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A Cautionary Note on the Evaluation of Biomarkers of Subtypes of a Single Disease
Author(s) -
Adeniyi J. Adewale,
Qi Liu,
Irina Dinu,
Paul D. Lampe,
Breeana L. Mitchell,
Yutaka Yasui
Publication year - 2008
Publication title -
american journal of epidemiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.33
H-Index - 256
eISSN - 1476-6256
pISSN - 0002-9262
DOI - 10.1093/aje/kwn183
Subject(s) - disease , homogeneous , biomarker , biomarker discovery , computational biology , medicine , bioinformatics , biology , mathematics , genetics , gene , combinatorics , proteomics
Heterogeneity in the molecular characteristics of a disease presents a challenge to investigators attempting to identify biomarkers of the disease. Preceding the biomarker discovery effort with stratification within a heterogeneous disease group, which amounts to grouping disease cases into more homogeneous subtypes, seems to be a natural strategy for discovering subtype-specific biomarkers. This is because biologically more homogeneous subgroups are presumably easier to distinguish from the nondiseased than the entire heterogeneous disease group. The misleading benefits of this two-step approach are illustrated using an example from a protein biomarker discovery project for breast cancer. A potential analytical pitfall in this framework is explained using a conditional probability argument.

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