A data-driven evaluation of the size and content of expandedcarrier screening panels
PurposeThe American College of Obstetricians and Gynecologists (ACOG) proposed seven criteria for expanded carrier screening (ECS) panel design. To ensure that screening for a condition is sufficiently sensitive to identify carriers and reduce residual risk of noncarriers, one criterion requires a p...
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Veröffentlicht in: | Genetics in medicine 2019-09, Vol.21 (9), p.1931-1939 |
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container_end_page | 1939 |
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container_issue | 9 |
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container_title | Genetics in medicine |
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creator | Ben-Shachar Rotem Svenson, Ashley Goldberg, James D Muzzey Dale |
description | PurposeThe American College of Obstetricians and Gynecologists (ACOG) proposed seven criteria for expanded carrier screening (ECS) panel design. To ensure that screening for a condition is sufficiently sensitive to identify carriers and reduce residual risk of noncarriers, one criterion requires a per-condition carrier rate greater than 1 in 100. However, it is unestablished whether this threshold corresponds with a loss in clinical detection. The impact of the proposed panel design criteria on at-risk couple detection warrants data-driven evaluation.MethodsCarrier rates and at-risk couple rates were calculated in 56,281 patients who underwent a 176-condition ECS and were evaluated for panels satisfying various criteria. Condition-specific clinical detection rates were estimated via simulation.ResultsDifferent interpretations of the 1-in-100 criterion have variable impact: a compliant panel would include between 3 and 38 conditions, identify 11–81% fewer at-risk couples, and detect 36–79% fewer carriers than a 176-condition panel. If the carrier rate threshold must be exceeded in all ethnicities, ECS panels would lack prevalent conditions like cystic fibrosis. Simulations suggest that the clinical detection rate remains >84% for conditions with carrier rates as low as 1 in 1000.ConclusionThe 1-in-100 criterion limits at-risk couple detection and should be reconsidered. |
doi_str_mv | 10.1038/s41436-019-0466-5 |
format | Article |
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To ensure that screening for a condition is sufficiently sensitive to identify carriers and reduce residual risk of noncarriers, one criterion requires a per-condition carrier rate greater than 1 in 100. However, it is unestablished whether this threshold corresponds with a loss in clinical detection. The impact of the proposed panel design criteria on at-risk couple detection warrants data-driven evaluation.MethodsCarrier rates and at-risk couple rates were calculated in 56,281 patients who underwent a 176-condition ECS and were evaluated for panels satisfying various criteria. Condition-specific clinical detection rates were estimated via simulation.ResultsDifferent interpretations of the 1-in-100 criterion have variable impact: a compliant panel would include between 3 and 38 conditions, identify 11–81% fewer at-risk couples, and detect 36–79% fewer carriers than a 176-condition panel. If the carrier rate threshold must be exceeded in all ethnicities, ECS panels would lack prevalent conditions like cystic fibrosis. Simulations suggest that the clinical detection rate remains >84% for conditions with carrier rates as low as 1 in 1000.ConclusionThe 1-in-100 criterion limits at-risk couple detection and should be reconsidered.</description><identifier>ISSN: 1098-3600</identifier><identifier>EISSN: 1530-0366</identifier><identifier>DOI: 10.1038/s41436-019-0466-5</identifier><language>eng</language><publisher>Bethesda: Elsevier Limited</publisher><subject>Cystic fibrosis ; Disease ; Genetics ; Gynecology ; Identification</subject><ispartof>Genetics in medicine, 2019-09, Vol.21 (9), p.1931-1939</ispartof><rights>This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). 