Optimal use of statistical methods to validate reference gene stability in longitudinal studies.

ABSTRACT: Multiple statistical approaches have been proposed to validate reference genes in qPCR assays. However, conflicting results from these statistical methods pose a major hurdle in the choice of the best reference genes. Recent studies have proposed the use of at least three different methods but there is no consensus on how to interpret conflicting results. Researchers resort to averaging the stability ranks assessed by different approaches or attributing a weighted rank to candidate genes. However, we report here that the suitability of these validation methods can be influenced by the experimental setting. Therefore, averaging the ranks can lead to suboptimal assessment of stable reference genes if the method used is not suitable for analysis. As the respective approaches of these statisti

SUBMITTER: Sundaram VK 

PROVIDER: S-EPMC6650036 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature