Literature DB >> 35577939

Same performance of exome sequencing before and after fetal autopsy for congenital abnormalities: toward a paradigm shift in prenatal diagnosis?

Nicolas Bourgon1,2,3, Aurore Garde1,2,4, Ange-Line Bruel1,2, Mathilde Lefebvre1,2, Frederic Tran Mau-Them1,2,5, Sebastien Moutton1,2, Arthur Sorlin1,2, Sophie Nambot1,2,4, Julian Delanne1,2,4, Martin Chevarin1,2, Charlotte Pöe1,2, Julien Thevenon1,2, Daphné Lehalle1,2, Nolween Jean-Marçais1,2, Paul Kuentz1,2,6, Laetitia Lambert7, Salima El Chehadeh8, Elise Schaefer8, Marjolaine Willems9, Fanny Laffargue10, Christine Francannet10, Mélanie Fradin11, Dominique Gaillard12, Sophie Blesson13, Alice Goldenberg14, Yline Capri15, Paul Sagot3, Thierry Rousseau3, Emmanuel Simon3, Christine Binquet16, Marie-Laure Ascencio16, Yannis Duffourd1,2, Christophe Philippe1,2,5, Laurence Faivre1,2,4, Antonio Vitobello1,2,5, Christel Thauvin-Robinet17,18,19,20.   

Abstract

Prenatal exome sequencing could be complex because of limited phenotypical data compared to postnatal/portmortem phenotype in fetuses affected by multiple congenital abnormalities (MCA). Here, we investigated limits of prenatal phenotype for ES interpretation thanks to a blindly reanalysis of postmortem ES data using prenatal data only in fetuses affected by MCA and harboring a (likely)pathogenic variant or a variant of unknown significance (VUS). Prenatal ES identified all causative variant previously reported by postmortem ES (22/24 (92%) and 2/24 (8%) using solo-ES and trio-ES respectively). Prenatal ES identified 5 VUS (in four fetuses). Two of them have been previously reported by postmortem ES. Prenatal ES were negative for four fetuses for which a VUS were diagnosed after autopsy. Our study suggests that prenatal phenotype is not a limitation for implementing pES in the prenatal assessment of unsolved MCA to personalize fetal medicine and could influence indication of postmortem examination.
© 2022. The Author(s), under exclusive licence to European Society of Human Genetics.

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Year:  2022        PMID: 35577939      PMCID: PMC9349205          DOI: 10.1038/s41431-022-01117-7

Source DB:  PubMed          Journal:  Eur J Hum Genet        ISSN: 1018-4813            Impact factor:   5.351


  18 in total

Review 1.  From prenatal genomic diagnosis to fetal personalized medicine: progress and challenges.

Authors:  Diana W Bianchi
Journal:  Nat Med       Date:  2012-07-06       Impact factor: 53.440

2.  Whole-exome sequencing in the evaluation of fetal structural anomalies: a prospective cohort study.

Authors:  Slavé Petrovski; Vimla Aggarwal; Jessica L Giordano; Melissa Stosic; Karen Wou; Louise Bier; Erica Spiegel; Kelly Brennan; Nicholas Stong; Vaidehi Jobanputra; Zhong Ren; Xiaolin Zhu; Caroline Mebane; Odelia Nahum; Quanli Wang; Sitharthan Kamalakaran; Colin Malone; Kwame Anyane-Yeboa; Russell Miller; Brynn Levy; David B Goldstein; Ronald J Wapner
Journal:  Lancet       Date:  2019-01-31       Impact factor: 79.321

3.  Ethical and counseling challenges in prenatal exome sequencing.

Authors:  Sarah Harris; Kelly Gilmore; Emily Hardisty; Anne Drapkin Lyerly; Neeta L Vora
Journal:  Prenat Diagn       Date:  2018-09-11       Impact factor: 3.050

4.  Exome sequencing has higher diagnostic yield compared to simulated disease-specific panels in children with suspected monogenic disorders.

Authors:  Oliver James Dillon; Sebastian Lunke; Zornitza Stark; Alison Yeung; Natalie Thorne; Clara Gaff; Susan M White; Tiong Yang Tan
Journal:  Eur J Hum Genet       Date:  2018-02-16       Impact factor: 4.246

5.  Standards and guidelines for the interpretation of sequence variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology.

