Evidence map›Paper›PMID 33025559›Full record

ArticleEndocrine2021

METTL3 gene polymorphisms contribute to susceptibility to autoimmune thyroid disease.

Rong-Hua Song, Xue-Rong Liu, Chao-Qun Gao, Peng Du, Jin-An Zhang

Abstract read
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In one paragraph

Article in Endocrine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
0.7field-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

14 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. METTL3: a multifunctional regulator in diseases.Molecular and cellular biochemistry · 2025
    Review
  5. The mJournal of inflammation research · 2025
    Review
  6. Methyltransferase-like 3-mediated RNA NFrontiers in immunology · 2025
    Review
  7. Review
  8. Article
  9. Article
  10. Review
  11. Increased METTL3 expression and mBMC ophthalmology · 2023
    Article
  12. Article
  13. Article
  14. 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

5 authors at 1 institution in 1 country.

Rong-Hua SongDepartment of Endocrinology & Rheumatology, Shanghai University of Medicine & Health Sciences Affiliated Zhoupu Hospital, No.1500 Zhouyuan Road, Pudong District, Shanghai, 201318, China.ORCID http://orcid.org/0000-0002-6779-4576
Xue-Rong LiuDepartment of Endocrinology & Rheumatology, Shanghai University of Medicine & Health Sciences Affiliated Zhoupu Hospital, No.1500 Zhouyuan Road, Pudong District, Shanghai, 201318, China.
Chao-Qun GaoDepartment of Endocrinology & Rheumatology, Shanghai University of Medicine & Health Sciences Affiliated Zhoupu Hospital, No.1500 Zhouyuan Road, Pudong District, Shanghai, 201318, China.
Peng DuDepartment of Endocrinology & Rheumatology, Shanghai University of Medicine & Health Sciences Affiliated Zhoupu Hospital, No.1500 Zhouyuan Road, Pudong District, Shanghai, 201318, China.
Jin-An ZhangDepartment of Endocrinology & Rheumatology, Shanghai University of Medicine & Health Sciences Affiliated Zhoupu Hospital, No.1500 Zhouyuan Road, Pudong District, Shanghai, 201318, China. zhangjinan@hotmail.com.
Shanghai University of Medicine and Health Sciences · CN

Funding

National Natural Science Foundation of China No. 81800696 and 81873636Shanghai University of Medicine and Health Sciences hundreds of Talented Teachers Project No. ZPBRK-20-01
6 · The paper itself

Abstract

purposeAutoimmune thyroid disease (AITD) is a classic autoimmune disorder that mainly includes Graves' disease (GD) and Hashimoto's thyroiditis (HT). In this study, we explored the potential relationship between single-nucleotide polymorphisms (SNPs) of methyltransferase like 3 (METTL3) gene and the development of AITD.

methodsThe distribution of METTL3 genotypes at seven loci (rs1139130, rs1263790, rs1263791, rs17197156, rs2242526, rs3752411, and rs4417466) in 960 AITD (599 GD and 361 HT) patients and 732 unrelated healthy volunteers was examined using high-throughput sequencing technology in a case-controlled manner and their correlations with AITD development were statistically analyzed.

resultsMETTL3 genotypes at these seven SNPs were not correlated with both GD and HT except a borderline association between rs3752411and GD after adjusted for age, sex, and thyroid function under the recessive model. Subgroup analysis demonstrated that the minor allele frequencies of rs2242526 and rs4417466 were higher in male AITD patients than in healthy volunteers before adjusted for confounding factors and the genotype distribution of rs4417466 was significantly different between the two groups. Additionally, the genotype frequencies of rs1139130, rs1263791, rs2242526, and rs4417466 were positively related with GD in male patients. Likewise, the allele distribution of rs1263791, rs2242526, and rs4417466 in male GD patients differed significantly from that in male controls. Multivariate logistic regression analyses revealed a significant association between allele frequencies of these three loci and GD in male patients after adjusted for the confounding factors. Moreover, the genotype of rs3752411 was strongly associated with GD in females as well. Furthermore, distribution of rs3752411 genotype was significantly associated with hypothyroidism in HT patients.

conclusionOur study for the first time revealed a strong correlation between METTL3 mutations and AITD predisposition, implying that METTL3 may be a new candidate gene for AITD treatment.

Indexed as

Graves DiseaseHashimoto DiseaseAllelesCase-Control StudiesFemaleGene FrequencyGenetic Predisposition to DiseaseGenotypeHumansMaleMethyltransferasesPolymorphism, Single NucleotideMethyltransferasesMETTL3 protein, humanAutoimmune thyroid disease (AITD)Graves’ disease (GD)Hashimoto’s thyroiditis (HT)METTL3Polymorphism

Identifiers

PMID33025559
OpenAlexW3092604032

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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.