Skip Navigation
Skip to contents

Endocrinol Metab : Endocrinology and Metabolism

clarivate
OPEN ACCESS
SEARCH
Search

Search

Page Path
HOME > Search
8 "Genome"
Filter
Filter
Article type
Keywords
Publication year
Authors
Funded articles
Original Articles
Calcium & Bone Metabolism
Unveiling Genetic Variants Underlying Vitamin D Deficiency in Multiple Korean Cohorts by a Genome-Wide Association Study
Ye An Kim, Ji Won Yoon, Young Lee, Hyuk Jin Choi, Jae Won Yun, Eunsin Bae, Seung-Hyun Kwon, So Eun Ahn, Ah-Ra Do, Heejin Jin, Sungho Won, Do Joon Park, Chan Soo Shin, Je Hyun Seo
Endocrinol Metab. 2021;36(6):1189-1200.   Published online December 2, 2021
DOI: https://doi.org/10.3803/EnM.2021.1241
  • 6,089 View
  • 193 Download
  • 11 Web of Science
  • 11 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Epidemiological data have shown that vitamin D deficiency is highly prevalent in Korea. Genetic factors influencing vitamin D deficiency in humans have been studied in Europe but are less known in East Asian countries, including Korea. We aimed to investigate the genetic factors related to vitamin D levels in Korean people using a genome-wide association study (GWAS).
Methods
We included 12,642 subjects from three different genetic cohorts consisting of Korean participants. The GWAS was performed on 7,590 individuals using linear or logistic regression meta- and mega-analyses. After identifying significant single nucleotide polymorphisms (SNPs), we calculated heritability and performed replication and rare variant analyses. In addition, expression quantitative trait locus (eQTL) analysis for significant SNPs was performed.
Results
rs12803256, in the actin epsilon 1, pseudogene (ACTE1P) gene, was identified as a novel polymorphism associated with vitamin D deficiency. SNPs, such as rs11723621 and rs7041, in the group-specific component gene (GC) and rs11023332 in the phosphodiesterase 3B (PDE3B) gene were significantly associated with vitamin D deficiency in both meta- and mega-analyses. The SNP heritability of the vitamin D concentration was estimated to be 7.23%. eQTL analysis for rs12803256 for the genes related to vitamin D metabolism, including glutamine-dependent NAD(+) synthetase (NADSYN1) and 7-dehydrocholesterol reductase (DHCR7), showed significantly different expression according to alleles.
Conclusion
The genetic factors underlying vitamin D deficiency in Korea included polymorphisms in the GC, PDE3B, NADSYN1, and ACTE1P genes. The biological mechanism of a non-coding SNP (rs12803256) for DHCR7/NADSYN1 on vitamin D concentrations is unclear, warranting further investigations.

Citations

Citations to this article as recorded by  
  • Vitamin D-associated genetic variants in the Brazilian population: Investigating potential instruments for Mendelian randomization
    Caroline De Souza Silverio , Carolina Bonilla
    Biomédica.2024; 44(1): 45.     CrossRef
  • Interaction between MARK3 (rs11623869), PLCB4 (rs6086746) and GEMIN2 (rs2277458) variants with bone mineral density and serum 25-hidroxivitamin D levels in Mexican Mestizo women
    Diana I. Aparicio-Bautista, Rogelio F. Jiménez-Ortega, Adriana Becerra-Cervera, Arnoldo Aquino-Gálvez, Valeria Ponce de León-Suárez, Leonora Casas-Ávila, Jorge Salmerón, Alberto Hidalgo-Bravo, Berenice Rivera-Paredez, Rafael Velázquez-Cruz
    Frontiers in Endocrinology.2024;[Epub]     CrossRef
  • Implications of vitamin D deficiency in systemic inflammation and cardiovascular health
    Sanjay Kumar Dey, Shashank Kumar, Diksha Rani, Shashank Kumar Maurya, Pratibha Banerjee, Madhur Verma, Sabyasachi Senapati
    Critical Reviews in Food Science and Nutrition.2023; : 1.     CrossRef
  • Association between Vitamin D Deficiency and Clinical Parameters in Men and Women Aged 50 Years or Older: A Cross-Sectional Cohort Study
    Ji Hyun Lee, Ye An Kim, Young Sik Kim, Young Lee, Je Hyun Seo
    Nutrients.2023; 15(13): 3043.     CrossRef
  • Single nucleotide polymorphisms in vitamin D binding protein and 25-hydroxylase genes affect vitamin D levels in adolescents of Arab ethnicity in Kuwait
    Abdur Rahman, Mohamed Abu-Farha, Arshad Channanath, Maha M. Hammad, Emil Anoop, Betty Chandy, Motasem Melhem, Fahd Al-Mulla, Thangavel Alphonse Thanaraj, Jehad Abubaker
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • Recent Information on Vitamin D Deficiency in an Adult Korean Population Visiting Local Clinics and Hospitals
    Rihwa Choi, Sung-Eun Cho, Sang Gon Lee, Eun Hee Lee
    Nutrients.2022; 14(9): 1978.     CrossRef
  • The Multiple Effects of Vitamin D against Chronic Diseases: From Reduction of Lipid Peroxidation to Updated Evidence from Clinical Studies
    Massimiliano Berretta, Vincenzo Quagliariello, Alessia Bignucolo, Sergio Facchini, Nicola Maurea, Raffaele Di Francia, Francesco Fiorica, Saman Sharifi, Silvia Bressan, Sara N. Richter, Valentina Camozzi, Luca Rinaldi, Carla Scaroni, Monica Montopoli
    Antioxidants.2022; 11(6): 1090.     CrossRef
  • A Genome-Wide Association Study of Genetic Variants of Apolipoprotein A1 Levels and Their Association with Vitamin D in Korean Cohorts
    Young Lee, Ji Won Yoon, Ye An Kim, Hyuk Jin Choi, Byung Woo Yoon, Je Hyun Seo
    Genes.2022; 13(9): 1553.     CrossRef
  • Genetic Determinants of 25-Hydroxyvitamin D Concentrations and Their Relevance to Public Health
    Elina Hyppönen, Karani S. Vimaleswaran, Ang Zhou
    Nutrients.2022; 14(20): 4408.     CrossRef
  • On the Centennial of Vitamin D—Vitamin D, Inflammation, and Autoimmune Thyroiditis: A Web of Links and Implications
    Leonidas H. Duntas, Krystallenia I. Alexandraki
    Nutrients.2022; 14(23): 5032.     CrossRef
  • The genetic and epigenetic contributions to the development of nutritional rickets
    Innocent Ogunmwonyi, Adewale Adebajo, Jeremy Mark Wilkinson
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
Close layer
Clinical Study
Identification of Novel Genetic Variants Related to Trabecular Bone Score in Community-Dwelling Older Adults
Sung Hye Kong, Ji Won Yoon, Jung Hee Kim, JooYong Park, Jiyeob Choi, Ji Hyun Lee, A Ram Hong, Nam H. Cho, Chan Soo Shin
Endocrinol Metab. 2020;35(4):801-810.   Published online November 24, 2020
DOI: https://doi.org/10.3803/EnM.2020.735
  • 4,628 View
  • 112 Download
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
As the genetic variants of trabecular bone microarchitecture are not well-understood, we performed a genome-wide association study to identify genetic determinants of bone microarchitecture analyzed by trabecular bone score (TBS).
Methods
TBS-associated genes were discovered in the Ansung cohort (discovery cohort), a community-based rural cohort in Korea, and then validated in the Gene-Environment Interaction and Phenotype (GENIE) cohort (validation cohort), consisting of subjects who underwent health check-up programs. In the discovery cohort, 2,451 participants were investigated for 1.42 million genotyped and imputed markers.
Results
In the validation cohort, identified as significant variants were evaluated in 2,733 participants. An intronic variant in iroquois homeobox 3 (IRX3), rs1815994, was significantly associated with TBS in men (P=3.74E-05 in the discovery cohort, P=0.027 in the validation cohort). Another intronic variant in mitogen-activated protein kinase kinase 5 (MAP2K5), rs11630730, was significantly associated with TBS in women (P=3.05E-09 in the discovery cohort, P=0.041 in the validation cohort). Men with the rs1815994 variant and women with the rs11630730 variant had lower TBS and lumbar spine bone mineral density. The detrimental effects of the rs1815994 variant in men and rs11630730 variant in women were also identified in association analysis (β=–0.0281, β=–0.0465, respectively).
Conclusion
In this study, the rs1815994 near IRX3 in men and rs11630730 near MAP2K5 in women were associated with deterioration of the bone microarchitecture. It is the first study to determine the association of genetic variants with TBS. Further studies are needed to confirm our findings and identify additional variants contributing to the trabecular bone microarchitecture.
Close layer
Review Article
Thyroid
Recent Improvements in Genomic and Transcriptomic Understanding of Anaplastic and Poorly Differentiated Thyroid Cancers
Seong-Keun Yoo, Young Shin Song, Young Joo Park, Jeong-Sun Seo
Endocrinol Metab. 2020;35(1):44-54.   Published online March 19, 2020
DOI: https://doi.org/10.3803/EnM.2020.35.1.44
  • 7,249 View
  • 242 Download
  • 16 Web of Science
  • 18 Crossref
AbstractAbstract PDFPubReader   ePub   

Anaplastic thyroid cancer (ATC) is a lethal human cancer with a 5-year survival rate of less than 10%. Recently, its genomic and transcriptomic characteristics have been extensively elucidated over 5 years owing to advance in high throughput sequencing. These efforts have extended molecular understandings into the progression mechanisms and therapeutic vulnerabilities of aggressive thyroid cancers. In this review, we provide an overview of genomic and transcriptomic alterations in ATC and poorly-differentiated thyroid cancer, which are distinguished from differentiated thyroid cancers. Clinically relevant genomic alterations and deregulated signaling pathways will be able to shed light on more effective prevention and stratified therapeutic interventions for affected patients.

