6533b852fe1ef96bd12ab704
RESEARCH PRODUCT
Genotype-first in a cohort of 95 fetuses with multiple congenital abnormalities: when exome sequencing reveals unexpected fetal phenotype-genotype correlations
Tania Attié-bitachPhilippe JonveauxAlice GoldenbergAntonio VitobelloNicole LaurentMarjolaine WillemsValérie KremerDominique GaillardChloé QuélinSebastien MouttonMarion Aubert-lenoirYannis DuffourdAnne-sophie LebreAnne-claire BrehinJames LespinasseYline CapriNolwenn Jean-marçaisMaria Cristina AntalFrédéric Tran Mau-themNathalie MarleDaphné LehalleNicolas BourgonSophie BlessonBernard FoliguetLaetita LambertNicole BigiMélanie FradinEmilie TisserantChristel Thauvin-robinetAnge-line BruelElisabeth AlanioMarie-hélène Saint-frisonChristine FrancannetAnne-marie GuerrotPaul KuentzElise SchaeferAnne-marie BeaufrereSylvie OdentFrancine Arbez-gindreLaurence FaivreChristophe PhilippeJulien ThevenonJulien ThevenonSophie Patrier-sallebertNada HoucinatCeline PoirisierSophie NambotMathilde LefebvreMirna AssoumFrançoise Girard-lemaitreSophie Collardeau-frachonMarie-josé PerezJean-louis MandelJean-pierre MazuttiRenaud TourainePhilippe LogetSalima El Chehadehsubject
Candidate genemedicine.medical_specialtyGenotype[SDV]Life Sciences [q-bio]BiologyCongenital AbnormalitiesCohort Studiescomplex traits03 medical and health sciencesFetusMolecular geneticsGenotypemedicineHumansAbnormalities MultipleExomeClinical significancegeneticsGeneGenetic Association StudiesGenetics (clinical)Exome sequencing030304 developmental biologyGenetics0303 health sciencesFetus030305 genetics & hereditySequence Analysis DNAPhenotype[SDV] Life Sciences [q-bio]molecular geneticsreproductive medicinedescription
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.
year | journal | country | edition | language |
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2020-07-01 |