Genomic and Big Data for the treatment of diabetes

Precision medicine is understood as those tools that are able to predict the effectiveness of diagnostic studies and treatments not only individualized but precise. ”

Personalized medicine is the application of this medicine, depending on the characteristics of the person, based on the investigation of precision medicine.

Experts now advise to use precision medicine tools, such as genomics and big data for the treatment of diabetes.

However, diabetes is a polygenic disease.That is, it is a consequence of the alteration in the sequence of genetic information in several genes.Generally in different chromosomes and under the influence of multiple environmental factors.

In this way, so that external factors are also triggered, such as lifestyle (food, exercise, smoking ...).

genomics and big data

Francisco Javier Carrasco Sánchez, an internist medical member of SEMI, addressed this issue within the framework of the 43 National Congress of Internal Medicine of the SEMI.According to it, current medicine and diabetes approach is based on scientific evidence.

However, this approach has many limitations because currentbe a hospitalization, a heart attack, an stroke and/or death.

Thus, a drug with a NNT = 22, tells us that it is necessary to treat 22 patients with a treatment to avoid an event.Also, to refine knowledge, subgroups of patients are studied and, more recently, different phenotypes to classify subgroups to patients who benefit more than a certain treatment.

“The biggest precision medicine challenge is that it must become personalized medicine, analyzing which treatment will be the best to each person.To achieve this we need more information such as the one provided by genomics and big data capable of identifying the individual who benefits from one or another treatment.That is the end of precision medicine, ”concluded the expert.

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