alexa Optimizing Multiple Sclerosis Diagnosis Using Gene Expression And Genomic Association Data
ISSN: 1747-0862

Journal of Molecular and Genetic Medicine
Open Access

OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations

700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Share This Page

Additional Info

Loading
Loading Please wait..
 

9th International Conference on Genomics & Pharmacogenomics
June 15-16, 2017 London, UK

Gurevich Michael
Sheba Medical Center, Israel
ScientificTracks Abstracts: J Mol Genet Med
DOI: 10.4172/1747-0862-C1-015
Abstract
The diagnosis of multiple sclerosis (MS) is based on the neurological symptomatology in combination with the presence of central nervous system lesions disseminated in time and space. However, the clinical, imaging and/or laboratory findings of patients with MS may mimic a wide array of other vascular, inflammatory and demyelinating diseases, hereby defined as non-MS. This overlap may pose a significant diagnostic challenge especially in the process of diagnosis at the early disease stage. We utilized findings of largescale Genome Wide Association Studies (GWAS) to develop a blood gene expression based classification tool to assist in the diagnosis during the first demyelinating event suggestive of MS. We merged knowledge of 110 MS susceptibility genes gained from MS GWAS studies together with our experimental results of differential blood gene expression profiling between 80 MS patients and 31 non-MS patients. Multiple classification algorithms were applied to this cohort to construct a diagnostic classifier that correctly distinguished between MS and non-MS patients. The overall accuracy of the constructed 42-gene classifier was tested on an independent patient population consisting of diagnostically challenging cases including non-MS patients with positive MRI findings and achieved a correct classification rate of 76.0±3.5%. The presented diagnostic classification tool complements the existing diagnostic McDonald criteria by assisting in the accurate exclusion of other neurological diseases at presentation of the first demyelinating event suggestive of MS.
Biography

Gurevich Michael is the Head of the Neuro-genomics Laboratory at Sheba Multiple Sclerosis Center, Israel. His research primarily focuses on The study of translational medicine and functional genomics in neurological diseases and multiple sclerosis. He has gained extensive knowledge and experience working with DNA microarray technology, discovering multiple sclerosis related molecular disease pathogenesis and finding biomarkers that may assist in disease diagnosis, monitoring and prognosis of clinical outcome.

Email: [email protected]

image PDF   |   image HTML
 

Relevant Topics

Peer Reviewed Journals
 
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
 
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

Agri, Food, Aqua and Veterinary Science Journals

Dr. Krish

[email protected]

1-702-714-7001 Extn: 9040

Clinical and Biochemistry Journals

Datta A

[email protected]

1-702-714-7001Extn: 9037

Business & Management Journals

Ronald

[email protected]

1-702-714-7001Extn: 9042

Chemical Engineering and Chemistry Journals

Gabriel Shaw

[email protected]

1-702-714-7001 Extn: 9040

Earth & Environmental Sciences

Katie Wilson

[email protected]

1-702-714-7001Extn: 9042

Engineering Journals

James Franklin

[email protected]

1-702-714-7001Extn: 9042

General Science and Health care Journals

Andrea Jason

[email protected]

1-702-714-7001Extn: 9043

Genetics and Molecular Biology Journals

Anna Melissa

[email protected]

1-702-714-7001 Extn: 9006

Immunology & Microbiology Journals

David Gorantl

[email protected]

1-702-714-7001Extn: 9014

Informatics Journals

Stephanie Skinner

[email protected]

1-702-714-7001Extn: 9039

Material Sciences Journals

Rachle Green

[email protected]

1-702-714-7001Extn: 9039

Mathematics and Physics Journals

Jim Willison

[email protected]

1-702-714-7001 Extn: 9042

Medical Journals

Nimmi Anna

[email protected]

1-702-714-7001 Extn: 9038

Neuroscience & Psychology Journals

Nathan T

[email protected]

1-702-714-7001Extn: 9041

Pharmaceutical Sciences Journals

John Behannon

[email protected]

1-702-714-7001Extn: 9007

Social & Political Science Journals

Steve Harry

[email protected]

1-702-714-7001 Extn: 9042

 
© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version
adwords