Literature DB >> 22593027

Measuring molecular biomarkers in epidemiologic studies: laboratory techniques and biospecimen considerations.

Heidi S Erickson1.   

Abstract

The future of personalized medicine depends on the ability to efficiently and rapidly elucidate a reliable set of disease-specific molecular biomarkers. High-throughput molecular biomarker analysis methods have been developed to identify disease risk, diagnostic, prognostic, and therapeutic targets in human clinical samples. Currently, high throughput screening allows us to analyze thousands of markers from one sample or one marker from thousands of samples and will eventually allow us to analyze thousands of markers from thousands of samples. Unfortunately, the inherent nature of current high throughput methodologies, clinical specimens, and cost of analysis is often prohibitive for extensive high throughput biomarker analysis. This review summarizes the current state of high throughput biomarker screening of clinical specimens applicable to genetic epidemiology and longitudinal population-based studies with a focus on considerations related to biospecimens, laboratory techniques, and sample pooling.
Copyright © 2012 John Wiley & Sons, Ltd.

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Year:  2012        PMID: 22593027     DOI: 10.1002/sim.4485

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  2 in total

Review 1.  Genomic biomarkers for personalized medicine: development and validation in clinical studies.

Authors:  Shigeyuki Matsui
Journal:  Comput Math Methods Med       Date:  2013-04-17       Impact factor: 2.238

2.  Pooling Bio-Specimens in the Presence of Measurement Error and Non-Linearity in Dose-Response: Simulation Study in the Context of a Birth Cohort Investigating Risk Factors for Autism Spectrum Disorders.

Authors:  Karyn Heavner; Craig Newschaffer; Irva Hertz-Picciotto; Deborah Bennett; Igor Burstyn
Journal:  Int J Environ Res Public Health       Date:  2015-11-19       Impact factor: 3.390

  2 in total

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