Evidence map›Paper›PMID 36977411›Full record

ArticleAmerican journal of human genetics2023

Identifying parental and cell-division origins of aneuploidy in the human blastocyst.

Bhavini Rana, Kevin Lambrese, Robert Mendola, Jia Xu, John Garrisi, Kathleen Miller, Diego Marin, Nathan R Treff

Open access · hybridAbstract read
In one paragraph

Article in American journal of human genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
26.1field-weighted citation impact, top 1% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

23 citing papers in PubMed, 45 citations in OpenAlex.

  1. Review
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  3. Factors associated withFrontiers in endocrinology · 2026
    Article
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  8. Structural rearrangements affect blastocyst development.Archives of gynecology and obstetrics · 2025
    Article
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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

8 authors at 4 institutions in 1 country.

Bhavini RanaGenomic Prediction Inc, 671 US Highway One, North Brunswick, NJ 08902, USA; Rutgers University, School of Graduate Studies, Molecular Biosciences, 25 Bishop Place, New Brunswick, NJ 08901, USA.
Kevin LambreseEastern Virginia Medical School, Reproductive Clinical Science, PO Box 1980, Norfolk, VA 23501, USA.
Robert MendolaInstitute for Reproductive Medicine and Science, 94 Old Short Hills Road #403e, Livingston, NJ 07039, USA.
Jia XuGenomic Prediction Inc, 671 US Highway One, North Brunswick, NJ 08902, USA.
John GarrisiInstitute for Reproductive Medicine and Science, 94 Old Short Hills Road #403e, Livingston, NJ 07039, USA.
Kathleen MillerIVF Florida Reproductive Associates, 2960 N. State Road 7 - Suite 300, Margate, FL 33603, USA.
Diego MarinGenomic Prediction Inc, 671 US Highway One, North Brunswick, NJ 08902, USA.
Nathan R TreffGenomic Prediction Inc, 671 US Highway One, North Brunswick, NJ 08902, USA; Rutgers University, Robert Wood Johnson Medical School, Department of Obstetrics, Gynecology, and Reproductive Sciences, 125 Paterson Street, Suite 4200, New Brunswick, NJ 08901, USA. Electronic address: nathan@genomicprediction.com.
Genomic Prediction (United States) · USRutgers, The State University of New Jersey · USEastern Virginia Medical School · USReproductive Biology Associates · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Preimplantation genetic testing commonly employs simplistic copy-number analyses to screen for aneuploidy in blastocyst trophectoderm biopsies. Interpreting intermediate copy number alone as evidence of mosaicism has led to suboptimal estimation of its prevalence. Because mosaicism originates from mitotic nondisjunction, utilizing SNP microarray technology to identify the cell-division origins of aneuploidy might provide a more accurate estimation of its prevalence. The present study develops and validates a method of determining the cell-division origin of aneuploidy in the human blastocyst by using both genotyping and copy-number data in parallel. The concordance of predicted origins with expected results was demonstrated in a series of truth models (99%-100%). This included determination of X chromosome origins from a subset of normal male embryos, determination of the origins of translocation chromosome-related imbalances via embryos from couples with structural rearrangements, and prediction of either mitotic or meiotic origins via multiple rebiopsies of embryos with aneuploidy. In a cohort of blastocysts with parental DNA (n = 2,277), 71% were euploid, 27% were meiotic aneuploid, and 2% were mitotic aneuploid, indicating a low frequency of bona fide mosaicism in the human blastocyst (mean maternal age: 34.4). Chromosome-specific trisomies in the blastocyst were also consistent with observations previously established in products of conception. The ability to accurately identify mitotic-origin aneuploidy in the blastocyst could benefit and better inform individuals whose IVF cycle results in all aneuploid embryos. Clinical trials with this methodology might also help provide a definitive answer regarding the reproductive potential of bona fide mosaic embryos.

Indexed as

Preimplantation DiagnosisAdultAneuploidyBlastocystFemaleGenetic TestingHumansMaleMosaicismPregnancymeiosismicroarraymitosismosaicismpreimplantation genetic testingtrisomy

Identifiers

PMID36977411
PMCPMC10119141
OpenAlexW4361002083

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.