relations, FIGG can generate genetic associations to the fourth and fifth degree – great-great-great grandparents, first cousins once removed, great grand nephews and nieces. This means every sample used in FIGG can currently be linked to thirty to forty times more people than a traditional DNA fingerprint, which relies on so-called short-tandem repeat (STR) markers that are less informative over multiple generations.
This not only gives FIGG unprecedented power to solve recent crimes and the ever-rising number of cold cases like that of the Golden State Killer. It also heralds a step-change in the identification of casualties caused by natural disasters, other mass-casualty events and wars. For example, SNP markers could help identify unidentified victims of Russia’s attack on Ukraine, buried alone or in mass graves. Their SNP markers would be compared to those in a database of DNA samples donated by Ukrainians who are in search of missing loved ones.
The inter-generational reach of SNP markers means any database has to represent only a small minority of any population to guarantee substantial coverage. Whereas the 20 million STR analyses currently stored by the FBI in its “CODIS” database are a potential match for one US citizen in ten, the same number of SNP samples would link to 99 percent of the population. But getting these three-in-a-hundred citizens to volunteer their DNA to help hunt criminals or find missing people requires public confidence in how DNA data is used.