2014
DOI: 10.1093/bioinformatics/btu239
|View full text |Cite
|
Sign up to set email alerts
|

On non-detects in qPCR data

Abstract: Motivation: Quantitative real-time PCR (qPCR) is one of the most widely used methods to measure gene expression. Despite extensive research in qPCR laboratory protocols, normalization and statistical analysis, little attention has been given to qPCR non-detects—those reactions failing to produce a minimum amount of signal.Results: We show that the common methods of handling qPCR non-detects lead to biased inference. Furthermore, we show that non-detects do not represent data missing completely at random and li… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

3
177
0

Year Published

2016
2016
2024
2024

Publication Types

Select...
9

Relationship

0
9

Authors

Journals

citations
Cited by 152 publications
(180 citation statements)
references
References 20 publications
3
177
0
Order By: Relevance
“…The rationale for this threshold for expression positivity is provided in the Supplementary material. Undetermined values of expressions (Ct ≥ 40) for this set of miRNAs were imputed by EM-based model of the missing data mechanism [24]. The individual Ct values for target miRNAs were normalised against the geometrical mean of the Ct values of U6 RNA, RNU44 and RNU48, and nine most stably expressed miRNAs that were determined with use of the NormFinder application (Appendix A, Table 1 in Supplementary material) [25].…”
Section: Methodsmentioning
confidence: 99%
“…The rationale for this threshold for expression positivity is provided in the Supplementary material. Undetermined values of expressions (Ct ≥ 40) for this set of miRNAs were imputed by EM-based model of the missing data mechanism [24]. The individual Ct values for target miRNAs were normalised against the geometrical mean of the Ct values of U6 RNA, RNU44 and RNU48, and nine most stably expressed miRNAs that were determined with use of the NormFinder application (Appendix A, Table 1 in Supplementary material) [25].…”
Section: Methodsmentioning
confidence: 99%
“…To avoid bias introduced by the issue of non-detects [14], we employed a left-censoring statistical approach to determine per-target differential expression in cases versus controls. Table 2 provides univariate differential expression results for each biomarker, ranked by Tobit model [15] P -value.…”
Section: Resultsmentioning
confidence: 99%
“…Thermal cycling conditions were as follows: 95℃ for 10 min, 40 cycles of 95℃ for 15 s and 60℃ for 30 s. Reactions were conducted in triplicate, including a no template control and positive control. To account for nondetects in the qPCR data, C t values >35 were replaced with a C t of 35, which has been previously shown to reduce bias [14]. Ion Torrent NGS Protocol Library generation followed the protocol described in the Ion AmpliSeq Library Kit 2.0 User Guide using the Ion AmpliSeq Cancer Hotspot Panel v2 primer pool, comprising 207 amplicons covering approximately 2,800 COSMIC mutations from 50 oncogenes and tumor suppressor genes.…”
Section: Pcr Primers and Probesmentioning
confidence: 99%