Evidence map›Paper›PMID 31423418›Full record

ArticleJournal of reproduction & infertility

Impact of Genetic Variants in Estrogen Receptor-β Gene in the Etiology of Uterine Leiomyomas.

Chitroju Bharathi, Desamala Anupama, Nallari Pratibha, Anantapur Venkateshwari

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Article in Journal of reproduction & infertility. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 32% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
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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

4 authors at 2 institutions in 1 country.

Chitroju BharathiInstitute of Genetics and Hospital for Genetic Diseases, Osmania University, Begumpet, Hyderabad, Telangana, India.
Desamala AnupamaDepartment of Gynaecology, Modern Government Maternity Hospital, Hyderabad, Telangana, India.
Nallari PratibhaInstitute of Genetics and Hospital for Genetic Diseases, Osmania University, Begumpet, Hyderabad, Telangana, India.
Anantapur VenkateshwariInstitute of Genetics and Hospital for Genetic Diseases, Osmania University, Begumpet, Hyderabad, Telangana, India.
Institute of Genetics and Hospital for Genetic Diseases · INOsmania University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUterine leiomyomas are steroid hormone dependent myometrial neoplasms of female genital tract which appear after menarche and regress at menopause. The present study evaluated the role of ER-β gene polymorphisms (rs3020449 C/T, rs3020450 G/A, rs1271572 G/T, rs1256049 G/Aand rs4986938 G/A) in the etiology of disease.

methodsA total of 150 clinically, ultrasonographically evaluated uterine leiomyoma patients and an equal number of individuals as controls were considered for the present study. Genotype analysis was carried out by TETRA Primer Amplification Refractory Mutation System-PCR for promoter polymorphisms and PCR- RFLP method was done for exonic polymorphisms followed by agarose gel electrophoresis. The strength of the association of ER-β gene polymorphisms between controls and patients were measured by appropriate statistical methods.

resultsAn increased frequency of T/T genotype and T allele of rs3020449, AA genotype and A allele of rs3020450, T/T genotype and T allele of rs1271572, AA genotype and A allele of rs1256049 and A/A genotype and A allele of rs4986938 was observed in cases when compared with controls.

conclusionThe study indicates that the ER-β gene polymorphisms may act as a major genetic regulator in the etiology of uterine leiomyomas.

Indexed as

Cell proliferationEstrogensLeiomyomaMyometriumNeoplasmsTranscription factorsUterus

Identifiers

PMID31423418
PMCPMC6670268
OpenAlexW2954956980

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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.