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 simu...
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Gespeichert in:

Autor*in:	Poisson, Laila M [verfasserIn] Rybicki, Benjamin A Coon, Steven W Barnholtz-Sloan, Jill S Chase, Gary A

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2003

Schlagwörter:	Affection Status Adjusted Method Transmission Disequilibrium Test Covariate Adjustment Genetic Analysis Workshop

Anmerkung:	© Poisson et al; licensee BioMed Central Ltd 2003. This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (

Übergeordnetes Werk:	Enthalten in: BMC genetics - London : BioMed Central, 2000, 4(2003), Suppl 1 vom: 31. Dez.
Übergeordnetes Werk:	volume:4 ; year:2003 ; number:Suppl 1 ; day:31 ; month:12

Links:	Volltext

DOI / URN:	10.1186/1471-2156-4-S1-S49

Katalog-ID:	SPR026998297

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520			\|a 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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allfields	10.1186/1471-2156-4-S1-S49 doi (DE-627)SPR026998297 (SPR)1471-2156-4-S1-S49-e DE-627 ger DE-627 rakwb eng Poisson, Laila M verfasserin aut Susceptibility scoring in family-based association testing 2003 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Poisson et al; licensee BioMed Central Ltd 2003. This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License ( 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. Affection Status (dpeaa)DE-He213 Adjusted Method (dpeaa)DE-He213 Transmission Disequilibrium Test (dpeaa)DE-He213 Covariate Adjustment (dpeaa)DE-He213 Genetic Analysis Workshop (dpeaa)DE-He213 Rybicki, Benjamin A aut Coon, Steven W aut Barnholtz-Sloan, Jill S aut Chase, Gary A aut Enthalten in BMC genetics London : BioMed Central, 2000 4(2003), Suppl 1 vom: 31. Dez. (DE-627)326644938 (DE-600)2041497-3 1471-2156 nnns volume:4 year:2003 number:Suppl 1 day:31 month:12 https://dx.doi.org/10.1186/1471-2156-4-S1-S49 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 4 2003 Suppl 1 31 12
spelling	10.1186/1471-2156-4-S1-S49 doi (DE-627)SPR026998297 (SPR)1471-2156-4-S1-S49-e DE-627 ger DE-627 rakwb eng Poisson, Laila M verfasserin aut Susceptibility scoring in family-based association testing 2003 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Poisson et al; licensee BioMed Central Ltd 2003. This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License ( 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. Affection Status (dpeaa)DE-He213 Adjusted Method (dpeaa)DE-He213 Transmission Disequilibrium Test (dpeaa)DE-He213 Covariate Adjustment (dpeaa)DE-He213 Genetic Analysis Workshop (dpeaa)DE-He213 Rybicki, Benjamin A aut Coon, Steven W aut Barnholtz-Sloan, Jill S aut Chase, Gary A aut Enthalten in BMC genetics London : BioMed Central, 2000 4(2003), Suppl 1 vom: 31. Dez. (DE-627)326644938 (DE-600)2041497-3 1471-2156 nnns volume:4 year:2003 number:Suppl 1 day:31 month:12 https://dx.doi.org/10.1186/1471-2156-4-S1-S49 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 4 2003 Suppl 1 31 12
allfields_unstemmed	10.1186/1471-2156-4-S1-S49 doi (DE-627)SPR026998297 (SPR)1471-2156-4-S1-S49-e DE-627 ger DE-627 rakwb eng Poisson, Laila M verfasserin aut Susceptibility scoring in family-based association testing 2003 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Poisson et al; licensee BioMed Central Ltd 2003. This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License ( 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. Affection Status (dpeaa)DE-He213 Adjusted Method (dpeaa)DE-He213 Transmission Disequilibrium Test (dpeaa)DE-He213 Covariate Adjustment (dpeaa)DE-He213 Genetic Analysis Workshop (dpeaa)DE-He213 Rybicki, Benjamin A aut Coon, Steven W aut Barnholtz-Sloan, Jill S aut Chase, Gary A aut Enthalten in BMC genetics London : BioMed Central, 2000 4(2003), Suppl 1 vom: 31. Dez. (DE-627)326644938 (DE-600)2041497-3 1471-2156 nnns volume:4 year:2003 number:Suppl 1 day:31 month:12 https://dx.doi.org/10.1186/1471-2156-4-S1-S49 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 4 2003 Suppl 1 31 12
