Skip to main content

A popular genealogy website just helped solve a serial killer cold case in Oregon

On Thursday, detectives in Portland, Ore. announced that a long-cold local murder case finally came to a resolution, 40 years after the fact.

In 1979, 20-year-old Anna Marie Hlavka was found dead in the Portland apartment she shared with her fiance and sister. According to police, she was strangled to death and sexually assaulted. Police followed a number of leads and kept tabs on the case for decades without a breakthrough.

Last May, detectives with Portland’s Cold Case Homicide Detail dug back into the case using the methodology made famous when investigators tracked down the man believed to be the Golden State Killer last year.

Around that time, Detectives working the Hlavka case reached out to a company called Parabon NanoLabs to determine if their case could be solved the same way, by cross-referencing the suspect’s DNA with public DNA profiles uploaded to GEDmatch, a popular free ancestry and genealogy database.

“Most of our cases are cold cases, many of which are decades old like Anna Marie’s case,” Parabon Chief Genetic Genealogist CeCe Moore told TechCrunch in an email interview.

Many law enforcement agencies are already familiar with a Parabon service called Snapshot Phenotype, which allows the company to predict aspects of a person’s physical appearance using only DNA. At Parabon, Moore’s team has successfully identified 33 individuals for law enforcement since its launch in May 2018. The team works both cold cases and active investigations.

Moore explained how her team takes a suspect’s DNA and uploads it into GEDmatch. There, the team can identify potential relatives, usually distant cousins and not close relatives.

“We build their family trees and then try to determine who might be related to all of these different people and their ancestors,” Moore said. “When we are successful, we reverse engineer the family tree of the unknown suspect based on the trees of the people who share DNA with him in GEDMatch.”

According to the police bureau’s report, the breakthrough led them to Texas:

“The forensic genealogist was able to map three of the four familial lines of the killer and identified the killer as Jerry Walter McFadden, born March 21, 1948. McFadden was a convicted murderer and was executed by the State of Texas in October 1999. Due to McFadden’s execution date, his DNA profile was never entered into the FBI CODIS database for comparison.

Detectives travelled to Texas to interview McFadden’s family members and obtain a confirmatory DNA standard to compare with the DNA evidence in the Hlavka murder. Detectives obtained DNA standards with their consent from members of McFadden’s family. Detectives also learned McFadden traveled to the Pacific Northwest in 1979 with an acquaintance from their home town. The woman reported dropping him off in Portland and having no further contact with him.”

The case is the latest example of how the popularity of at-home DNA test kits — and the data they yield, often uploaded into open online genealogy databases — is a windfall for investigators. In the instance of McFadden, the DNA trail led to some surprising connections.

“In an earlier case I worked on [the 1981 murder of Ginny Freeman of Brazos, Texas], genetic genealogy analysis also led to a man who had been executed in 1999 in Texas, James Otto Earhart,” Moore told TechCrunch.

“It is really strange to think that these two serial killers that we identified through genetic genealogy a few months apart decades after their crimes, were on Texas death row together and executed the same year.



from TechCrunch https://tcrn.ch/2Sge0ZI
via IFTTT

Comments

Popular posts from this blog

The Silent Revolution of On-Device AI: Why the Cloud Is No Longer King

Introduction For years, artificial intelligence has meant one thing: the cloud. Whether you’re asking ChatGPT a question, editing a photo with AI tools, or getting recommendations on Netflix — those decisions happen on distant servers, not your device. But that’s changing. Thanks to major advances in silicon, model compression, and memory architecture, AI is quietly migrating from giant data centres to the palm of your hand. Your phone, your laptop, your smartwatch — all are becoming AI engines in their own right. It’s a shift that redefines not just how AI works, but who controls it, how private it is, and what it can do for you. This article explores the rise of on-device AI — how it works, why it matters, and why the cloud’s days as the centre of the AI universe might be numbered. What Is On-Device AI? On-device AI refers to machine learning models that run locally on your smartphone, tablet, laptop, or edge device — without needing constant access to the cloud. In practi...

Apple’s AI Push: Everything We Know About Apple Intelligence So Far

Apple’s WWDC 2025 confirmed what many suspected: Apple is finally making a serious leap into artificial intelligence. Dubbed “Apple Intelligence,” the suite of AI-powered tools, enhancements, and integrations marks the company’s biggest software evolution in a decade. But unlike competitors racing to plug AI into everything, Apple is taking a slower, more deliberate approach — one rooted in privacy, on-device processing, and ecosystem synergy. If you’re wondering what Apple Intelligence actually is, how it works, and what it means for your iPhone, iPad, or Mac, you’re in the right place. This article breaks it all down.   What Is Apple Intelligence? Let’s get the terminology clear first. Apple Intelligence isn’t a product — it’s a platform. It’s not just a chatbot. It’s a system-wide integration of generative AI, machine learning, and personal context awareness, embedded across Apple’s OS platforms. Think of it as a foundational AI layer stitched into iOS 18, iPadOS 18, and m...

Billionaire clothing dynasty heiress launches Everybody & Everyone to make fashion sustainable

Veronica Chou’s family has made its fortune at the forefront of the fast fashion business through investments in companies like Michael Kors and Tommy Hilfiger . But now, the heiress to an estimated $2.1 billion fortune is launching her own company, Everybody & Everyone , to prove that the fashion industry can be both environmentally sustainable and profitable. There’s no argument about the negative impacts of the fashion industry on the environment. The textiles industry primarily uses non-renewable resources — on the order of 98 million tons per year. That includes the oil to make synthetic fibers, fertilizers to grow cotton, and toxic chemicals to dye, treat, and produce the textiles used to make clothes. The greenhouse gas footprint from textiles production was roughly 1.2 billion tons of CO2 equivalent in 2015 — more than all international flights and maritime shipments combined (and a lot of those maritime shipments and international flights were hauling clothes). The lit...