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Computer program traces ancestry using anonymous DNA samples
Date:9/20/2007

Troy, N.Y. -- A group of computer scientists, mathematicians, and biologists from around the world have developed a computer algorithm that can help trace the genetic ancestry of thousands of individuals in minutes, without any prior knowledge of their background. The teams findings will be published in the September 2007 edition of the journal PLoS Genetics.

Unlike previous computer programs of its kind that require prior knowledge of an individuals ancestry and background, this new algorithm looks for specific DNA markers known as single nucleotide polymorphisms, or SNPs (pronounced snips), and needs nothing more than a DNA sample in the form of a simple cheek swab. The researchers used genetic data from previous studies to perform and confirm their research, including the new HapMap database, which is working to uncover and map variations in the human genome.

Now that we have found that the program works well, we hope to implement it on a much larger scale, using hundreds of thousands of SNPs and thousands of individuals, said Petros Drineas, the senior author of the study and assistant professor of computer science at Rensselaer Polytechnic Institute. The program will be a valuable tool for understanding our genetic ancestry and targeting drugs and other medical treatments because it might be possible that these can affect people of different ancestry in very different ways.

Understanding our unique genetic makeup is a crucial step to unraveling the genetic basis for complex diseases, according to the paper. Although the human genome is 99 percent the same from human to human, it is that 1 percent that can have a major impact on our response to diseases, viruses, medications, and toxins. If researchers can uncover the minute genetic details that set each of us apart, biomedical research and treatments can be better customized for each individual, Drineas said.

This program will help people understand their unique
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Contact: Gabrielle DeMarco
demarg@rpi.edu
518-276-6542
Rensselaer Polytechnic Institute
Source:Eurekalert

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