Related Experiment Video
Updated: Apr 19, 2026

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
Published on: June 21, 2018
Entropy-based method for assessing the influence of genetic markers and covariates on hypertension: application to
1Department of Clinical Epidemiology & Biostatistics, McMaster University, Hamilton, Ontario, Canada L8S 4K1.
Abstract:
Many complex diseases are related to genetics, and it is of great interest to evaluate the association between single-nucleotide polymorphisms (SNPs) and disease outcome. The association of genetics with outcome can be modified by covariates such as age, sex, smoking status, and membership to the same pedigree. In this paper, we propose a block entropy method to separate two classes of SNPs, for which the association with hypertension is either sensitive or insensitive to the covariates. We also propose a consistency entropy method to further reduce the number of SNPs that might be associated with the outcome. Based on the data provided by the organizers of Genetic Analysis Workshop 18, we calculated the block entropies for six different blocking strategies. Using block entropy and consistency entropy, we identified 230 SNPs on chromosome 9 that are most likely to be associated with the outcome and whose associations with hypertension are sensitive to the covariates.
Related Concept Videos
Human Genetics
The complex relationship between genetics and psychology is observable through common biological components such...
Hypertension and Regulation of Blood Pressure
Factors affecting Blood pressure
Physiological Factors:
Pharmacogenetic Phenotypes: Alterations in Pharmacokinetics, Drug Targets and Biologic Milieu
Hypertension III: Clinical Manifestations and Diagnostic Studies
Behavioral Genetics and Its Designs
The primary methodologies used in behavior genetics include family studies, twin studies, and adoption studies, each providing unique...