Citations

Citations to this article as recorded by  
  • The genomic and evolutionary landscapes of anaplastic thyroid carcinoma
    Peter Y.F. Zeng, Stephenie D. Prokopec, Stephen Y. Lai, Nicole Pinto, Michelle A. Chan-Seng-Yue, Roderick Clifton-Bligh, Michelle D. Williams, Christopher J. Howlett, Paul Plantinga, Matthew J. Cecchini, Alfred K. Lam, Iram Siddiqui, Jianxin Wang, Ren X.
    Cell Reports.2024; 43(3): 113826.     CrossRef
  • Comparative study between poorly differentiated thyroid cancer and anaplastic thyroid cancer: real-world pathological distribution, death attribution, and prognostic factor estimation
    Kun Zhang, Xinyi Wang, Tao Wei, Zhihui Li, Jingqiang Zhu, Ya-Wen Chen
    Frontiers in Endocrinology.2024;[Epub]     CrossRef
  • Dabrafenib and Trametinib Therapy for Advanced Anaplastic Thyroid Cancer – Real-World Outcomes From UK Centres
    C. Lorimer, L. Cheng, R. Chandler, K. Garcez, V. Gill, K. Graham, W. Grant, S. Sardo Infirri, J. Wadsley, L. Wall, N. Webber, K.H. Wong, K. Newbold
    Clinical Oncology.2023; 35(1): e60.     CrossRef
  • MicroRNA expression profiling of RAS-mutant thyroid tumors with follicular architecture: microRNA signatures to discriminate benign from malignant lesions
    E. Macerola, A. M. Poma, P. Vignali, A. Proietti, L. Torregrossa, C. Ugolini, A. Basolo, A. Matrone, R. Elisei, F. Santini, F. Basolo
    Journal of Endocrinological Investigation.2023; 46(8): 1651.     CrossRef
  • RBX1 regulates PKM alternative splicing to facilitate anaplastic thyroid carcinoma metastasis and aerobic glycolysis by destroying the SMAR1/HDAC6 complex
    Debin Xu, Jichun Yu, Yuting Yang, Yunyan Du, Hongcheng Lu, Shouhua Zhang, Qian Feng, Yi Yu, Liang Hao, Jun Shao, Leifeng Chen
    Cell & Bioscience.2023;[Epub]     CrossRef
  • Multi-Omics and Management of Follicular Carcinoma of the Thyroid
    Thifhelimbilu Emmanuel Luvhengo, Ifongo Bombil, Arian Mokhtari, Maeyane Stephens Moeng, Demetra Demetriou, Claire Sanders, Zodwa Dlamini
    Biomedicines.2023; 11(4): 1217.     CrossRef
  • Genomic landscape of anaplastic thyroid cancer and implications on therapy
    Leslie Cheng, Kate Newbold
    Current Opinion in Endocrine and Metabolic Research.2023; 30: 100458.     CrossRef
  • Modeling the tumor microenvironment of anaplastic thyroid cancer: an orthotopic tumor model in C57BL/6 mice
    Zhen Xu, Hyo Shik Shin, Yoo Hyung Kim, Seong Yun Ha, Jae-Kyung Won, Su-jin Kim, Young Joo Park, Sareh Parangi, Sun Wook Cho, Kyu Eun Lee
    Frontiers in Immunology.2023;[Epub]     CrossRef
  • Characterization of the genomic alterations in poorly differentiated thyroid cancer
    Yeeun Lee, SeongRyeol Moon, Jae Yeon Seok, Joon-Hyop Lee, Seungyoon Nam, Yoo Seung Chung
    Scientific Reports.2023;[Epub]     CrossRef
  • Genetica del carcinoma anaplastico della tiroide
    Teresa Ramone, Chiara Mulè, Cristina Romei, Raffaele Ciampi, Eleonora Molinaro, Rossella Elisei
    L'Endocrinologo.2022; 23(2): 208.     CrossRef
  • Tissue and circulating PD-L2: moving from health and immune-mediated diseases to head and neck oncology
    Elena Muraro, Rebecca Romanò, Giuseppe Fanetti, Emanuela Vaccher, Irene Turturici, Valentina Lupato, Fabio Biagio La Torre, Jerry Polesel, Elisabetta Fratta, Vittorio Giacomarra, Giovanni Franchin, Agostino Steffan, Michele Spina, Salvatore Alfieri
    Critical Reviews in Oncology/Hematology.2022; 175: 103707.     CrossRef
  • Recent Improvements in the Treatment of High-Risk Thyroid Cancer
    Eun Kyung Lee
    Korean Society for Head and Neck Oncology.2022; 38(1): 1.     CrossRef
  • Inhibition of Glycogen Metabolism Induces Reactive Oxygen Species-Dependent Cytotoxicity in Anaplastic Thyroid Cancer in Female Mice
    Cole D Davidson, Jennifer A Tomczak, Eyal Amiel, Frances E Carr
    Endocrinology.2022;[Epub]     CrossRef
  • Survival prognostic factors for differentiated thyroid cancer patients with pulmonary metastases: A systematic review and meta-analysis
    Hao Zhao, Chun-Hao Liu, Yue Cao, Li-Yang Zhang, Ya Zhao, Yue-Wu Liu, Hong-Feng Liu, Yan-Song Lin, Xiao-Yi Li
    Frontiers in Oncology.2022;[Epub]     CrossRef
  • 2021 American Thyroid Association Guidelines for Management of Patients with Anaplastic Thyroid Cancer
    Keith C. Bible, Electron Kebebew, James Brierley, Juan P. Brito, Maria E. Cabanillas, Thomas J. Clark, Antonio Di Cristofano, Robert Foote, Thomas Giordano, Jan Kasperbauer, Kate Newbold, Yuri E. Nikiforov, Gregory Randolph, M. Sara Rosenthal, Anna M. Saw
    Thyroid.2021; 31(3): 337.     CrossRef
  • Intratumoral Heterogeneity in Differentiated Thyroid Tumors: An Intriguing Reappraisal in the Era of Personalized Medicine
    Antonio Ieni, Roberto Vita, Cristina Pizzimenti, Salvatore Benvenga, Giovanni Tuccari
    Journal of Personalized Medicine.2021; 11(5): 333.     CrossRef
  • The Role of Altered Mitochondrial Metabolism in Thyroid Cancer Development and Mitochondria-Targeted Thyroid Cancer Treatment
    Siarhei A. Dabravolski, Nikita G. Nikiforov, Alexander D. Zhuravlev, Nikolay A. Orekhov, Liudmila M. Mikhaleva, Alexander N. Orekhov
    International Journal of Molecular Sciences.2021; 23(1): 460.     CrossRef
  • Mechanisms of TERT Reactivation and Its Interaction with BRAFV600E
    Young Shin Song, Young Joo Park
    Endocrinology and Metabolism.2020; 35(3): 515.     CrossRef
Close layer
Original Article
Clinical Study
Association between Serum Gamma-Glutamyltransferase and Prevalence of Metabolic Syndrome Using Data from the Korean Genome and Epidemiology Study
Mi Young Lee, Dae Sung Hyon, Ji Hye Huh, Hae Kyung Kim, Sul Ki Han, Jang Young Kim, Sang Baek Koh
Endocrinol Metab. 2019;34(4):390-397.   Published online December 23, 2019
DOI: https://doi.org/10.3803/EnM.2019.34.4.390
  • 5,949 View
  • 120 Download
  • 14 Web of Science
  • 14 Crossref
AbstractAbstract PDFPubReader   ePub   
Background

The aim of this study was to determine whether there is a positive correlation between gamma-glutamyltransferase (GGT) levels and the prevalence of metabolic syndrome and whether GGT can be used as an easily checkable metabolic index using data from the large-scale Korean Genome and Epidemiology Study (KoGES).

Methods

We obtained data of 211,725 participants of the KoGES. The collected data included age, sex, height, weight, waist circumference, and various biochemical characteristics, including serum GGT levels. The data of study participants who ingested more than 40 g/day of alcohol and who were diagnosed with metabolic syndrome at baseline was excluded. We analyzed the prevalence of metabolic syndrome according to GGT quartiles in both genders.

Results

The GGT level was significantly higher in subjects with metabolic syndrome compared to normal subjects (37.92±48.20 mg/dL vs. 25.62±33.56 mg/dL). The prevalence of metabolic syndrome showed a stepwise increase with GGT quartiles in both male and female subjects. Compared to the lowest GGT quartile, the odds ratio was 1.534 (95% confidence interval [CI], 1.432 to 1.643), 1.939 (95% CI, 1.811 to 2.076), and 2.754 (95% CI, 2.572 to 2.948) in men and 1.155 (95% CI, 1.094 to 1.218), 1.528 (95% CI, 1.451 to 1.609), and 2.022 (95% CI, 1.921 to 2.218) in women with increasing GGT quartile. The cutoff value of GGT predicting risk of metabolic syndrome was 27 IU/L in men and 17 IU/L in women.

Conclusion

We suggested that GGT could be an easily checkable marker for the prediction of metabolic syndrome.

