Genome-wide association study of hyperthyroidism based on electronic medical record from Taiwan

Excess thyroid hormones have complex metabolic effects, particularly hyperthyroidism, and are associated with various cardiovascular risk factors. Previous candidate gene studies have indicated that genetic variants may contribute to this variable response. Electronic medical record (EMR) biobanks c...

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Published inFrontiers in medicine Vol. 9; p. 830621
Main Authors Liu, Ting-Yuan, Liao, Wen-Ling, Wang, Tzu-Yuan, Chan, Chia-Jung, Chang, Jan-Gowth, Chen, Yu-Chia, Lu, Hsing-Fang, Yang, Hsien-Hui, Chen, Shih-Yin, Tsai, Fuu-Jen
Format Journal Article
LanguageEnglish
Published Frontiers Media S.A 27.07.2022
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ISSN2296-858X
2296-858X
DOI10.3389/fmed.2022.830621

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Summary:Excess thyroid hormones have complex metabolic effects, particularly hyperthyroidism, and are associated with various cardiovascular risk factors. Previous candidate gene studies have indicated that genetic variants may contribute to this variable response. Electronic medical record (EMR) biobanks containing clinical and genomic data on large numbers of individuals have great potential to inform the disease comorbidity development. In this study, we combined electronic medical record (EMR) -derived phenotypes and genotype information to conduct a genome-wide analysis of hyperthyroidism in a 35,009-patient cohort in Taiwan. Diagnostic codes were used to identify 2,767 patients with hyperthyroidism. Our genome-wide association study (GWAS) identified 44 novel genomic risk markers in 10 loci on chromosomes 2, 6, and 14 ( P < 5 × 10–14), including CTLA4, HCP5, HLA-B, POU5F1, CCHCR1, HLA-DRA, HLA-DRB9, TSHR, RPL17P3, and CEP128. We further conducted a comorbidity analysis of our results, and the data revealed a strong correlation between hyperthyroidism patients with thyroid storm and stroke. In this study, we demonstrated application of the PheWAS using large EMR biobanks to inform the comorbidity development in hyperthyroidism patients. Our data suggest significant common genetic risk factors in patients with hyperthyroidism. Additionally, our results show that sex, body mass index (BMI), and thyroid storm are associated with an increased risk of stroke in subjects with hyperthyroidism.
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Edited by: Alice Chen, National Cancer Institute (NCI), United States
These authors have contributed equally to this work
This article was submitted to Precision Medicine, a section of the journal Frontiers in Medicine
Reviewed by: Yi Chiung Hsu, National Central University, Taiwan; Chia-Hung Yen, Kaohsiung Medical University, Taiwan
ISSN:2296-858X
2296-858X
DOI:10.3389/fmed.2022.830621