Search is Powered by Google
Genetics News

A New Method To Identify Mutated Genes In Human Diseases

Main Category: Genetics
Also Included In: Biology / Biochemistry
Article Date: 27 Mar 2008 - 17:00 PDT

email icon email to a friend   printer icon printer friendly   write icon view / write opinions   rate icon rate article
Current Article Ratings:

Patient / Public:not yet rated

Health Professional:not yet rated

Article Opinions: 0 posts

Researchers from the University of Turin, Italy and the University of Nijmegen, The Netherlands, have devised a new method that may help the medical community to determine the genetic basis of many common diseases. Their findings are described in an article published March 28th in the open-access journal PLoS Computational Biology.

Thousands of human diseases originate from mutations in one or more genes. Identification of mutated genes is a crucial first step towards understanding the molecular mechanisms at the origin of diseases and devising a treatment. In many cases, we do not know the identity of the affected gene, only a chromosomal region (typically containing hundred of genes) in which the mutation is located.

The research group, led by Ferdinando Di Cunto and Paolo Provero, analyzed gene expression data (patterns of gene activity in tissues and cell lines) from thousands of published experiments to identify genes showing patterns comparable to the ones of mutated genes in similar diseases. The study identified candidate genes for 81 diseases, including various forms of epilepsy and muscular dystrophy

As in all such analyses, the results must be verified experimentally. However, the task of understanding the molecular basis of many diseases could be significantly simplified by the results of this work.

Prediction of Human Disease Genes by Human-Mouse Conserved Coexpression Analysis.
Ala U, Piro RM, Grassi E, Damasco C, Silengo L, et al. (2008)
PLoS Comput Biol 4(3): e1000043. doi:10.1371/journal.pcbi.1000043
Please click here to view article online

About PLoS Computational Biology

PLoS Computational Biology features works of exceptional significance that further our understanding of living systems at all scales through the application of computational methods. All works published in PLoS Computational Biology are open access. Everything is immediately available subject only to the condition that the original authorship and source are properly attributed. Copyright is retained by the authors. The Public Library of Science uses the Creative Commons Attribution License.

PLoS Computational Biology

About the Public Library of Science

The Public Library of Science (PLoS) is a non-profit organization of scientists and physicians committed to making the world's scientific and medical literature a freely available public resource.

Public Library of Science




Weekly Newsletters Daily News Alerts
Home About Us News Licensing Free Website Feeds Free Tools & Content Links Tell a Friend Accessibility Help / FAQ Article Submission Contact Us
Breast Cancer Cardiovascular GI Prostate Cancer Psychiatry Respiratory Learning Resources Migraine Urology
Asthma Bipolar Blood Pressure Breast Cancer (Patient) Heartburn

Sign up to receive newsletters / news alerts
MedReader RSS Reader


Menopause - Managing the Symptoms
Menopause - Managing the Symptoms

While most women won't need to be treated for menopause, some will have symptoms severe enough to disrupt their lives. There are effective treatments to help those women cope with their symptoms.

more videos are available in our health videos section.

Add Your Advertisement Here