Integration of SNP Disease Association, eQTL, and Enrichment Analyses to Identify Risk SNPs and Susceptibility Genes in Chronic Obstructive Pulmonary Disease
المؤلفون المشاركون
Liu, Yang
Huang, Kun
Wang, Yahui
Hu, Erqiang
Wei, Benliang
Song, Zhaona
Zou, Yuqing
Ge, Luanfeng
Chen, Lina
Li, Wan
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-12-29
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
Chronic obstructive pulmonary disease (COPD) is a complex disease caused by the disturbance of genetic and environmental factors.
Single-nucleotide polymorphisms (SNPs) play a vital role in the genetic dissection of complex diseases.
In-depth analysis of SNP-related information could recognize disease-associated biomarkers and further uncover the genetic mechanism of complex diseases.
Risk-related variants might act on the disease by affecting gene expression and gene function.
Through integrating SNP disease association study and expression quantitative trait loci (eQTL) analysis, as well as functional enrichment of containing known causal genes, four risk SNPs and four corresponding susceptibility genes were identified utilizing next-generation sequencing (NGS) data of COPD.
Of the four risk SNPs, one could be found in the SNPedia database that stored disease-related SNPs and has been linked to a disease in the literature.
Four genes showed significant differences from the perspective of normal/disease or variant/nonvariant samples, as well as the high performance of sample classification.
It is speculated that the four susceptibility genes could be used as biomarkers of COPD.
Furthermore, three of our susceptibility genes have been confirmed in the literature to be associated with COPD.
Among them, two genes had an impact on the significance of expression correlation of known causal genes they interact with, respectively.
Overall, this research may present novel insights into the diagnosis and pathogenesis of COPD and susceptibility gene identification of other complex diseases.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Liu, Yang& Huang, Kun& Wang, Yahui& Hu, Erqiang& Wei, Benliang& Song, Zhaona…[et al.]. 2020. Integration of SNP Disease Association, eQTL, and Enrichment Analyses to Identify Risk SNPs and Susceptibility Genes in Chronic Obstructive Pulmonary Disease. BioMed Research International،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1133479
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Liu, Yang…[et al.]. Integration of SNP Disease Association, eQTL, and Enrichment Analyses to Identify Risk SNPs and Susceptibility Genes in Chronic Obstructive Pulmonary Disease. BioMed Research International No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1133479
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Liu, Yang& Huang, Kun& Wang, Yahui& Hu, Erqiang& Wei, Benliang& Song, Zhaona…[et al.]. Integration of SNP Disease Association, eQTL, and Enrichment Analyses to Identify Risk SNPs and Susceptibility Genes in Chronic Obstructive Pulmonary Disease. BioMed Research International. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1133479
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1133479
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر