Evidence map›Paper›PMID 31842980›Full record

ArticleHuman genomics2019

Associations between microRNA (miR-25, miR-32, miR-125, and miR-222) polymorphisms and recurrent implantation failure in Korean women.

Jeong Yong Lee, Eun Hee Ahn, Jung Oh Kim, Han Sung Park, Chang Soo Ryu, Ji Hyang Kim, Young Ran Kim, Woo Sik Lee, Nam Keun Kim

Open access · goldAbstract read
In one paragraph

Article in Human genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 39% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Association Study of Hyaluronan-Binding Protein 2 (International journal of molecular sciences · 2025
    Article
  4. International journal of fertility & sterility · 2025
    Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Hypoxia-sensitive miRNA regulationFrontiers in cell and developmental biology · 2022
    Article
  10. Association betweenInternational journal of molecular sciences · 2021
    Article
  11. Article
  12. Review
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

9 authors at 2 institutions in 1 country.

Jeong Yong Lee
Eun Hee Ahn
Jung Oh KimDepartment of Biomedical Science, College of Life Science, CHA University, Seongnam, 13488, South Korea.
Han Sung ParkDepartment of Biomedical Science, College of Life Science, CHA University, Seongnam, 13488, South Korea.
Chang Soo RyuDepartment of Biomedical Science, College of Life Science, CHA University, Seongnam, 13488, South Korea.
Ji Hyang KimDepartment of Obstetrics and Gynecology, CHA Bundang Medical Center, School of Medicine, CHA University, Seongnam, 13496, South Korea.
Young Ran KimDepartment of Obstetrics and Gynecology, CHA Bundang Medical Center, School of Medicine, CHA University, Seongnam, 13496, South Korea.
Woo Sik LeeDepartment of Obstetrics and Gynecology, CHA Gangnam Medical Center, School of Medicine, CHA University, Seoul, 06135, South Korea. wooslee@cha.ac.kr.
Nam Keun KimDepartment of Biomedical Science, College of Life Science, CHA University, Seongnam, 13488, South Korea. nkkim@cha.ac.kr.ORCID 0000-0002-5307-819X
CHA University · KRCHA University Bundang Medical Center · KR

Funding

Ministry of Health and Welfare (KR) HI18C1999
6 · The paper itself

Abstract

backgroundRecurrent implantation failure (RIF) is the failure of embryos to implant more than two times in a given individual. There is debate about a precise definition for RIF, but we consider more than two implantation failures for individuals who undergo in vitro fertilization-embryo transfer (IVF-ET) to constitute RIF. There are many potential reasons for RIF, including embryonic factors, immunological factors, uterine factors, coagulate factors, and genetic factors. Genetic variation has been suggested as one of the contributing factors leading to RIF, and a number of single-nucleotide polymorphisms (SNPs) have been reported to be associated with RIF. The recent elucidation of miRNA functions has provided new insight into the regulation of gene expression.

methodsWe investigated associations between polymorphisms in four miRNAs and RIF in 346 Korean women: 118 patients with RIF and 228 controls. We determined the genotypes of the miRNAs in the study participants by polymerase chain reaction-restriction fragment-length polymorphism (PCR-RFLP) analysis. We analyzed the effects of genotypes, allele combinations, and environmental and clinical factors on the risk of RIF.

resultsThe miR-25 T/miR-125aT/miR-222G (odds ratio (OR), 0.528; 95% confidence interval (CI), 0.282-0.990; P = 0.044) and miR-25 T/miR-125aT allele combinations were associated with a reduced risk of RIF. The miR-25 T/miR-32C/miR-125aC/miR-222 T allele combination was associated with an increased risk of RIF. The miR-222GT+TT genotypes interacted with high prothrombin time (≥ 12 s) to increase the risk of RIF.

conclusionsMicroRNA polymorphisms are significantly different between patients that experience RIF and healthy controls. Combinations of microRNA polymorphisms were associated with the risk of RIF. Interactions between environmental factors and genotypes increased the risk of RIF in Korean women.

Indexed as

Genetic Association StudiesGenetic Predisposition to DiseaseAdultAllelesBlood Coagulation FactorsCase-Control StudiesEmbryo ImplantationFemaleHumansMicroRNAsPolymorphism, Single NucleotidePregnancyBlood Coagulation FactorsMicroRNAsMicroRNAPolymorphismRecurrent implantation failureSingle nucleotide variation

Identifiers

PMID31842980
PMCPMC6915893
OpenAlexW2996336865

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.