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Rare single gene disorders: estimating baseline prevalence and outcomes worldwide
As child mortality rates overall are decreasing, non-communicable conditions, such as genetic disorders, constitute an increasing proportion of child mortality, morbidity and disability. To date, policy and public health programmes have focused on common genetic disorders. Rare single gene disorders...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6167259/ https://www.ncbi.nlm.nih.gov/pubmed/30109643 http://dx.doi.org/10.1007/s12687-018-0376-2 |
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author | Blencowe, Hannah Moorthie, Sowmiya Petrou, Mary Hamamy, Hanan Povey, Sue Bittles, Alan Gibbons, Stephen Darlison, Matthew Modell, Bernadette |
author_facet | Blencowe, Hannah Moorthie, Sowmiya Petrou, Mary Hamamy, Hanan Povey, Sue Bittles, Alan Gibbons, Stephen Darlison, Matthew Modell, Bernadette |
author_sort | Blencowe, Hannah |
collection | PubMed |
description | As child mortality rates overall are decreasing, non-communicable conditions, such as genetic disorders, constitute an increasing proportion of child mortality, morbidity and disability. To date, policy and public health programmes have focused on common genetic disorders. Rare single gene disorders are an important source of morbidity and premature mortality for affected families. When considered collectively, they account for an important public health burden, which is frequently under-recognised. To document the collective frequency and health burden of rare single gene disorders, it is necessary to aggregate them into large manageable groupings and take account of their family implications, effective interventions and service needs. Here, we present an approach to estimate the burden of these conditions up to 5 years of age in settings without empirical data. This approaches uses population-level demographic data, combined with assumptions based on empirical data from settings with data available, to provide population-level estimates which programmes and policy-makers when planning services can use. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s12687-018-0376-2) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6167259 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-61672592018-10-12 Rare single gene disorders: estimating baseline prevalence and outcomes worldwide Blencowe, Hannah Moorthie, Sowmiya Petrou, Mary Hamamy, Hanan Povey, Sue Bittles, Alan Gibbons, Stephen Darlison, Matthew Modell, Bernadette J Community Genet Original Article As child mortality rates overall are decreasing, non-communicable conditions, such as genetic disorders, constitute an increasing proportion of child mortality, morbidity and disability. To date, policy and public health programmes have focused on common genetic disorders. Rare single gene disorders are an important source of morbidity and premature mortality for affected families. When considered collectively, they account for an important public health burden, which is frequently under-recognised. To document the collective frequency and health burden of rare single gene disorders, it is necessary to aggregate them into large manageable groupings and take account of their family implications, effective interventions and service needs. Here, we present an approach to estimate the burden of these conditions up to 5 years of age in settings without empirical data. This approaches uses population-level demographic data, combined with assumptions based on empirical data from settings with data available, to provide population-level estimates which programmes and policy-makers when planning services can use. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s12687-018-0376-2) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2018-08-14 2018-10 /pmc/articles/PMC6167259/ /pubmed/30109643 http://dx.doi.org/10.1007/s12687-018-0376-2 Text en © The Author(s) 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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. |
spellingShingle | Original Article Blencowe, Hannah Moorthie, Sowmiya Petrou, Mary Hamamy, Hanan Povey, Sue Bittles, Alan Gibbons, Stephen Darlison, Matthew Modell, Bernadette Rare single gene disorders: estimating baseline prevalence and outcomes worldwide |
title | Rare single gene disorders: estimating baseline prevalence and outcomes worldwide |
title_full | Rare single gene disorders: estimating baseline prevalence and outcomes worldwide |
title_fullStr | Rare single gene disorders: estimating baseline prevalence and outcomes worldwide |
title_full_unstemmed | Rare single gene disorders: estimating baseline prevalence and outcomes worldwide |
title_short | Rare single gene disorders: estimating baseline prevalence and outcomes worldwide |
title_sort | rare single gene disorders: estimating baseline prevalence and outcomes worldwide |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6167259/ https://www.ncbi.nlm.nih.gov/pubmed/30109643 http://dx.doi.org/10.1007/s12687-018-0376-2 |
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