Prenatal Diagnosis · 2019 · 33 citations · 39 references
MedicineGeneticsMolecular GeneticsMaternal-fetal MedicineMedical GeneticsPrenatal DiagnosisFetal AnomaliesFetal Anomaly DetectionPrenatal AssessmentPrenatal CarePrenatal Genetic DiagnosisVariant InterpretationExome SequencingFetal Exome SequencingGenetic Variant PrioritizationPathogenic Variant DetectionPhenotype-driven Variant PrioritizationPhenotypingPrenatal Exome SequencingVariant Prioritization
OBJECTIVE: To ascertain the performance of exome sequencing (ES) technology for determining the etiological basis of abnormal perinatal phenotypes and to study the impact of comprehensive phenotyping on variant prioritization. METHODS: A carefully selected cohort of 32/204 fetuses with abnormal perinatal phenotypes following postmortem/postnatal deep phenotyping underwent ES to identify a causative variant for the fetal phenotype. A retrospective comparative analysis of the prenatal versus postmortem/postnatal phenotype-based variant prioritization was performed with aid of Phenolyzer software. A review of selected literature reports was done to examine the completeness of phenotypic information for cases in those reports and how it impacted the performance of fetal ES. RESULTS: In 18/32 (56%) fetuses, a pathogenic/likely pathogenic variant was identified. This included novel genotype-phenotype associations, expanded prenatal phenotypes of known Mendelian disorders and dual Mendelian diagnoses. The retrospective analysis revealed that the putative diagnostic variant could not be identified on basis of prenatal findings alone in 15/22 (68%) cases, indicating the importance of comprehensive postmortem/postnatal phenotype information. Literature review was supportive of these findings but could not be conclusive due to marked heterogeneity of involved studies. CONCLUSION: Comprehensive phenotyping is essential for improving diagnostic performance and facilitating identification of novel genotype-phenotype associations in perinatal cohorts undergoing ES.
39
Sue Richards, Nazneen Aziz, Sherri J. Bale et al. · Genetics in Medicine · 2015 · 32.2K citations · Full text
A general framework for estimating the relative pathogenicity of human genetic variants
Martin Kircher, Daniela Witten, Preti Jain et al. · Nature Genetics · 2014 · 6.6K citations · Full text
ClinVar: public archive of relationships among sequence variation and human phenotype
Melissa Landrum, Jennifer M. Lee, Wonhee Jang et al. · Nucleic Acids Research · 2013 · 3.7K citations · Full text
Molecular Findings Among Patients Referred for Clinical Whole-Exome Sequencing
Yaping Yang, Donna M. Muzny, Fan Xia et al. · JAMA · 2014 · 1.4K citations