Evidence map›Paper›PMID 16236813›Full record

ArticleJournal of medical genetics2006

Phenotype of triploid embryos.

D E McFadden, W P Robinson

Abstract read
In one paragraph

Article in Journal of medical genetics, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
–field-weighted citation impact
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

30 citing papers in PubMed.

  1. Distribution of diandric and digynic triploidy depending on gestational age.Journal of assisted reproduction and genetics · 2021
    Trial
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  10. Genotyping diagnosis of gestational trophoblastic disease: frontiers in precision medicine.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2021
    Review
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  12. Review
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  14. Low-pass genome sequencing versus chromosomal microarray analysis: implementation in prenatal diagnosis.Genetics in medicine : official journal of the American College of Medical Genetics · 2020
    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

2 authors.

D E McFaddenUniversity of British Columbia, BC, Canada. dmcfadden@cw.bc.ca
W P Robinson

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The phenotypes of triploid fetuses and placentae are now well established and known to correlate with parental origin of the extra haploid set of chromosomes. In fetuses, it is not clear whether there is a direct parent of origin effect on the fetus itself or if the phenotypes are the result of growth differences influenced by abnormalities in growth and function of the placenta. Examining the phenotype of triploid embryos at an earlier stage in gestation, when the placenta effects may be less pronounced, could help clarify this question. A phenotype characteristic of triploidy in the embryonic period has been described; however, parental origin was not determined in these embryonic cases. In the present study, a population of triploid embryos is assessed to determine if there is a correlation between parental origin and phenotype. Parental origin was determined in 27 first trimester miscarriages. Digyny accounted for 19 cases and diandry for eight cases. Assessment of embryonic phenotype with parental origin showed no correlation between the phenotype of the embryo and parental origin of the extra haploid set. While there may be subtle effects of imprinting on embryonic development, they are not as obvious as they are in the mouse, consistent with the general trend of fewer imprinted genes in human beings compared with the mouse.

Indexed as

PloidiesCongenital AbnormalitiesFemaleFetusGestational AgeHumansPhenotypePlacentaPregnancy

Identifiers

PMID16236813
PMCPMC2564556

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.