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Association between thyroglobulin polymorphisms and autoimmune thyroid disease: a systematic review and meta-analysis of case–control studies

Overview of attention for article published in Genes & Immunity, August 2018
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Title
Association between thyroglobulin polymorphisms and autoimmune thyroid disease: a systematic review and meta-analysis of case–control studies
Published in
Genes & Immunity, August 2018
DOI 10.1038/s41435-018-0042-z
Pubmed ID
Authors

Ming-Liang Zhang, Dong-ming Zhang, Cai-E. Wang, Xiao-Long Chen, Fang-Zhou Liu, Jian-Xue Yang

Abstract

Emerging evidence revealed that thyroglobulin (TG) contributes to the development of autoimmune disease, and the relationship between TG and autoimmune thyroid disease (AITD) is still controversial. The aim of this study was to quantify the association between rs2076740, rs853326, rs180223, and rs2069550 TG polymorphisms and risk of AITD using a meta-analysis approach. We identified all studies that assessed the association between TG polymorphisms and AITD from PubMed, Embase, and Web of Science databases. A total of 3013 cases and 1812 controls from ten case-control studies were included. There was no significant associations found between rs2069550, rs180223, and rs853326 polymorphisms and AITD risk. The association between the rs2076740 polymorphism and AITD risk was significant in the codominant model (P = 0.005), suggesting the CC rs2076740 genotype might be a protective factor for AITD. Sensitivity analysis by removing one or two study changed the results in dominant rs2076740 and rs853326 and rs2069550 allele models (P = 0.016, 0.024, 0.027). Latitude and ethnicity significantly affected the association between rs2076740 and rs2069550 polymorphisms and AITD, indicating their protective effects in allele or dominant model (P = 0.012, 0.012, 0.012, 0.009, 0.009). The association between rs2076740, rs2069550, and rs853326 polymorphisms and AITD risk is significantly affected by study characteristics.

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Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 67%
Professor 1 17%
Student > Doctoral Student 1 17%
Readers by discipline Count As %
Medicine and Dentistry 4 67%
Biochemistry, Genetics and Molecular Biology 1 17%
Unspecified 1 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 August 2018.
All research outputs
#10,670,245
of 13,415,602 outputs
Outputs from Genes & Immunity
#489
of 594 outputs
Outputs of similar age
#199,929
of 267,525 outputs
Outputs of similar age from Genes & Immunity
#2
of 2 outputs
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