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

Authors :
Lefebvre, Mathilde
Bruel, Ange-Line
Tisserant, Emilie
Bourgon, Nicolas
Duffourd, Yannis
Collardeau-Frachon, Sophie
Attie-Bitach, Tania
Kuentz, Paul
assoum, Mirna
Schaefer, Elise
El Chehadeh, Salima
Antal, Maria Cristina
Kremer, Valérie
Girard-Lemaitre, Francoise
Mandel, Jean-Louis
Lehalle, Daphne
Nambot, Sophie
Jean-Marcais, Nolwenn
Houcinat, Nada
Moutton, Sébastien
Marle, Nathalie
Lambert, Laetita
Jonveaux, Philippe
Foliguet, Bernard
Mazutti, Jean-Pierre
Gaillard, Dominique
Alanio, Elisabeth
Poirisier, Celine
Lebre, Anne-Sophie
Aubert-Lenoir, Marion
Arbez-Gindre, Francine
Odent, Sylvie
Quélin, Chloé
Loget, Philippe
Fradin, Melanie
Willems, Marjolaine
Bigi, Nicole
Perez, Marie-José
Blesson, Sophie
Francannet, Christine
Beaufrere, Anne-Marie
Patrier-Sallebert, Sophie
Guerrot, Anne-Marie
Goldenberg, Alice
Brehin, Anne-Claire
Lespinasse, James
Touraine, Renaud
Capri, Yline
Saint-Frison, Marie-Hélène
Laurent, Nicole
Philippe, Christophe
Tran Mau-them, Frederic
Thevenon, Julien
Faivre, Laurence
Thauvin-Robinet, Christel
Vitobello, Antonio
Source :
Journal of Medical Genetics (JMG); 2021, Vol. 58 Issue: 6 p400-413, 14p
Publication Year :
2021

Abstract

PurposeMolecular diagnosis based on singleton exome sequencing (sES) is particularly challenging in fetuses with multiple congenital abnormalities (MCA). Indeed, some studies reveal a diagnostic yield of about 20%, far lower than in live birth individuals showing developmental abnormalities (30%), suggesting that standard analyses, based on the correlation between clinical hallmarks described in postnatal syndromic presentations and genotype, may underestimate the impact of the genetic variants identified in fetal analyses.MethodsWe performed sES in 95 fetuses with MCA. Blind to phenotype, we applied a genotype-first approach consisting of combined analyses based on variants annotation and bioinformatics predictions followed by reverse phenotyping. Initially applied to OMIM-morbid genes, analyses were then extended to all genes. We complemented our approach by using reverse phenotyping, variant segregation analysis, bibliographic search and data sharing in order to establish the clinical significance of the prioritised variants.ResultssES rapidly identified causal variant in 24/95 fetuses (25%), variants of unknown significance in OMIM genes in 8/95 fetuses (8%) and six novel candidate genes in 6/95 fetuses (6%).ConclusionsThis method, based on a genotype-first approach followed by reverse phenotyping, shed light on unexpected fetal phenotype-genotype correlations, emphasising the relevance of prenatal studies to reveal extreme clinical presentations associated with well-known Mendelian disorders.

Details

Language :
English
ISSN :
00222593 and 14686244
Volume :
58
Issue :
6
Database :
Supplemental Index
Journal :
Journal of Medical Genetics (JMG)
Publication Type :
Periodical
Accession number :
ejs56395118
Full Text :
https://doi.org/10.1136/jmedgenet-2020-106867