Clique-Based Clustering of Correlated SNPs in a Gene Can Improve Performance of Gene-Based Multi-Bin Linear Combination Test
المؤلفون المشاركون
Yoo, Yun Joo
Kim, Sun Ah
Bull, Shelley B.
المصدر
العدد
المجلد 2015، العدد 2015 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2015-08-04
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
Gene-based analysis of multiple single nucleotide polymorphisms (SNPs) in a gene region is an alternative to single SNP analysis.
The multi-bin linear combination test (MLC) proposed in previous studies utilizes the correlation among SNPs within a gene to construct a gene-based global test.
SNPs are partitioned into clusters of highly correlated SNPs, and the MLC test statistic quadratically combines linear combination statistics constructed for each cluster.
The test has degrees of freedom equal to the number of clusters and can be more powerful than a fully quadratic or fully linear test statistic.
In this study, we develop a new SNP clustering algorithm designed to find cliques, which are complete subnetworks of SNPs with all pairwise correlations above a threshold.
We evaluate the performance of the MLC test using the clique-based CLQ algorithm versus using the tag-SNP-based LDSelect algorithm.
In our numerical power calculations we observed that the two clustering algorithms produce identical clusters about 40~60% of the time, yielding similar power on average.
However, because the CLQ algorithm tends to produce smaller clusters with stronger positive correlation, the MLC test is less likely to be affected by the occurrence of opposing signs in the individual SNP effect coefficients.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Yoo, Yun Joo& Kim, Sun Ah& Bull, Shelley B.. 2015. Clique-Based Clustering of Correlated SNPs in a Gene Can Improve Performance of Gene-Based Multi-Bin Linear Combination Test. BioMed Research International،Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1057002
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Yoo, Yun Joo…[et al.]. Clique-Based Clustering of Correlated SNPs in a Gene Can Improve Performance of Gene-Based Multi-Bin Linear Combination Test. BioMed Research International No. 2015 (2015), pp.1-11.
https://search.emarefa.net/detail/BIM-1057002
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Yoo, Yun Joo& Kim, Sun Ah& Bull, Shelley B.. Clique-Based Clustering of Correlated SNPs in a Gene Can Improve Performance of Gene-Based Multi-Bin Linear Combination Test. BioMed Research International. 2015. Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1057002
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1057002
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