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Detection of disease‐causing CFTR variants in state newborn screening programs

BACKGROUND: Newborn screening (NBS) algorithms for cystic fibrosis (CF) vary in the United State of America and include different cystic fibrosis transmembrane conductance regulator (CFTR) variants. CFTR variant distribution varies among racial and ethnic groups. OBJECTIVE: Our objectives were to id...

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Autores principales: McGarry, Meghan E., Ren, Clement L., Wu, Runyu, Farrell, Philip M., McColley, Susanna A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9870974/
https://www.ncbi.nlm.nih.gov/pubmed/36237137
http://dx.doi.org/10.1002/ppul.26209
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author McGarry, Meghan E.
Ren, Clement L.
Wu, Runyu
Farrell, Philip M.
McColley, Susanna A.
author_facet McGarry, Meghan E.
Ren, Clement L.
Wu, Runyu
Farrell, Philip M.
McColley, Susanna A.
author_sort McGarry, Meghan E.
collection PubMed
description BACKGROUND: Newborn screening (NBS) algorithms for cystic fibrosis (CF) vary in the United State of America and include different cystic fibrosis transmembrane conductance regulator (CFTR) variants. CFTR variant distribution varies among racial and ethnic groups. OBJECTIVE: Our objectives were to identify differences in detection rate by race and ethnicity for CFTR variant panels, identify each US state detection rate for CFTR variant panels, and describe the rate of false‐negative NBS and delayed diagnoses by race and ethnicity. METHODS: This is a cross‐sectional analysis of the detection rate of at least 1 CFTR variant for seven panels by race and ethnicity in genotyped people with CF (PwCF) or CFTR‐related metabolic syndrome (CRMS)/CFTR‐related disorders in CF Foundation Patient Registry (CFFPR) in 2020. We estimated the case detection rate of CFTR variant panels by applying the detection rate to Census data. Using data from CFFPR, we compared the rate of delayed diagnosis or false‐negative NBS by race and ethnicity. RESULTS: For all panels, detection of at least 1 CFTR variant was highest in non‐Hispanic White PwCF (87.5%−97.0%), and lowest in Black, Asian, and Hispanic PwCF (41.9%−93.1%). Detection of at least 1 CFTR variant was lowest in Black and Asian people with CRMS/CFTR‐related disorders (48.4%−64.8%). States with increased racial and ethnic diversity have lower detection rates for all panels. Overall, 3.8% PwCF had a false‐negative NBS and 11.8% had a delayed diagnosis; Black, Hispanic, and mixed‐race PwCF were overrepresented. CONCLUSION: CFTR variant panels have lower detection rates in minoritized racial and ethnic groups leading to false‐negative NBS, delayed diagnosis, and likely health disparities.
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spelling pubmed-98709742023-04-13 Detection of disease‐causing CFTR variants in state newborn screening programs McGarry, Meghan E. Ren, Clement L. Wu, Runyu Farrell, Philip M. McColley, Susanna A. Pediatr Pulmonol Original Articles BACKGROUND: Newborn screening (NBS) algorithms for cystic fibrosis (CF) vary in the United State of America and include different cystic fibrosis transmembrane conductance regulator (CFTR) variants. CFTR variant distribution varies among racial and ethnic groups. OBJECTIVE: Our objectives were to identify differences in detection rate by race and ethnicity for CFTR variant panels, identify each US state detection rate for CFTR variant panels, and describe the rate of false‐negative NBS and delayed diagnoses by race and ethnicity. METHODS: This is a cross‐sectional analysis of the detection rate of at least 1 CFTR variant for seven panels by race and ethnicity in genotyped people with CF (PwCF) or CFTR‐related metabolic syndrome (CRMS)/CFTR‐related disorders in CF Foundation Patient Registry (CFFPR) in 2020. We estimated the case detection rate of CFTR variant panels by applying the detection rate to Census data. Using data from CFFPR, we compared the rate of delayed diagnosis or false‐negative NBS by race and ethnicity. RESULTS: For all panels, detection of at least 1 CFTR variant was highest in non‐Hispanic White PwCF (87.5%−97.0%), and lowest in Black, Asian, and Hispanic PwCF (41.9%−93.1%). Detection of at least 1 CFTR variant was lowest in Black and Asian people with CRMS/CFTR‐related disorders (48.4%−64.8%). States with increased racial and ethnic diversity have lower detection rates for all panels. Overall, 3.8% PwCF had a false‐negative NBS and 11.8% had a delayed diagnosis; Black, Hispanic, and mixed‐race PwCF were overrepresented. CONCLUSION: CFTR variant panels have lower detection rates in minoritized racial and ethnic groups leading to false‐negative NBS, delayed diagnosis, and likely health disparities. John Wiley and Sons Inc. 2022-10-25 2023-02 /pmc/articles/PMC9870974/ /pubmed/36237137 http://dx.doi.org/10.1002/ppul.26209 Text en © 2022 The Authors. Pediatric Pulmonology published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Original Articles
McGarry, Meghan E.
Ren, Clement L.
Wu, Runyu
Farrell, Philip M.
McColley, Susanna A.
Detection of disease‐causing CFTR variants in state newborn screening programs
title Detection of disease‐causing CFTR variants in state newborn screening programs
title_full Detection of disease‐causing CFTR variants in state newborn screening programs
title_fullStr Detection of disease‐causing CFTR variants in state newborn screening programs
title_full_unstemmed Detection of disease‐causing CFTR variants in state newborn screening programs
title_short Detection of disease‐causing CFTR variants in state newborn screening programs
title_sort detection of disease‐causing cftr variants in state newborn screening programs
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9870974/
https://www.ncbi.nlm.nih.gov/pubmed/36237137
http://dx.doi.org/10.1002/ppul.26209
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