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Estimation of ENPP1 deficiency genetic prevalence using a comprehensive literature review and population databases

BACKGROUND: ENPP1 Deficiency—caused by biallelic variants in ENPP1—leads to widespread arterial calcification in early life (Generalized Arterial Calcification of Infancy, GACI) or hypophosphatemic rickets in later life (Autosomal Recessive Hypophosphatemic Rickets type 2, ARHR2). A prior study usin...

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Autores principales: Chunn, Lauren M., Bissonnette, Jeffrey, Heinrich, Stefanie V., Mercurio, Stephanie A., Kiel, Mark J., Rutsch, Frank, Ferreira, Carlos R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9717445/
https://www.ncbi.nlm.nih.gov/pubmed/36461014
http://dx.doi.org/10.1186/s13023-022-02577-2
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author Chunn, Lauren M.
Bissonnette, Jeffrey
Heinrich, Stefanie V.
Mercurio, Stephanie A.
Kiel, Mark J.
Rutsch, Frank
Ferreira, Carlos R.
author_facet Chunn, Lauren M.
Bissonnette, Jeffrey
Heinrich, Stefanie V.
Mercurio, Stephanie A.
Kiel, Mark J.
Rutsch, Frank
Ferreira, Carlos R.
author_sort Chunn, Lauren M.
collection PubMed
description BACKGROUND: ENPP1 Deficiency—caused by biallelic variants in ENPP1—leads to widespread arterial calcification in early life (Generalized Arterial Calcification of Infancy, GACI) or hypophosphatemic rickets in later life (Autosomal Recessive Hypophosphatemic Rickets type 2, ARHR2). A prior study using the Exome Aggregation Consortium (ExAC)—a database of exomes obtained from approximately 60,000 individuals—estimated the genetic prevalence at approximately 1 in 200,000 pregnancies. METHODS: We estimated the genetic prevalence of ENPP1 Deficiency by evaluating allele frequencies from a population database, assuming Hardy–Weinberg equilibrium. This estimate benefitted from a comprehensive literature review using Mastermind (https://mastermind.genomenon.com/), which uncovered additional variants and supporting evidence, a larger population database with approximately 140,000 individuals, and improved interpretation of variants as per current clinical guidelines. RESULTS: We estimate a genetic prevalence of approximately 1 in 64,000 pregnancies, thus more than tripling the prior estimate. In addition, the carrier frequency of ENPP1 variants was found to be highest in East Asian populations, albeit based on a small sample. CONCLUSION: These results indicate that a significant number of patients with ENPP1 Deficiency remain undiagnosed. Efforts to increase disease awareness as well as expand genetic testing, particularly in non-European populations are warranted, especially now that clinical trials for enzyme replacement therapy, which proved successful in animal models, are underway. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13023-022-02577-2.
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spelling pubmed-97174452022-12-03 Estimation of ENPP1 deficiency genetic prevalence using a comprehensive literature review and population databases Chunn, Lauren M. Bissonnette, Jeffrey Heinrich, Stefanie V. Mercurio, Stephanie A. Kiel, Mark J. Rutsch, Frank Ferreira, Carlos R. Orphanet J Rare Dis Research BACKGROUND: ENPP1 Deficiency—caused by biallelic variants in ENPP1—leads to widespread arterial calcification in early life (Generalized Arterial Calcification of Infancy, GACI) or hypophosphatemic rickets in later life (Autosomal Recessive Hypophosphatemic Rickets type 2, ARHR2). A prior study using the Exome Aggregation Consortium (ExAC)—a database of exomes obtained from approximately 60,000 individuals—estimated the genetic prevalence at approximately 1 in 200,000 pregnancies. METHODS: We estimated the genetic prevalence of ENPP1 Deficiency by evaluating allele frequencies from a population database, assuming Hardy–Weinberg equilibrium. This estimate benefitted from a comprehensive literature review using Mastermind (https://mastermind.genomenon.com/), which uncovered additional variants and supporting evidence, a larger population database with approximately 140,000 individuals, and improved interpretation of variants as per current clinical guidelines. RESULTS: We estimate a genetic prevalence of approximately 1 in 64,000 pregnancies, thus more than tripling the prior estimate. In addition, the carrier frequency of ENPP1 variants was found to be highest in East Asian populations, albeit based on a small sample. CONCLUSION: These results indicate that a significant number of patients with ENPP1 Deficiency remain undiagnosed. Efforts to increase disease awareness as well as expand genetic testing, particularly in non-European populations are warranted, especially now that clinical trials for enzyme replacement therapy, which proved successful in animal models, are underway. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13023-022-02577-2. BioMed Central 2022-12-02 /pmc/articles/PMC9717445/ /pubmed/36461014 http://dx.doi.org/10.1186/s13023-022-02577-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Chunn, Lauren M.
Bissonnette, Jeffrey
Heinrich, Stefanie V.
Mercurio, Stephanie A.
Kiel, Mark J.
Rutsch, Frank
Ferreira, Carlos R.
Estimation of ENPP1 deficiency genetic prevalence using a comprehensive literature review and population databases
title Estimation of ENPP1 deficiency genetic prevalence using a comprehensive literature review and population databases
title_full Estimation of ENPP1 deficiency genetic prevalence using a comprehensive literature review and population databases
title_fullStr Estimation of ENPP1 deficiency genetic prevalence using a comprehensive literature review and population databases
title_full_unstemmed Estimation of ENPP1 deficiency genetic prevalence using a comprehensive literature review and population databases
title_short Estimation of ENPP1 deficiency genetic prevalence using a comprehensive literature review and population databases
title_sort estimation of enpp1 deficiency genetic prevalence using a comprehensive literature review and population databases
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9717445/
https://www.ncbi.nlm.nih.gov/pubmed/36461014
http://dx.doi.org/10.1186/s13023-022-02577-2
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