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Chromosomal disorders: estimating baseline birth prevalence and pregnancy outcomes worldwide
Chromosomal disorders, of which Down syndrome is the most common, can cause multi-domain disability. In addition, compared to the general population, there is a higher frequency of death before the age of five. In many settings, large gaps in data availability have hampered policy-making, programme...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6167258/ https://www.ncbi.nlm.nih.gov/pubmed/28948513 http://dx.doi.org/10.1007/s12687-017-0336-2 |
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author | Moorthie, Sowmiya Blencowe, Hannah Darlison, Matthew W. Gibbons, Stephen Lawn, Joy E. Mastroiacovo, Pierpaolo Morris, Joan K. Modell, Bernadette |
author_facet | Moorthie, Sowmiya Blencowe, Hannah Darlison, Matthew W. Gibbons, Stephen Lawn, Joy E. Mastroiacovo, Pierpaolo Morris, Joan K. Modell, Bernadette |
author_sort | Moorthie, Sowmiya |
collection | PubMed |
description | Chromosomal disorders, of which Down syndrome is the most common, can cause multi-domain disability. In addition, compared to the general population, there is a higher frequency of death before the age of five. In many settings, large gaps in data availability have hampered policy-making, programme priorities and resource allocation for these important conditions. We have developed methods, which overcome this lack of data and allow estimation of the burden of affected pregnancies and their outcomes in different settings worldwide. For example, the methods include a simple equation relating the percentage of mothers 35 and over to Down syndrome birth prevalence. The results obtained provide a starting point for consideration of services that can be implemented for the care and prevention of these disorders. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s12687-017-0336-2) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6167258 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-61672582018-10-12 Chromosomal disorders: estimating baseline birth prevalence and pregnancy outcomes worldwide Moorthie, Sowmiya Blencowe, Hannah Darlison, Matthew W. Gibbons, Stephen Lawn, Joy E. Mastroiacovo, Pierpaolo Morris, Joan K. Modell, Bernadette J Community Genet Original Article Chromosomal disorders, of which Down syndrome is the most common, can cause multi-domain disability. In addition, compared to the general population, there is a higher frequency of death before the age of five. In many settings, large gaps in data availability have hampered policy-making, programme priorities and resource allocation for these important conditions. We have developed methods, which overcome this lack of data and allow estimation of the burden of affected pregnancies and their outcomes in different settings worldwide. For example, the methods include a simple equation relating the percentage of mothers 35 and over to Down syndrome birth prevalence. The results obtained provide a starting point for consideration of services that can be implemented for the care and prevention of these disorders. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s12687-017-0336-2) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2017-09-26 2018-10 /pmc/articles/PMC6167258/ /pubmed/28948513 http://dx.doi.org/10.1007/s12687-017-0336-2 Text en © The Author(s) 2017 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 Moorthie, Sowmiya Blencowe, Hannah Darlison, Matthew W. Gibbons, Stephen Lawn, Joy E. Mastroiacovo, Pierpaolo Morris, Joan K. Modell, Bernadette Chromosomal disorders: estimating baseline birth prevalence and pregnancy outcomes worldwide |
title | Chromosomal disorders: estimating baseline birth prevalence and pregnancy outcomes worldwide |
title_full | Chromosomal disorders: estimating baseline birth prevalence and pregnancy outcomes worldwide |
title_fullStr | Chromosomal disorders: estimating baseline birth prevalence and pregnancy outcomes worldwide |
title_full_unstemmed | Chromosomal disorders: estimating baseline birth prevalence and pregnancy outcomes worldwide |
title_short | Chromosomal disorders: estimating baseline birth prevalence and pregnancy outcomes worldwide |
title_sort | chromosomal disorders: estimating baseline birth prevalence and pregnancy outcomes worldwide |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6167258/ https://www.ncbi.nlm.nih.gov/pubmed/28948513 http://dx.doi.org/10.1007/s12687-017-0336-2 |
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