Navigation Links
Predicting risk of stroke from one's genetic blueprint
Date:2/25/2009

Boston, MAA new statistical model could be used to predict an individual's lifetime risk of stroke, finds a study from the Children's Hospital Informatics Program (CHIP). Using genetic information from 569 hospital patients, the researchers showed that their predictive model could estimate an individual's overall risk of cardioembolic stroke -- the most common form of stroke -- with 86 percent accuracy. The findings are reported in the March issue of Stroke.

"For complex diseases like stroke, it's not just a single mutation that will kill you," explains CHIP researcher Marco Ramoni, PhD, the study's senior author, who is also an Associate Professor at Harvard Medical School. "More likely it is an interaction of many factors."

Ramoni, in collaboration with Karen Furie, MD, the director of the stroke unit at Massachusetts General Hospital (MGH), and Rachel Ramoni, DMD, ScD, of the Harvard School of Dental Medicine, identified 569 patients that had presented to MGH's emergency department and outpatient neurology clinics between 2002 and 2005 with symptoms of suspected stroke. They collected genetic information from the 146 patients with confirmed cardioembolic stroke, and 423 controls who were followed and found not to have stroke, and looked for 1,313 genetic variants (called single nucleotide polymorphisms or SNPs) known to correlate with stroke. The SNPs that each patient had were then entered into the model -- known as a Bayesian network which not only identified the genetic variants that correlated with stroke, but also determined how these factors interplayed and the strength of these interactions.

"The model looks for factors, combines them and finds out which are the best predictive factors," explains Ramoni. "It's never one factor at a time, it's always more than one factor. What this technology allows you to do is to generate a network of factors that contribute to stroke."

The researchers found that the model was able to predict an individual's risk of cardioembolic stroke with an accuracy of 86 percent. Ultimately, Ramoni envisions doctors using it as a diagnostic tool: a patient's genetic information would simply be entered into the model, which would correlate and analyze the data and output an overall probability of stroke, based on the stroke-related SNPs in the patient's genome. "It sounds like magic," says Ramoni. "But it's just a piece of technology. It gives hope that we will be able to predict early on whether someone is at risk of getting stroke, and allow you to convince them to make life changes."

"The next step is to get more SNPs," Ramoni adds. "These analyses looked at only 1,313 out of 3.3 million known SNPs. Even a million SNPs would cover the vast majority of the genome. We would get much better predictions."

Ramoni also says that by identifying all the genetic variants that modulate the risk of stroke, it could provide insight into its mechanisms and provide targets for future drugs. He is currently refining the model and believes that this technology could be used to predict inherited risk of many other conditions.


'/>"/>

Contact: Keri Stedman
keri.stedman@childrens.harvard.edu
617-919-3110
Children's Hospital Boston
Source:Eurekalert

Related biology news :

1. UBC study establishes formula for predicting climate change impact on salmon stocks
2. Predicting acute GVHD by gene expression could improve liver stem cell transplant outcomes
3. Predicting the distribution of creatures great and small
4. Predicting the perfect predator
5. Predicting the radiation risk to ESAs astronauts
6. Predicting growth hormone treatment success
7. Trial seeks genetic fingerprint for predicting drug effectiveness
8. Researchers identify a cell type that limits stroke damage
9. Statins may treat blood vessel disorder that can lead to fatal strokes
10. Stroke Belt deaths tied to non-traditional risk factors
11. Study helps explain connection between sleep apnea, stroke and death
Post Your Comments:
*Name:
*Comment:
*Email:
(Date:4/28/2016)... , April 28, 2016 First quarter ... (139.9), up 966% compared with the first quarter of 2015 ... totaled SEK 589.1 M (loss: 18.8) and the operating margin was ... (loss: 0.32) Cash flow from operations was SEK 249.9 ... 2016 revenue guidance is unchanged, SEK 7,000-8,500 M. The ...
(Date:4/26/2016)... 2016 Research and Markets has ... Market 2016-2020"  report to their offering.  , ,     ... The analysts forecast the global multimodal biometrics market ... the period 2016-2020.  Multimodal biometrics is ... as the healthcare, BFSI, transportation, automotive, and government ...
(Date:4/15/2016)...  A new partnership announced today will help ... in a fraction of the time it takes ... life insurance policies to consumers without requiring inconvenient ... Diagnostics, rapid testing (A1C, Cotinine and HIV) and ... weight, pulse, BMI, and activity data) available at ...
Breaking Biology News(10 mins):
(Date:6/27/2016)... 27, 2016   Ginkgo Bioworks , a leading ... was today awarded as one of the World ... world,s most innovative companies. Ginkgo Bioworks is engineering ... real world in the nutrition, health and consumer ... with customers including Fortune 500 companies to design ...
(Date:6/24/2016)... ... June 24, 2016 , ... While the majority of commercial spectrophotometers and fluorometers ... the 6000i models are higher end machines that use the more unconventional z-dimension of ... beam from the bottom of the cuvette holder. , FireflySci has developed several ...
(Date:6/23/2016)... ... June 23, 2016 , ... ... to announce the launch of their brand, UP4™ Probiotics, into Target stores nationwide. ... years, is proud to add Target to its list of well-respected retailers. This ...
(Date:6/23/2016)... SPRING, Md. , June 23, 2016 A ... collected from the crime scene to track the criminal down. ... and the U.S. Food and Drug Administration (FDA) uses DNA ... Sound far-fetched? It,s not. The ... genome sequencing to support investigations of foodborne illnesses. Put as ...
Breaking Biology Technology: