Evidence map›Paper›PMID 41473562›Full record

ArticleF&S reports2025

Euploidy rates within blastocysts obtained from differently sized cohorts and age groups approximate a binomial distribution.

Thomas T F Huang, Sheela Ali, Kyle M Ishikawa, Hyeong Jun Ahn, Ammon H Bayles, Shawn E Gurtcheff, Nabil Arrach, Santiago Munne

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Article in F&S reports, 2025. 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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5 · Who and what money

Authors and funding

8 authors.

Thomas T F HuangDepartment of Obstetrics and Gynecology and Women's Health, University of Hawaii John A Burns School of Medicine, Honolulu, Hawaii.
Sheela AliScientific Director Services, Frisco, Texas.
Kyle M IshikawaDepartment of Quantitative Health Science, John A Burns School of Medicine, Honolulu, Hawaii.
Hyeong Jun AhnDepartment of Quantitative Health Science, John A Burns School of Medicine, Honolulu, Hawaii.
Ammon H BaylesUtah Fertility Center, Pleasant Grove, Utah.
Shawn E GurtcheffUtah Fertility Center, Pleasant Grove, Utah.
Nabil ArrachProgenesis USA, La Jolla, California.
Santiago MunneProgenesis USA, La Jolla, California.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate whether the distribution of euploid blastocysts within cohorts can be predicted. Design: Retrospective observational study. Subjects: A total of 1,719 autologous egg retrieval cycles for in vitro fertilization from a single center that resulted in blastocysts biopsied for preimplantation genetic testing for aneuploidy. Exposure: Trophectoderm biopsy. Main Outcome Measures: Analysis of the statistical distribution structure of blastocyst euploidy within cohorts as functions of patient age and discrete cohort size. Results: A total of 9,385 blastocyst biopsy results were analyzed. Results were first categorized into the following genotype categories: euploid (61.1%); uniform whole chromosome aneuploid (32.9%); mosaic and/or segmental (3.3%); and inconclusive results (2.7%). Cohorts were then stratified by both age group (<30, 30-34, 35-37, 38-40, 41-42, and ≥43 years) and by cohort size from 1 to 10 blastocysts. Within age groups, the probability that a blastocyst was euploid progressively decreased with increasing age from 74.5% (<30 years) to 19.2% (≥43 years). Within each of the age groups, the probability for euploidy increased as the biopsied cohort size increased from 1 to 10 (odds ratio, 1.03 for each unit increase). Biopsies from younger age groups of <40 years showed predictably smooth increases in the number of e+/cohort as cohort size increased. Notably, the observed distribution of euploids/cohort showed no statistical differences from those expected from theoretical binomial calculations in 52 (91.2%) of 57 discrete subgroups identified by age and biopsied cohort size. Conclusion: The probability distribution structure of euploids within discrete cohort sizes is binomial within all age groups and nearly all cohort sizes. The probability distribution ranges identified represent a more accurate frame of reference that describes and predicts the number of euploid blastocysts most likely to be present within an individual cohort before biopsy compared with estimates from simple age group averages. These results offer new approaches for counseling and clinical decision-making.

Indexed as

binomial distributionblastocyst biopsyIn vitro fertilizationpreimplantation genetic screening for aneuploidy

Identifiers

PMID41473562
PMCPMC12746894

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