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Identifying Thyroid Carcinoma-Related Genes by Integrating GWAS and eQTL Data

Thyroid carcinoma (TC) is the most common endocrine malignancy. The incidence rate of thyroid cancer has increased rapidly in recent years. The occurrence and development of thyroid cancers are highly related to the massive genetic and epigenetic changes. Therefore, it is essential to explore the me...

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Autores principales: Shen, Fei, Gan, Xiaoxiong, Zhong, Ruiying, Feng, Jianhua, Chen, Zhen, Guo, Mengli, Li, Yayi, Wu, Zhaofeng, Cai, Wensong, Xu, Bo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7889963/
https://www.ncbi.nlm.nih.gov/pubmed/33614667
http://dx.doi.org/10.3389/fcell.2021.645275
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author Shen, Fei
Gan, Xiaoxiong
Zhong, Ruiying
Feng, Jianhua
Chen, Zhen
Guo, Mengli
Li, Yayi
Wu, Zhaofeng
Cai, Wensong
Xu, Bo
author_facet Shen, Fei
Gan, Xiaoxiong
Zhong, Ruiying
Feng, Jianhua
Chen, Zhen
Guo, Mengli
Li, Yayi
Wu, Zhaofeng
Cai, Wensong
Xu, Bo
author_sort Shen, Fei
collection PubMed
description Thyroid carcinoma (TC) is the most common endocrine malignancy. The incidence rate of thyroid cancer has increased rapidly in recent years. The occurrence and development of thyroid cancers are highly related to the massive genetic and epigenetic changes. Therefore, it is essential to explore the mechanism of thyroid cancer pathogenesis. Genome-Wide Association Studies (GWAS) have been widely used in various diseases. Researchers have found multiple single nucleotide polymorphisms (SNPs) are significantly related to TC. However, the biological mechanism of these SNPs is still unknown. In this paper, we used one GWAS dataset and two eQTL datasets, and integrated GWAS with expression quantitative trait loci (eQTL) in both thyroid and blood to explore the mechanism of mutations and causal genes of thyroid cancer. Finally, we found rs1912998 regulates the expression of IGFALS (P = 1.70E-06) and HAGH (P = 5.08E-07) in thyroid, which is significantly related to thyroid cancer. In addition, KEGG shows that these genes participate in multiple thyroid cancer-related pathways.
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spelling pubmed-78899632021-02-19 Identifying Thyroid Carcinoma-Related Genes by Integrating GWAS and eQTL Data Shen, Fei Gan, Xiaoxiong Zhong, Ruiying Feng, Jianhua Chen, Zhen Guo, Mengli Li, Yayi Wu, Zhaofeng Cai, Wensong Xu, Bo Front Cell Dev Biol Cell and Developmental Biology Thyroid carcinoma (TC) is the most common endocrine malignancy. The incidence rate of thyroid cancer has increased rapidly in recent years. The occurrence and development of thyroid cancers are highly related to the massive genetic and epigenetic changes. Therefore, it is essential to explore the mechanism of thyroid cancer pathogenesis. Genome-Wide Association Studies (GWAS) have been widely used in various diseases. Researchers have found multiple single nucleotide polymorphisms (SNPs) are significantly related to TC. However, the biological mechanism of these SNPs is still unknown. In this paper, we used one GWAS dataset and two eQTL datasets, and integrated GWAS with expression quantitative trait loci (eQTL) in both thyroid and blood to explore the mechanism of mutations and causal genes of thyroid cancer. Finally, we found rs1912998 regulates the expression of IGFALS (P = 1.70E-06) and HAGH (P = 5.08E-07) in thyroid, which is significantly related to thyroid cancer. In addition, KEGG shows that these genes participate in multiple thyroid cancer-related pathways. Frontiers Media S.A. 2021-02-04 /pmc/articles/PMC7889963/ /pubmed/33614667 http://dx.doi.org/10.3389/fcell.2021.645275 Text en Copyright © 2021 Shen, Gan, Zhong, Feng, Chen, Guo, Li, Wu, Cai and Xu. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Cell and Developmental Biology
Shen, Fei
Gan, Xiaoxiong
Zhong, Ruiying
Feng, Jianhua
Chen, Zhen
Guo, Mengli
Li, Yayi
Wu, Zhaofeng
Cai, Wensong
Xu, Bo
Identifying Thyroid Carcinoma-Related Genes by Integrating GWAS and eQTL Data
title Identifying Thyroid Carcinoma-Related Genes by Integrating GWAS and eQTL Data
title_full Identifying Thyroid Carcinoma-Related Genes by Integrating GWAS and eQTL Data
title_fullStr Identifying Thyroid Carcinoma-Related Genes by Integrating GWAS and eQTL Data
title_full_unstemmed Identifying Thyroid Carcinoma-Related Genes by Integrating GWAS and eQTL Data
title_short Identifying Thyroid Carcinoma-Related Genes by Integrating GWAS and eQTL Data
title_sort identifying thyroid carcinoma-related genes by integrating gwas and eqtl data
topic Cell and Developmental Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7889963/
https://www.ncbi.nlm.nih.gov/pubmed/33614667
http://dx.doi.org/10.3389/fcell.2021.645275
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