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Updated: May 16, 2026

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Semiconductor Sequencing for Preimplantation Genetic Testing for Aneuploidy
Published on: August 25, 2019
PEStimate: predicting offspring disease risk after polygenic embryo screening
Liraz Klausner1, Ateret Revital1, Todd Lencz2,3,4,5
1Braun School of Public Health and Community Medicine, The Hebrew University of Jerusalem, Jerusalem, 9112102, Israel.
Bioinformatics (Oxford, England)
|May 15, 2026
Summary
Polygenic embryo screening (PES) can estimate offspring disease risk, but previous models overestimated benefits. A new tool, PEStimate, accounts for implantation failure, providing more accurate predictions for polygenic risk assessment.
Area of Science:
- Genetics
- Reproductive Medicine
- Bioinformatics
Background:
- Polygenic embryo screening (PES) is a novel technology for assessing genetic risk of complex diseases in IVF embryos.
- Current PES models often rely on epidemiological predictions and may not account for all factors influencing outcomes.
- Previous models have not incorporated the possibility of embryo implantation failure, potentially leading to overestimated risk reductions.
Purpose of the Study:
- To develop and present PEStimate, a user-friendly online application for predicting the outcomes of polygenic embryo screening for single-gene disorders.
- To provide a tool that allows for a more accurate estimation of risk reduction by incorporating embryo implantation failure.
- To enable stakeholders to better evaluate the potential benefits and harms of PES.
Main Methods:
- Development of an online application, PEStimate, accessible via a web link.
- Implementation of a model that predicts offspring risk with and without PES, considering various user-adjustable parameters.
- Inclusion of embryo implantation failure as a novel factor in the risk prediction model.
Main Results:
- PEStimate generates predictions of offspring disease risk and visualizes risk reduction across different parameters.
- The model demonstrates that previous risk reduction estimates for PES may have been overestimated due to the exclusion of implantation failure.
- The tool allows customization based on factors like embryo availability, live birth rates, disease prevalence, and parental genetic information.
Conclusions:
- PEStimate offers a more realistic assessment of polygenic embryo screening outcomes by incorporating embryo implantation failure.
- This tool is valuable for geneticists, healthcare professionals, and patients in understanding the impact of PES.
- The application facilitates informed decision-making regarding the use of PES by weighing potential benefits against societal and personal harms.
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