| Comparison of ascertainment-bias correction schemes for pedigrees ascertained through multiple probands. | |
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MedLine Citation:
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PMID: 4023475 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Assessing the genetic causation of a disease, which is of prime importance in medical genetics, is usually done by analysing pedigree data. When gathering such data, it is often more practical to adopt a non-random sampling strategy. However, unless suitable corrections for non-random sampling are made at the time of data analysis, inferences may be grossly affected. For pedigree data ascertained through multiple probands, various correction schemes have been suggested, although the efficiencies of these schemes are unknown. This paper compares such schemes, using Monte Carlo simulation techniques, under a simple genetic model, for pedigrees of fixed sizes and structures and for probands of two types of relationship--parent-offspring, and a pair of siblings. It is found that gene frequencies are grossly overestimated and the penetrance value of heterozygotes slightly underestimated whether or not any correction for non-random sampling of pedigrees is made. Knowledge of the population value of the gene frequency improves the estimate of the penetrance parameter. |
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Authors:
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P P Majumder |
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Publication Detail:
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Type: Comparative Study; Journal Article; Research Support, U.S. Gov't, P.H.S. |
Journal Detail:
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Title: Statistics in medicine Volume: 4 ISSN: 0277-6715 ISO Abbreviation: Stat Med Publication Date: 1985 Apr-Jun |
Date Detail:
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Created Date: 1985-09-25 Completed Date: 1985-09-25 Revised Date: 2007-11-14 |
Medline Journal Info:
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Nlm Unique ID: 8215016 Medline TA: Stat Med Country: ENGLAND |
Other Details:
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Languages: eng Pagination: 163-73 Citation Subset: IM |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Biometry* Female Gene Frequency Genetics, Medical* Humans Male Models, Genetic Monte Carlo Method Pedigree* |
| Grant Support | |
ID/Acronym/Agency:
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AG 01028/AG/NIA NIH HHS; CA 19311/CA/NCI NIH HHS; K0400230//PHS HHS |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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