Cargando…
A data-driven evaluation of the size and content of expanded carrier screening panels
PURPOSE: The 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...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group US
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6752311/ https://www.ncbi.nlm.nih.gov/pubmed/30816298 http://dx.doi.org/10.1038/s41436-019-0466-5 |
_version_ | 1783452761450348544 |
---|---|
author | Ben-Shachar, Rotem Svenson, Ashley Goldberg, James D. Muzzey, Dale |
author_facet | Ben-Shachar, Rotem Svenson, Ashley Goldberg, James D. Muzzey, Dale |
author_sort | Ben-Shachar, Rotem |
collection | PubMed |
description | PURPOSE: The 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. METHODS: Carrier 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. RESULTS: Different 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. CONCLUSION: The 1-in-100 criterion limits at-risk couple detection and should be reconsidered. |
format | Online Article Text |
id | pubmed-6752311 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group US |
record_format | MEDLINE/PubMed |
spelling | pubmed-67523112019-09-23 A data-driven evaluation of the size and content of expanded carrier screening panels Ben-Shachar, Rotem Svenson, Ashley Goldberg, James D. Muzzey, Dale Genet Med Article PURPOSE: The 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. METHODS: Carrier 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. RESULTS: Different 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. CONCLUSION: The 1-in-100 criterion limits at-risk couple detection and should be reconsidered. Nature Publishing Group US 2019-02-28 2019 /pmc/articles/PMC6752311/ /pubmed/30816298 http://dx.doi.org/10.1038/s41436-019-0466-5 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Ben-Shachar, Rotem Svenson, Ashley Goldberg, James D. Muzzey, Dale A data-driven evaluation of the size and content of expanded carrier screening panels |
title | A data-driven evaluation of the size and content of expanded
carrier screening panels |
title_full | A data-driven evaluation of the size and content of expanded
carrier screening panels |
title_fullStr | A data-driven evaluation of the size and content of expanded
carrier screening panels |
title_full_unstemmed | A data-driven evaluation of the size and content of expanded
carrier screening panels |
title_short | A data-driven evaluation of the size and content of expanded
carrier screening panels |
title_sort | data-driven evaluation of the size and content of expanded
carrier screening panels |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6752311/ https://www.ncbi.nlm.nih.gov/pubmed/30816298 http://dx.doi.org/10.1038/s41436-019-0466-5 |
work_keys_str_mv | AT benshacharrotem adatadrivenevaluationofthesizeandcontentofexpandedcarrierscreeningpanels AT svensonashley adatadrivenevaluationofthesizeandcontentofexpandedcarrierscreeningpanels AT goldbergjamesd adatadrivenevaluationofthesizeandcontentofexpandedcarrierscreeningpanels AT muzzeydale adatadrivenevaluationofthesizeandcontentofexpandedcarrierscreeningpanels AT benshacharrotem datadrivenevaluationofthesizeandcontentofexpandedcarrierscreeningpanels AT svensonashley datadrivenevaluationofthesizeandcontentofexpandedcarrierscreeningpanels AT goldbergjamesd datadrivenevaluationofthesizeandcontentofexpandedcarrierscreeningpanels AT muzzeydale datadrivenevaluationofthesizeandcontentofexpandedcarrierscreeningpanels |