Inter-individual variation in expression: a missing link in biomarker biology?

Date

2009

Authors

Little, Peter F R
Williams, Rohan
Wilkins, Marc R.

Journal Title

Journal ISSN

Volume Title

Publisher

Elsevier

Abstract

The past decade has seen an explosion of variation data demonstrating that diversity of both protein-coding sequences and of regulatory elements of protein-coding genes is common and of functional importance. In this article, we argue that genetic diversity can no longer be ignored in studies of human biology, even research projects without explicit genetic experimental design, and that this knowledge can, and must, inform research. By way of illustration, we focus on the potential role of genetic data in case-control studies to identify and validate cancer protein biomarkers. We argue that a consideration of genetics, in conjunction with proteomic biomarker discovery projects, should improve the proportion of biomarkers that can accurately classify patients.

Description

Keywords

Keywords: Biology; Biomarkers; Programming theory; Project management; Biomarker discoveries; Coding genes; Coding sequences; Control studies; Experimental designs; Genetic datums; Genetic diversities; Human biologies; Regulatory elements; Research projects; Geneti

Citation

Source

Trends in Biotechnology

Type

Journal article

Book Title

Entity type

Access Statement

License Rights

DOI

10.1016/j.tibtech.2008.10.002

Restricted until

2037-12-31