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author Dhombres, Ferdinand
Morgan, Patricia
Chaudhari, Bimal P.
Filges, Isabel
Sparks, Teresa N.
Lapunzina, Pablo
Roscioli, Tony
Agarwal, Umber
Aggarwal, Shagun
Beneteau, Claire
Cacheiro, Pilar
Carmody, Leigh C.
Collardeau‐Frachon, Sophie
Dempsey, Esther A.
Dufke, Andreas
Duyzend, Michael Henri
el Ghosh, Mirna
Giordano, Jessica L.
Glad, Ragnhild
Grinfelde, Ieva
Iliescu, Dominic G.
Ladewig, Markus S.
Munoz‐Torres, Monica C.
Pollazzon, Marzia
Radio, Francesca Clementina
Rodo, Carlota
Silva, Raquel Gouveia
Smedley, Damian
Sundaramurthi, Jagadish Chandrabose
Toro, Sabrina
Valenzuela, Irene
Vasilevsky, Nicole A.
Wapner, Ronald J.
Zemet, Roni
Haendel, Melissa A
Robinson, Peter N.
author_facet Dhombres, Ferdinand
Morgan, Patricia
Chaudhari, Bimal P.
Filges, Isabel
Sparks, Teresa N.
Lapunzina, Pablo
Roscioli, Tony
Agarwal, Umber
Aggarwal, Shagun
Beneteau, Claire
Cacheiro, Pilar
Carmody, Leigh C.
Collardeau‐Frachon, Sophie
Dempsey, Esther A.
Dufke, Andreas
Duyzend, Michael Henri
el Ghosh, Mirna
Giordano, Jessica L.
Glad, Ragnhild
Grinfelde, Ieva
Iliescu, Dominic G.
Ladewig, Markus S.
Munoz‐Torres, Monica C.
Pollazzon, Marzia
Radio, Francesca Clementina
Rodo, Carlota
Silva, Raquel Gouveia
Smedley, Damian
Sundaramurthi, Jagadish Chandrabose
Toro, Sabrina
Valenzuela, Irene
Vasilevsky, Nicole A.
Wapner, Ronald J.
Zemet, Roni
Haendel, Melissa A
Robinson, Peter N.
author_sort Dhombres, Ferdinand
collection PubMed
description Technological advances in both genome sequencing and prenatal imaging are increasing our ability to accurately recognize and diagnose Mendelian conditions prenatally. Phenotype‐driven early genetic diagnosis of fetal genetic disease can help to strategize treatment options and clinical preventive measures during the perinatal period, to plan in utero therapies, and to inform parental decision‐making. Fetal phenotypes of genetic diseases are often unique and at present are not well understood; more comprehensive knowledge about prenatal phenotypes and computational resources have an enormous potential to improve diagnostics and translational research. The Human Phenotype Ontology (HPO) has been widely used to support diagnostics and translational research in human genetics. To better support prenatal usage, the HPO consortium conducted a series of workshops with a group of domain experts in a variety of medical specialties, diagnostic techniques, as well as diseases and phenotypes related to prenatal medicine, including perinatal pathology, musculoskeletal anomalies, neurology, medical genetics, hydrops fetalis, craniofacial malformations, cardiology, neonatal‐perinatal medicine, fetal medicine, placental pathology, prenatal imaging, and bioinformatics. We expanded the representation of prenatal phenotypes in HPO by adding 95 new phenotype terms under the Abnormality of prenatal development or birth (HP:0001197) grouping term, and revised definitions, synonyms, and disease annotations for most of the 152 terms that existed before the beginning of this effort. The expansion of prenatal phenotypes in HPO will support phenotype‐driven prenatal exome and genome sequencing for precision genetic diagnostics of rare diseases to support prenatal care.
