Whether the log-likelihood ratio-based IVF-PGTA assay is a more efficient method？

Abstract

Abstract At present, two different bioinformatic analysis for both chromosomal ploidy and parental contamination detection were reported to be applied in conventional in-vitro fertilization (cIVF) embryo for PGT. One is based on the informative single nucleotide polymorphism (SNPs) loci combined with parental genetic information. IVF-PGTA assay is performed for chromosomal ploidy with a regular PGT-A analysis algorithm and for contamination testing with a log-likelihood ratio (LLR) based prediction model. However, which method is more efficient for IVF-PGT is unknown. Comparative research with the effectiveness of two different methods for IVF-PGT is conducted with 17 clinical cIVF embryos. Results shows that with two different bioinformatic analysis, no parental contamination is detected among 51 cIVF embryonic specimens. Moreover, the rate of chromosomal ploidy concordance is 100%, the rate of diagnostic concordance between TE1/TE2 and ICM is 76.5% (13/17). However, in view of the cost and practicability, LLR-based IVF-PGTA maintains high accuracy at coverage of just 0.03×, and parental genetic information is not required for contamination testing. LLR-based IVF-PGTA assay shows more economical and efficient than SNP-based analysis. This comparative study provides a more efficient treatment for IVF-PGT, especially for couples with non-male factor infertility.