Navigation Links
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 backgrounds and aid historians and anthropologists in their study of where different populations originated and how humans became such a hugely diverse, global society.

Their program was more than 99 percent accurate and correctly identified the ancestry of hundreds of individuals. This included people from genetically similar populations (such as Chinese and Japanese) and complex genetic populations like Puerto Ricans who can come from a variety of backgrounds including Native American, European, and African.

When we compared our findings to the existing datasets, only one individual was incorrectly identified and his background was almost equally close between Chinese and Japanese, Drineas said.

In addition to Drineas, the algorithm was developed by scientists from California, Puerto Rico, and Greece. The researchers involved include lead author Peristera Paschou from the Democritus University of Thrace in Greece; Elad Ziv, Esteban G. Burchard, and Shweta Choudhry from the University of California, San Francisco; William Rodriguez-Cintron from the University of Puerto Rico School of Medicine in San Juan; and Michael W. Mahoney from Yahoo! Research in California.


'/>"/>

Contact: Gabrielle DeMarco
demarg@rpi.edu
518-276-6542
Rensselaer Polytechnic Institute
Source:Eurekalert

Related biology news :

1. Computers to be used to find blueprint for new influenza drug
2. Supercomputer Dedicated To Bioengineering, Computational Biology Installed
3. Programmable cells: Engineer turns bacteria into living computers
4. Supercomputers to focus brains on AIDS dilemma
5. Designing vaccines by computer
6. Using computers and DNA to count bacteria
7. UNC computer, marine scientists collaborate to predict flow of toxic waters from Katrina
8. Large-scale Computer Simulations Reveal New Insights Into Antibiotic Resistance
9. NYU chemists use computer simulation to enhance understanding of DNA transcription
10. Computers close in on protein structure prediction
11. Computer modeling reveals hidden conversations within cells
Post Your Comments:
*Name:
*Comment:
*Email:
(Date:6/15/2016)... New York , June 15, 2016 /PRNewswire/ ... a new market report titled "Gesture Recognition Market by ... and Forecast, 2016 - 2024". According to the report, ... USD 11.60 billion in 2015 and is estimated ... reach USD 48.56 billion by 2024.  ...
(Date:6/2/2016)... 2016 The Department of Transport Management ... 44 million US Dollar project, for the , ... Personalization, Enrolment, and IT Infrastructure , to ... and implementation of Identity Management Solutions. Numerous renowned international vendors ... Decatur was selected for the most compliant and ...
(Date:5/20/2016)... , May 20, 2016  VoiceIt is ... partnership with VoicePass. By working together, ... experience.  Because VoiceIt and VoicePass take slightly different ... engines increases both security and usability. ... excitement about this new partnership. "This ...
Breaking Biology News(10 mins):
(Date:6/27/2016)... ... June 27, 2016 , ... Cancer experts from Austria, Hungary, ... be a new and helpful biomarker for malignant pleural mesothelioma. Surviving Mesothelioma has ... it now. , Biomarkers are components in the blood, tissue or body ...
(Date:6/27/2016)... , ... June 27, 2016 , ... ... for Amgen, will join the faculty of the University of North Carolina ... professor of strategy and entrepreneurship at UNC Kenan-Flagler, with a focus on the ...
(Date:6/24/2016)... , June 24, 2016  Regular discussions on a range ... place between the two entities said Poloz. Speaking ... Ottawa , he pointed to the country,s inflation ... federal government. "In ... "Both institutions have common economic goals, why not sit down ...
(Date:6/24/2016)... NC (PRWEB) , ... June 24, 2016 , ... Researchers ... the most commonly-identified miRNAs in people with peritoneal or pleural mesothelioma. Their findings are ... to read it now. , Diagnostic biomarkers are signposts in the blood, lung ...
Breaking Biology Technology: