scholarly journals A Kernel Regression Approach to Gene-Gene Interaction Detection for Case-Control Studies

2013 ◽  
Vol 37 (7) ◽  
pp. 695-703 ◽  
Author(s):  
Nicholas B. Larson ◽  
Daniel J. Schaid
Keyword(s):  
Kernel Regression ◽  
Gene Interaction ◽  
Case Control ◽  
Case Control Studies ◽  
Interaction Detection ◽  
Regression Approach

scholarly journals Region-based interaction detection in genome-wide case-control studies

2019 ◽  
Vol 12 (S7) ◽  
Author(s):  
Sen Zhang ◽  
Wei Jiang ◽  
Ronald CW Ma ◽  
Weichuan Yu
Keyword(s):  
Genome Wide Association Study ◽  
Detection Method ◽  
Building Blocks ◽  
Case Control ◽  
Error Rates ◽  
Detection Methods ◽  
Type I ◽  
Case Control Studies ◽  
Interaction Detection ◽  
Genome Wide

Abstract Background In genome-wide association study (GWAS), conventional interaction detection methods such as BOOST are mostly based on SNP-SNP interactions. Although single nucleotides are the building blocks of human genome, single nucleotide polymorphisms (SNPs) are not necessarily the smallest functional unit for complex phenotypes. Region-based strategies have been proved to be successful in studies aiming at marginal effects. Methods We propose a novel region-region interaction detection method named RRIntCC (region-region interaction detection for case-control studies). RRIntCC uses the correlations between individual SNP-SNP interactions based on linkage disequilibrium (LD) contrast test. Results Simulation experiments showed that our method can achieve a higher power than conventional SNP-based methods with similar type-I-error rates. When applied to two real datasets, RRIntCC was able to find several significant regions, while BOOST failed to identify any significant results. The source code and the sample data of RRIntCC are available at http://bioinformatics.ust.hk/RRIntCC.html. Conclusion In this paper, a new region-based interaction detection method with better performance than SNP-based interaction detection methods has been proposed.

scholarly journals Allelic Based Gene-Gene Interaction in Case-Control Studies

2010 ◽  
Vol 69 (1) ◽  
pp. 14-27
Author(s):  
Jeesun Jung ◽  
Yiqiang Zhao
Keyword(s):  
Gene Interaction ◽  
Case Control ◽  
Case Control Studies

Case-Control Studies

2009 ◽  
Author(s):  
Ruth H. Keogh ◽  
D. R. Cox
Keyword(s):  
Case Control ◽  
Case Control Studies

Clinical Trials in Thrombosis: Secondary Prevention of Myocardial Infarction

1976 ◽  
Vol 35 (01) ◽  
pp. 049-056 ◽  
Author(s):  
Christian R Klimt ◽  
P. H Doub ◽  
Nancy H Doub
Keyword(s):  
Myocardial Infarction ◽  
Secondary Prevention ◽  
Case Control ◽  
Therapeutic Effects ◽  
Case Control Studies ◽  
Definitive Answer ◽  
Inhibition Of Platelet Aggregation ◽  
Prospective Trials

SummaryNumerous in vivo and in vitro experiments, investigating the inhibition of platelet aggregation and the prevention of experimentally-induced thrombosis, suggest that anti-platelet drugs, such as aspirin or the combination of aspirin and dipyridamole or sulfinpyrazone, may be effective anti-thrombotic agents in man. Since 1971, seven randomized prospective trials and two case-control studies have been referenced in the literature or are currently being conducted, which evaluate the effects of aspirin, sulfinpyrazone, or dipyridamole in combination with aspirin in the secondary prevention of myocardial infarction. A critical review of these trials indicates a range of evidence from no difference to a favorable trend that antiplatelet drugs may serve as anti-thrombotic agents in man. To date, a definitive answer concerning the therapeutic effects of these drugs in the secondary prevention of coronary heart disease is not available.

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