Researcher Uses Genomics to Predict His Odds for Disease

FRIDAY, March 16 (HealthDay News) — One man’s example hints at a
future where doctors use genomics to spot and treat diseases before the
patient actually gets sick.

Researchers analyzed the personal genome sequence of the study’s lead
researcher, Michael Snyder, and then used it to determine his risks for
disease. The team then looked at Snyder’s genetic markers — fragments of
DNA — and found that he was at increased risk for a form of skin cancer,
high triglycerides (fat in the blood) and type 2 diabetes.

More specifically, the study found his normal blood sugar levels rose
right after he was infected with RSV, a virus that often leads to
respiratory illnesses such as bronchitis.

Snyder’s spike in blood sugar was similar to spikes associated with the
onset of type 2 diabetes. Through significant dietary and lifestyle
changes, however, Snyder’s blood sugar levels dropped.

“By following markers for the disease as the person [me] came down with
it, it was caught early and managed,” Snyder, chairman of the department
of genetics at Stanford University in Stanford, Calif., said in a news
release. “In the future, this could become a critical part of health care,
where people have their genome sequenced and the information is used to
monitor and manage their health.”

The study appears March 16 in a special issue of Cell.

Researchers call this combination of personal genome sequencing,
analysis of disease risk and extended follow-up of DNA markers
“integrative Personal Omics Profiling,” or iPOP.

“Instead of following just a few tests, this study is the first to
follow tens of thousands of components over a long period of time — now
two years,” Snyder said in the news release. “This allowed the following
of health and disease states at an unprecedented level.”

More information

The U.S. Centers for Disease Control and Prevention provides more
information on genomics and health.

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