Citations

Citations to this article as recorded by  
  • Associating Liver Enzymes and Their Interactions with Metabolic Syndrome Prevalence in a Japanese Working Population
    Aziz Jamal, Akira Babazono, Ning Liu, Rieko Yamao, Takako Fujita, Sung-a Kim, Yunfei Li
    Metabolic Syndrome and Related Disorders.2024; 22(1): 27.     CrossRef
  • Liver fat content assessed by conventional B-mode ultrasound and metabolic profile in non-diabetic patients: Implications for clinical practice
    Rosanna Villani, Grazia Pia Magnati, Giulia Tuccari, Moris Sangineto, Antonino Davide Romano, Tommaso Cassano, Gaetano Serviddio
    Ultrasound.2023; 31(3): 177.     CrossRef
  • Serum γ-glutamyltransferase level and incidence risk of metabolic syndrome in community dwelling adults: longitudinal findings over 12 years
    Jiwon Kwak, In-Ho Seo, Yong-Jae Lee
    Diabetology & Metabolic Syndrome.2023;[Epub]     CrossRef
  • Gamma-Glutamyl Transferase as a Diagnostic Marker of Metabolic Syndrome
    Bobbili Tarun Kesava Naidu, Kakarlapudi Santosh Raju, Janapareddi V BhaskaraRao, Nallapati Sunil Kumar
    Cureus.2023;[Epub]     CrossRef
  • Metabolic syndrome and transaminases: systematic review and meta-analysis
    Elena Raya-Cano, Rafael Molina-Luque, Manuel Vaquero-Abellán, Guillermo Molina-Recio, Rocío Jiménez-Mérida, Manuel Romero-Saldaña
    Diabetology & Metabolic Syndrome.2023;[Epub]     CrossRef
  • Association between Serum Gamma-glutamyl Transferase and Metabolic Syndrome: A Case–control Study
    Akshay Shelar, Nalini Humaney, Akshay Chhajed, Krunal Domki, Ajay Narwade
    Journal of Datta Meghe Institute of Medical Sciences University.2023; 18(4): 651.     CrossRef
  • “Big Data” Approaches for Prevention of the Metabolic Syndrome
    Xinping Jiang, Zhang Yang, Shuai Wang, Shuanglin Deng
    Frontiers in Genetics.2022;[Epub]     CrossRef
  • Can Gamma-glutamyl Transferase Predict Unhealthy Metabolic Phenotypes Among Healthcare Workers in Azar Cohort Study?
    Mohammadhossein Somi, Seyed Sina Zakavi, Alireza Ostadrahimi, Negin Frounchi, Neda Gilani, Sarvin Sanaie, Elnaz Faramarzi
    Hepatitis Monthly.2022;[Epub]     CrossRef
  • Association between liver enzymes and metabolic syndrome in Canadian adults: results from the Canadian health measures survey - cycles 3 &4
    Luan Manh Chu, Chandima Karunanayake, Palok Aich, Markus Hecker, Punam Pahwa
    Journal of Diabetes & Metabolic Disorders.2022; 21(2): 1699.     CrossRef
  • Repeatedly elevated γ-glutamyltransferase levels are associated with an increased incidence of digestive cancers: A population-based cohort study
    Chang-Hoon Lee, Kyungdo Han, Da Hye Kim, Min-Sun Kwak
    World Journal of Gastroenterology.2021; 27(2): 176.     CrossRef
  • Index of Cardiac Age Index and Cardiometabolic Biomarkers in Adults with Metabolic Syndrome
    Eun Jung Choi, Sang Yeoup Lee
    Metabolic Syndrome and Related Disorders.2021; 19(5): 288.     CrossRef
  • Simple metabolic markers associated with tophaceous gout
    Wei Liu, Hui Song, Siliang Man, Hongchao Li, Siming Gao
    Clinical Rheumatology.2021; 40(12): 5047.     CrossRef
  • Expression Status and Prognostic Significance of Gamma-Glutamyl Transpeptidase Family Genes in Hepatocellular Carcinoma
    Shan Tian, Jiao Li, Yingyun Guo, Weiguo Dong, Xin Zheng
    Frontiers in Oncology.2021;[Epub]     CrossRef
  • Nonalcoholic fatty liver disease and the risk of insulin-requiring gestational diabetes
    Sang Youn You, Kyungdo Han, Seung-Hawn Lee, Mee Kyoung Kim
    Diabetology & Metabolic Syndrome.2021;[Epub]     CrossRef
Close layer
Namgok Lecture 2018
Thyroid
Genomic Characterization of Differentiated Thyroid Carcinoma
Young Shin Song, Young Joo Park
Endocrinol Metab. 2019;34(1):1-10.   Published online March 21, 2019
DOI: https://doi.org/10.3803/EnM.2019.34.1.1
  • 7,095 View
  • 210 Download
  • 36 Web of Science
  • 36 Crossref
AbstractAbstract PDFPubReader   ePub   

Since the release of The Cancer Genome Atlas study of papillary thyroid carcinoma (PTC) in 2014, additional genomic studies of differentiated thyroid carcinoma (DTC) using massively-parallel sequencing (MPS) have been published. Recent advances in MPS technology have started to provide important insights into the molecular pathogenesis of DTC. In the genomic landscape, the most recurrently altered genes in DTC, which has a low mutational burden relative to other cancers, are BRAF, RAS, and fusion genes. Some novel driver candidates also have been identified. The frequency of these genomic alterations varies across the subtypes of DTC (classical PTC, follicular variant of PTC, and follicular thyroid carcinoma). Telomerase reverse transcriptase (TERT) promoter mutations are the alteration that makes the most important contribution to the progression of DTC. In the transcriptomic landscape, DTC can be classified according to its gene expression profile, and each subtype has a distinct mutational profile, intracellular signaling output, and clinicopathological characteristics. Herein, we review the results of genomic studies using MPS technology, and describe the types and frequencies of genomic alterations according to histological classifications of DTC and the characteristics and significance of the gene expression signatures of DTC.

