As genomes of many plant species have been sequenced, demand for functional genomics
has dramatically accelerated the improvement of other omics including metabolomics …

Genetic factors strongly affect susceptibility to common diseases and also influence disease-
related quantitative traits. Identifying the relevant genes has been difficult, in part because …

Fine-scale genetic variation between human populations is interesting as a signature of
historical demographic events and because of its potential for confounding disease studies …

Mendelian randomisation analyses use genetic variants as instrumental variables (IVs) to
estimate causal effects of modifiable risk factors on disease outcomes. Genetic variants …

Associations between modifiable exposures and disease seen in observational
epidemiology are sometimes confounded and thus misleading, despite our best efforts to …

Observational epidemiological studies suffer from many potential biases, from confounding
and from reverse causation, and this limits their ability to robustly identify causal …

A sample size with sufficient statistical power is critical to the success of genetic association
studies to detect causal genes of human complex diseases. Genome-wide association …

Background Association analysis is an alternative to conventional family-based methods to
detect the location of gene (s) or quantitative trait loci (QTL) and provides relatively high …

The cytochrome p450 enzyme, CYP2D6, metabolises approximately 20% of marketed
drugs. CYP2D6 multiple variants are associated with altered enzyme activities. Genoty** …

Behavioral Genetics, Fifth Edition provides an engaging and clear overview of human and
animal behavioral genetics that is designed to introduce students in the behavioral …