Morris, JK;
Bergman, JEH;
Barisic, I;
Wellesley, D;
Tucker, D;
Limb, E;
Addor, M-C;
Cavero-Carbonell, C;
Matias Dias, C;
Draper, ES;
et al.
Morris, JK; Bergman, JEH; Barisic, I; Wellesley, D; Tucker, D; Limb, E; Addor, M-C; Cavero-Carbonell, C; Matias Dias, C; Draper, ES; Echevarría-González-de-Garibay, LJ; Gatt, M; Klungsøyr, K; Lelong, N; Luyt, K; Materna-Kiryluk, A; Nelen, V; Neville, A; Perthus, I; Pierini, A; Randrianaivo-Ranjatoelina, H; Rankin, J; Rissmann, A; Rouget, F; Sayers, G; Wertelecki, W; Kinsner-Ovaskainen, A; Garne, E
(2024)
Surveillance of multiple congenital anomalies; searching for new associations.
Eur J Hum Genet, 32 (4).
pp. 407-412.
ISSN 1476-5438
https://doi.org/10.1038/s41431-023-01502-w
SGUL Authors: Morris, Joan Katherine
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Abstract
Many human teratogens are associated with a spectrum of congenital anomalies rather than a single defect, and therefore the identification of congenital anomalies occurring together more frequently than expected may improve the detection of teratogens. Thirty-two EUROCAT congenital anomaly registries covering 6,599,765 births provided 123,566 cases with one or more major congenital anomalies (excluding chromosomal and genetic syndromes) for the birth years 2008-2016. The EUROCAT multiple congenital anomaly algorithm identified 8804 cases with two or more major congenital anomalies in different organ systems, that were not recognized as part of a syndrome or sequence. For each pair of anomalies, the odds of a case having both anomalies relative to having only one anomaly was calculated and the p value was estimated using a two-sided Fisher's exact test. The Benjamini-Hochberg procedure adjusted p values to control the false discovery rate and pairs of anomalies with adjusted p values < 0.05 were identified. A total of 1386 combinations of two anomalies were analyzed. Out of the 31 statistically significant positive associations identified, 20 were found to be known associations or sequences already described in the literature and 11 were considered "potential new associations" by the EUROCAT Coding and Classification Committee. After a review of the literature and a detailed examination of the individual cases with the anomaly pairs, six pairs remained classified as new associations. In summary, systematically searching for congenital anomalies occurring together more frequently than expected using the EUROCAT database is worthwhile and has identified six new associations that merit further investigation.
Item Type: | Article | ||||||||
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Additional Information: | Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. © The Author(s) 2023 | ||||||||
Keywords: | 0604 Genetics, 1103 Clinical Sciences, Genetics & Heredity | ||||||||
SGUL Research Institute / Research Centre: | Academic Structure > Population Health Research Institute (INPH) | ||||||||
Journal or Publication Title: | Eur J Hum Genet | ||||||||
ISSN: | 1476-5438 | ||||||||
Language: | eng | ||||||||
Dates: |
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Publisher License: | Creative Commons: Attribution 4.0 | ||||||||
PubMed ID: | 38052905 | ||||||||
Go to PubMed abstract | |||||||||
URI: | https://openaccess.sgul.ac.uk/id/eprint/115921 | ||||||||
Publisher's version: | https://doi.org/10.1038/s41431-023-01502-w |
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