Citations

Citations to this article as recorded by  
  • Radiation-Related Thyroid Cancer
    Vladimir Saenko, Norisato Mitsutake
    Endocrine Reviews.2024; 45(1): 1.     CrossRef
  • TERT RNAscope analysis of sub-centimetric papillary thyroid carcinomas and synchronous lymph node metastases
    Marie-Lisa Eich, Wiebke Jeske, Uschi Zenz, Costanza Chiapponi, Christina Alidousty, Sabine Merkelbach-Bruse, Reinhard Büttner, Anne M. Schultheis
    Thyroid Research.2024;[Epub]     CrossRef
  • Molecular testing in fine‐needle aspiration of thyroid nodules
    Valarie McMurtry, Sule Canberk, Georgios Deftereos
    Diagnostic Cytopathology.2023; 51(1): 36.     CrossRef
  • A Triumvirate:
    Jaylou M. Velez Torres, Youley Tjendra, Darcy A. Kerr
    Surgical Pathology Clinics.2023; 16(1): 1.     CrossRef
  • Current Status and Prospects of Chemotherapy in Treatment of Distant Metastatic or Recurrent Thyroid Cancer
    T. Yamazaki
    Nihon Kikan Shokudoka Gakkai Kaiho.2023; 74(2): 141.     CrossRef
  • FDG uptake reflects an immune‐enriched subtype of thyroid cancer: Clinical implications of imaging‐based molecular characterization
    Hoon Young Suh, Hongyoon Choi, Sun Wook Cho, Jin Chul Paeng, Gi Jeong Cheon, Young Joo Park, Keon Wook Kang
    Cancer Medicine.2023; 12(16): 17068.     CrossRef
  • Advances in transcriptomics and proteomics in differentiated thyroid cancer: An updated perspective (Review)
    Shici Yang, Gaohong Zhu, Rui He, Dong Fang, Jiaojiao Feng
    Oncology Letters.2023;[Epub]     CrossRef
  • Different Molecular Phenotypes of Progression in BRAF- and RAS-Like Papillary Thyroid Carcinoma
    Jinsun Lim, Han Sai Lee, Jiyun Park, Kyung-Soo Kim, Soo-Kyung Kim, Yong-Wook Cho, Young Shin Song
    Endocrinology and Metabolism.2023; 38(4): 445.     CrossRef
  • Anaplastic thyroid cancer: Pathogenesis, prognostic factors and genetic landscape (Review)
    Abdul-Mohsen Alhejaily, Omar Alhuzim, Yazeed Alwelaie
    Molecular and Clinical Oncology.2023;[Epub]     CrossRef
  • Comparative Analysis of Driver Mutations and Transcriptomes in Papillary Thyroid Cancer by Region of Residence in South Korea
    Jandee Lee, Seonhyang Jeong, Hwa Young Lee, Sunmi Park, Meesson Jeong, Young Suk Jo
    Endocrinology and Metabolism.2023; 38(6): 720.     CrossRef
  • Problems of follicular thyroid carcinoma diagnostics
    S. E. Titov, S. A. Lukyanov, S. V. Sergiyko, Yu. A. Veryaskina, T. E. Ilyina, E. S. Kozorezov, S. L. Vorobyov
    Head and Neck Tumors (HNT).2023; 13(3): 10.     CrossRef
  • Resistance to RET targeted therapy in Thyroid Cancer: Molecular basis and overcoming strategies
    María San Román-Gil, Javier Pozas, Diana Rosero-Rodríguez, Jesús Chamorro-Pérez, Álvaro Ruiz-Granados, Ignacio Ruz Caracuel, Enrique Grande, Javier Molina-Cerrillo, Teresa Alonso-Gordoa
    Cancer Treatment Reviews.2022; 105: 102372.     CrossRef
  • Non-Iodine-Avid Disease Is Highly Prevalent in Distant Metastatic Differentiated Thyroid Cancer With Papillary Histology
    Myat Han Soe, Janet M Chiang, Robert R Flavell, Elham Khanafshar, Laura Mendoza, Hyunseok Kang, Chienying Liu
    The Journal of Clinical Endocrinology & Metabolism.2022; 107(8): e3206.     CrossRef
  • Recent Improvements in the Treatment of High-Risk Thyroid Cancer
    Eun Kyung Lee
    Korean Society for Head and Neck Oncology.2022; 38(1): 1.     CrossRef
  • Prognosis of Patients with 1–4 cm Papillary Thyroid Cancer Who Underwent Lobectomy: Focus on Gross Extrathyroidal Extension Invading Only the Strap Muscles
    Ahreum Jang, Meihua Jin, Won Woong Kim, Min Ji Jeon, Tae-Yon Sung, Dong Eun Song, Tae Yong Kim, Ki-Wook Chung, Won Bae Kim, Young Kee Shong, Yu-Mi Lee, Won Gu Kim
    Annals of Surgical Oncology.2022; 29(12): 7835.     CrossRef
  • Tackling Thyroid Cancer in Europe—The Challenges and Opportunities
    Denis Horgan, Dagmar Führer-Sakel, Paula Soares, Clara V. Alvarez, Laura Fugazzola, Romana T. Netea-Maier, Barbara Jarzab, Marta Kozaric, Beate Bartes, James Schuster-Bruce, Luigino Dal Maso, Martin Schlumberger, Furio Pacini
    Healthcare.2022; 10(9): 1621.     CrossRef
  • The role of EZH1 and EZH2 in development and cancer
    Soo Hyun Lee, Yingying Li, Hanbyeol Kim, Seounghyun Eum, Kyumin Park, Chul-Hwan Lee
    BMB Reports.2022; 55(12): 595.     CrossRef
  • The mutation profile of differentiated thyroid cancer coexisting with undifferentiated anaplastic cancer resembles that of anaplastic thyroid cancer but not that of archetypal differentiated thyroid cancer
    Justyna Mika, Wojciech Łabaj, Mykola Chekan, Agata Abramowicz, Monika Pietrowska, Andrzej Polański, Piotr Widłak
    Journal of Applied Genetics.2021; 62(1): 115.     CrossRef
  • Signal transducer and activator of transcription 3 inhibition alleviates resistance to BRAF inhibition in anaplastic thyroid cancer
    Ying Wang, Zhigang Hu, Weiyuan Ma, Yong Niu, Jingwei Su, Lingxiang Zhang, Pengxin Zhao
    Investigational New Drugs.2021; 39(3): 764.     CrossRef
  • Thyroid Cancer Identified After Positron Emission Tomography (PET) Shows Aggressive Histopathology
    Tim Beck, Ning Zhang, Akeesha Shah, Sarah Khoncarly, Christopher McHenry, Judy Jin
    Journal of Surgical Research.2021; 260: 245.     CrossRef
  • Associations between artificial light at night and risk for thyroid cancer: A large US cohort study
    Dong Zhang, Rena R. Jones, Peter James, Cari M. Kitahara, Qian Xiao
    Cancer.2021; 127(9): 1448.     CrossRef
  • Association of Hyperparathyroidism and Papillary Thyroid Cancer: A Multicenter Retrospective Study (Endocrinol Metab 2020;35:925-32, Chaiho Jeong et al.)
    Chaiho Jeong, Jeonghoon Ha, Moo Il Kang
    Endocrinology and Metabolism.2021; 36(1): 205.     CrossRef
  • Intratumoral Heterogeneity in Differentiated Thyroid Tumors: An Intriguing Reappraisal in the Era of Personalized Medicine
    Antonio Ieni, Roberto Vita, Cristina Pizzimenti, Salvatore Benvenga, Giovanni Tuccari
    Journal of Personalized Medicine.2021; 11(5): 333.     CrossRef
  • Silencing circRNA protein kinase C iota (circ-PRKCI) suppresses cell progression and glycolysis of human papillary thyroid cancer through circ-PRKCI/miR-335/E2F3 ceRNA axis
    Yan Liu, Gen Chen, Bo Wang, Hanjin Wu, Yi Zhang, Hui Ye
    Endocrine Journal.2021; 68(6): 713.     CrossRef
  • Multiparametric Photoacoustic Analysis of Human Thyroid Cancers In Vivo
    Jeesu Kim, Byullee Park, Jeonghoon Ha, Idan Steinberg, Sarah M. Hooper, Chaiho Jeong, Eun-Yeong Park, Wonseok Choi, Tie Liang, Ja Seong Bae, Ravi Managuli, Yongmin Kim, Sanjiv S. Gambhir, Dong-Jun Lim, Chulhong Kim
    Cancer Research.2021; 81(18): 4849.     CrossRef
  • Thyroid Cancer Risk Factors in Children with Thyroid Nodules: A One-Center Study
    Iwona Ben-Skowronek, Joanna Sieniawska, Emilia Pach, Wiktoria Wrobel, Anna Skowronek, Zaklina Tomczyk, Anna Mlodawska, Magdalena Makuch, Magdalena Malka, Czeslaw Cielecki, Pawel Nachulewicz
    Journal of Clinical Medicine.2021; 10(19): 4455.     CrossRef
  • Can We Predict Differentiated Thyroid Cancer Behavior? Role of Genetic and Molecular Markers
    Rita Niciporuka, Jurijs Nazarovs, Arturs Ozolins, Zenons Narbuts, Edvins Miklasevics, Janis Gardovskis
    Medicina.2021; 57(10): 1131.     CrossRef
  • Recent Improvements in Genomic and Transcriptomic Understanding of Anaplastic and Poorly Differentiated Thyroid Cancers
    Seong-Keun Yoo, Young Shin Song, Young Joo Park, Jeong-Sun Seo
    Endocrinology and Metabolism.2020; 35(1): 44.     CrossRef
  • Genomic and Transcriptomic Characteristics According to Size of Papillary Thyroid Microcarcinoma
    Young Shin Song, Byung-Hee Kang, Seungbok Lee, Seong-Keun Yoo, Young Sik Choi, Jungsun Park, Dong Yoon Park, Kyu Eun Lee, Jeong-Sun Seo, Young Joo Park
    Cancers.2020; 12(5): 1345.     CrossRef
  • Noninvasive follicular thyroid neoplasm with papillary-like nuclear features (NIFTP): Diagnostic updates and molecular advances
    Ying-Hsia Chu, Peter M. Sadow
    Seminars in Diagnostic Pathology.2020; 37(5): 213.     CrossRef
  • Current and Future Role of Tyrosine Kinases Inhibition in Thyroid Cancer: From Biology to Therapy
    María San Román Gil, Javier Pozas, Javier Molina-Cerrillo, Joaquín Gómez, Héctor Pian, Miguel Pozas, Alfredo Carrato, Enrique Grande, Teresa Alonso-Gordoa
    International Journal of Molecular Sciences.2020; 21(14): 4951.     CrossRef
  • DNA FISH Diagnostic Assay on Cytological Samples of Thyroid Follicular Neoplasms
    Philippe Vielh, Zsofia Balogh, Voichita Suciu, Catherine Richon, Bastien Job, Guillaume Meurice, Alexander Valent, Ludovic Lacroix, Virginie Marty, Nelly Motte, Philippe Dessen, Bernard Caillou, Abir Ghuzlan, Jean-Michel Bidart, Vladimir Lazar, Paul Hofma
    Cancers.2020; 12(9): 2529.     CrossRef
  • Mechanisms of TERT Reactivation and Its Interaction with BRAFV600E
    Young Shin Song, Young Joo Park
    Endocrinology and Metabolism.2020; 35(3): 515.     CrossRef
  • Utility of a multigene testing for preoperative evaluation of indeterminate thyroid nodules: A prospective blinded single center study in China
    Yuntao Song, Guohui Xu, Tonghui Ma, Yanli Zhu, Hao Yu, Wenbin Yu, Wei Wei, Tianxiao Wang, Bin Zhang
    Cancer Medicine.2020; 9(22): 8397.     CrossRef
  • Thyroid Cancer and Circadian Clock Disruption
    Roberta Malaguarnera, Caterina Ledda, Agnese Filippello, Francesco Frasca, Vincenzo Cristian Francavilla, Tiziana Ramaci, Maria Chiara Parisi, Venerando Rapisarda, Salvatore Piro
    Cancers.2020; 12(11): 3109.     CrossRef
  • Molecular testing approaches in thyroid cancer diagnosis
    Abdul-Mohsen AlHejaily, Naji AlJohani
    Journal of Biochemical and Clinical Genetics.2020; : 77.     CrossRef
Close layer
Review Articles
Thyroid
Genome-Wide Association Studies of Autoimmune Thyroid Diseases, Thyroid Function, and Thyroid Cancer
Yul Hwangbo, Young Joo Park
Endocrinol Metab. 2018;33(2):175-184.   Published online June 21, 2018
DOI: https://doi.org/10.3803/EnM.2018.33.2.175
  • 8,046 View
  • 142 Download
  • 58 Web of Science
  • 58 Crossref
AbstractAbstract PDFPubReader   ePub   

Thyroid diseases, including autoimmune thyroid diseases and thyroid cancer, are known to have high heritability. Family and twin studies have indicated that genetics plays a major role in the development of thyroid diseases. Thyroid function, represented by thyroid stimulating hormone (TSH) and free thyroxine (T4), is also known to be partly genetically determined. Before the era of genome-wide association studies (GWAS), the ability to identify genes responsible for susceptibility to thyroid disease was limited. Over the past decade, GWAS have been used to identify genes involved in many complex diseases, including various phenotypes of the thyroid gland. In GWAS of autoimmune thyroid diseases, many susceptibility loci associated with autoimmunity (human leukocyte antigen [HLA], protein tyrosine phosphatase, non-receptor type 22 [PTPN22], cytotoxic T-lymphocyte associated protein 4 [CTLA4], and interleukin 2 receptor subunit alpha [IL2RA]) or thyroid-specific genes (thyroid stimulating hormone receptor [TSHR] and forkhead box E1 [FOXE1]) have been identified. Regarding thyroid function, many susceptibility loci for levels of TSH and free T4 have been identified through genome-wide analyses. In GWAS of differentiated thyroid cancer, associations at FOXE1, MAP3K12 binding inhibitory protein 1 (MBIP)-NK2 homeobox 1 (NKX2-1), disrupted in renal carcinoma 3 (DIRC3), neuregulin 1 (NRG1), and pecanex-like 2 (PCNXL2) have been commonly identified in people of European and Korean ancestry, and many other susceptibility loci have been found in specific populations. Through GWAS of various thyroid-related phenotypes, many susceptibility loci have been found, providing insights into the pathogenesis of thyroid diseases and disease co-clustering within families and individuals.

