GEN2PHEN Project - Harnessing the Web for Genomics

The information superhighway has been critical in uniting various disparate business interests and has exponentially advanced them over recent years. But the benefits offered by the Internet are not only confined to business or social interests. Academics have also been harnessing this power to great effect. A new project funded by the European Union now aims to harness the Web to capture and unify genetic information that impacts a person's health and disease processes.

The new project aims to create one of the world's largest integrated genetic variation catalogues. Once created, it will offer researchers valuable information in the battle against disorders, such as diabetes, obesity, heart disease and cancer. With a price tag of €12 million, the Genotype-To-Phenotype Databases, or 'GEN2PHEN' for short, will be led by Professor Anthony Brookes at the University of Leicester, UK. The project involves 17 leading European research institutes, and another two from India and South Africa.

As Professor Anthony Brookes explains: "Technologies for the exploration of genetic variation in common disorders such as diabetes, heart disease, obesity, and autoimmune states, have only been devised the last few years, with widespread deployment only now happening. An unprecedented torrent of exciting, valuable, and important research observations is therefore now arriving, and yet there is no universal Internet-ready system able to receive all these data, to store and combine them, and to make them available for researchers and doctors alike to evaluate and exploit."

The GEN2PHEN project plans to orchestrate the international electronic collection and use of data that show how gene sequences contribute to inter-individual differences in disease, drug response, and other characteristics such as phenotypes. These relationships are deemed essential for future prognosis, diagnosis and treatment of diseases.

GEN2PHEN will build a set of database components, tools and technologies that will help all research results pertaining to genome variation and disease to be properly integrated and immediately available for holistic analysis via the Internet. The project will deploy a major Internet portal, the 'GEN2PHEN Knowledge Centre', which will prominently profile the solutions generated by the project and set these in the context of powerful search capabilities for genotype-phenotype data and the very latest expertise on genotype-phenotype databases.

"The various GEN2PHEN project members bring with them deep connections into the few other major international projects in this area," commented Professor Brookes. "This promises globally-coordinated progress over the next few years towards far more comprehensive, useful, and accessible knowledge regarding the genetic basis of human existence. The medical and societal benefits from all of this should be immense."

For further information, please visit:
http://www.le.ac.uk

Copyright ©European Communities, 2008
Neither the Office for Official Publications of the European Communities, nor any person acting on its behalf, is responsible for the use, which might be made of the attached information. The attached information is drawn from the Community R&D Information Service (CORDIS). The CORDIS services are carried on the CORDIS Host in Luxembourg - http://cordis.europa.eu. Access to CORDIS is currently available free-of-charge.

Most Popular Now

Do Fitness Apps do More Harm than Good?

A study published in the British Journal of Health Psychology reveals the negative behavioral and psychological consequences of commercial fitness apps reported by users on social media. These impacts may...

AI Tool Beats Humans at Detecting Parasi…

Scientists at ARUP Laboratories have developed an artificial intelligence (AI) tool that detects intestinal parasites in stool samples more quickly and accurately than traditional methods, potentially transforming how labs diagnose...

Making Cancer Vaccines More Personal

In a new study, University of Arizona researchers created a model for cutaneous squamous cell carcinoma, a type of skin cancer, and identified two mutated tumor proteins, or neoantigens, that...

AI can Better Predict Future Risk for He…

A landmark study led by University' experts has shown that artificial intelligence can better predict how doctors should treat patients following a heart attack. The study, conducted by an international...

A New AI Model Improves the Prediction o…

Breast cancer is the most commonly diagnosed form of cancer in the world among women, with more than 2.3 million cases a year, and continues to be one of the...

AI System Finds Crucial Clues for Diagno…

Doctors often must make critical decisions in minutes, relying on incomplete information. While electronic health records contain vast amounts of patient data, much of it remains difficult to interpret quickly...

New AI Tool Makes Medical Imaging Proces…

When doctors analyze a medical scan of an organ or area in the body, each part of the image has to be assigned an anatomical label. If the brain is...