Daniel Ariad

The paper infers sex-specific meiotic recombination landscapes from low-coverage embryo sequencing data, revealing chromosome-specific patterns linked to aneuploidies.

The paper uses ulc-WGS data from PGT-A to identify a genetic locus associated with maternal meiotic aneuploidy risk and validates its function in mouse oocytes.

The paper analyzes human sperm genomes to test for transmission distortion, finding no evidence of weak TD and introducing a new method for low-coverage data.

This paper introduces a statistical method to distinguish meiotic and mitotic aneuploidies using low-coverage whole-genome sequencing data from IVF embryos, improving the accuracy of preimplantation genetic testing.