Citations

Citations to this article as recorded by  
  • A new, all‐encompassing aetiology of type 1 diabetes
    Piet C. de Groen
    Immunology.2024; 171(1): 77.     CrossRef
  • The role of primary cilia in thyroid diseases
    Zijiao Tian, Xinlin Li, Xue Yu, Shuxin Yan, Jingwei Sun, Wenxin Ma, Xiaoyun Zhu, Yang Tang
    Frontiers in Endocrinology.2024;[Epub]     CrossRef
  • Investigating the Association of Polygenic Risk Scores With Thyroid Cancer Susceptibility in a Han Chinese Population
    Yi-Hao Chen, I Chieh Chen, Chia-Man Chou, Sheng-Yang Huang
    Journal of the Endocrine Society.2024;[Epub]     CrossRef
  • Causal relationship between inflammatory cytokines and autoimmune thyroid disease: a bidirectional two-sample Mendelian randomization analysis
    Zhiwei Yao, Fengli Guo, Yanlu Tan, Yiyuan Zhang, Yichen Geng, Guang Yang, Song Wang
    Frontiers in Immunology.2024;[Epub]     CrossRef
  • Association of autoimmune thyroid disease with type 1 diabetes mellitus and its ultrasonic diagnosis and management
    Jin Wang, Ke Wan, Xin Chang, Rui-Feng Mao
    World Journal of Diabetes.2024; 15(3): 348.     CrossRef
  • Multidimensional data analysis revealed thyroiditis-associated TCF19 SNP rs2073724 as a highly ranked protective variant in thyroid cancer
    Xianhui Ruan, Yu Liu, Shuping Wu, Guiming Fu, Mei Tao, Yue Huang, Dapeng Li, Songfeng Wei, Ming Gao, Shicheng Guo, Junya Ning, Xiangqian Zheng
    Aging.2024;[Epub]     CrossRef
  • Exome sequencing to explore the possibility of predicting genetic susceptibility to the joint occurrence of polycystic ovary syndrome and Hashimoto’s thyroiditis
    Natalia Zeber-Lubecka, Katarzyna Suchta, Maria Kulecka, Anna Kluska, Magdalena Piątkowska, Michal J. Dabrowski, Katarzyna Jankowska, Monika Grymowicz, Roman Smolarczyk, Ewa E. Hennig
    Frontiers in Immunology.2023;[Epub]     CrossRef
  • Molecular Mechanisms in Autoimmune Thyroid Disease
    Hernando Vargas-Uricoechea
    Cells.2023; 12(6): 918.     CrossRef
  • Identification of multiple novel susceptibility genes associated with autoimmune thyroid disease
    Xueying Liu, Yahu Miao, Chao Liu, Wan Lu, Qing Feng, Qiu Zhang
    Frontiers in Immunology.2023;[Epub]     CrossRef
  • Novel Susceptibility Genes Drive Familial Non-Medullary Thyroid Cancer in a Large Consanguineous Kindred
    Pierre Majdalani, Uri Yoel, Tayseer Nasasra, Merav Fraenkel, Alon Haim, Neta Loewenthal, Raz Zarivach, Eli Hershkovitz, Ruti Parvari
    International Journal of Molecular Sciences.2023; 24(9): 8233.     CrossRef
  • An Optimized Flow Cytometric Method to Demonstrate the Differentiation Stage-Dependent Ca2+ Flux Responses of Peripheral Human B Cells
    Anna Bajnok, Timea Serény-Litvai, Viktória Temesfői, Jasper Nörenberg, Róbert Herczeg, Ambrus Kaposi, Timea Berki, Emese Mezosi
    International Journal of Molecular Sciences.2023; 24(10): 9107.     CrossRef
  • FOXE1 Contributes to the Development of Psoriasis by Regulating WNT5A
    Meng Liu, Guanfei Zhang, Ziyang Wang, Xinyi Liu, Ke He, Ruiting Luo, Qiqi Duan, Ruimin Bai, Yuqian Wang, Wenqian Du, Yan Zheng, Yongping Shao
    Journal of Investigative Dermatology.2023; 143(12): 2366.     CrossRef
  • Correlation analysis of HHV-6A viral load and anti-TPO antibody levels in patients with Hashimoto's thyroiditis
    Noorossadat Seyyedi, Fariba Esfandiyari, Gholamreza Rafiei Dehbidi, Ali Farhadi, Farahnaz Zare, Sepide Namdari, Golrokh Bahmani, Banafsheh Rastegari, Farzaneh Zarghampoor, Abbas Behzad-Behbahani
    Future Virology.2023; 18(8): 527.     CrossRef
  • Primary cell cultures for the personalized therapy in aggressive thyroid cancer of follicular origin
    Poupak Fallahi, Silvia Martina Ferrari, Giusy Elia, Francesca Ragusa, Armando Patrizio, Sabrina Rosaria Paparo, Gianni Marone, Maria Rosaria Galdiero, Giovanni Guglielmi, Rudy Foddis, Alfonso Cristaudo, Alessandro Antonelli
    Seminars in Cancer Biology.2022; 79: 203.     CrossRef
  • The Relationship between PTPN22 R620W Polymorphisms and the Susceptibility to Autoimmune Thyroid Diseases: An Updated Meta-analysis
    Huaiyong Wu, Siyuan Wan, Mengying Qu, Bingxuan Ren, Lixiang Liu, Hongmei Shen
    Immunological Investigations.2022; 51(2): 438.     CrossRef
  • Identification of Transcriptional Pattern Related to Immune Cell Infiltration With Gene Co-Expression Network in Papillary Thyroid Cancer
    Meiye Li, Jimei Zhang, Zongjing Zhang, Ying Qian, Wei Qu, Zhaoshun Jiang, Baochang Zhao
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • Analysis of rare genetic variation underlying cardiometabolic diseases and traits among 200,000 individuals in the UK Biobank
    Sean J. Jurgens, Seung Hoan Choi, Valerie N. Morrill, Mark Chaffin, James P. Pirruccello, Jennifer L. Halford, Lu-Chen Weng, Victor Nauffal, Carolina Roselli, Amelia W. Hall, Matthew T. Oetjens, Braxton Lagerman, David P. vanMaanen, Goncalo Abecasis, Xiao
    Nature Genetics.2022; 54(3): 240.     CrossRef
  • Factors affecting recurrence in subacute granulomatous thyroiditis
    Çiğdem Tura Bahadir, Merve Yilmaz, Elif Kiliçkan
    Archives of Endocrinology and Metabolism.2022;[Epub]     CrossRef
  • Shared etiology of type 1 diabetes and Hashimoto’s thyroiditis: a population-based twin study
    Jakob Skov, Ralf Kuja-Halkola, Patrik K E Magnusson, Soffia Gudbjörnsdottir, Olle Kämpe, Sophie Bensing
    European Journal of Endocrinology.2022; 186(6): 677.     CrossRef
  • High Prevalence of Common Human Viruses in Thyroid Tissue
    Therese Weider, Angelo Genoni, Francesco Broccolo, Trond H. Paulsen, Knut Dahl-Jørgensen, Antonio Toniolo, Sara Salehi Hammerstad
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • B cells from anti-thyroid antibody positive, infertile women show hyper-reactivity to BCR stimulation
    Timea Serény-Litvai, Anna Bajnok, Viktoria Temesfoi, Jasper Nörenberg, Greta Pham-Dobor, Ambrus Kaposi, Akos Varnagy, Kalman Kovacs, Sandor Pentek, Tamas Koszegi, Emese Mezosi, Timea Berki
    Frontiers in Immunology.2022;[Epub]     CrossRef
  • What do the structures of GCN5-containing complexes teach us about their function?
    Dominique Helmlinger, Gábor Papai, Didier Devys, László Tora
    Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms.2021; 1864(2): 194614.     CrossRef
  • Genetic Susceptibility to Joint Occurrence of Polycystic Ovary Syndrome and Hashimoto’s Thyroiditis: How Far Is Our Understanding?
    Natalia Zeber-Lubecka, Ewa E. Hennig
    Frontiers in Immunology.2021;[Epub]     CrossRef
  • Type 1 Diabetes and Autoimmune Thyroid Disease—The Genetic Link
    Lara Frommer, George J. Kahaly
    Frontiers in Endocrinology.2021;[Epub]     CrossRef
  • Familial Risk of Hashimoto's Thyroiditis Among First-Degree Relatives: A Population-Based Study in Korea
    Hyun Jung Kim, Sayada Zartasha Kazmi, Taeuk Kang, Seo Young Sohn, Dong-Sook Kim, Hoo Jae Hann, Hyeong Sik Ahn
    Thyroid.2021; 31(7): 1096.     CrossRef
  • Limited Genetic Overlap Between Overt Hashimoto’s Thyroiditis and Graves’ Disease in Twins: A Population-based Study
    Jakob Skov, Jan Calissendorff, Daniel Eriksson, Patrik Magnusson, Olle Kämpe, Sophie Bensing, Ralf Kuja-Halkola
    The Journal of Clinical Endocrinology & Metabolism.2021; 106(4): e1101.     CrossRef
  • Endogenous and Synthetic Regulators of the Peripheral Components of the Hypothalamo-Hypophyseal-Gonadal and -Thyroid Axes
    A. O. Shpakov
    Neuroscience and Behavioral Physiology.2021; 51(3): 332.     CrossRef
  • Programmed Cell Death-Ligand 1 (PD-L1) gene Single Nucleotide Polymorphism in Graves’ Disease and Hashimoto’s Thyroiditis in Korean Patients
    Jee Hee Yoon, Min-ho Shin, Hee Nam Kim, Wonsuk Choi, Ji Yong Park, A Ram Hong, Hee Kyung Kim, Ho-Cheol Kang
    Endocrinology and Metabolism.2021; 36(3): 599.     CrossRef
  • Predisposition to Graves’ disease and Graves’ ophthalmopathy by genetic variants of IL2RA
    Juan Du, Xin Wang, Guiqin Tan, Wenwen Wei, Fangyu Zhou, Zhongzhi Liang, Hua Li, Hongsong Yu
    Journal of Molecular Medicine.2021; 99(10): 1487.     CrossRef
  • Association of IL-1β, NLRP3, and COX-2 Gene Polymorphisms with Autoimmune Thyroid Disease Risk and Clinical Features in the Iranian Population
