Evidence map›Paper›PMID 25019151›Full record

ArticlePloS one2014

Utilizing FMR1 gene mutations as predictors of treatment success in human in vitro fertilization.

Vitaly A Kushnir, Yao Yu, David H Barad, Andrea Weghofer, Eric Himaya, Ho-Joon Lee, Yan-Guang Wu, Aya Shohat-Tal, Emanuela Lazzaroni-Tealdi, Norbert Gleicher

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
2.1field-weighted citation impact, top 12% 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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 23 citations in OpenAlex.

  1. Does theFMR1 gene affect IVF success?Reproductive biomedicine online · 2019
    Pooled it
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  3. International journal of molecular sciences · 2025
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  5. The association ofArchives of medical science : AMS · 2021
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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

10 authors at 3 institutions in 3 countries.

Vitaly A KushnirCenter for Human Reproduction, New York, New York, United States of America.
Yao YuCenter for Human Reproduction, New York, New York, United States of America.
David H BaradCenter for Human Reproduction, New York, New York, United States of America; Foundation for Reproductive Medicine, New York, New York, United States of America.
Andrea WeghoferCenter for Human Reproduction, New York, New York, United States of America; Department of Obstetrics and Gynecology, University of Vienna School of Medicine, Vienna, Austria.
Eric HimayaGatineau Hospital, McGill University, Quebec, Canada.
Ho-Joon LeeCenter for Human Reproduction, New York, New York, United States of America.
Yan-Guang WuCenter for Human Reproduction, New York, New York, United States of America.
Aya Shohat-TalCenter for Human Reproduction, New York, New York, United States of America.
Emanuela Lazzaroni-TealdiCenter for Human Reproduction, New York, New York, United States of America.
Norbert GleicherCenter for Human Reproduction, New York, New York, United States of America; Foundation for Reproductive Medicine, New York, New York, United States of America.
Center for Human Reproduction · USFoundation for Reproductive Medicine · USMcGill University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextMutations of the fragile X mental retardation 1 (FMR1) gene are associated with distinct ovarian aging patterns.

objectiveTo confirm in human in vitro fertilization (IVF) that FMR1 affects outcomes, and to determine whether this reflects differences in ovarian aging between FMR1 mutations, egg/embryo quality or an effect on implantation. DESIGN, SETTING, PATIENTS: IVF outcomes were investigated in a private infertility center in reference to patients' FMR1 mutations based on a normal range of CGG(n = 26-34) and sub-genotypes high (CGG(n>34)) and low (CGG(<26)). The study included 3 distinct sections and study populations: (i) A generalized mixed-effects model of morphology (777 embryos, 168 IVF cycles, 125 infertile women at all ages) investigated whether embryo quality is associated with FMR1; (ii) 1041 embryos in 149 IVF cycles in presumed fertile women assessed whether the FMR1 gene is associated with aneuploidy; (iii) 352 infertile patients (< age 38; in 1st IVF cycles) and 179 donor-recipient cycles, assessed whether the FMR1 gene affects IVF pregnancy chances via oocyte/embryo quality or non-oocyte maternal factors.

interventionsStandardized IVF protocols.

main outcome measuresMorphologic embryo quality, ploidy and pregnancy rates.

results(i) Embryo morphology was reduced in presence of a low FMR1 allele (P = 0.032). In absence of a low allele, the odds ratio (OR) of chance of good (vs. fair/poor) embryos was 1.637. (ii) FMR1 was not associated with aneuploidy, though aneuploidy increased with female age. (iii) Recipient pregnancy rates were neither associated with donor age or donor FMR1. In absence of a low FMR1 allele, OR of clinical pregnancy (vs. chemical or no pregnancy) was 2.244 in middle-aged infertility patients.

conclusionsA low FMR1 allele (CGG(<26)) is associated with significantly poorer morphologic embryo quality and pregnancy chance. As women age, low FMR1 alleles affect IVF pregnancy chances by reducing egg/embryo quality by mechanisms other than embryo aneuploidy.

Indexed as

AneuploidyEmbryo, MammalianFemaleFertilization in VitroFragile X Messenger Ribonucleoprotein 1Genetic MarkersHumansInfertilityMutationOdds RatioOvaryPregnancyPregnancy RateTreatment OutcomeFMR1 protein, humanFragile X Messenger Ribonucleoprotein 1Genetic Markers

Identifiers

PMID25019151
PMCPMC4096763
OpenAlexW2057594481

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.