Multivariate Cluster-Based Multifactor Dimensionality Reduction to Identify Genetic Interactions for Multiple Quantitative Phenotypes
المؤلفون المشاركون
Park, Taesung
Park, Mira
Kim, Hyein
Jeong, Hoe-Bin
Jung, Hye-Young
المصدر
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-07-11
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص EN
To understand the pathophysiology of complex diseases, including hypertension, diabetes, and autism, deleterious phenotypes are unlikely due to the effects of single genes, but rather, gene-gene interactions (GGIs), which are widely analyzed by multifactor dimensionality reduction (MDR).
Early MDR methods mainly focused on binary traits.
More recently, several extensions of MDR have been developed for analyzing various traits such as quantitative traits and survival times.
Newer technologies, such as genome-wide association studies (GWAS), have now been developed for assessing multiple traits, to simultaneously identify genetic variants associated with various pathological phenotypes.
It has also been well demonstrated that analyzing multiple traits has several advantages over single trait analysis.
While there remains a need to find GGIs for multiple traits, such studies have become more difficult, due to a lack of novel methods and software.
Herein, we propose a novel multi-CMDR method, by combining fuzzy clustering and MDR, to find GGIs for multiple traits.
Multi-CMDR showed similar power to existing methods, when phenotypes followed bivariate normal distributions, and showed better power than others for skewed distributions.
The validity of multi-CMDR was confirmed by analyzing real-life Korean GWAS data.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Kim, Hyein& Jeong, Hoe-Bin& Jung, Hye-Young& Park, Taesung& Park, Mira. 2019. Multivariate Cluster-Based Multifactor Dimensionality Reduction to Identify Genetic Interactions for Multiple Quantitative Phenotypes. BioMed Research International،Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1125433
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Kim, Hyein…[et al.]. Multivariate Cluster-Based Multifactor Dimensionality Reduction to Identify Genetic Interactions for Multiple Quantitative Phenotypes. BioMed Research International No. 2019 (2019), pp.1-10.
https://search.emarefa.net/detail/BIM-1125433
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Kim, Hyein& Jeong, Hoe-Bin& Jung, Hye-Young& Park, Taesung& Park, Mira. Multivariate Cluster-Based Multifactor Dimensionality Reduction to Identify Genetic Interactions for Multiple Quantitative Phenotypes. BioMed Research International. 2019. Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1125433
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1125433
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