    Zahra Heidari, Saeedeh Salimi, Mohsen Rokni, Mahnaz Rezaei, Neshat Khalafi, Mahdieh Jafari Shahroudi, Azizallah Dehghan, Mohsen Saravani, Rafael S. De Molon
    BioMed Research International.2021; 2021: 1.     CrossRef
  • Genetic polymorphisms in the PCNXL2 gene are risk factors for thyroid cancer in the Chinese population
    Runmei Hao, Peng Han, Ling Zhang, Ying Bi, Jinfeng Yan, Honghui Li, Yanxia Bai, Chongwen Xu, Baiya Li, Huajing Li
    Future Oncology.2021; 17(34): 4677.     CrossRef
  • Genetic Variants Associated with Thyroid Cancer Risk: Comprehensive Research Synopsis, Meta-Analysis, and Cumulative Epidemiological Evidence
    Ran Ran, Gang Tu, Hui Li, Hao Wang, Exian Mou, Caiyang Liu, Yuan Seng Wu
    Journal of Oncology.2021; 2021: 1.     CrossRef
  • The Identification of Three Key Genes Related to Stemness in Thyroid Carcinoma through Comprehensive Analysis
    Tonglong Zhang, Chunhong Yan, Zhengdu Ye, Xingling Yin, Tian-an Jiang
    Combinatorial Chemistry & High Throughput Screening.2021; 24(3): 423.     CrossRef
  • Епідеміологія автоімунного тиреоїдиту
    V.I. Кravchenko, О.А. Тоvkay, О.V. Rakov, М.D. Тronko
    INTERNATIONAL JOURNAL OF ENDOCRINOLOGY (Ukraine).2021; 17(2): 136.     CrossRef
  • Thyroid autoimmune disorders and cancer
    Silvia Martina Ferrari, Poupak Fallahi, Giusy Elia, Francesca Ragusa, Ilaria Ruffilli, Sabrina Rosaria Paparo, Alessandro Antonelli
    Seminars in Cancer Biology.2020; 64: 135.     CrossRef
  • Association of FCRL3 rs7528684 polymorphism with risk of Hashimoto's thyroiditis in Iranian patients
    Kurosh Kalantar, Farzad Ghandehari, Saeed Malek-Hosseini, Hossein Golmoghaddam, Davood Rostamzadeh, Mohamad Hossein Dabbaghmanesh, Zahra Amirghofran
    Meta Gene.2020; 24: 100663.     CrossRef
  • Differentiated thyroid cancer and Hashimoto thyroiditis: Utility of the Afirma gene expression classifier
    Vardan Papoian, Jennifer E. Rosen, Wen Lee, Leonard Wartofsky, Erin A. Felger
    Journal of Surgical Oncology.2020; 121(7): 1053.     CrossRef
  • Familial risks between Graves disease and Hashimoto thyroiditis and other autoimmune diseases in the population of Sweden
    Hauke Thomsen, Xinjun Li, Kristina Sundquist, Jan Sundquist, Asta Försti, Kari Hemminki
    Journal of Translational Autoimmunity.2020; 3: 100058.     CrossRef
  • Association of rs944289, rs965513, and rs1443434 in TITF1/TITF2 with Risks of Papillary Thyroid Carcinoma and with Nodular Goiter in Northern Chinese Han Populations
    Xin Zhang, Yulu Gu, Yong Li, Heran Cui, Xiaoli Liu, Hui Sun, Qiong Yu, Yaqin Yu, Yawen Liu, Siyan Zhan, Yi Cheng
    International Journal of Endocrinology.2020; 2020: 1.     CrossRef
  • FLT3 stop mutation increases FLT3 ligand level and risk of autoimmune thyroid disease
    Saedis Saevarsdottir, Thorunn A. Olafsdottir, Erna V. Ivarsdottir, Gisli H. Halldorsson, Kristbjorg Gunnarsdottir, Asgeir Sigurdsson, Ari Johannesson, Jon K. Sigurdsson, Thorhildur Juliusdottir, Sigrun H. Lund, Asgeir O. Arnthorsson, Edda L. Styrmisdottir
    Nature.2020; 584(7822): 619.     CrossRef
  • Genetic relationship between Hashimoto`s thyroiditis and papillary thyroid carcinoma with coexisting Hashimoto`s thyroiditis
    Ohoud Subhi, Hans-Juergen Schulten, Nadia Bagatian, Roa'a Al-Dayini, Sajjad Karim, Sherin Bakhashab, Reem Alotibi, Alaa Al-Ahmadi, Manar Ata, Aisha Elaimi, Saad Al-Muhayawi, Majid Mansouri, Khalid Al-Ghamdi, Osman Abdel Hamour, Awatif Jamal, Jaudah Al-Mag
    PLOS ONE.2020; 15(6): e0234566.     CrossRef
  • Thyroid cancer and thyroid autoimmune disease: A review of molecular aspects and clinical outcomes
    Natália Medeiros Dias Lopes, Hannah Hamada Mendonça Lens, André Armani, Poliana Camila Marinello, Alessandra Lourenço Cecchini
    Pathology - Research and Practice.2020; 216(9): 153098.     CrossRef
  • Immune gene signature delineates a subclass of thyroid cancer with unfavorable clinical outcomes
    Jingtai Zhi, Jiaoyu Yi, Mengran Tian, Huijuan Wang, Ning Kang, Xiangqian Zheng, Ming Gao
    Aging.2020; 12(7): 5733.     CrossRef
  • VARIETY OF COMBINATIONS OF HASHIMOTO’S THYROIDITIS WITH OTHER BACKGROUND PATHOLOGY OF THYROID PARENCHEMA IN DIFFERENT FORMS OF THYROID CANCER
    Yu. I. Karachentsev, V. M. Dubovik, I. V. Gopkalova, V. V. Khaziev, S. S. Sokolova, Y. P. Korchagin, N. G. Filonenko, M. Y. Sazonov, L. V. Gerasimenko
    Bulletin of Problems Biology and Medicine.2020; 3(1): 105.     CrossRef
  • Analysis of Polymorphisms rs7093069-IL-2RA, rs7138803-FAIM2, and rs1748033-PADI4 in the Group of Adolescents With Autoimmune Thyroid Diseases
    Beata Sawicka, Hanna Borysewicz-Sańczyk, Natalia Wawrusiewicz-Kurylonek, Tommaso Aversa, Domenico Corica, Joanna Gościk, Adam Krętowski, Małgorzata Waśniewska, Artur Bossowski
    Frontiers in Endocrinology.2020;[Epub]     CrossRef
  • Familial associations for rheumatoid autoimmune diseases
    Hauke Thomsen, Xinjun Li, Kristina Sundquist, Jan Sundquist, Asta Försti, Kari Hemminki
    Rheumatology Advances in Practice.2020;[Epub]     CrossRef
  • Familial risks between giant cell arteritis and Takayasu arteritis and other autoimmune diseases in the population of Sweden
    Hauke Thomsen, Xinjun Li, Kristina Sundquist, Jan Sundquist, Asta Försti, Kari Hemminki
    Scientific Reports.2020;[Epub]     CrossRef
  • The Association of Obesity with Autoimmune Thyroiditis and Thyroid Function-Possible Mechanisms of Bilateral Interaction
    Agnieszka Baranowska-Bik, Wojciech Bik, Henrik Falhammar
    International Journal of Endocrinology.2020; 2020: 1.     CrossRef
  • The Risk of Recurrence of Subacute Thyroiditis Is HLA-Dependent
    Magdalena Stasiak, Bogusław Tymoniuk, Bartłomiej Stasiak, Andrzej Lewiński
    International Journal of Molecular Sciences.2019; 20(5): 1089.     CrossRef
  • FOXE1 inhibits cell proliferation, migration and invasion of papillary thyroid cancer by regulating PDGFA
    Zheng Ding, Ronghu Ke, Yong Zhang, Youben Fan, Jianxia Fan
    Molecular and Cellular Endocrinology.2019; 493: 110420.     CrossRef
  • Current Knowledge of Germline Genetic Risk Factors for the Development of Non-Medullary Thyroid Cancer
    Kinga Hińcza, Artur Kowalik, Aldona Kowalska
    Genes.2019; 10(7): 482.     CrossRef
  • Thyroid Cancer: The Quest for Genetic Susceptibility Involving DNA Repair Genes
    Santos, Gomes, Bastos, Gil, Azevedo, Ferreira, Limbert, Silva, Rueff
    Genes.2019; 10(8): 586.     CrossRef
  • Genetic Polymorphisms on 4q21.1 Contributed to the Risk of Hashimoto's Thyroiditis
    Dachao Mo, Junjiu Li, Liang Peng, Zhiyuan Liu, Jieyun Wang, Jiru Yuan
    Genetic Testing and Molecular Biomarkers.2019; 23(12): 837.     CrossRef
  • A Weighted Genetic Risk Score Using Known Susceptibility Variants to Predict Graves Disease Risk
    Yu-Ru Ma, Shuang-Xia Zhao, Lu Li, Feng Sun, Xiao-Ping Ye, Fei-Fei Yuan, Dan Jiang, Zheng Zhou, Qian-Yue Zhang, Yue-Yue Wan, Guang-Ya Zhang, Jing Wu, Rui-Jia Zhang, Ya Fang, Huai-Dong Song
    The Journal of Clinical Endocrinology & Metabolism.2019; 104(6): 2121.     CrossRef
  • Architects meets Repairers: The interplay between homeobox genes and DNA repair
    Bruno César Feltes
    DNA Repair.2019; 73: 34.     CrossRef
  • Development of a prognostic index based on an immunogenomic landscape analysis of papillary thyroid cancer
    Peng Lin, Yi-nan Guo, Lin Shi, Xiao-jiao Li, Hong Yang, Yun He, Qing Li, Yi-wu Dang, Kang-lai Wei, Gang Chen
    Aging.2019; 11(2): 480.     CrossRef
  • Selenium and Selenoproteins in Immune Mediated Thyroid Disorders
    Liliana Santos, Celestino Neves, Miguel Melo, Paula Soares
    Diagnostics.2018; 8(4): 70.     CrossRef
  • Sex-specific genetic influence on thyroid-stimulating hormone and free thyroxine levels, and interactions between measurements: KNHANES 2013–2015
    Young Ki Lee, Dong Yeob Shin, Hyejung Shin, Eun Jig Lee, Silvia Naitza
    PLOS ONE.2018; 13(11): e0207446.     CrossRef
Close layer
Thyroid
Genetic Polymorphism Predisposing to Differentiated Thyroid Cancer: A Review of Major Findings of the Genome-Wide Association Studies
Vladimir A. Saenko, Tatiana I. Rogounovitch
Endocrinol Metab. 2018;33(2):164-174.   Published online June 21, 2018
DOI: https://doi.org/10.3803/EnM.2018.33.2.164
  • 6,223 View
  • 85 Download
  • 28 Web of Science
  • 26 Crossref
AbstractAbstract PDFPubReader   ePub   

