Shalom Life | September 23, 2015

Jerusalem, Boston Universities Unite to Create Algorithm that Scans Genes for Diseases

The Massachusetts General Hospital has collaborated with the Hebrew University to develop innovative new process

By: JNS.org

Published: June 25th, 2015 in Health » World

Jerusalem, Boston Universities Unite to Create Algorithm that Scans Genes for Diseases

Photo: Hebrew University


The Massachusetts General Hospital in Boston has collaborated with the Hebrew University of Jerusalem to create an algorithm that could scan as many as millions of genetic sequences from a variety of organisms for links that potentially indicate diseases.

This process could allow doctors, researchers, and patients to analyze a gene’s evolutionary profile and would “change the face of biomedical research by creating the ability to identify unique disease-related genes and predict their biological functions,” said the Israeli-American research team, headed by Dr. Yuval Tabach, a molecular biologist and researcher from Hebrew University’s Institute for Medical Research Israel-Canada, the Jerusalem Post reported.

Additionally, the development “opens the door to drug repositioning, which holds the promise of new treatments for genetic diseases or cancer,” the researchers said.

Tabach, whose research paper on the subject has been published in the Nucleic Acids Research journal, said that the technique “is simple and based on the fact that genes that work together or those that play an important role in biology will be present together in organisms that need them. Conversely, genes connected to a particular function like vision will disappear from species that have lost the power of sight (like cave fish or moles), and may therefore be identified by a comparison to the genes in normal animals.”

“The significance of this tool is that anyone, physician or researcher, can input results from genetic mapping studies concerning suspected genes, and the tool will identify evolutionary, and probably functional, connections to known genes with association to diseases,” Tabach said. “The process is rapid, without cost or time wasted, and enables the identification of genes responsible even for rare genetic diseases.”

Reprinted via JNS.org

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