IVF Whole genome prediction

Preimplantation Genetic Testing (PGT) of in vitro fertilized (IVF) embryos has been proposed as a method to reduce transmission of common disease, although comprehensive genetic assessment remains unavailable. Here we use a combination of molecular and statistical techniques to reliably and accurately infer inherited genome sequence in 110 embryos. We combine polygenic risk scores (PRS) and rare variation to model susceptibility across 12 common conditions.

Type: Other
Archiver: European Genome-Phenome Archive (EGA)

1 Dataset 1 Publication

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID	Description	Technology	Samples
EGAD00001008147	This dataset contains BAM files for 9 samples from individuals involved in a retrospective IVF trial. The BAM files were derived from whole genome sequencing. The 9 individuals consist of three trios containing mother, father and child samples.	Illumina NovaSeq 6000	9

Publications	Citations
Whole-genome risk prediction of common diseases in human preimplantation embryos. Kumar A, Im K, Banjevic M, Ng PC, Tunstall T, Garcia G, Galhardo L, Sun J, Schaedel ON, Levy B, Hongo D, Kijacic D, Kiehl M, Tran ND, Klatsky PC, Rabinowitz M. Nat Med 28: 2022 513-516	16