Genetic Echoes: The Open-Source Capture of the Golden State Killer
DNA Genealogy, Privacy, and the Revolutionary Overhaul of Cold Case Forensics, 2018
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Beschreibung
Uncover the revolutionary genetic investigation that used open-source genealogy websites to finally identify and capture the elusive Golden State Killer.
How do you catch a meticulous, ghost-like serial killer who terrorized a state for a decade and successfully evaded the FBI for over forty years? You don't use traditional police work; you use the consumer DNA testing kits of his distant, unsuspecting relatives. The 2018 capture of the Golden State Killer completely revolutionized modern forensic science.
After decades of dead ends, investigator Paul Holes took a radical, legally unprecedented approach. He uploaded the killer's preserved DNA profile to GEDmatch, an open-source genealogy website used by hobbyists to find distant cousins. The algorithm identified several third cousins of the killer. By painstakingly constructing massive family trees dating back to the 1800s, and cross-referencing age, location, and military records, investigators mathematically funneled the genetic branches down to a single branch, leading them directly to the front door of Joseph James DeAngelo, a former police officer.
This gripping true-crime narrative explores the intersection of biotechnology and justice. It documents the agonizing history of the original crimes, the brilliant genetic sleuthing of the investigative team, and the profound, controversial privacy implications of law enforcement weaponizing commercial DNA databases.
You cannot hide from your own bloodline. The capture of the Golden State Killer proves that in the age of genetic data, the DNA of a distant cousin is a stronger witness than any camera.
Autor*in
Erin Sutton
Author
Themen in »Genetic Echoes: The Open-Source Capture of the Golden State Killer«
golden state killer capture dna genealogy forensics open source criminal investigation cold case breakthroughs gedmatch privacy joseph james deangelo true crime genetics