Evidence map›Paper›PMID 36718300›Full record

ArticleReports of biochemistry & molecular biology2022

Association Between HOTAIR rs920778 and H19 rs3741219 Polymorphisms with Hashimoto's Thyroiditis (HT) and Graves' Disease (GD).

Alireza Beiramzadeh, Zahra Heidari, Mahtab Norouzi, Mohsen Saravani

Open access · goldAbstract read
In one paragraph

Article in Reports of biochemistry & molecular biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.3field-weighted citation impact, top 49% 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

6 citing papers in PubMed, 3 citations in OpenAlex.

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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 1 institution in 1 country.

Alireza BeiramzadehDepartment of Clinical Biochemistry, School of Medicine, Zahedan University of Medical Sciences, Zahedan, Iran.
Zahra HeidariDepartment of Internal Medicine, School of Medicine, Zahedan University of Medical Sciences, Zahedan, Iran.
Mahtab NorouziDepartment of Clinical Biochemistry, School of Medicine, Zahedan University of Medical Sciences, Zahedan, Iran.
Mohsen SaravaniDepartment of Clinical Biochemistry, School of Medicine, Zahedan University of Medical Sciences, Zahedan, Iran.
Zahedan University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Graves' disease (GD) and Hashimoto's thyroiditis (HT) are two autoimmune thyroid diseases (AITDs). The current study aimed to assess possible association between HOTAIR rs920778 and H19 rs3741219 polymorphisms with GD and HT. Methods: We recruited 248 patients with autoimmune thyroid disease (133 HT patients and 115 GD patients) and 135 age- and sex-matched controls. The PCR-RFLP method was applied for genotyping of HOTAIR rs920778, and H19 rs3741219 polymorphisms. Results: The HOTAIR rs920778 GA frequency was significantly higher in control compared to HT group. The Overdominant model showed a significant association with the risk of HT. However, no significant association was observed between this polymorphism and HT susceptibility in dominant and recessive models. The H19 rs3741219 GA was more repeated in HT patients compared to control group, but the difference was not significant. There was no association between HOTAIR rs920778 and H19 rs3741219 polymorphisms with GD in all genetic models. Discussion: Our findings indicated that HOTAIR rs920778 polymorphism decreased the risk of HT. Since, this the first study, further studies with different races are required to confirm our results.

Indexed as

Graves’ diseaseH19Hashimoto’s thyroiditisHOTAIRPolymorphism

Identifiers

PMID36718300
PMCPMC9883025
OpenAlexW4316627677

What OpenQuestion holds

Textmetadata
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Registered trials

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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.