Background: Surveillance of congenital anomaly prevalence over time can identify new teratogens. Anomalies with a genetic cause are excluded from the monitoring. Objectives: We examined temporal changes in the proportion of genetic diagnoses among cases with a congenital anomaly. Methods: Data was used from twenty EUROCAT congenital anomaly registries over the birth years 2013 and 2022. All pregnancy outcomes were included. Multilevel binomial regression models were fitted to estimate the annual change in the proportion of genetic diagnoses of all anomalies by registry. Results were additionally reported, excluding cases with trisomy 13, 18, or 21. Results: Overall, 20% of the 100,099 cases in the study had a genetic diagnosis, and this proportion increased annually by 1.4% (95% CI, 0.8%–1.9%); an absolute increase of approximately 3% from 2013 to 2022. After excluding the trisomies, the overall proportion was 10% with an annual increase of 1.2% (95% CI 0.4%–2.0%). There was considerable variation in the proportion of genetic cases per registry. An increasing proportion of genetic diagnoses was found for five congenital anomaly groups, after excluding the trisomies. We hypothesise that the increase in genetic diagnoses is due to increased access to clinical genetic services, more extensive genetic testing, and the identification of new genes as causes of congenital anomalies. Conclusions: The modest increase in genetic diagnoses among cases with a congenital anomaly is not expected to have a large impact on the surveillance of the non-genetic anomalies in the EUROCAT network. EUROCAT will continue to monitor the proportion of genetic diagnoses every five years.

Genetic Diagnoses Among Congenital Anomaly Cases in Europe: Data From the EUROCAT Network

Ballardini, Elisa;
2025

Abstract

Background: Surveillance of congenital anomaly prevalence over time can identify new teratogens. Anomalies with a genetic cause are excluded from the monitoring. Objectives: We examined temporal changes in the proportion of genetic diagnoses among cases with a congenital anomaly. Methods: Data was used from twenty EUROCAT congenital anomaly registries over the birth years 2013 and 2022. All pregnancy outcomes were included. Multilevel binomial regression models were fitted to estimate the annual change in the proportion of genetic diagnoses of all anomalies by registry. Results were additionally reported, excluding cases with trisomy 13, 18, or 21. Results: Overall, 20% of the 100,099 cases in the study had a genetic diagnosis, and this proportion increased annually by 1.4% (95% CI, 0.8%–1.9%); an absolute increase of approximately 3% from 2013 to 2022. After excluding the trisomies, the overall proportion was 10% with an annual increase of 1.2% (95% CI 0.4%–2.0%). There was considerable variation in the proportion of genetic cases per registry. An increasing proportion of genetic diagnoses was found for five congenital anomaly groups, after excluding the trisomies. We hypothesise that the increase in genetic diagnoses is due to increased access to clinical genetic services, more extensive genetic testing, and the identification of new genes as causes of congenital anomalies. Conclusions: The modest increase in genetic diagnoses among cases with a congenital anomaly is not expected to have a large impact on the surveillance of the non-genetic anomalies in the EUROCAT network. EUROCAT will continue to monitor the proportion of genetic diagnoses every five years.
2025
Bergman, Jorieke E. H.; Perraud, Annie; Garne, Ester; Barisic, Ingeborg; Tucker, David; Ballardini, Elisa; Bruneau, Lea; Cavero‐carbonell, Clara; Cous...espandi
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11392/2612250
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