Making Medical Decisions in Dependence of Genetic Background: Estimation of the Utility of DNA Testing in Clinical, Pharmaco-Epidemiological or Genetic Studies
ABSTRACT An index measuring the utility of testing a DNA marker before deciding between two alternative treatments is proposed which can be estimated from pharmaco‐epidemiological case‐control or cohort studies. In the case‐control design, external estimates of the prevalence of the disease and of t...
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Veröffentlicht in: | Genetic epidemiology 2013-05, Vol.37 (4), p.311-322 |
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creator | Nguyen, Thuy Trang Schäfer, Helmut Timmesfeld, Nina |
description | ABSTRACT
An index measuring the utility of testing a DNA marker before deciding between two alternative treatments is proposed which can be estimated from pharmaco‐epidemiological case‐control or cohort studies. In the case‐control design, external estimates of the prevalence of the disease and of the frequency of the genetic risk variant are required for estimating the utility index. Formulas for point and interval estimates are derived. Empirical coverage probabilities of the confidence intervals were estimated under different scenarios of disease prevalence, prevalence of drug use, and population frequency of the genetic variant. To illustrate our method, we re‐analyse pharmaco‐epidemiological case‐control data on oral contraceptive intake and venous thrombosis in carriers and non‐carriers of the factor V Leiden mutation. We also re‐analyse cross‐sectional data from the Framingham study on a gene‐diet interaction between an APOA2 polymorphism and high saturated fat intake on obesity. We conclude that the utility index may be helpful to evaluate and appraise the potential clinical and public health relevance of gene‐environment interaction effects detected in genomic and candidate gene association studies and may be a valuable decision support for designing prospective studies on the clinical utility. |
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An index measuring the utility of testing a DNA marker before deciding between two alternative treatments is proposed which can be estimated from pharmaco‐epidemiological case‐control or cohort studies. In the case‐control design, external estimates of the prevalence of the disease and of the frequency of the genetic risk variant are required for estimating the utility index. Formulas for point and interval estimates are derived. Empirical coverage probabilities of the confidence intervals were estimated under different scenarios of disease prevalence, prevalence of drug use, and population frequency of the genetic variant. To illustrate our method, we re‐analyse pharmaco‐epidemiological case‐control data on oral contraceptive intake and venous thrombosis in carriers and non‐carriers of the factor V Leiden mutation. We also re‐analyse cross‐sectional data from the Framingham study on a gene‐diet interaction between an APOA2 polymorphism and high saturated fat intake on obesity. We conclude that the utility index may be helpful to evaluate and appraise the potential clinical and public health relevance of gene‐environment interaction effects detected in genomic and candidate gene association studies and may be a valuable decision support for designing prospective studies on the clinical utility.</description><identifier>ISSN: 0741-0395</identifier><identifier>EISSN: 1098-2272</identifier><identifier>DOI: 10.1002/gepi.21701</identifier><identifier>PMID: 23558781</identifier><language>eng</language><publisher>United States: Blackwell Publishing Ltd</publisher><subject>Apolipoprotein A-II - genetics ; case-control study design ; clinical utility ; cohort study design ; Computer Simulation ; Confidence intervals ; Decision Support Systems, Clinical ; Deoxyribonucleic acid ; Dependence ; DNA ; Drug Therapy - methods ; Factor V - genetics ; gene by treatment interaction ; gene-environment interaction on the additive scale ; Genetic Markers ; Genetic Predisposition to Disease ; Genotype ; Humans ; Models, Statistical ; Odds Ratio ; Polymorphism, Genetic ; predictive genetic marker ; Probability ; public health ; Research Design ; Sequence Analysis, DNA - methods ; Studies</subject><ispartof>Genetic epidemiology, 2013-05, Vol.37 (4), p.311-322</ispartof><rights>2013 Wiley Periodicals, Inc.