Surveillance of multiple congenital anomalies; searching for new associations
Autor(a) principal: | |
---|---|
Data de Publicação: | 2023 |
Outros Autores: | , , , , , , , , , , , , , , , , , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.18/9101 |
Resumo: | 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. |
id |
RCAP_6538e17259f48f8b0debb462a79057f6 |
---|---|
oai_identifier_str |
oai:repositorio.insa.pt:10400.18/9101 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
spelling |
Surveillance of multiple congenital anomalies; searching for new associationsCongenital AnomaliesEUROCATEUROCAT DatabaseEpidemiology RegistriesCongenital Anomaly RegistrySurveillance RegistriesEpidemiology Surveillance DataEuropeEstados de Saúde e de DoençaMany 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.Springer NatureRepositório Científico do Instituto Nacional de SaúdeMorris, Joan K.Bergman, Jorieke E.H.Barisic, IngeborgWellesley, DianaTucker, DavidLimb, ElizabethAddor, Marie-ClaudeCavero-Carbonell, ClaraMatias Dias, CarlosDraper, Elisabeth S.Echevarría-González-de-Garibay, Luis JavierGatt, MiriamKlungsøyr, KariLelong, NathalieLuyt, KarenMaterna-Kiryluk, AnnaNelen, VeraNeville, AmandaPerthus, IsabellePierini, AnnaRandrianaivo-Ranjatoelina, HanitraRankin, JudithRissmann, AnkeRouget, FlorenceSayers, GeraldineWertelecki, WladimirKinsner-Ovaskainen, AgnieszkaGarne, Ester2024-02-14T10:38:16Z2023-12-052023-12-05T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.18/9101engEur J Hum Genet. 2023 Dec 5. doi: 10.1038/s41431-023-01502-w. Online ahead of print.1018-481310.1038/s41431-023-01502-winfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-02-17T01:31:11Zoai:repositorio.insa.pt:10400.18/9101Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T02:38:33.535477Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Surveillance of multiple congenital anomalies; searching for new associations |
title |
Surveillance of multiple congenital anomalies; searching for new associations |
spellingShingle |
Surveillance of multiple congenital anomalies; searching for new associations Morris, Joan K. Congenital Anomalies EUROCAT EUROCAT Database Epidemiology Registries Congenital Anomaly Registry Surveillance Registries Epidemiology Surveillance Data Europe Estados de Saúde e de Doença |
title_short |
Surveillance of multiple congenital anomalies; searching for new associations |
title_full |
Surveillance of multiple congenital anomalies; searching for new associations |
title_fullStr |
Surveillance of multiple congenital anomalies; searching for new associations |
title_full_unstemmed |
Surveillance of multiple congenital anomalies; searching for new associations |
title_sort |
Surveillance of multiple congenital anomalies; searching for new associations |
author |
Morris, Joan K. |
author_facet |
Morris, Joan K. Bergman, Jorieke E.H. Barisic, Ingeborg Wellesley, Diana Tucker, David Limb, Elizabeth Addor, Marie-Claude Cavero-Carbonell, Clara Matias Dias, Carlos Draper, Elisabeth S. Echevarría-González-de-Garibay, Luis Javier Gatt, Miriam Klungsøyr, Kari Lelong, Nathalie Luyt, Karen Materna-Kiryluk, Anna Nelen, Vera Neville, Amanda Perthus, Isabelle Pierini, Anna Randrianaivo-Ranjatoelina, Hanitra Rankin, Judith Rissmann, Anke Rouget, Florence Sayers, Geraldine Wertelecki, Wladimir Kinsner-Ovaskainen, Agnieszka Garne, Ester |
author_role |
author |
author2 |
Bergman, Jorieke E.H. Barisic, Ingeborg Wellesley, Diana Tucker, David Limb, Elizabeth Addor, Marie-Claude Cavero-Carbonell, Clara Matias Dias, Carlos Draper, Elisabeth S. Echevarría-González-de-Garibay, Luis Javier Gatt, Miriam Klungsøyr, Kari Lelong, Nathalie Luyt, Karen Materna-Kiryluk, Anna Nelen, Vera Neville, Amanda Perthus, Isabelle Pierini, Anna Randrianaivo-Ranjatoelina, Hanitra Rankin, Judith Rissmann, Anke Rouget, Florence Sayers, Geraldine Wertelecki, Wladimir Kinsner-Ovaskainen, Agnieszka Garne, Ester |
author2_role |
author author author author author author author author author author author author author author author author author author author author author author author author author author author |
dc.contributor.none.fl_str_mv |
Repositório Científico do Instituto Nacional de Saúde |
dc.contributor.author.fl_str_mv |
Morris, Joan K. Bergman, Jorieke E.H. Barisic, Ingeborg Wellesley, Diana Tucker, David Limb, Elizabeth Addor, Marie-Claude Cavero-Carbonell, Clara Matias Dias, Carlos Draper, Elisabeth S. Echevarría-González-de-Garibay, Luis Javier Gatt, Miriam Klungsøyr, Kari Lelong, Nathalie Luyt, Karen Materna-Kiryluk, Anna Nelen, Vera Neville, Amanda Perthus, Isabelle Pierini, Anna Randrianaivo-Ranjatoelina, Hanitra Rankin, Judith Rissmann, Anke Rouget, Florence Sayers, Geraldine Wertelecki, Wladimir Kinsner-Ovaskainen, Agnieszka Garne, Ester |
dc.subject.por.fl_str_mv |
Congenital Anomalies EUROCAT EUROCAT Database Epidemiology Registries Congenital Anomaly Registry Surveillance Registries Epidemiology Surveillance Data Europe Estados de Saúde e de Doença |
topic |
Congenital Anomalies EUROCAT EUROCAT Database Epidemiology Registries Congenital Anomaly Registry Surveillance Registries Epidemiology Surveillance Data Europe Estados de Saúde e de Doença |
description |
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. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-12-05 2023-12-05T00:00:00Z 2024-02-14T10:38:16Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.18/9101 |
url |
http://hdl.handle.net/10400.18/9101 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Eur J Hum Genet. 2023 Dec 5. doi: 10.1038/s41431-023-01502-w. Online ahead of print. 1018-4813 10.1038/s41431-023-01502-w |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Springer Nature |
publisher.none.fl_str_mv |
Springer Nature |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
|
_version_ |
1799137436059566080 |