allfieldsGer	10.1186/1471-2156-4-S1-S49 doi (DE-627)SPR026998297 (SPR)1471-2156-4-S1-S49-e DE-627 ger DE-627 rakwb eng Poisson, Laila M verfasserin aut Susceptibility scoring in family-based association testing 2003 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Poisson et al; licensee BioMed Central Ltd 2003. This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License ( 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. Affection Status (dpeaa)DE-He213 Adjusted Method (dpeaa)DE-He213 Transmission Disequilibrium Test (dpeaa)DE-He213 Covariate Adjustment (dpeaa)DE-He213 Genetic Analysis Workshop (dpeaa)DE-He213 Rybicki, Benjamin A aut Coon, Steven W aut Barnholtz-Sloan, Jill S aut Chase, Gary A aut Enthalten in BMC genetics London : BioMed Central, 2000 4(2003), Suppl 1 vom: 31. Dez. (DE-627)326644938 (DE-600)2041497-3 1471-2156 nnns volume:4 year:2003 number:Suppl 1 day:31 month:12 https://dx.doi.org/10.1186/1471-2156-4-S1-S49 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 4 2003 Suppl 1 31 12
allfieldsSound	10.1186/1471-2156-4-S1-S49 doi (DE-627)SPR026998297 (SPR)1471-2156-4-S1-S49-e DE-627 ger DE-627 rakwb eng Poisson, Laila M verfasserin aut Susceptibility scoring in family-based association testing 2003 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Poisson et al; licensee BioMed Central Ltd 2003. This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License ( 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. Affection Status (dpeaa)DE-He213 Adjusted Method (dpeaa)DE-He213 Transmission Disequilibrium Test (dpeaa)DE-He213 Covariate Adjustment (dpeaa)DE-He213 Genetic Analysis Workshop (dpeaa)DE-He213 Rybicki, Benjamin A aut Coon, Steven W aut Barnholtz-Sloan, Jill S aut Chase, Gary A aut Enthalten in BMC genetics London : BioMed Central, 2000 4(2003), Suppl 1 vom: 31. Dez. (DE-627)326644938 (DE-600)2041497-3 1471-2156 nnns volume:4 year:2003 number:Suppl 1 day:31 month:12 https://dx.doi.org/10.1186/1471-2156-4-S1-S49 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 4 2003 Suppl 1 31 12
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author	Poisson, Laila M
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topic_title	Susceptibility scoring in family-based association testing Affection Status (dpeaa)DE-He213 Adjusted Method (dpeaa)DE-He213 Transmission Disequilibrium Test (dpeaa)DE-He213 Covariate Adjustment (dpeaa)DE-He213 Genetic Analysis Workshop (dpeaa)DE-He213
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title	Susceptibility scoring in family-based association testing
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title_full	Susceptibility scoring in family-based association testing
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title_sort	susceptibility scoring in family-based association testing
title_auth	Susceptibility scoring in family-based association testing
abstract	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. © Poisson et al; licensee BioMed Central Ltd 2003. This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (
abstractGer	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. © Poisson et al; licensee BioMed Central Ltd 2003. This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (
abstract_unstemmed	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. © Poisson et al; licensee BioMed Central Ltd 2003. This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (
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title_short	Susceptibility scoring in family-based association testing
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author2	Rybicki, Benjamin A Coon, Steven W Barnholtz-Sloan, Jill S Chase, Gary A
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up_date	2024-07-03T23:51:43.747Z
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Susceptibility scoring in family-based association testing

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