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4281-6a32f9dbfa2bc14f0febc7c337416ce5d603a4ba65f1f659ddfb21ad4f7d13e3</citedby><cites>FETCH-LOGICAL-c4281-6a32f9dbfa2bc14f0febc7c337416ce5d603a4ba65f1f659ddfb21ad4f7d13e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fgepi.21701$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fgepi.21701$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,45550,45551</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23558781$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Nguyen, Thuy Trang</creatorcontrib><creatorcontrib>Schäfer, Helmut</creatorcontrib><creatorcontrib>Timmesfeld, Nina</creatorcontrib><title>Making Medical Decisions in Dependence of Genetic Background: Estimation of the Utility of DNA Testing in Clinical, Pharmaco-Epidemiological or Genetic Studies</title><title>Genetic epidemiology</title><addtitle>Genet. Epidemiol</addtitle><description>ABSTRACT
An index measuring the utility of testing a DNA marker before deciding between two alternative treatments is proposed which can be estimated from pharmaco‐epidemiological case‐control or cohort studies. In the case‐control design, external estimates of the prevalence of the disease and of the frequency of the genetic risk variant are required for estimating the utility index. Formulas for point and interval estimates are derived. Empirical coverage probabilities of the confidence intervals were estimated under different scenarios of disease prevalence, prevalence of drug use, and population frequency of the genetic variant. To illustrate our method, we re‐analyse pharmaco‐epidemiological case‐control data on oral contraceptive intake and venous thrombosis in carriers and non‐carriers of the factor V Leiden mutation. We also re‐analyse cross‐sectional data from the Framingham study on a gene‐diet interaction between an APOA2 polymorphism and high saturated fat intake on obesity. We conclude that the utility index may be helpful to evaluate and appraise the potential clinical and public health relevance of gene‐environment interaction effects detected in genomic and candidate gene association studies and may be a valuable decision support for designing prospective studies on the clinical utility.</description><subject>Apolipoprotein A-II - genetics</subject><subject>case-control study design</subject><subject>clinical utility</subject><subject>cohort study design</subject><subject>Computer Simulation</subject><subject>Confidence intervals</subject><subject>Decision Support Systems, Clinical</subject><subject>Deoxyribonucleic acid</subject><subject>Dependence</subject><subject>DNA</subject><subject>Drug Therapy - methods</subject><subject>Factor V - genetics</subject><subject>gene by treatment interaction</subject><subject>gene-environment interaction on the additive scale</subject><subject>Genetic Markers</subject><subject>Genetic Predisposition to Disease</subject><subject>Genotype</subject><subject>Humans</subject><subject>Models, Statistical</subject><subject>Odds Ratio</subject><subject>Polymorphism, Genetic</subject><subject>predictive genetic marker</subject><subject>Probability</subject><subject>public health</subject><subject>Research Design</subject><subject>Sequence Analysis, DNA - methods</subject><subject>Studies</subject><issn>0741-0395</issn><issn>1098-2272</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkc9u1DAQhyMEokvhwgMgS1wQIsV_4sThVrbLUtRdiroIbpZjj7fuZuMQJ4J9Gl4Vp9vugQOcrJG--WY8vyR5TvAJwZi-XUPrTigpMHmQTAguRUppQR8mE1xkJMWs5EfJkxBuMCYkK_nj5IgyzkUhyCT5vVAb16zRAozTqkZnoF1wvgnINbFooTHQaEDeojk00DuN3iu9WXd-aMw7NAu926o-NoxEfw3oa-9q1-_G8mx5ilYQieiPtmntmnHGG3R5rbqt0j6dtc7A1vnar2-n--4w5aofjIPwNHlkVR3g2d17nKw-zFbTj-nF5_n59PQi1RkVJM0Vo7Y0lVW00iSz2EKlC81YvECugZscM5VVKueW2JyXxtiKEmUyWxjCgB0nr_batvM_hriz3Lqgoa5VA34IknCWiYyzXPwfZVRQKkSWR_TlX-iNH7om_mMUYorLuEqkXu8p3fkQOrCy7eJRu50kWI4ByzFgeRtwhF_cKYdqC-aA3icaAbIHfroadv9Qyfns8vxemu57XOjh16FHdRuZF6zg8ttyLhf51fdSfFnKT-wPvtnAoA</recordid><startdate>201305</startdate><enddate>201305</enddate><creator>Nguyen, Thuy Trang</creator><creator>Schäfer, Helmut</creator><creator>Timmesfeld, Nina</creator><general>Blackwell Publishing Ltd</general><general>Wiley Subscription Services, Inc</general><scope>BSCLL</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QP</scope><scope>7QR</scope><scope>7TK</scope><scope>8FD</scope><scope>FR3</scope><scope>K9.