Featured Research

from universities, journals, and other organizations

Researchers develop new tool to identify genetic risk factors

Date:
January 30, 2014
Source:
The Geisel School of Medicine at Dartmouth
Summary:
Researchers developed a new biological pathway-based computational model, called the Pathway-based Human Phenotype Network, to identify underlying genetic connections between different diseases. The Pathway-based Human Phenotype Network mines the data present in large publicly available disease datasets to find shared SNPs, genes, or pathways and expresses them in a visual form.

Dartmouth researchers developed a new biological pathway-based computational model, called the Pathway-based Human Phenotype Network (PHPN), to identify underlying genetic connections between different diseases as reported in BioDataMining this week. The PHPN mines the data present in large publicly available disease datasets to find shared SNPs, genes, or pathways and expresses them in a visual form.

"The PHPN offers a bird's eye view of the diseases and phenotype's relationships at the systems level," said Christian Darabos, PhD, post-doctoral fellow, Institute for Quantitative Biomedical Sciences (iQBS), Dartmouth College.

The PHPN uses information in human disease networks in conjunction with network science tools to show clusters of related disorders sharing common genetic backgrounds. It does so without the typical clinical classification of disease, in which all heart disease or all cancers are grouped together, based on clinical presentation. Dartmouth geneticists instead rely on the information contained in the PHPN's topology to automatically classify traits and diseases by their shared genetic mechanisms, such as common genes or pathways. PHPN explores the connections between the layers of the networks to find patterns and relationships.

"The intuitive network representation of the knowledge mined from several large-scale datasets makes the information accessible to anyone. It lies at the crossroads of computational genetics, systems biology, information theory, and network science," Darabos said.

PHPN supports the integration of genomic and phenotypic data to uncover significant links between traits, attributes, and disease. This offer tremendous potential in identifying risk factors for certain diseases. At the same time, it can reveal important targets for therapeutic intervention.

"As a proof of concept, the PHPN has proven capable of identifying well documented interactions, and many novel links that remain to be explored in depth," said Darabos.

The PHPN reveals biological connections between seemingly disparate displays of genetic properties and offers a unique view of the architecture of disease.

This tool can help researchers identify areas for further investigation based on connections it uncovers. "The PHPN is a hypothesis-generating tool, potentially capable of identifying yet uncharacterized common drug targets," said Darabos.

As a next step, iQBS researchers will refine statistical methods, isolate networks for optimal results, and compare previous work on phenotype networks.


Story Source:

The above story is based on materials provided by The Geisel School of Medicine at Dartmouth. Note: Materials may be edited for content and length.


Journal Reference:

  1. Jason Moore, PhD; Scott Williams, PhD; Christian Darabos, PhD, Marquitta White, Britney Graham, and Derek Leung. The Multiscale Backbone of the Human Phenotype Network based on Biological Pathways. BioDataMining, January 2014

Cite This Page:

The Geisel School of Medicine at Dartmouth. "Researchers develop new tool to identify genetic risk factors." ScienceDaily. ScienceDaily, 30 January 2014. <www.sciencedaily.com/releases/2014/01/140130121615.htm>.
The Geisel School of Medicine at Dartmouth. (2014, January 30). Researchers develop new tool to identify genetic risk factors. ScienceDaily. Retrieved July 31, 2014 from www.sciencedaily.com/releases/2014/01/140130121615.htm
The Geisel School of Medicine at Dartmouth. "Researchers develop new tool to identify genetic risk factors." ScienceDaily. www.sciencedaily.com/releases/2014/01/140130121615.htm (accessed July 31, 2014).

Share This




More Health & Medicine News

Thursday, July 31, 2014

Featured Research

from universities, journals, and other organizations


Featured Videos

from AP, Reuters, AFP, and other news services

House Republicans Vote to Sue Obama Over Healthcare Law

House Republicans Vote to Sue Obama Over Healthcare Law

Reuters - US Online Video (July 31, 2014) The Republican-led House of Representatives votes to sue President Obama, accusing him of overstepping his executive authority in making changes to the Affordable Care Act. Mana Rabiee reports. Video provided by Reuters
Powered by NewsLook.com
Despite Health Questions, E-Cigs Are Beneficial: Study

Despite Health Questions, E-Cigs Are Beneficial: Study

Newsy (July 31, 2014) Citing 81 previous studies, new research out of London suggests the benefits of smoking e-cigarettes instead of regular ones outweighs the risks. Video provided by Newsy
Powered by NewsLook.com
Dangerous Bacteria Kills One in Florida

Dangerous Bacteria Kills One in Florida

AP (July 31, 2014) Sarasota County, Florida health officials have issued a warning against eating raw oysters and exposing open wounds to coastal and inland waters after a dangerous bacteria killed one person and made another sick. (July 31) Video provided by AP
Powered by NewsLook.com
Health Insurers' Profits Slide

Health Insurers' Profits Slide

Reuters - Business Video Online (July 30, 2014) Obamacare-related costs were said to be behind the profit plunge at Wellpoint and Humana, but Wellpoint sees the new exchanges boosting its earnings for the full year. Fred Katayama reports. Video provided by Reuters
Powered by NewsLook.com

Search ScienceDaily

Number of stories in archives: 140,361

Find with keyword(s):
Enter a keyword or phrase to search ScienceDaily for related topics and research stories.

Save/Print:
Share:

Breaking News:
from the past week

In Other News

... from NewsDaily.com

Science News

Health News

Environment News

Technology News



Save/Print:
Share:

Free Subscriptions


Get the latest science news with ScienceDaily's free email newsletters, updated daily and weekly. Or view hourly updated newsfeeds in your RSS reader:

Get Social & Mobile


Keep up to date with the latest news from ScienceDaily via social networks and mobile apps:

Have Feedback?


Tell us what you think of ScienceDaily -- we welcome both positive and negative comments. Have any problems using the site? Questions?
Mobile: iPhone Android Web
Follow: Facebook Twitter Google+
Subscribe: RSS Feeds Email Newsletters
Latest Headlines Health & Medicine Mind & Brain Space & Time Matter & Energy Computers & Math Plants & Animals Earth & Climate Fossils & Ruins