Literature DB >> 6585347

Evaluating pedigree data. II. Identifying the cause of error in families with inconsistencies.

G M Lathrop, J W Huntsman, A B Hooper, R H Ward.   

Abstract

Pedigree data can be evaluated, and subsequently corrected, by analysis of the distribution of genetic markers, taking account of the possibility of mistyping . Using a model of pedigree error developed previously, we obtained the maximum likelihood estimates of error parameters in pedigree data from Tokelau. Posterior probabilities for the possible true relationships in each family are conditional on the putative relationships and the marker data are calculated using the parameter estimates. These probabilities are used as a basis for discriminating between pedigree error and genetic marker errors in families where inconsistencies have been observed. When applied to the Tokelau data and compared with the results of retyping inconsistent families, these statistical procedures are able to discriminate between pedigree and marker error, with approximately 90% accuracy, for families with two or more offspring. The large proportion of inconsistencies inferred to be due to marker error (61%) indicates the importance of discriminating between error sources when judging the reliability of putative relationship data. Application of our model of pedigree error has proved to be an efficient way of determining and subsequently correcting sources of error in extensive pedigree data collected in large surveys.

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Year:  1983        PMID: 6585347     DOI: 10.1159/000153406

Source DB:  PubMed          Journal:  Hum Hered        ISSN: 0001-5652            Impact factor:   0.444


  3 in total

Review 1.  Factors affecting statistical power in the detection of genetic association.

Authors:  Derek Gordon; Stephen J Finch
Journal:  J Clin Invest       Date:  2005-06       Impact factor: 14.808

2.  PedCheck: a program for identification of genotype incompatibilities in linkage analysis.

Authors:  J R O'Connell; D E Weeks
Journal:  Am J Hum Genet       Date:  1998-07       Impact factor: 11.025

3.  Identifying marker typing incompatibilities in linkage analysis.

Authors:  H M Stringham; M Boehnke
Journal:  Am J Hum Genet       Date:  1996-10       Impact factor: 11.025

  3 in total

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