</scope><scope>P64</scope><scope>RC3</scope><scope>7X8</scope><scope>7TM</scope></search><sort><creationdate>201305</creationdate><title>Making Medical Decisions in Dependence of Genetic Background: Estimation of the Utility of DNA Testing in Clinical, Pharmaco-Epidemiological or Genetic Studies</title><author>Nguyen, Thuy Trang ; Schäfer, Helmut ; Timmesfeld, Nina</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4281-6a32f9dbfa2bc14f0febc7c337416ce5d603a4ba65f1f659ddfb21ad4f7d13e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Apolipoprotein A-II - genetics</topic><topic>case-control study design</topic><topic>clinical utility</topic><topic>cohort study design</topic><topic>Computer Simulation</topic><topic>Confidence intervals</topic><topic>Decision Support Systems, Clinical</topic><topic>Deoxyribonucleic acid</topic><topic>Dependence</topic><topic>DNA</topic><topic>Drug Therapy - methods</topic><topic>Factor V - genetics</topic><topic>gene by treatment interaction</topic><topic>gene-environment interaction on the additive scale</topic><topic>Genetic Markers</topic><topic>Genetic Predisposition to Disease</topic><topic>Genotype</topic><topic>Humans</topic><topic>Models, Statistical</topic><topic>Odds Ratio</topic><topic>Polymorphism, Genetic</topic><topic>predictive genetic marker</topic><topic>Probability</topic><topic>public health</topic><topic>Research Design</topic><topic>Sequence Analysis, DNA - methods</topic><topic>Studies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Nguyen, Thuy Trang</creatorcontrib><creatorcontrib>Schäfer, Helmut</creatorcontrib><creatorcontrib>Timmesfeld, Nina</creatorcontrib><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>Nucleic Acids Abstracts</collection><jtitle>Genetic epidemiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Nguyen, Thuy Trang</au><au>Schäfer, Helmut</au><au>Timmesfeld, Nina</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Making Medical Decisions in Dependence of Genetic Background: Estimation of the Utility of DNA Testing in Clinical, Pharmaco-Epidemiological or Genetic Studies</atitle><jtitle>Genetic epidemiology</jtitle><addtitle>Genet. Epidemiol</addtitle><date>2013-05</date><risdate>2013</risdate><volume>37</volume><issue>4</issue><spage>311</spage><epage>322</epage><pages>311-322</pages><issn>0741-0395</issn><eissn>1098-2272</eissn><abstract>ABSTRACT
An index measuring the utility of testing a DNA marker before deciding between two alternative treatments is proposed which can be estimated from pharmaco‐epidemiological case‐control or cohort studies. In the case‐control design, external estimates of the prevalence of the disease and of the frequency of the genetic risk variant are required for estimating the utility index. Formulas for point and interval estimates are derived. Empirical coverage probabilities of the confidence intervals were estimated under different scenarios of disease prevalence, prevalence of drug use, and population frequency of the genetic variant. To illustrate our method, we re‐analyse pharmaco‐epidemiological case‐control data on oral contraceptive intake and venous thrombosis in carriers and non‐carriers of the factor V Leiden mutation. We also re‐analyse cross‐sectional data from the Framingham study on a gene‐diet interaction between an APOA2 polymorphism and high saturated fat intake on obesity. We conclude that the utility index may be helpful to evaluate and appraise the potential clinical and public health relevance of gene‐environment interaction effects detected in genomic and candidate gene association studies and may be a valuable decision support for designing prospective studies on the clinical utility.</abstract><cop>United States</cop><pub>Blackwell Publishing Ltd</pub><pmid>23558781</pmid><doi>10.1002/gepi.21701</doi><tpages>12</tpages></addata></record> |
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subjects | Apolipoprotein A-II - genetics case-control study design clinical utility cohort study design Computer Simulation Confidence intervals Decision Support Systems, Clinical Deoxyribonucleic acid Dependence DNA Drug Therapy - methods Factor V - genetics gene by treatment interaction gene-environment interaction on the additive scale Genetic Markers Genetic Predisposition to Disease Genotype Humans Models, Statistical Odds Ratio Polymorphism, Genetic predictive genetic marker Probability public health Research Design Sequence Analysis, DNA - methods Studies |
title | Making Medical Decisions in Dependence of Genetic Background: Estimation of the Utility of DNA Testing in Clinical, Pharmaco-Epidemiological or Genetic Studies |
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