Online Course In Preimplantation Genetic Diagnosis Laboratory

AREA: Gynecology, Reproduction, Research



STUDENTS: 3/20 (15%)

DATES: 03/07/2019 – 31/07/2019


CENTER: IVI Global Education


03/07/2019 – 31/07/2019


16 theoretical




300 €

Intended for

Andrologists, Embriologists, Specialists in Reproductive Medicine, Geneticists, Researchers, Gynaecologists, Doctors, Residents of Gynaecology and Obstetrics


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.  


The Preimplantation Genetic Diagnosis Laboratory

1. Origin of aneuploidies
2. Study of male meiosis and sperm chromosome analysis in the infertile male
3. Management of the sterile couple
4. Preconception screening
5. Embryo biopsy techniques
6. PGT for the screening of aneuploidies
7. PGT for the screening of structural rearrangements: translocations and inversions
8. PGT for monogenic diseases and HLA typing
9. Effect of the environmental exposure in Human Reproduction
10. Non-invasive prenatal diagnosis
11. Reproductive genomics: basic concepts, consortia, databases and genome datasets
12. Techniques for genomic analysis: preliminary, exploratory and functional tests
13. Techniques for systems genomic analysis: network modelling
14. Genomic tools for computational prediction and clinical application
15. Analysis of genome variants: prioritization of clinical biomarkers and gene panels in the diagnosis
16. Systems Reproduction Medicine: the big data era
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Patricia Díaz Gimeno

Finished course

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