Online course The Preimplantation Genetic Testing Laboratory

AREA: Reproduction, Investigation



STUDENTS: 0/20 (0%)

DATES: 06/16/2020 – 07/14/2020


CENTER: IVI Global Education


06/16/2020 – 07/14/2020


20 theoretical




330 €

This course is accredited by the European Accreditation Council for Continuing Medical Education (EACCME).Once course is completed you will be awarded with 20 ECMEC´s credits. More information in FAQ´s.

Intended to

Biomedical Professionals, Biotechnologists, Andrologists and Embryologists


This course defines the different types of chromosome abnormalities and genetic diseases, as well as their incidence and origin. It focuses on genetic aspects that have implications on human fertility and the reproductive options in couples who carry genetic diseases and with a risk of chromosome abnormalities. In the end, it introduces genomics and systems medicine in the field of assisted reproduction.

Important information: To complete the course, you must use the browsers Chrome, Firefox and Internet Explorer 11 (with the exception of Microsoft Edge) on a computer with Windows Operating System (7, 8 or 10). The platform should not be accessed through mobile devices and / or tablets, regardless of the Operating System.


1. Introduction to clinical genetics
2. Meiosis, oogenesis and spermatogenesis
3. Post-fertilization mitotic divisions and embryonic mosaicism
4. Embryo biopsy: update
5. Reproductive genomics: basic concepts, consortia, databases and genome datasets
6. Genomic tools for computational prediction and clinical application
7. Genetic Diagnosis of the Endometrial Factor: controversies
8. Genetic Counseling in the infertile/sterile couple
9. PGT for monogenic disorders and carrier screening
10. PGT for chromosome abnormalities and chromosome rearrangements
11. The PGT-A controversy
12. Future directions for the molecular assessment and diagnosis of embryos
13. Analysis of genome variants: prioritization of clinical biomarkers and gene panels in the diagnosis
14. Systems Reproduction Medicine: the big data era
15. Techniques for genomic analysis: preliminary, exploratory and functional
16. Techniques for systems genomic analysis: network modelling


Patricia Díaz Gimeno

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