The Role of Genotype and Phenotype Based Risk Factors in Patients Suffering from Acute Coronary Syndrome. Issue 1 (March 2013)

• Record Type: Journal Article
• Authors: Roy, Puspita Das; Basu, Cynthia; Das, Sonali; Dasgupta, Anjan Kr.; Ganguli, Bhaswati
• Is Part Of: Calcutta Statistical Association bulletin. Volume 65:Issue 1/4(2013)
• Page Start: 219
• Page End: 228
• Publication Date: 2013-03
• Subjects: Mathematical statistics -- Periodicals; Statistics -- Methodology -- Periodicals; Statistics -- Periodicals; 519.5
• DOI: 10.1177/0008068320130113
• Languages: English
• ISSNs: 0008-0683

Abstract

Abtsrcat: In this paper we apply statistical classification techniques to a case-control study. The data analysed relates to Acute Coronary Syndrome (ACS). We discuss an adaptation of the Naive Bayes method, and assess the results using an analysis of deviance based approach. Analysis of deviance is used to rank the driver variables, such as phenotype and genotype variables to their relative contribution to classify a new case into one of ACS or non-ACS group. Results from the case-study reveal that a combination of Single Nucleotide Polymorphism (SNP) 2 and Single Nucleotide Polymorphism 4 is the most important, and the aggregation of platelets on addition of Adenosine-di-phosphate along with nano particles the next most important factors in classifying an unseen patient into one of the two groups. Some limitations and future analyses are also discussed.