Md. Ali Hossain, T. Asa, Sheikh Muhammad Saiful Islam, M. S. Hussain, M. Moni
{"title":"甲状腺癌与帕金森病、骨质疏松症、慢性心力衰竭、慢性肾病、1型糖尿病和2型糖尿病的遗传关联鉴定","authors":"Md. Ali Hossain, T. Asa, Sheikh Muhammad Saiful Islam, M. S. Hussain, M. Moni","doi":"10.1109/ICAEE48663.2019.8975560","DOIUrl":null,"url":null,"abstract":"Thyroid cancer (TC) sharing co-morbidity with other diseases, poses greater risk of death of patients having TC. TC has associations with other diseases and infections like Parkinson's disease (PD), Osteoporosis (OP), Chronic kidney disease (CKD), Type 2 diabetes (T2D), Type 1 diabetes (T1D) and chronic heart failure (CHF). Gene Expression Omnibus (GEO) microarray data from TC, CKD, CHF, OP, PD, T1D and T2D datasets were used in this study and were analysed to explore the association of TC with these diseases. We constructed a diseasome network among selected diseases and TC, and through established bioinformatic's procedures and tools, protein protein interaction network (PPI), the common gene ontology, dysregulated pathways, and mRNA and TFs network around the common genes were identified. We found 598 significant differentially expressed genes (DEGs) of TC where 133 were decreased-regulated and 465 were increased-regulated considering $P \\lt = \\quad.05$ and $\\vert {logFC}\\vert \\gt =1.$ We found that TC shares 82, 19, 12, 16, 5 and 5 DEGs with CKD, CHF, OP, PD, T1D and T2D respectively. We employed series of bioinformatics methodologies and tools to analyse and investigate the genetic relationship of TC with CKD, CHF, OP, PD, T1D and T2D diseases and found a strong association of CKD with TC, and also identified most significant genes (hub genes), TFs, miRNA and significant pathways that can be employed to further studies to explore underlying pathological processes implicated in TC as well as new TC biomarkers.","PeriodicalId":138634,"journal":{"name":"2019 5th International Conference on Advances in Electrical Engineering (ICAEE)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Identification of genetic association of Thyroid Cancer with Parkinsons disease, Osteoporosis, chronic heart failure, Chronic kidney disease, Type 1 diabetes and Type 2 diabetes\",\"authors\":\"Md. Ali Hossain, T. 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We found 598 significant differentially expressed genes (DEGs) of TC where 133 were decreased-regulated and 465 were increased-regulated considering $P \\\\lt = \\\\quad.05$ and $\\\\vert {logFC}\\\\vert \\\\gt =1.$ We found that TC shares 82, 19, 12, 16, 5 and 5 DEGs with CKD, CHF, OP, PD, T1D and T2D respectively. 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引用次数: 5
摘要
甲状腺癌(TC)与其他疾病合并症,对TC患者的死亡风险更大。TC与其他疾病和感染有关,如帕金森病(PD)、骨质疏松症(OP)、慢性肾病(CKD)、2型糖尿病(T2D)、1型糖尿病(T1D)和慢性心力衰竭(CHF)。本研究使用来自TC、CKD、CHF、OP、PD、T1D和T2D数据集的Gene Expression Omnibus (GEO)微阵列数据,分析TC与这些疾病的相关性。我们在选定的疾病和TC之间构建了疾病网络,并通过建立的生物信息学程序和工具,确定了蛋白质-蛋白质相互作用网络(PPI)、共同基因本体、失调通路以及共同基因周围的mRNA和tf网络。我们发现598个TC显著差异表达基因(DEGs),其中133个表达下调,465个表达上调,考虑到$P \lt = \quad。05$ and $\vert {logFC}\vert \gt =1。我们发现TC与CKD、CHF、OP、PD、T1D和T2D分别占82、19、12、16、5和5个度。我们采用了一系列生物信息学方法和工具,分析和研究了TC与CKD、CHF、OP、PD、T1D和T2D疾病的遗传关系,发现CKD与TC有很强的相关性,并发现了最重要的基因(hub基因)、tf、miRNA和重要的途径,可以用于进一步的研究,探索TC的潜在病理过程以及新的TC生物标志物。
Identification of genetic association of Thyroid Cancer with Parkinsons disease, Osteoporosis, chronic heart failure, Chronic kidney disease, Type 1 diabetes and Type 2 diabetes
Thyroid cancer (TC) sharing co-morbidity with other diseases, poses greater risk of death of patients having TC. TC has associations with other diseases and infections like Parkinson's disease (PD), Osteoporosis (OP), Chronic kidney disease (CKD), Type 2 diabetes (T2D), Type 1 diabetes (T1D) and chronic heart failure (CHF). Gene Expression Omnibus (GEO) microarray data from TC, CKD, CHF, OP, PD, T1D and T2D datasets were used in this study and were analysed to explore the association of TC with these diseases. We constructed a diseasome network among selected diseases and TC, and through established bioinformatic's procedures and tools, protein protein interaction network (PPI), the common gene ontology, dysregulated pathways, and mRNA and TFs network around the common genes were identified. We found 598 significant differentially expressed genes (DEGs) of TC where 133 were decreased-regulated and 465 were increased-regulated considering $P \lt = \quad.05$ and $\vert {logFC}\vert \gt =1.$ We found that TC shares 82, 19, 12, 16, 5 and 5 DEGs with CKD, CHF, OP, PD, T1D and T2D respectively. We employed series of bioinformatics methodologies and tools to analyse and investigate the genetic relationship of TC with CKD, CHF, OP, PD, T1D and T2D diseases and found a strong association of CKD with TC, and also identified most significant genes (hub genes), TFs, miRNA and significant pathways that can be employed to further studies to explore underlying pathological processes implicated in TC as well as new TC biomarkers.