Description Usage Arguments Details Value Note Author(s) References Examples

Functions to calculate the information under the null hypothesis of no effect. Functions for discount factors for incomplete genotyping.

1 2 3 4 5 6 7 | ```
info(sel.frac,theta=0,cross)
info.bc(sel.frac,theta=0)
info.f2(sel.frac,theta=0)
deflate(theta,cross)
deflate.bc(theta)
deflate.f2(theta)
nullinfo(sel.frac)
``` |

`cross` |
Cross type, either "bc" for backcross, or "f2" for intercross. |

`sel.frac` |
Selection fraction; proportion of extremes genotyped |

`theta` |
Recombination fraction between flanking markers |

The `nullinfo`

function calculates the information
content per observation for any contrast between genotype means when
densely genotyping an `sel.frac`

fraction of
the extreme phenotypic individuals. The information content is
calculated under the null hypothesis of no difference between the
genotype means. For small differences in genotype means, the
information content will be approximately equal to the null, but in
general, the information estimate under the null is the lower bound.

The `info`

function calculates the information per observation
for backcross, and F2 intercross under the null hypothesis of equal
gentoype means. The information is calculated for a point in the
middle of an interval spanned by markers separated by a recombination
fraction `theta`

. The function `deflate`

calculates a
deflation factor for the information attenuation in the middle of a
marker interval relative to a completely typed location.

Information per individual for information functions, and the discount factor for the discount functions.

Information is calculated under the equal means assumption. This approximation is very good in practice, and is slightly conservative. If the difference between the means is large, these functions will underestimate the information. For power calculations, that is okay.

Saunak Sen, Jaya Satagopan, Karl Broman, and Gary Churchill

Sen S, Satagopan JM, Churchill GA (2005) Quantitative trait locus study design from an information perspective. Genetics, 170:447-64.

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