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학술저널
저자정보
Huang Liang (Hainan Affiliated Hospital of Hainan Medical University People’s Republic of China) Bai Fenghua (Hainan Affiliated Hospital of Hainan Medical University People’s Republic of China) Zhang Yutian (Hainan Affiliated Hospital of Hainan Medical University People’s Republic of China) Zhang Shanshan (Biological Science and Technology Co. Ltd People’s Republic of China) Jin Tianbo (Biological Science and Technology Co. Ltd People’s Republic of China) Wei Xingwei (Hainan Affiliated Hospital of Hainan Medical University People’s Republic of China) Zhou Xiaoli (Hainan Affiliated Hospital of Hainan Medical University People’s Republic of China) Lin Mei (Hainan Affiliated Hospital of Hainan Medical University People’s Republic of China) Xie Yufei (Hainan Affiliated Hospital of Hainan Medical University People’s Republic of China) He Chanyi (Hainan Affiliated Hospital of Hainan Medical University People’s Republic of China) Lin Qi (Hainan Affiliated Hospital of Hainan Medical University People’s Republic of China) Xie Tian (Hainan Affiliated Hospital of Hainan Medical University People’s Republic of China) Ding Yipeng (Hainan Affiliated Hospital of Hainan Medical University People’s Republic of China)
저널정보
한국유전학회 Genes & Genomics Genes & Genomics Vol.44 No.8
발행연도
2022.8
수록면
1,031 - 1,038 (8page)
DOI
10.1007/s13258-021-01165-1

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Background Thyroid hormones are critical regulators of metabolism, development and growth in mammals. However, the genetic association of thyroid-related hormones in the Chinese Han population is not fully understood. Objective We aimed to identify the genetic loci associated with circulating thyroid-related hormones concentrations in the healthy Chinese Han population. Methods Genotyping was performed in 124 individuals using Applied Biosystems™ Axiom™ PMDA, and 796,288 single nucleotide polymorphisms (SNPs) were available for the GWAS analysis. For replication, eleven SNPs were selected as candidate loci for genotyping by Agena MassARRAY platform in additional samples (313 subjects). The values of p < 5 × 10− 6 suggest a suggestively significant genome-wide association with circulating thyroid-related hormones concentrations. Results We identified that rs11178277 (PTPRB, p = 4.88 × 10− 07) and rs7320337 (LMO7DN-KCTD12, p = 1.22 × 10− 06) were associated with serum FT3 level. Three SNPs (rs4850041 in LOC105373394-LINC01249: p = 3.55 × 10− 06, rs6867291 in LINC02208: p = 2.40 × 10− 06 and rs79508321 in WWOX: p = 3.35 × 10− 06) were related to circulating T3 level. Rs12474167 (LOC105373394-LINC01249, p = 1.65 × 10− 06) and rs1864553 (IWS1, p = 2.00 × 10− 06) were associated with circulating T4 concentration. The association with TGA concentration was for rs17163542 in DISP1 (p = 3.46 × 10− 06) and rs12601151 in NOG-C17orf67 (p = 2.72 × 10− 07). Two genome-level significant SNPs (rs2114707 in LINC01314, p = 1.69 × 10− 06 and rs12601151, p = 1.41 × 10− 07) associated with serum TMA concentration were identified. Moreover, rs6083269 (CST1-CST2, p = 3.36 × 10− 06) was a significant locus for circulating TSH level. In replication, rs12601151 in NOG-C17orf67 was still associated with serum TGA level (p = 0.012). Conclusions The GWAS reported 11 new suggestively significant loci associated with circulating thyroid-related hormones levels among the Chinese Han population. These findings represented suggestively biological candidates for circulating thyroid-related hormones levels and provided new insights into the mechanisms of regulating serum TGA concentration.

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