Sibship Reconstruction From Genetic Data With Typing Errors

Sibship reconstruction from genetic data with typing errors.

Likelihood methods have been developed to partition individuals in a sample into full-sib and half-sib families using genetic marker data without parental information. They invariably make the critical assumption that marker data are free of genotyping errors and mutations and are thus completely reliable in inferring sibships. Unfortunately, however, this assumption is rarely tenable for virtu...

Image Reconstruction from Incomplete Data

Image Reconstruction from Incomplete Data

Typing Errors

Like a modern horror movie villain who keeps coming back from the dead, a false story can take on a life of its own: Eskimos have hundreds of words for snow, Millard Fillmore ordered the first bathtub for the White House, that sort of thing. Even after they are shown to be false, some stories are repeated, embellished, and occasionally built into entire belief systems. These fictions may ordina...

Genetic Association Analysis Using Sibship Data: A Multilevel Model Approach

Family based association study (FBAS) has the advantages of controlling for population stratification and testing for linkage and association simultaneously. We propose a retrospective multilevel model (rMLM) approach to analyze sibship data by using genotypic information as the dependent variable. Simulated data sets were generated using the simulation of linkage and association (SIMLA) progra...