Evidence map›Paper›PMID 42078343›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Modeling polygenic embryo screening in real-world IVF patients demonstrates limitations on efficacy.

Liraz Klausner, Elvezia Maria Paraboschi, Francesca Mulas, Ludovica Picchetta, Christian Simon Ottolini, Ateret Revital, Danilo Cimadomo, Alberto Vaiarelli, Todd Lencz, Antonio Capalbo and 1 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Liraz KlausnerBraun School of Public Health and Community Medicine, The Hebrew University of Jerusalem, Israel.
Elvezia Maria ParaboschiGenethyx, Chieti, Italy.
Francesca MulasGenethyx, Chieti, Italy.
Ludovica PicchettaLaboratory of Medical Genetics, Department of Oncology and Onco-Hematology, Central Hospital of Santa Rosa, Viterbo, Italy.
Christian Simon OttoliniGenethyx, Chieti, Italy.
Ateret RevitalBraun School of Public Health and Community Medicine, The Hebrew University of Jerusalem, Israel.
Danilo CimadomoDepartment of Biology and Biotechnology "Lazzaro Spallanzani", University of Pavia, Pavia, Italy.
Alberto VaiarelliIVIRMA Global Research Alliance, Genera, Clinica Valle Giulia, Rome, Italy.
Todd LenczInstitute of Behavioral Science, Feinstein Institutes for Medical Research, Manhasset, NY, USA.ORCID 0000-0001-8586-338X
Antonio CapalboCenter for Advanced Studies and Technology (CAST), Department of Medical Genetics, "G. d'Annunzio" University of Chieti-Pescara, Chieti, Italy.
Shai CarmiBraun School of Public Health and Community Medicine, The Hebrew University of Jerusalem, Israel.

Funding

Polygenic Embryo Screening: Towards Informed Decision-MakingR01HG011711 · NHGRI · FEINSTEIN INSTITUTE FOR MEDICAL RESEARCH · PI CARMI, SHAI, LAZARO-MUNOZ, GABRIEL · 2021 to 2025
$6.2M
NHGRI NIH HHS R01 HG011711
6 · The paper itself

Abstract

Background: Polygenic embryo screening (PES) has recently become available to in-vitro fertilization (IVF) patients, allowing them to evaluate the genetic risk of each of their embryos for polygenic conditions such as heart attack or diabetes. Initial modeling predicted that transferring the embryo with the lowest genetic risk for one or more diseases would substantially reduce prevalence in the next generation, with relative risk reductions up to 50%. However, these models assumed the availability of a prespecified number of embryos and that the embryo with the most favorable polygenic risk is born once transferred to the uterus. In reality, a large percentage of embryo transfers do not lead to live births, and IVF frequently results in no or only a single live birth. Methods: To quantify the expected risk reduction in the context of IVF, we used two datasets: 6944 ovarian stimulation cycles from 4452 Italian infertility patients and 2138 stimulation cycles of egg donors. In both datasets, we simulated the hypothetical application of PES in these cycles by assigning patients and their embryos randomly drawn polygenic risk scores for a given disease, assuming that embryos have been transferred in increasing order of their risk, and tracing their birth outcomes. We then compared the risk of the embryo born after hypothetical PES to the risk of an embryo born without PES. We either considered only completed cycles or integrated over possible birth outcomes of non-transferred embryos in incomplete cycles. Results: In stimulation cycles in infertility patients in which all embryos have been transferred and at least one child was born, we estimate that PES will result in relative risk reductions of just ≈1-3%. In an intention-to-screen analysis of all completed cycles (regardless of birth outcomes), relative risk reductions are under 0.5%. The risk reductions increase, as expected, with more euploid blastocysts and with younger maternal age. Including incomplete cycles (in which not all embryos have been transferred) increases risk reductions to ≈2-5%, due to the availability of more euploid blastocysts and a higher live birth rate per transfer in these cycles. Pooling all embryos from all cycles of the same patient increases risk reductions to ≈5-10%. Relative risk reductions in egg donor cycles reach ≈20% even with a single stimulation cycle per donor. Conclusions: With the exception of particularly good-prognosis patients or cycles, typical infertility patients would benefit little from PES. In fertile patients, as represented by egg donors, PES is predicted to achieve greater relative risk reductions. However, even though these reductions are still substantially lower than prior estimates that did not account for realistic live birth rates. Ethical, social, and clinical issues associated with offering PES in the general population should be prioritized in future research.

Identifiers

PMID42078343
PMCPMC13131720

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.