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GPA-MDS: A Visualization Approach to Investigate Genetic Architecture among Phenotypes Using GWAS Results
المؤلفون المشاركون
Wei, Wei
Hunt, Kelly J.
Wolf, Bethany J.
Hardiman, Gary
Chung, Dongjun
Ramos, Paula S.
المصدر
International Journal of Genomics
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2016)، ص ص. 1-6، 6ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-10-27
دولة النشر
مصر
عدد الصفحات
6
التخصصات الرئيسية
الملخص EN
Genome-wide association studies (GWAS) have identified tens of thousands of genetic variants associated with hundreds of phenotypes and diseases, which have provided clinical and medical benefits to patients with novel biomarkers and therapeutic targets.
Recently, there has been accumulating evidence suggesting that different complex traits share a common risk basis, namely, pleiotropy.
Previously, a statistical method, namely, GPA (Genetic analysis incorporating Pleiotropy and Annotation), was developed to improve identification of risk variants and to investigate pleiotropic structure through a joint analysis of multiple GWAS datasets.
While GPA provides a statistically rigorous framework to evaluate pleiotropy between phenotypes, it is still not trivial to investigate genetic relationships among a large number of phenotypes using the GPA framework.
In order to address this challenge, in this paper, we propose a novel approach, GPA-MDS, to visualize genetic relationships among phenotypes using the GPA algorithm and multidimensional scaling (MDS).
This tool will help researchers to investigate common etiology among diseases, which can potentially lead to development of common treatments across diseases.
We evaluate the proposed GPA-MDS framework using a simulation study and apply it to jointly analyze GWAS datasets examining 18 unique phenotypes, which helps reveal the shared genetic architecture of these phenotypes.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Wei, Wei& Ramos, Paula S.& Hunt, Kelly J.& Wolf, Bethany J.& Hardiman, Gary& Chung, Dongjun. 2016. GPA-MDS: A Visualization Approach to Investigate Genetic Architecture among Phenotypes Using GWAS Results. International Journal of Genomics،Vol. 2016, no. 2016, pp.1-6.
https://search.emarefa.net/detail/BIM-1106174
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Wei, Wei…[et al.]. GPA-MDS: A Visualization Approach to Investigate Genetic Architecture among Phenotypes Using GWAS Results. International Journal of Genomics No. 2016 (2016), pp.1-6.
https://search.emarefa.net/detail/BIM-1106174
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Wei, Wei& Ramos, Paula S.& Hunt, Kelly J.& Wolf, Bethany J.& Hardiman, Gary& Chung, Dongjun. GPA-MDS: A Visualization Approach to Investigate Genetic Architecture among Phenotypes Using GWAS Results. International Journal of Genomics. 2016. Vol. 2016, no. 2016, pp.1-6.
https://search.emarefa.net/detail/BIM-1106174
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1106174
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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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
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