Reproductive biomedicine online · 2024
Predicting frequency distributions of blastocyst biopsy genotypes by their discrete cohort size using the binomial theorem.
СтатьяНаблюдательное исследованиеПоддержка исследования: вне правительства СШАПоддержка NIH: внешняя программаНазвание и аннотация: Перевод пока не подготовлен
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Huang Thomas T F, Walker Brienne, Ahn Hyeong J, Ishikawa Kyle M, Arnett Christina, Huang Christopher T F
Аннотация
RESEARCH QUESTION: How are blastocyst biopsy genotypes distributed as a function of cohort size, and how well does the binomial theorem predict the specific distribution of euploid genotypes across different cohort sizes?
DESIGN: This retrospective observational study included 1065 autologous blastocyst biopsies from 206 consecutive biopsy cases at a single centre. Cohorts were classified into three mutually exclusive categories: euploid+ (containing at least one euploid), euploid-mosaic/segmental+ and meiotic (containing whole chromosome errors alone), stratified by patient age (<37 years versus ≥37 years) and cohort size (10 discrete groups). 'Observed' distributions of individual euploid blastocysts/cohort were compared with binomially 'expected' distributions using the overall probability for euploidy for each age group.
RESULTS: For patients aged <37 years, cohorts were predominantly euploid+ (85.7%). The odds of being euploid increased for each 1-unit increase in cohort size. For each size group, the observed distribution of euploid blastocysts/cohort was closely concordant with distributions predicted binomially in the largest three cohort size quartiles. In contrast, cohort categories in the smallest quartile showed greater discordance. For patients aged ≥37 years, 48.5% of cohorts were euploid+ cohorts. While the odds of being euploid also increased for each 1-unit increase in cohort size, the observed peak number of euploid blastocysts/cohort was lower than predicted binomially in all size quartiles.
CONCLUSIONS: The binomial theorem can predict the probability distributions of euploid genotypes in cohort sizes exceeding four in patients aged <37 years without a biopsy. However, in smaller cohort sizes for patients aged >37 years and all cohort sizes in patients aged ≥37 years, there were fewer euploid blastocysts/cohort than predicted binomially; thus, untransferred mosaic/segmental genotypes represent a repository of pregnancy potential.
DESIGN: This retrospective observational study included 1065 autologous blastocyst biopsies from 206 consecutive biopsy cases at a single centre. Cohorts were classified into three mutually exclusive categories: euploid+ (containing at least one euploid), euploid-mosaic/segmental+ and meiotic (containing whole chromosome errors alone), stratified by patient age (<37 years versus ≥37 years) and cohort size (10 discrete groups). 'Observed' distributions of individual euploid blastocysts/cohort were compared with binomially 'expected' distributions using the overall probability for euploidy for each age group.
RESULTS: For patients aged <37 years, cohorts were predominantly euploid+ (85.7%). The odds of being euploid increased for each 1-unit increase in cohort size. For each size group, the observed distribution of euploid blastocysts/cohort was closely concordant with distributions predicted binomially in the largest three cohort size quartiles. In contrast, cohort categories in the smallest quartile showed greater discordance. For patients aged ≥37 years, 48.5% of cohorts were euploid+ cohorts. While the odds of being euploid also increased for each 1-unit increase in cohort size, the observed peak number of euploid blastocysts/cohort was lower than predicted binomially in all size quartiles.
CONCLUSIONS: The binomial theorem can predict the probability distributions of euploid genotypes in cohort sizes exceeding four in patients aged <37 years without a biopsy. However, in smaller cohort sizes for patients aged >37 years and all cohort sizes in patients aged ≥37 years, there were fewer euploid blastocysts/cohort than predicted binomially; thus, untransferred mosaic/segmental genotypes represent a repository of pregnancy potential.