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Detection of genetic effects of environmental agents.

The fundamental problems in population monitoring for genetic effects are twofold: the binomialized nature of the data and the lower power due to small risk of finding positive results. The binomial character is artificial, even forced, and can with advantage be replaced by more refined analysis, an...

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Detalles Bibliográficos
Autor principal: Murphy, E A
Formato: Texto
Lenguaje:English
Publicado: 1981
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1568779/
https://www.ncbi.nlm.nih.gov/pubmed/7333250
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author Murphy, E A
author_facet Murphy, E A
author_sort Murphy, E A
collection PubMed
description The fundamental problems in population monitoring for genetic effects are twofold: the binomialized nature of the data and the lower power due to small risk of finding positive results. The binomial character is artificial, even forced, and can with advantage be replaced by more refined analysis, and by a focus on all mutations, not merely harmful ones. Moreover, a binomial treatment ignores accessory information (birth order, clustering, etc.). But this objective requires that an explicit model be used instead of nonparametric methods; a cancer may represent multiple independent hits that should be separately scored; sequencing of a codon or its product may show multiple distinct changes.
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spelling pubmed-15687792006-09-19 Detection of genetic effects of environmental agents. Murphy, E A Environ Health Perspect Research Article The fundamental problems in population monitoring for genetic effects are twofold: the binomialized nature of the data and the lower power due to small risk of finding positive results. The binomial character is artificial, even forced, and can with advantage be replaced by more refined analysis, and by a focus on all mutations, not merely harmful ones. Moreover, a binomial treatment ignores accessory information (birth order, clustering, etc.). But this objective requires that an explicit model be used instead of nonparametric methods; a cancer may represent multiple independent hits that should be separately scored; sequencing of a codon or its product may show multiple distinct changes. 1981-12 /pmc/articles/PMC1568779/ /pubmed/7333250 Text en
spellingShingle Research Article
Murphy, E A
Detection of genetic effects of environmental agents.
title Detection of genetic effects of environmental agents.
title_full Detection of genetic effects of environmental agents.
title_fullStr Detection of genetic effects of environmental agents.
title_full_unstemmed Detection of genetic effects of environmental agents.
title_short Detection of genetic effects of environmental agents.
title_sort detection of genetic effects of environmental agents.
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1568779/
https://www.ncbi.nlm.nih.gov/pubmed/7333250
work_keys_str_mv AT murphyea detectionofgeneticeffectsofenvironmentalagents