Lessons learnt from prenatal exome sequencing
Natalie J Chandler1, Elizabeth Scotchman1, Rhiannon Mellis1,2
1North Thames Genomic Laboratory Hub, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK.
Prenatal Diagnosis
|May 4, 2022
Summary
Prenatal exome sequencing (ES) for fetal anomalies improves diagnosis. Challenges in interpretation and reporting were identified, highlighting the need for clear communication and ongoing literature review for accurate genetic diagnoses.
Area of Science:
- Genetics
- Prenatal Diagnosis
- Bioinformatics
Background:
- Prenatal exome sequencing (ES) is increasingly used for diagnosing monogenic disorders in fetuses with structural anomalies.
- A national trio ES service in England utilizes a 1205-gene panel to minimize incidental findings and focus variant analysis.
- This review examines early experiences with ES service delivery, focusing on interpretation and reporting challenges.
Purpose of the Study:
- To review early laboratory experiences with prenatal exome sequencing (ES) service delivery.
- To identify challenges in variant interpretation and reporting within a national ES program.
- To inform future development and optimization of prenatal diagnostic services.
Main Methods:
- Retrospective review of laboratory records for completed prenatal exome sequencing cases.
- Analysis of cases identified as challenging, including those with interpretation difficulties, missed diagnoses due to inheritance filtering, and lack of prenatal diagnosis.
- Inclusion of cases with copy number variants not detectable by standard microarray analysis.
Main Results:
- Out of 116 completed cases, 24 presented challenges, including 13 with analysis/reporting difficulties.
- Trio inheritance filtering would have missed diagnoses in nine cases.
- Two cases lacked a prenatal diagnosis due to pipeline sensitivity or the causative gene not being on the panel; two copy number variant cases were missed by microarray.
Conclusions:
- Accurate variant interpretation necessitates close collaboration between referring clinicians and laboratory staff.
- Inheritance filtering can miss approximately 5% of diagnoses, and panel analysis does not eliminate incidental findings.
- Continuous review of scientific literature is crucial for classifying variants and improving diagnostic accuracy.
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