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Susceptibility scoring in family-based association testing

BACKGROUND: Family-based association testing is an important part of genetic epidemiology. Tests are available to include multiple siblings, unaffected offspring, and to adjust for environmental covariates. We explore a susceptibility residual method of adjustment for covariates. RESULTS: Through si...

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Autores principales: Poisson, Laila M, Rybicki, Benjamin A, Coon, Steven W, Barnholtz-Sloan, Jill S, Chase, Gary A
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2003
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1866485/
https://www.ncbi.nlm.nih.gov/pubmed/14975117
http://dx.doi.org/10.1186/1471-2156-4-S1-S49
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author Poisson, Laila M
Rybicki, Benjamin A
Coon, Steven W
Barnholtz-Sloan, Jill S
Chase, Gary A
author_facet Poisson, Laila M
Rybicki, Benjamin A
Coon, Steven W
Barnholtz-Sloan, Jill S
Chase, Gary A
author_sort Poisson, Laila M
collection PubMed
description BACKGROUND: Family-based association testing is an important part of genetic epidemiology. Tests are available to include multiple siblings, unaffected offspring, and to adjust for environmental covariates. We explore a susceptibility residual method of adjustment for covariates. RESULTS: Through simulation, we show that environmental adjustments that down-weight persons who are "destined" to be affected decrease the power to detect genetic association. We used the residual adjusted method on the Framingham Heart Study offspring data, provided for Genetic Analysis Workshop 13, and got mixed results. CONCLUSION: When the genetic effect and environmental effects are independent, a susceptibility residual method of adjustment for environmental covariates reduces the power of the association test. Further study is necessary to determine if residual adjustment is appropriate in more complex disease models.
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spelling pubmed-18664852007-05-11 Susceptibility scoring in family-based association testing Poisson, Laila M Rybicki, Benjamin A Coon, Steven W Barnholtz-Sloan, Jill S Chase, Gary A BMC Genet Proceedings BACKGROUND: Family-based association testing is an important part of genetic epidemiology. Tests are available to include multiple siblings, unaffected offspring, and to adjust for environmental covariates. We explore a susceptibility residual method of adjustment for covariates. RESULTS: Through simulation, we show that environmental adjustments that down-weight persons who are "destined" to be affected decrease the power to detect genetic association. We used the residual adjusted method on the Framingham Heart Study offspring data, provided for Genetic Analysis Workshop 13, and got mixed results. CONCLUSION: When the genetic effect and environmental effects are independent, a susceptibility residual method of adjustment for environmental covariates reduces the power of the association test. Further study is necessary to determine if residual adjustment is appropriate in more complex disease models. BioMed Central 2003-12-31 /pmc/articles/PMC1866485/ /pubmed/14975117 http://dx.doi.org/10.1186/1471-2156-4-S1-S49 Text en Copyright © 2003 Poisson et al; licensee BioMed Central Ltd http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Proceedings
Poisson, Laila M
Rybicki, Benjamin A
Coon, Steven W
Barnholtz-Sloan, Jill S
Chase, Gary A
Susceptibility scoring in family-based association testing
title Susceptibility scoring in family-based association testing
title_full Susceptibility scoring in family-based association testing
title_fullStr Susceptibility scoring in family-based association testing
title_full_unstemmed Susceptibility scoring in family-based association testing
title_short Susceptibility scoring in family-based association testing
title_sort susceptibility scoring in family-based association testing
topic Proceedings
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1866485/
https://www.ncbi.nlm.nih.gov/pubmed/14975117
http://dx.doi.org/10.1186/1471-2156-4-S1-S49
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