Thyroid cancer has one of the highest hereditary component among human malignancies as seen in medical epidemiology investigations, suggesting the potential meaningfulness of genetic studies. Here we review researches into genetic variations that influence the chance of developing non-familial differentiated thyroid cancer (DTC), focusing on the major findings of the genome-wide association studies (GWASs) of common single-nucleotide polymorphisms (SNPs). To date, eight GWAS have been performed, and the association of a number of SNPs have been reproduced in dozens of replication investigations across different ethnicities, including Korea and Japan. Despite the cumulative effect of the strongest SNPs demonstrates gradual increase in the risk for cancer and their association signals are statistically quite significant, the overall prediction ability for DTC appears to be very limited. Thus, genotyping of common SNPs only would be insufficient for evidence-based counseling in clinical setting at present. Further studies to include less significant and rare SNPs, non-SNP genetic information, gene-gene interactions, ethnicity, non-genetic and environmental factors, and development of more advanced computational algorithms are warranted to approach to personalized disease risk prediction and prognostication.

Citations

Citations to this article as recorded by  
  • Radiation-Related Thyroid Cancer
    Vladimir Saenko, Norisato Mitsutake
    Endocrine Reviews.2024; 45(1): 1.     CrossRef
  • Gene variants polymorphisms and uterine leiomyoma: an updated review
    Sonal Upadhyay, Pawan K. Dubey
    Frontiers in Genetics.2024;[Epub]     CrossRef
  • Disease-associated non-coding variants alter NKX2-5 DNA-binding affinity
    Edwin G. Peña-Martínez, Alejandro Rivera-Madera, Diego A. Pomales-Matos, Leandro Sanabria-Alberto, Brittany M. Rosario-Cañuelas, Jessica M. Rodríguez-Ríos, Emanuel A. Carrasquillo-Dones, José A. Rodríguez-Martínez
    Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms.2023; 1866(1): 194906.     CrossRef
  • The Role of Genetic Polymorphisms in Differentiated Thyroid Cancer: A 2023 Update
    Robert Aurelian Tiucă, Oana Mirela Tiucă, Ionela Maria Pașcanu
    Biomedicines.2023; 11(4): 1075.     CrossRef
  • Genetic susceptibility to hereditary non-medullary thyroid cancer
    Tina Kamani, Parsa Charkhchi, Afshan Zahedi, Mohammad R. Akbari
    Hereditary Cancer in Clinical Practice.2022;[Epub]     CrossRef
  • Genetic signature of differentiated thyroid carcinoma susceptibility: a machine learning approach
    Giulia Brigante, Clara Lazzaretti, Elia Paradiso, Federico Nuzzo, Martina Sitti, Frank Tüttelmann, Gabriele Moretti, Roberto Silvestri, Federica Gemignani, Asta Försti, Kari Hemminki, Rossella Elisei, Cristina Romei, Eric Adriano Zizzi, Marco Agostino Der
    European Thyroid Journal.2022;[Epub]     CrossRef
  • Study of single nucleotide polymorphism of vascular endothelium factor in patients with differentiated thyroid cancer
    Mohamad Mohsen Motawea, Maysaa El Sayed Zaki, Maha Saif, Asmaa Osama BS Osman, Aml Mohamed Nada
    Clinical Diabetes and Endocrinology.2022;[Epub]     CrossRef
  • The Contribution of Genetic Variants to the Risk of Papillary Thyroid Carcinoma in the Kazakh Population: Study of Common Single Nucleotide Polymorphisms and Their Clinicopathological Correlations
    Zhanna Mussazhanova, Tatiana I. Rogounovitch, Vladimir A. Saenko, Ainur Krykpayeva, Maira Espenbetova, Bauyrzhan Azizov, Hisayoshi Kondo, Katsuya Matsuda, Zhanna Kalmatayeva, Raushan Issayeva, Zhanar Yeleubayeva, Madina Madiyeva, Aray Mukanova, Marat Sand
    Frontiers in Endocrinology.2021;[Epub]     CrossRef
  • Incidence of the CHEK2 Germline Mutation and Its Impact on Clinicopathological Features, Treatment Responses, and Disease Course in Patients with Papillary Thyroid Carcinoma
    Danuta Gąsior-Perczak, Artur Kowalik, Krzysztof Gruszczyński, Agnieszka Walczyk, Monika Siołek, Iwona Pałyga, Sławomir Trepka, Estera Mikina, Tomasz Trybek, Janusz Kopczyński, Agnieszka Suligowska, Rafał Ślusarczyk, Agnieszka Gonet, Jarosław Jaskulski, Pa
    Cancers.2021; 13(3): 470.     CrossRef
  • Carcinoma diferenciado de tiroides familiar: más allá de las formas sindrómicas
    Aida Orois, Mireia Mora, Irene Halperin, Josep Oriola
    Endocrinología, Diabetes y Nutrición.2021; 68(4): 260.     CrossRef
  • Gene network and biological pathways associated with susceptibility to differentiated thyroid carcinoma
    Om Kulkarni, Pierre-Emmanuel Sugier, Julie Guibon, Anne Boland-Augé, Christine Lonjou, Delphine Bacq-Daian, Robert Olaso, Carole Rubino, Vincent Souchard, Frédérique Rachedi, Juan Jesus Lence-Anta, Rosa Maria Ortiz, Constance Xhaard, Pierre Laurent-Puig,
    Scientific Reports.2021;[Epub]     CrossRef
  • Familial non medullary thyroid carcinoma: Beyond the syndromic forms
    Aida Orois, Mireia Mora, Irene Halperin, Josep Oriola
    Endocrinología, Diabetes y Nutrición (English ed.).2021; 68(4): 260.     CrossRef
  • Discrimination between 34 of 36 Possible Combinations of Three C>T SNP Genotypes in the MGMT Promoter by High Resolution Melting Analysis Coupled with Pyrosequencing Using A Single Primer Set
    Katja Zappe, Christine Pirker, Heidi Miedl, Martin Schreiber, Petra Heffeter, Georg Pfeiler, Stefan Hacker, Werner Haslik, Sabine Spiegl-Kreinecker, Margit Cichna-Markl
    International Journal of Molecular Sciences.2021; 22(22): 12527.     CrossRef
  • Emerging Biomarkers in Thyroid Practice and Research
    Shipra Agarwal, Andrey Bychkov, Chan-Kwon Jung
    Cancers.2021; 14(1): 204.     CrossRef
  • The effects of the genetic polymorphisms of antioxidant enzymes on susceptibility to papillary thyroid carcinoma
    Saeedeh Salimi, Mahdiyeh Harati‐Sadegh, Moein Eskandari, Zahra Heidari
    IUBMB Life.2020; 72(5): 1045.     CrossRef
  • Familial Aggregation and Heritability of Nonmedullary Thyroid Cancer in an Asian Population: A Nationwide Cohort Study
    Huan-Tang Lin, Fu-Chao Liu, Shu-Fu Lin, Chang-Fu Kuo, Yu-Ying Chen, Huang-Ping Yu
    The Journal of Clinical Endocrinology & Metabolism.2020; 105(7): e2521.     CrossRef
  • Does the TT Variant of the rs966423 Polymorphism in DIRC3 Affect the Stage and Clinical Course of Papillary Thyroid Cancer?
    Kinga Hińcza, Artur Kowalik, Iwona Pałyga, Agnieszka Walczyk, Danuta Gąsior-Perczak, Estera Mikina, Tomasz Trybek, Monika Szymonek, Klaudia Gadawska-Juszczyk, Klaudia Zajkowska, Agnieszka Suligowska, Artur Kuchareczko, Karol Krawczyk, Janusz Kopczyński, M
    Cancers.2020; 12(2): 423.     CrossRef
  • The effect of TP53 and P21 gene polymorphisms on papillary thyroid carcinoma susceptibility and clinical/pathological features
    Zahra Heidari, Mahdiyeh Harati‐Sadegh, Abtin Arian, Rostam Maruei‐Milan, Saeedeh Salimi
    IUBMB Life.2020; 72(5): 922.     CrossRef
  • Feasibility Study Shows Multicenter, Observational Case-Control Study Is Practicable to Determine Risk of Secondary Breast Cancer in Females With Differentiated Thyroid Carcinoma Given Radioiodine Therapy in Their Childhood or Adolescence; Findings Also S
    Valentina Drozd, Rita Schneider, Tamara Platonova, Galina Panasiuk, Tatjana Leonova, Nataliya Oculevich, Irina Shimanskaja, Irina Vershenya, Tatjana Dedovich, Tatjana Mitjukova, Inge Grelle, Johannes Biko, Christoph Reiners
    Frontiers in Endocrinology.2020;[Epub]     CrossRef
  • Genetic Mutations and Variants in the Susceptibility of Familial Non-Medullary Thyroid Cancer
    Fabíola Yukiko Miasaki, Cesar Seigi Fuziwara, Gisah Amaral de Carvalho, Edna Teruko Kimura
    Genes.2020; 11(11): 1364.     CrossRef
  • Current Knowledge of Germline Genetic Risk Factors for the Development of Non-Medullary Thyroid Cancer
    Kinga Hińcza, Artur Kowalik, Aldona Kowalska
    Genes.2019; 10(7): 482.     CrossRef
  • Thyroid Cancer: The Quest for Genetic Susceptibility Involving DNA Repair Genes
    Santos, Gomes, Bastos, Gil, Azevedo, Ferreira, Limbert, Silva, Rueff
    Genes.2019; 10(8): 586.     CrossRef
  • Effect of the thymine‐DNA glycosylase rs4135050 variant on Saudi smoker population
    Mikhlid Almutairi, Abdullah Mohammad Alhadeq, Rafa Almeer, Mohammed Almutairi, Mohammed Alzahrani, Abdelhabib Semlali
    Molecular Genetics & Genomic Medicine.2019;[Epub]     CrossRef
  • Association of Vitamin D Pathway Genetic Variation and Thyroid Cancer
    Isabel S. Carvalho, Catarina I. Gonçalves, Joana T. Almeida, Teresa Azevedo, Teresa Martins, Fernando J. Rodrigues, Manuel C. Lemos
    Genes.2019; 10(8): 572.     CrossRef
  • Association of radiation risk in the second and third generations with polymorphisms in the genes CYP1A1, CYP2E1, GSTP1 and changes in the thyroid
    Meruyert Massabayeva, Nailya Chaizhunusova, Nurlan Aukenov, Tolkyn Bulegenov, Bakytbek Apsalikov, Aigerim Shapihanova, Yersin Zhunussov
    Molecular Medicine.2019;[Epub]     CrossRef
  • BRAF‐positive multifocal and unifocal papillary thyroid cancer show different messenger RNA expressions
    Kyoungjune Pak, Sunghwan Suh, Tae Sik Goh, Seong‐Jang Kim, Sae‐Ock Oh, Ju Won Seok, In Joo Kim, Yun Hak Kim
    Clinical Endocrinology.2019; 90(4): 601.     CrossRef
Close layer
Obesity and Metabolism
Genetic Studies on Diabetic Microvascular Complications: Focusing on Genome-Wide Association Studies
Soo Heon Kwak, Kyong Soo Park
Endocrinol Metab. 2015;30(2):147-158.   Published online June 30, 2015
DOI: https://doi.org/10.3803/EnM.2015.30.2.147
  • 4,263 View
  • 39 Download
  • 15 Web of Science
  • 12 Crossref
AbstractAbstract PDFPubReader   

