Segregation analysis with uncertain ascertainment: Application to Fanconi anemia Journal Article


Authors: Rogatko, A.; Auerbach, A. D.
Article Title: Segregation analysis with uncertain ascertainment: Application to Fanconi anemia
Abstract: A Bayesian solution for making inferences about segregation parameters with no information about the ascertainment is presented. Inferences about the segregation probability and the probability of being sporadic are made through the posterior marginal distribution of these parameters after integrating out the ascertainment probability, the nuisance parameter. The method was tested with real and simulated data and performed well. Original Fanconi anemia data, for which no information about the ascertainment was available, were then analyzed, with results that confirmed a monogenic autosomal recessive mode of inheritance.
Keywords: heredity; bayes theorem; biological model; cystic fibrosis; models, genetic; fanconi anemia; autosomal dominant inheritance; gene segregation; anemia, aplastic; genes, recessive; human; support, non-u.s. gov't; support, u.s. gov't, p.h.s.; ascertainment
Journal Title: American Journal of Human Genetics
Volume: 42
Issue: 6
ISSN: 0002-9297
Publisher: Cell Press  
Date Published: 1988-06-01
Start Page: 889
End Page: 897
Language: English
PUBMED: 3369448
PROVIDER: scopus
PMCID: PMC1715212
DOI/URL:
Notes: Article -- Export Date: 6 August 2020 -- Source: Scopus
Citation Impact
MSK Authors
  1. Andre Rogatko
    23 Rogatko