Moorthie, S; Blencowe, H; Darlison, MW; Gibbons, S; Lawn, JE; Mastroiacovo, P; Morris, JK; Modell, B; Congenital Disorders Expert Group
(2018)
Chromosomal disorders: estimating baseline birth prevalence and pregnancy outcomes worldwide.
J Community Genet, 9 (4).
pp. 377-386.
ISSN 1868-310X
https://doi.org/10.1007/s12687-017-0336-2
SGUL Authors: Morris, Joan Katherine
Abstract
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.
Item Type: |
Article
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Additional Information: |
© 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. |
Keywords: |
Birth prevalence, Chromosomal disorders, Disability, Mortality, Congenital Disorders Expert Group, 0604 Genetics |
SGUL Research Institute / Research Centre: |
Academic Structure > Population Health Research Institute (INPH) |
Journal or Publication Title: |
J Community Genet |
ISSN: |
1868-310X |
Language: |
eng |
Dates: |
Date | Event |
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October 2018 | Published | 26 September 2017 | Published Online | 18 September 2017 | Accepted |
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Publisher License: |
Creative Commons: Attribution 4.0 |
PubMed ID: |
28948513 |
![](http://static.pubmed.gov/portal/portal3rc.fcgi/2745237/img/27842) |
Go to PubMed abstract |
URI: |
https://openaccess.sgul.ac.uk/id/eprint/110346 |
Publisher's version: |
https://doi.org/10.1007/s12687-017-0336-2 |
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