bioRxivGeneticsPreprint
The PREGCARE study: Personalized recurrence risk assessment following the birth of a child with a pathogenic de novo mutation
Marie BernkopfiD, Ummi B. Abdullah, Stephen J. BushiD, K WoodiD, Sahar Ghaffari, Eleni GiannoulatouiD, Nils KoellingiD, Geoffrey J. MaheriD, Loïc M. Thibault, Jonathan P. WilliamsiD, Edward M. Blair, Fiona Blanco‐KellyiD, Angela Bloss, Emma Burkitt‐WrightiD, Natalie L.E. Canham, Alexander T. DengiD, Abhijit DixitiD, Jacqueline EasoniD, Frances ElmslieiD, Alice GardhamiD, Eleanor HayiD, Muriel Holder, Tessa HomfrayiD, Jane A. Hurst, Diana S. JohnsoniD, , Anne GorielyiD
Abstract
Next-generation sequencing has led to a dramatic improvement in molecular diagnoses of serious pediatric disorders caused by apparently de novo mutations (DNMs); by contrast, clinicians ability to counsel the parents about the risk of recurrence in a future child has lagged behind. Owing to the possibility that one of the parents could be mosaic in their germline, a recurrence risk of 1-2% is frequently quoted, but for any specific couple, this figure is usually incorrect. We present a systematic approach to providing individualized recurrence risk stratification, by combining deep-sequencing of multiple tissues in the mother-father-child trio with haplotyping to determine the parental origin of the DNM. In the first 58 couples analysed (total of 59 DNMs in 49 different genes), the risk for 35 (59%) DNMs was decreased below 0.1% but for 6 (10%) couples it was increased owing to parental mosaicism - that could be quantified in semen (recurrence risks of 5.6-12.1%) for the paternal cases. Deep-sequencing of the DNM efficiently identifies couples at greatest risk for recurrence and may qualify them for additional reproductive technologies. Haplotyping can further reassure many other couples that their recurrence risk is very low, but its implementation is more technically challenging and will require better understanding of how couples respond to information that reduces their risks.
- organism: human
- assay: whole-exome sequencing
- research focus: variant calling
- approach: statistical model
- Citations
- 2
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