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To ensure that screening for a condition is sufficiently sensitive to identify carriers and reduce residual risk of noncarriers, one criterion requires a per-condition carrier rate greater than 1 in 100. However, it is unestablished whether this threshold corresponds with a loss in clinical detection. The impact of the proposed panel design criteria on at-risk couple detection warrants data-driven evaluation.MethodsCarrier rates and at-risk couple rates were calculated in 56,281 patients who underwent a 176-condition ECS and were evaluated for panels satisfying various criteria. Condition-specific clinical detection rates were estimated via simulation.ResultsDifferent interpretations of the 1-in-100 criterion have variable impact: a compliant panel would include between 3 and 38 conditions, identify 11–81% fewer at-risk couples, and detect 36–79% fewer carriers than a 176-condition panel. If the carrier rate threshold must be exceeded in all ethnicities, ECS panels would lack prevalent conditions like cystic fibrosis. Simulations suggest that the clinical detection rate remains >84% for conditions with carrier rates as low as 1 in 1000.ConclusionThe 1-in-100 criterion limits at-risk couple detection and should be reconsidered.</description><subject>Cystic fibrosis</subject><subject>Disease</subject><subject>Genetics</subject><subject>Gynecology</subject><subject>Identification</subject><issn>1098-3600</issn><issn>1530-0366</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><recordid>eNqNyk0KwjAUBOAgCv4ewN0D19GXpk3bpYjiAdxLaJ8aKUlNUhFPbwUP4GqGb4axpcC1QFlsQipSqTiKkmOqFM8GbCIyiRylUsO-Y1lwqRDHbBrCHVHkMsEJO22h1lHz2psnWaCnbjodjbPgLhBvBMG8CbStoXI2ko1fp1fbC9WV9t6Qh1B5ImvsFXqnJszZ6KKbQItfztjqsD_tjrz17tFRiOe767ztp3OSFGlWCJGX8r_XByhWRxM</recordid><startdate>20190901</startdate><enddate>20190901</enddate><creator>Ben-Shachar Rotem</creator><creator>Svenson, Ashley</creator><creator>Goldberg, James D</creator><creator>Muzzey Dale</creator><general>Elsevier Limited</general><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope></search><sort><creationdate>20190901</creationdate><title>A data-driven evaluation of the size and content of expandedcarrier screening panels</title><author>Ben-Shachar Rotem ; Svenson, Ashley ; Goldberg, James D ; Muzzey Dale</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-proquest_journals_22845811793</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Cystic fibrosis</topic><topic>Disease</topic><topic>Genetics</topic><topic>Gynecology</topic><topic>Identification</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ben-Shachar Rotem</creatorcontrib><creatorcontrib>Svenson, Ashley</creatorcontrib><creatorcontrib>Goldberg, James D</creatorcontrib><creatorcontrib>Muzzey Dale</creatorcontrib><collection>ProQuest Central (Corporate)</collection><collection>ProQuest Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><jtitle>Genetics in medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ben-Shachar Rotem</au><au>Svenson, Ashley</au><au>Goldberg, James D</au><au>Muzzey Dale</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A data-driven evaluation of the size and content of expandedcarrier screening panels</atitle><jtitle>Genetics in medicine</jtitle><date>2019-09-01</date><risdate>2019</risdate><volume>21</volume><issue>9</issue><spage>1931</spage><epage>1939</epage><pages>1931-1939</pages><issn>1098-3600</issn><eissn>1530-0366</eissn><abstract>PurposeThe American College of Obstetricians and Gynecologists (ACOG) proposed seven criteria for expanded carrier screening (ECS) panel design. To ensure that screening for a condition is sufficiently sensitive to identify carriers and reduce residual risk of noncarriers, one criterion requires a per-condition carrier rate greater than 1 in 100. However, it is unestablished whether this threshold corresponds with a loss in clinical detection. The impact of the proposed panel design criteria on at-risk couple detection warrants data-driven evaluation.MethodsCarrier rates and at-risk couple rates were calculated in 56,281 patients who underwent a 176-condition ECS and were evaluated for panels satisfying various criteria. Condition-specific clinical detection rates were estimated via simulation.ResultsDifferent interpretations of the 1-in-100 criterion have variable impact: a compliant panel would include between 3 and 38 conditions, identify 11–81% fewer at-risk couples, and detect 36–79% fewer carriers than a 176-condition panel. If the carrier rate threshold must be exceeded in all ethnicities, ECS panels would lack prevalent conditions like cystic fibrosis. Simulations suggest that the clinical detection rate remains >84% for conditions with carrier rates as low as 1 in 1000.ConclusionThe 1-in-100 criterion limits at-risk couple detection and should be reconsidered.</abstract><cop>Bethesda</cop><pub>Elsevier Limited</pub><doi>10.1038/s41436-019-0466-5</doi></addata></record> |
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subjects | Cystic fibrosis Disease Genetics Gynecology Identification |
title | A data-driven evaluation of the size and content of expandedcarrier screening panels |
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