Authors:  Sue Richards; Nazneen Aziz; Sherri Bale; David Bick; Soma Das; Julie Gastier-Foster; Wayne W Grody; Madhuri Hegde; Elaine Lyon; Elaine Spector; Karl Voelkerding; Heidi L Rehm
Journal:  Genet Med       Date:  2015-03-05       Impact factor: 8.822

6.  Prenatal exome sequencing analysis in fetal structural anomalies detected by ultrasonography (PAGE): a cohort study.

Authors:  Jenny Lord; Dominic J McMullan; Ruth Y Eberhardt; Gabriele Rinck; Susan J Hamilton; Elizabeth Quinlan-Jones; Elena Prigmore; Rebecca Keelagher; Sunayna K Best; Georgina K Carey; Rhiannon Mellis; Sarah Robart; Ian R Berry; Kate E Chandler; Deirdre Cilliers; Lara Cresswell; Sandra L Edwards; Carol Gardiner; Alex Henderson; Simon T Holden; Tessa Homfray; Tracy Lester; Rebecca A Lewis; Ruth Newbury-Ecob; Katrina Prescott; Oliver W Quarrell; Simon C Ramsden; Eileen Roberts; Dagmar Tapon; Madeleine J Tooley; Pradeep C Vasudevan; Astrid P Weber; Diana G Wellesley; Paul Westwood; Helen White; Michael Parker; Denise Williams; Lucy Jenkins; Richard H Scott; Mark D Kilby; Lyn S Chitty; Matthew E Hurles; Eamonn R Maher
Journal:  Lancet       Date:  2019-01-31       Impact factor: 202.731

7.  Multilevel analyses of related public health indicators: The European Surveillance of Congenital Anomalies (EUROCAT) Public Health Indicators.

Authors:  Kate E Best; Judith Rankin; Helen Dolk; Maria Loane; Martin Haeusler; Vera Nelen; Christine Verellen-Dumoulin; Ester Garne; Gerardine Sayers; Carmel Mullaney; Mary T O'Mahony; Miriam Gatt; Hermien De Walle; Kari Klungsoyr; Olatz Mokoroa Carolla; Clara Cavero-Carbonell; Jennifer J Kurinczuk; Elizabeth S Draper; David Tucker; Diana Wellesley; Nataliia Zymak-Zakutnia; Nathalie Lelong; Babak Khoshnood
Journal:  Paediatr Perinat Epidemiol       Date:  2020-03       Impact factor: 3.980

8.  Global, regional, and national causes of child mortality in 2000-13, with projections to inform post-2015 priorities: an updated systematic analysis.

Authors:  Li Liu; Shefali Oza; Daniel Hogan; Jamie Perin; Igor Rudan; Joy E Lawn; Simon Cousens; Colin Mathers; Robert E Black
Journal:  Lancet       Date:  2014-09-30       Impact factor: 79.321

9.  Genotype-first in a cohort of 95 fetuses with multiple congenital abnormalities: when exome sequencing reveals unexpected fetal phenotype-genotype correlations.

Authors:  Mathilde Lefebvre; Ange-Line Bruel; Emilie Tisserant; Nicolas Bourgon; Yannis Duffourd; Sophie Collardeau-Frachon; Tania Attie-Bitach; Paul Kuentz; Mirna Assoum; Elise Schaefer; Salima El Chehadeh; Maria Cristina Antal; Valérie Kremer; Françoise Girard-Lemaitre; Jean-Louis Mandel; Daphne Lehalle; Sophie Nambot; Nolwenn Jean-Marçais; Nada Houcinat; Sébastien Moutton; Nathalie Marle; Laetita Lambert; Philippe Jonveaux; Bernard Foliguet; Jean-Pierre Mazutti; Dominique Gaillard; Elisabeth Alanio; Celine Poirisier; Anne-Sophie Lebre; Marion Aubert-Lenoir; Francine Arbez-Gindre; Sylvie Odent; Chloé Quélin; Philippe Loget; Melanie Fradin; Marjolaine Willems; Nicole Bigi; Marie-José Perez; Sophie Blesson; Christine Francannet; Anne-Marie Beaufrere; Sophie Patrier-Sallebert; Anne-Marie Guerrot; Alice Goldenberg; Anne-Claire Brehin; James Lespinasse; Renaud Touraine; Yline Capri; Marie-Hélène Saint-Frison; Nicole Laurent; Christophe Philippe; Frederic Tran Mau-Them; Julien Thevenon; Laurence Faivre; Christel Thauvin-Robinet; Antonio Vitobello
Journal:  J Med Genet       Date:  2020-07-30       Impact factor: 6.318

10.  Limitations of exome sequencing in detecting rare and undiagnosed diseases.

Authors:  Kendall J Burdick; Joy D Cogan; Lynette C Rives; Amy K Robertson; Mary E Koziura; Elly Brokamp; Laura Duncan; Vickie Hannig; Jean Pfotenhauer; Rena Vanzo; Michael S Paul; Anna Bican; Thomas Morgan; Jessica Duis; John H Newman; Rizwan Hamid; John A Phillips
Journal:  Am J Med Genet A       Date:  2020-03-19       Impact factor: 2.578

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  1 in total

1.  Exome sequencing-one test to rule them all?

Authors:  Alisdair McNeill
Journal:  Eur J Hum Genet       Date:  2022-08       Impact factor: 5.351

  1 in total

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