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Detailed information about a person's genetic makeup and their environmental risk factors does not significantly change their disease risk prediction, according to the results of a new simulation study.聽 That is, to buy Arimidex to treat breast cancer for instance can be lessen if not totally eliminated.聽
The researchers, from the Harvard School of Public Health, said "that much more research is needed before information on patients' genetic variants could actually help doctors prevent or treat certain conditions."聽
"Overall Black Courtland Sutton Jersey , our findings suggest that the potential complexity of genetic and environmental factors related to disease will have to be understood on a much larger scale than initially expected to be useful for risk prediction," study author Hugues Aschard, a research fellow in the epidemiology department, said in a Harvard news release. "The road to efficient genetic risk prediction, if it exists, is likely to be long Black Bradley Chubb Jersey ," he added.聽
In conducting the study, the investigators examined whether or not disease risk prediction for breast cancer, type 2 diabetes and rheumatoid arthritis would improve if environmental risk factors were considered along with genetic risk. The study authors called this interplay of genetic and environmental factors a synergistic effect. This is regardless of the degree of generic Arimidex the disease models were exposed to.
The researchers simulated a wide range of possible interactions between environmental risk factors and common genetic risk markers related to the three diseases to determine if this simulation model would improve risk prediction.聽
These disease models, however, showed no significant improvement in risk prediction, and the researchers concluded that with this method Black Matt Paradis Jersey , risk prediction sensitivity would improve by no more than 1 percent to 3 perce
"Statistical models of synergy among genetic markers are not 'game changers' in terms of risk prediction in the general population," said Aschard.
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