alexa Choosing The Best Genetic Model To Investigate The Genetic Polymorphisms In Survival Analyses
ISSN: 2161-1025

Translational Medicine
Open Access

Like us on:
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)

3rd International Conference on Translational Medicine
November 03-05, 2014 Las Vegas, USA

Sevtap Savas
Keynote: Transl Med
DOI: 10.4172/2161-1025.S1.011
Abstract
One of the current hypotheses in biomedical research is that genetic polymorphisms affect the risk of patient outcomes. However, in contrast to other variables, identification of the genetic effects of the polymorphisms on survival outcomes requires distinct considerations, including choosing an appropriate genetic model for each polymorphism during the statistical analyses. Among the applied genetic models are the recessive, dominant, co-dominant and additive models. Each of these models investigates the patient groups based on their genotypes differently. For example in the recessive genetic model, patients with the minor allele homozygous genotype are assumed to have different survival characteristics compared to patients with the major allele homozygous or heterozygous genotypes. In the absence of a biological evidence, the majority of the studies investigate the polymorphisms assuming one or a few select genetic models (which causes potential loss of information) or to apply all genetic models (which creates multiple testing issue). Previously to overcome these issues, we had suggested selecting the best suitable genetic model by examining the Kaplan Meier survival curves of a polymorphism stratified by each genotype (major allele homozygous, minor allele homozygous and heterozygous genotypes). In this presentation, the author will first discuss this approach and then its application to numerous SNPs examined in relation to survival outcomes in a cohort of colorectal cancer patients. Please note this approach can be applied to other genetic variations, such as somatic mutations and copy number variations.
Biography
Sevtap Savas obtained her PhD in Molecular Biology and Genetics in 1999 from the Bogazici University, Turkey. She trained as a Post-doctoral Fellow and Research Associate in Louisiana State University (USA), Mount Sinai Hospital Research Institute (Canada) and Princess Margaret Hospital/Ontario Cancer Institute (Canada). Since 2008, she has been an Assistant Professor at Discipline of Genetics, Memorial University of Newfoundland (Canada). Her research program currently focuses on genetic prognostic studies in colorectal cancer using genetic, epidemiological, biostatistical and computational approaches and development of public databases. She also serves as a reviewer, academic editor or Editorial Board Member for several journals.
image PDF   |   image HTML
 
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 & Aquaculture Journals

Dr. Krish

[email protected]

1-702-714-7001Extn: 9040

Biochemistry Journals

Datta A

[email protected]

1-702-714-7001Extn: 9037

Business & Management Journals

Ronald

[email protected]

1-702-714-7001Extn: 9042

Chemistry Journals

Gabriel Shaw

[email protected]

1-702-714-7001Extn: 9040

Clinical Journals

Datta A

[email protected]

1-702-714-7001Extn: 9037

Engineering Journals

James Franklin

[email protected]

1-702-714-7001Extn: 9042

Food & Nutrition Journals

Katie Wilson

[email protected]

1-702-714-7001Extn: 9042

General Science

Andrea Jason

[email protected]

1-702-714-7001Extn: 9043

Genetics & Molecular Biology Journals

Anna Melissa

[email protected]

1-702-714-7001Extn: 9006

Immunology & Microbiology Journals

David Gorantl

[email protected]

1-702-714-7001Extn: 9014

Materials Science Journals

Rachle Green

[email protected]

1-702-714-7001Extn: 9039

Nursing & Health Care Journals

Stephanie Skinner

[email protected]

1-702-714-7001Extn: 9039

Medical Journals

Nimmi Anna

[email protected]

1-702-714-7001Extn: 9038

Neuroscience & Psychology Journals

Nathan T

[email protected]

1-702-714-7001Extn: 9041

Pharmaceutical Sciences Journals

Ann Jose

[email protected]

1-702-714-7001Extn: 9007

Social & Political Science Journals

Steve Harry

[email protected]

1-702-714-7001Extn: 9042

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