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spelling pubmed-95885342023-01-04 Prenatal phenotyping: A community effort to enhance the Human Phenotype Ontology Dhombres, Ferdinand Morgan, Patricia Chaudhari, Bimal P. Filges, Isabel Sparks, Teresa N. Lapunzina, Pablo Roscioli, Tony Agarwal, Umber Aggarwal, Shagun Beneteau, Claire Cacheiro, Pilar Carmody, Leigh C. Collardeau‐Frachon, Sophie Dempsey, Esther A. Dufke, Andreas Duyzend, Michael Henri el Ghosh, Mirna Giordano, Jessica L. Glad, Ragnhild Grinfelde, Ieva Iliescu, Dominic G. Ladewig, Markus S. Munoz‐Torres, Monica C. Pollazzon, Marzia Radio, Francesca Clementina Rodo, Carlota Silva, Raquel Gouveia Smedley, Damian Sundaramurthi, Jagadish Chandrabose Toro, Sabrina Valenzuela, Irene Vasilevsky, Nicole A. Wapner, Ronald J. Zemet, Roni Haendel, Melissa A Robinson, Peter N. Am J Med Genet C Semin Med Genet Research Articles Technological advances in both genome sequencing and prenatal imaging are increasing our ability to accurately recognize and diagnose Mendelian conditions prenatally. Phenotype‐driven early genetic diagnosis of fetal genetic disease can help to strategize treatment options and clinical preventive measures during the perinatal period, to plan in utero therapies, and to inform parental decision‐making. Fetal phenotypes of genetic diseases are often unique and at present are not well understood; more comprehensive knowledge about prenatal phenotypes and computational resources have an enormous potential to improve diagnostics and translational research. The Human Phenotype Ontology (HPO) has been widely used to support diagnostics and translational research in human genetics. To better support prenatal usage, the HPO consortium conducted a series of workshops with a group of domain experts in a variety of medical specialties, diagnostic techniques, as well as diseases and phenotypes related to prenatal medicine, including perinatal pathology, musculoskeletal anomalies, neurology, medical genetics, hydrops fetalis, craniofacial malformations, cardiology, neonatal‐perinatal medicine, fetal medicine, placental pathology, prenatal imaging, and bioinformatics. We expanded the representation of prenatal phenotypes in HPO by adding 95 new phenotype terms under the Abnormality of prenatal development or birth (HP:0001197) grouping term, and revised definitions, synonyms, and disease annotations for most of the 152 terms that existed before the beginning of this effort. The expansion of prenatal phenotypes in HPO will support phenotype‐driven prenatal exome and genome sequencing for precision genetic diagnostics of rare diseases to support prenatal care. John Wiley & Sons, Inc. 2022-07-24 2022-06 /pmc/articles/PMC9588534/ /pubmed/35872606 http://dx.doi.org/10.1002/ajmg.c.31989 Text en © 2022 The Authors. American Journal of Medical Genetics Part C: Seminars in Medical Genetics published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Dhombres, Ferdinand
Morgan, Patricia
Chaudhari, Bimal P.
Filges, Isabel
Sparks, Teresa N.
Lapunzina, Pablo
Roscioli, Tony
Agarwal, Umber
Aggarwal, Shagun
Beneteau, Claire
Cacheiro, Pilar
Carmody, Leigh C.
Collardeau‐Frachon, Sophie
Dempsey, Esther A.
Dufke, Andreas
Duyzend, Michael Henri
el Ghosh, Mirna
Giordano, Jessica L.
Glad, Ragnhild
Grinfelde, Ieva
Iliescu, Dominic G.
Ladewig, Markus S.
Munoz‐Torres, Monica C.
Pollazzon, Marzia
Radio, Francesca Clementina
Rodo, Carlota
Silva, Raquel Gouveia
Smedley, Damian
Sundaramurthi, Jagadish Chandrabose
Toro, Sabrina
Valenzuela, Irene
Vasilevsky, Nicole A.
Wapner, Ronald J.
Zemet, Roni
Haendel, Melissa A
Robinson, Peter N.
Prenatal phenotyping: A community effort to enhance the Human Phenotype Ontology
title Prenatal phenotyping: A community effort to enhance the Human Phenotype Ontology
title_full Prenatal phenotyping: A community effort to enhance the Human Phenotype Ontology
title_fullStr Prenatal phenotyping: A community effort to enhance the Human Phenotype Ontology
title_full_unstemmed Prenatal phenotyping: A community effort to enhance the Human Phenotype Ontology
title_short Prenatal phenotyping: A community effort to enhance the Human Phenotype Ontology
title_sort prenatal phenotyping: a community effort to enhance the human phenotype ontology
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9588534/
https://www.ncbi.nlm.nih.gov/pubmed/35872606
http://dx.doi.org/10.1002/ajmg.c.31989
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