1 / 12

Cervus

Cervus. Likelihood in Cervus. Uses likelihood methods to find the most likely parents. Useful when more than one possible parent remains non-excluded.

alize
Download Presentation

Cervus

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Cervus

  2. Likelihood in Cervus • Uses likelihood methods to find the most likely parents. Useful when more than one possible parent remains non-excluded. • Cervus calculates likelihood ratios, or Paternity Index (the likelihood that the candidate parent is the true parent divided by the likelihood that the candidate parent is not the true parent), and LOD scores (the log base e of the product of the likelihood ratios at each locus). • Delta (difference in LOD scores between the most likely parent and the second most likely parent) assesses the reliability of the assignment. • LOD score of 0 means that the candidate parent is equally likely as a random individual. • The most likely parent is the one with the most positive LOD score.

  3. Typing Errors • Perfect data is usually not the reality. • A mismatch due to a typing error will exclude a true parent in a simple exclusion analysis. • In a likelihood analysis a single mismatch does not exclude a parent, it simply decreases the likelihood, but a true parent will probably be still identified. • Also good for other kinds of errors –null alleles and mutations.

  4. Confidence Level • NOT the same as a confidence interval • Simulation – delta calculated for a large number of simulated parentage tests • Compares the distribution of deltas for tests where most likely parent was the true parent to the distribution of deltas where most likely parent was false. • During Parentage Analysis individual deltas are compared to simulated delta distributions • Critical Value of Delta (Delta criterion) – with a confidence level of 80%, value at which 4 out of 5 deltas exceeding that value came from the distribution of deltas for most likely parents that are true. 20% false positive • Strict and Relaxed

  5. Input files • Genotype – genotypes of all individuals • Offspring - relationships

  6. Pros and Cons • Pros • Very user friendly • Excellent help file and manual • “Wizard” menus • Intuitive output file • Simple input files • Can handle minor deviations from Hardy-Weinberg equilibrium • Cons • Cannot use sex-linked loci (NewPat can…supposedly…) • Cannot analyze haplo-diploid or polyploid species (Kinship can)

  7. NewPat

  8. Input files • Needs two input files – mother/offspring and fathers • Files in Excel comma delimited (csv) format

  9. Methods • Randomisation subroutine using “pseudo-males”

  10. Interesting features • Sex-linked loci • User can define sex-linked loci • These loci are used if informative, but not included in relatedness calculations • Microtitre position • Checks for mistakes in gel scoring. Assumes mistakes would appear in clusters • Null alleles

  11. Pros and Cons • Pros • Null alleles • Sex-linked loci • Cons • Horrid manual • Could not get the sex-linked feature to work - crashed • Output file confusing

  12. Mom1 Dad1 Mom2 Pup1a1 Pup1a2 Pup1a3 Pup1a4 Pup2b1 Pup2b2 Pup2b3 Pup1b1 Pup1b2 Pup1b3 ** * Pup2a1 Pup2a2 Pup2a3 Pup2a4 Pedigree • Not surprising that Cervus made mistakes!

More Related