全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

Clinical application of high throughput molecular screening techniques for pharmacogenomics

DOI: http://dx.doi.org/10.2147/PGPM.S15302

Keywords: high throughput, clinical laboratories, pharmacogenomics, mutation

Full-Text   Cite this paper   Add to My Lib

Abstract:

ical application of high throughput molecular screening techniques for pharmacogenomics Review (3430) Total Article Views Authors: Wiita AP, Schrijver I Published Date September 2011 Volume 2011:4 Pages 109 - 121 DOI: http://dx.doi.org/10.2147/PGPM.S15302 Arun P Wiita1, Iris Schrijver2 1Department of Laboratory Medicine, University of California, San Francisco, CA, USA; 2Department of Pathology and Pediatrics, Stanford University School of Medicine, Stanford, CA, USA Abstract: Genetic analysis is one of the fastest-growing areas of clinical diagnostics. Fortunately, as our knowledge of clinically relevant genetic variants rapidly expands, so does our ability to detect these variants in patient samples. Increasing demand for genetic information may necessitate the use of high throughput diagnostic methods as part of clinically validated testing. Here we provide a general overview of our current and near-future abilities to perform large-scale genetic testing in the clinical laboratory. First we review in detail molecular methods used for high throughput mutation detection, including techniques able to monitor thousands of genetic variants for a single patient or to genotype a single genetic variant for thousands of patients simultaneously. These methods are analyzed in the context of pharmacogenomic testing in the clinical laboratories, with a focus on tests that are currently validated as well as those that hold strong promise for widespread clinical application in the near future. We further discuss the unique economic and clinical challenges posed by pharmacogenomic markers. Our ability to detect genetic variants frequently outstrips our ability to accurately interpret them in a clinical context, carrying implications both for test development and introduction into patient management algorithms. These complexities must be taken into account prior to the introduction of any pharmacogenomic biomarker into routine clinical testing.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133