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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...

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Autores principales: Moorthie, Sowmiya, Blencowe, Hannah, Darlison, Matthew W., Gibbons, Stephen, Lawn, Joy E., Mastroiacovo, Pierpaolo, Morris, Joan K., Modell, Bernadette
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2017
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.
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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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