Literature DB >> 15305325

Sampling correction in linkage analysis.

Emil Ginsburg1, Ida Malkin, Robert C Elston.   

Abstract

In a linkage analysis that requires the estimation of parameters other than the recombination fraction, we can construct a pedigree likelihood that leads to consistent parameter estimators if the sampling procedures are known. In particular, it is necessary to identify the subset of pedigree members "relevant to sampling" (RS), where by sampling we mean both pedigree ascertainment through a proband combination and the selective inclusion of the sampled pedigrees in the data that are analyzed. If both these procedures are independent of the marker phenotypes and the model of trait inheritance is known, then no sampling or ascertainment correction is needed to obtain a consistent estimator of the recombination fraction. Otherwise, the correction can be of two types: sampling-model-based, in which the ascertainment and inclusion procedures are modeled and used in the likelihood expression, or sampling-model-free, in which the data RS are "conditioned out" without any modeling of the sampling procedures. In either case, the pedigree proband sampling frame must be identified.

Mesh:

Year:  2004        PMID: 15305325     DOI: 10.1002/gepi.20008

Source DB:  PubMed          Journal:  Genet Epidemiol        ISSN: 0741-0395            Impact factor:   2.135


  2 in total

1.  Estimation of Trait-Model Parameters in a MOD Score Linkage Analysis.

Authors:  Markus Brugger; Susanne Rospleszcz; Konstantin Strauch
Journal:  Hum Hered       Date:  2017-11-01       Impact factor: 0.444

2.  Genetic association tests: a method for the joint analysis of family and case-control data.

Authors:  Courtney Gray-McGuire; Murielle Bochud; Robert Goodloe; Robert C Elston
Journal:  Hum Genomics       Date:  2009-10       Impact factor: 4.639

  2 in total

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