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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...

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Autores principales: Yongsheng, Zheng, Chong, Sun, Bingyou, Liu, Jianian, Hu, Haofeng, Chen, Chongbo, Zhao, Zhang, Victor Wei, Jie, Lin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
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.
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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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