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

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%), s...

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Published inJournal of medical genetics Vol. 58; no. 6; pp. 400 - 413
Main 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, Françoise, Mandel, Jean-Louis, Lehalle, Daphne, Nambot, Sophie, Jean-Marçais, 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
Format Journal Article
LanguageEnglish
Published England BMJ Publishing Group LTD 01.06.2021
BMJ Publishing Group
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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.
AbstractList Molecular 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. We 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. sES 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%). This 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.
Purpose Molecular 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. Methods We 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. Results sES 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%). Conclusions This 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.
PURPOSE: Molecular 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. METHODS: We 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. RESULTS: sES 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%). CONCLUSIONS: This 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.
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.
Author Aubert-Lenoir, Marion
Philippe, Christophe
Foliguet, Bernard
Patrier-Sallebert, Sophie
El Chehadeh, Salima
Lebre, Anne-Sophie
Marle, Nathalie
Fradin, Melanie
Nambot, Sophie
Moutton, Sébastien
Kuentz, Paul
Lehalle, Daphne
Willems, Marjolaine
Jonveaux, Philippe
Houcinat, Nada
Vitobello, Antonio
Touraine, Renaud
Mandel, Jean-Louis
Capri, Yline
Duffourd, Yannis
Thevenon, Julien
Poirisier, Celine
Tran Mau-them, Frederic
Collardeau-Frachon, Sophie
Loget, Philippe
Beaufrere, Anne-Marie
Lespinasse, James
Girard-Lemaitre, Françoise
Jean-Marçais, Nolwenn
Kremer, Valérie
Mazutti, Jean-Pierre
assoum, Mirna
Antal, Maria Cristina
Alanio, Elisabeth
Quélin, Chloé
Goldenberg, Alice
Lambert, Laetita
Bourgon, Nicolas
Saint-Frison, Marie-Hélène
Gaillard, Dominique
Thauvin-Robinet, Christel
Brehin, Anne-Claire
Guerrot, Anne-Marie
Bruel, Ange-Line
Attie-Bitach, Tania
Perez, Marie-José
Schaefer, Elise
Laurent, Nicole
Odent, Sylvie
Arbez-Gindre, Francine
Francannet, Christine
Tisserant, Emilie
Faivre, Laurence
Blesson, Sophie
Lefebvre, Mathilde
Bigi, Nicole
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  email: antonio.vitobello@u-bourgogne.fr, christel.thauvin@chu-dijon.fr
  organization: Laboratoire d’Anatomo-Pathologie, Plateforme de Biologie Hospitalo-Universitaire, CHU de Dijon Bourgogne, Dijon, France
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  surname: Philippe
  fullname: Philippe, Christophe
  email: antonio.vitobello@u-bourgogne.fr, christel.thauvin@chu-dijon.fr
  organization: Unité Fonctionnelle d’Innovation diagnostique des maladies rares, FHU-TRANSLAD, CHU Dijon Bourgogne, Dijon, France
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  givenname: Frederic
  surname: Tran Mau-them
  fullname: Tran Mau-them, Frederic
  email: antonio.vitobello@u-bourgogne.fr, christel.thauvin@chu-dijon.fr
  organization: Unité Fonctionnelle d’Innovation diagnostique des maladies rares, FHU-TRANSLAD, CHU Dijon Bourgogne, Dijon, France
– sequence: 53
  givenname: Julien
  surname: Thevenon
  fullname: Thevenon, Julien
  email: antonio.vitobello@u-bourgogne.fr, christel.thauvin@chu-dijon.fr
  organization: Département de Génétique et Procréation, CHU Grenoble Alpes, Université Grenoble Alpes, Grenoble, France
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  givenname: Laurence
  orcidid: 0000-0001-9770-444X
  surname: Faivre
  fullname: Faivre, Laurence
  email: antonio.vitobello@u-bourgogne.fr, christel.thauvin@chu-dijon.fr
  organization: Centre de Référence Maladies Rares « Anomalies du Développement et Syndrome Malformatifs » de L'Est, Hôpital D'Enfants, FHU-TRANSLAD, CHU Dijon Bourgogne, Dijon, France
– sequence: 55
  givenname: Christel
  surname: Thauvin-Robinet
  fullname: Thauvin-Robinet, Christel
  email: antonio.vitobello@u-bourgogne.fr, christel.thauvin@chu-dijon.fr
  organization: Centre de Référence Déficiences Intellectuelles de Causes Rares, Hôpital D'Enfants, CHU Dijon Bourgogne, Dijon, France
– sequence: 56
  givenname: Antonio
  orcidid: 0000-0003-3717-8374
  surname: Vitobello
  fullname: Vitobello, Antonio
  email: antonio.vitobello@u-bourgogne.fr, christel.thauvin@chu-dijon.fr
  organization: Unité Fonctionnelle d’Innovation diagnostique des maladies rares, FHU-TRANSLAD, CHU Dijon Bourgogne, Dijon, France
BackLink https://www.ncbi.nlm.nih.gov/pubmed/32732226$$D View this record in MEDLINE/PubMed
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Keywords molecular genetics
complex traits
reproductive medicine
genetics
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SSID ssj0013716
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Snippet PurposeMolecular diagnosis based on singleton exome sequencing (sES) is particularly challenging in fetuses with multiple congenital abnormalities (MCA)....
Molecular diagnosis based on singleton exome sequencing (sES) is particularly challenging in fetuses with multiple congenital abnormalities (MCA). Indeed, some...
Purpose Molecular diagnosis based on singleton exome sequencing (sES) is particularly challenging in fetuses with multiple congenital abnormalities (MCA)....
PURPOSEMolecular diagnosis based on singleton exome sequencing (sES) is particularly challenging in fetuses with multiple congenital abnormalities (MCA)....
PURPOSE: Molecular diagnosis based on singleton exome sequencing (sES) is particularly challenging in fetuses with multiple congenital abnormalities (MCA)....
SourceID hal
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pubmed
bmj
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Index Database
Publisher
StartPage 400
SubjectTerms Abnormalities, Multiple - genetics
Bioinformatics
Cohort Studies
Congenital Abnormalities - genetics
Congenital diseases
Disease
Etiology
Exome - genetics
Fetus - abnormalities
Fetuses
Genes
Genetic analysis
Genetic Association Studies
Genetic diversity
Genomics
Genotype
Genotype & phenotype
Genotypes
Humans
Information sharing
Life Sciences
Mutation
Nervous system
Phenotypes
Phenotyping
Sequence Analysis, DNA
Title Genotype-first in a cohort of 95 fetuses with multiple congenital abnormalities: when exome sequencing reveals unexpected fetal phenotype-genotype correlations
URI http://dx.doi.org/10.1136/jmedgenet-2020-106867
https://www.ncbi.nlm.nih.gov/pubmed/32732226
https://www.proquest.com/docview/2530303380
https://search.proquest.com/docview/2429776624
https://inserm.hal.science/inserm-03231676
Volume 58
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