Diabetes is a common metabolic disorder with a worldwide prevalence of 8.3% and is the leading cause of visual loss, end-stage renal disease and amputation. Recently, genome-wide association studies (GWASs) have identified genetic risk factors for diabetic microvascular complications of retinopathy, nephropathy, and neuropathy. We summarized the recent findings of GWASs on diabetic microvascular complications and highlighted the challenges and our opinion on future directives. Five GWASs were conducted on diabetic retinopathy, nine on nephropathy, and one on neuropathic pain. The majority of recent GWASs were underpowered and heterogeneous in terms of study design, inclusion criteria and phenotype definition. Therefore, few reached the genome-wide significance threshold and the findings were inconsistent across the studies. Recent GWASs provided novel information on genetic risk factors and the possible pathophysiology of diabetic microvascular complications. However, further collaborative efforts to standardize phenotype definition and increase sample size are necessary for successful genetic studies on diabetic microvascular complications.

Citations

Citations to this article as recorded by  
  • Genetics of diabetes
    Shiwali Goyal, Jyoti Rani, Mohd Akbar Bhat, Vanita Vanita
    World Journal of Diabetes.2023; 14(6): 656.     CrossRef
  • Plasma thrombin-activatable fibrinolysis inhibitor and the 1040C/T polymorphism are risk factors for diabetic kidney disease in Chinese patients with type 2 diabetes
    Qinghua Huang, Dujin Feng, Lianlian Pan, Huan Wang, Yan Wu, Bin Zhong, Jianguang Gong, Huijun Lin, Xianming Fei
    PeerJ.2023; 11: e16352.     CrossRef
  • The G Allele of the rs12050217 Polymorphism in the BDKRB1 Gene Is Associated with Protection for Diabetic Retinopathy
    Leticia A. Brondani, Daisy Crispim, Julia Pisco, Jorge A. Guimarães, Markus Berger
    Current Eye Research.2019; 44(9): 994.     CrossRef
  • Genome‐wide association study identifies new susceptibility loci for diabetic nephropathy in Korean patients with type 2 diabetes mellitus
    Kyung H. Jeong, Jin S. Kim, Jeong‐Taek Woo, Sang Y. Rhee, Yu H. Lee, Yang G. Kim, Ju‐Young Moon, Su K. Kim, Sun W. Kang, Sang H. Lee, Yeong H. Kim
    Clinical Genetics.2019; 96(1): 35.     CrossRef
  • Diabetic polyneuropathy, deep white matter lesions, and carotid atherosclerosis: is there any association?
    Sevgi Ferik, Hayat Güven, Mehlika Panpallı Ateş, Işık Conkbayır, Selçuk Çomoğlu, Bülent Güven
    Neurological Sciences.2018; 39(1): 103.     CrossRef
  • Altered expression of WFS1 and NOTCH2 genes associated with diabetic nephropathy in T2DM patients
    Sahar A. Sharaf, Nagwa A. Kantoush, Dina F. Ayoub, Alshaymaa A. Ibrahim, Amaal A. Abdelaal, Rokaya Abdel Aziz, Mahmoud M. ElHefnawi, Amira N. Ahmed
    Diabetes Research and Clinical Practice.2018; 140: 304.     CrossRef
  • Precision medicine in diabetes prevention, classification and management
    Fangying Xie, Juliana CN Chan, Ronald CW Ma
    Journal of Diabetes Investigation.2018; 9(5): 998.     CrossRef
  • Clinical worthlessness of genetic prediction of common forms of diabetes mellitus and related chronic complications
    R. Buzzetti, S. Prudente, M. Copetti, M. Dauriz, S. Zampetti, M. Garofolo, G. Penno, V. Trischitta
    Nutrition, Metabolism and Cardiovascular Diseases.2017; 27(2): 99.     CrossRef
  • Diabetic macular oedema: clinical risk factors and emerging genetic influences
    Ebony Liu, Jamie E Craig, Kathryn Burdon
    Clinical and Experimental Optometry.2017; 100(6): 569.     CrossRef
  • Normoalbuminuric diabetic kidney disease
    Chao Chen, Chang Wang, Chun Hu, Yachun Han, Li Zhao, Xuejing Zhu, Li Xiao, Lin Sun
    Frontiers of Medicine.2017; 11(3): 310.     CrossRef
  • Biomarkers of Diabetic Retinopathy
    Daniel Shu Wei Ting, Kara-Anne Tan, Val Phua, Gavin Siew Wei Tan, Chee Wai Wong, Tien Yin Wong
    Current Diabetes Reports.2016;[Epub]     CrossRef
  • Association Between Heme Oxygenase-1 Promoter Polymorphisms and the Development of Albuminuria in Type 2 Diabetes
    Eun Young Lee, Yong-ho Lee, Soo Hyun Kim, Kyu Sik Jung, Obin Kwon, Beom Seok Kim, Chung Mo Nam, Chun Sik Park, Byung-Wan Lee, Eun Seok Kang, Bong-Soo Cha, Hyun Chul Lee
    Medicine.2015; 94(43): e1825.     CrossRef
Close layer

Endocrinol Metab : Endocrinology and Metabolism