qpcR (version 1.2-1)

efficiency: Calculation of qPCR efficiency and several other important qPCR parameters

Description

This function calculates the PCR efficiency of a model of class 'pcrfit' and several other important values for qPCR quantification like the first and second derivatives and the corresponding maxima thereof (i.e. threshold cycles). These values can be subsequently used for the calculation of PCR kinetics, fold induction etc. All values are included in a graphical output of the fit. Additionally, several measures of goodness-of-fit are calculated, i.e. the Akaike Information Criterion (AIC), the residual variance and the R-square value.

Usage

efficiency(object, plot = TRUE, type = "cpD2", thresh = NULL, 
           shift = 0, amount = NULL)

Arguments

object

an object of class 'pcrfit'.

plot

logical. If TRUE, a graph is displayed. If FALSE, values are printed out.

type

the method of efficiency estimation. See 'Details'.

thresh

an (optional) numeric value for a fluorescence threshold border. Overrides type.

shift

a user defined shift in cycles from the values defined by type. See 'Examples'.

amount

the template amount or molecule number for quantitative calibration.

Value

• A list with the following components:
• eff
  the PCR efficiency.
• resVar
  the residual variance.
• AICc
  the bias-corrected Akaike Information Criterion.
• AIC
  the Akaike Information Criterion.
• Rsq
  the R-square value.
• Rsq.ad
  the adjusted R-square value.
• cpD1
  the first derivative maximum (point of inflection in 'l4' or 'b4' models, can be used for defining the threshold cycle).
• cpD2
  the second derivative maximum (turning point of cpD1, more often used for defining the threshold cycle).
• cpE
  the PCR cycle with the highest efficiency.
• cpR
  the PCR cycle within the exponential region calculated as under 'Details'.
• cpT
  the PCR cycle corresponding to the fluorescence threshold as defined in thresh.
• Cy0
  the PCR threshold cycle 'Cy0' according to Guescini et al. See 'Details'.
• cpCQ
  the PCR cycle corresponding to the 20% fluorescence value at 'cpD2'.
• fluo
  the raw fluorescence value at the point defined by type or thresh.
• init1
  the initial template fluorescence from the sigmoidal model, calculated as under 'Details'.
• init2
  the initial template fluorescence from an exponential model, calculated as under 'Details'.
• cf
  the conversion factor between raw fluorescence and template amount, if the latter is defined.

Details

The efficiency is always calculated from the efficiency curve (in blue), which is calculated according to $E = \frac{F(n)}{F(n-1)}$ from the fitted curve, but taken from different points at the curve, as to be defined in type: "cpD2" taken from the maximum of the second derivative curve, "cpD1" taken from the maximum of the first derivative curve, "maxE" taken from the maximum of the efficiency curve, "expR" taken from the exponential region by $expR = cpD2-(cpD1-cpD2))$, "CQ" taken from the 20% value of the fluorescence at "cpD2" as developed by Corbett Research (comparative quantification), "Cy0" the intersection of a tangent on the first derivative maximum with the abscissa as calculated according to Guescini et al. or a numeric value taken from the threshold cycle output of the PCR software, i.e. 15.24 as defined in type or a numeric value taken from the fluorescence threshold output of the PCR software as defined in thresh. The initial fluorescence F(0) for relative or absolute quantification is either calculated by setting x = 0 in the sigmoidal model of object giving init1 or by calculating an exponential model down (init2) with $F(0) = \frac{F(n)}{E(n)^{Cyc}}$, with F(n) = raw fluorescence at the cycle number defined by type, E(n) = PCR efficiency at the cycle number defined by type and Cyc = the cycle number defined by type. If a template amount is defined, a conversion factor $cf = \frac{amount}{F(0)}$ is given. The different measures for goodness-of-fit give an overview for the validity of the efficiency estimation. First and second derivatives are calculated from the fitted function and the maxima of the derivatives curve and the efficiency curve are obtained.

References

Weihong Liu and David A. Saint (2002) Validation of a quantitative method for real time PCR kinetics, BBRC, 294, 347 - 353. A new real-time PCR method to overcome significant quantitative inaccuracy due to slight amplification inhibition. Guescini M et al, BMC Bioinformatics, 2008, 9: 326.

Examples

## Fitting initial model
m1 <-  pcrfit(reps, 1, 2, l4)
efficiency(m1)
 
## selection of best model
## using one cycle 'downstream'
## of second derivative max
m2 <- mselect(m1)
efficiency(m2, type = "cpD2", shift = -1)    

## using "maxE" method, with calculation of PCR efficiency
## 2 cycles 'upstream' from the cycle of max efficiency
efficiency(m2, type = "maxE", shift = 2)

## using the exponential region
efficiency(m2, type = "expR")

## using threshold cycle (i.e. 15.32) 
## from PCR software
efficiency(m2, type = 15.32)

## using Cy0 method from
## Guescini et al. (2008),
## add Cy0 tangent
efficiency(m2, type = "Cy0")
Cy0(m2, add = TRUE)

## using a defined fluorescence
## threshold value from PCR software
efficiency(m2, thresh = 1)
 
## using the first 30 cycles and a template amount
## (optical calibration)
m3 <-  pcrfit(reps[1:30, ], 1, 2, l5)
efficiency(m3, amount = 1E3)