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Prevalence estimation of ATTRv in China based on genetic databases
Introduction: Amyloid transthyretin (ATTR) is divided into either hereditary (ATTRv) or sporadic (ATTRwt) and ATTRv is a rare hereditary disease transmitted as an autosomal dominant manner. Its global prevalence is traditionally estimated as 5,000 to 10,000 persons. However, it may be underestimated...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10133693/ https://www.ncbi.nlm.nih.gov/pubmed/37124609 http://dx.doi.org/10.3389/fgene.2023.1126836 |
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author | Yongsheng, Zheng Chong, Sun Bingyou, Liu Jianian, Hu Haofeng, Chen Chongbo, Zhao Zhang, Victor Wei Jie, Lin |
author_facet | Yongsheng, Zheng Chong, Sun Bingyou, Liu Jianian, Hu Haofeng, Chen Chongbo, Zhao Zhang, Victor Wei Jie, Lin |
author_sort | Yongsheng, Zheng |
collection | PubMed |
description | Introduction: Amyloid transthyretin (ATTR) is divided into either hereditary (ATTRv) or sporadic (ATTRwt) and ATTRv is a rare hereditary disease transmitted as an autosomal dominant manner. Its global prevalence is traditionally estimated as 5,000 to 10,000 persons. However, it may be underestimated and the exact prevalence of ATTRv in China mainland remains unknown. Methods: The Genome Aggregation database (gnomAD) database (containing 125,748 exomes) and two genomic sequencing databases——China Metabolic Analytics Project (ChinaMAP) (containing 10588 individuals) and Amcarelab gene database (containing 45392 exomes), were integrated to estimate the prevalence of ATTRv in the world and mainland Chinese populations. Pathogenic variants allele frequency and the prevalence of ATTRv was calculated. Results: Six variants, counting 470 alleles, were defined as pathogenic variants in gnomAD. The prevalence of ATTRv in the world population was 57.4/100,000. Two variants (2 allele counts) and 15 variants (34 individuals) were defined as pathogenic variants in the ChinaMAP database and the Amcarelab exome database, respectively. Thus, the estimated prevalence interval of ATTRv in mainland China was 18.9/100,000-74,9/100,000. Conclusion: The present study demonstrated that the previous prevalence was greatly underestimated using traditional methods. Therefore, raising awareness of the disease is essential for recognizing ATTRv in its early stage. |
format | Online Article Text |
id | pubmed-10133693 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-101336932023-04-28 Prevalence estimation of ATTRv in China based on genetic databases Yongsheng, Zheng Chong, Sun Bingyou, Liu Jianian, Hu Haofeng, Chen Chongbo, Zhao Zhang, Victor Wei Jie, Lin Front Genet Genetics Introduction: Amyloid transthyretin (ATTR) is divided into either hereditary (ATTRv) or sporadic (ATTRwt) and ATTRv is a rare hereditary disease transmitted as an autosomal dominant manner. Its global prevalence is traditionally estimated as 5,000 to 10,000 persons. However, it may be underestimated and the exact prevalence of ATTRv in China mainland remains unknown. Methods: The Genome Aggregation database (gnomAD) database (containing 125,748 exomes) and two genomic sequencing databases——China Metabolic Analytics Project (ChinaMAP) (containing 10588 individuals) and Amcarelab gene database (containing 45392 exomes), were integrated to estimate the prevalence of ATTRv in the world and mainland Chinese populations. Pathogenic variants allele frequency and the prevalence of ATTRv was calculated. Results: Six variants, counting 470 alleles, were defined as pathogenic variants in gnomAD. The prevalence of ATTRv in the world population was 57.4/100,000. Two variants (2 allele counts) and 15 variants (34 individuals) were defined as pathogenic variants in the ChinaMAP database and the Amcarelab exome database, respectively. Thus, the estimated prevalence interval of ATTRv in mainland China was 18.9/100,000-74,9/100,000. Conclusion: The present study demonstrated that the previous prevalence was greatly underestimated using traditional methods. Therefore, raising awareness of the disease is essential for recognizing ATTRv in its early stage. Frontiers Media S.A. 2023-04-13 /pmc/articles/PMC10133693/ /pubmed/37124609 http://dx.doi.org/10.3389/fgene.2023.1126836 Text en Copyright © 2023 Yongsheng, Chong, Bingyou, Jianian, Haofeng, Chongbo, Zhang and Jie. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Yongsheng, Zheng Chong, Sun Bingyou, Liu Jianian, Hu Haofeng, Chen Chongbo, Zhao Zhang, Victor Wei Jie, Lin Prevalence estimation of ATTRv in China based on genetic databases |
title | Prevalence estimation of ATTRv in China based on genetic databases |
title_full | Prevalence estimation of ATTRv in China based on genetic databases |
title_fullStr | Prevalence estimation of ATTRv in China based on genetic databases |
title_full_unstemmed | Prevalence estimation of ATTRv in China based on genetic databases |
title_short | Prevalence estimation of ATTRv in China based on genetic databases |
title_sort | prevalence estimation of attrv in china based on genetic databases |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10133693/ https://www.ncbi.nlm.nih.gov/pubmed/37124609 http://dx.doi.org/10.3389/fgene.2023.1126836 |
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