This protocol details the steps for data quality assessment and control that are typically
carried out during case-control association studies. The steps described involve the …

This protocol describes how to perform basic statistical analysis in a population-based
genetic association case-control study. The steps described involve the (i) appropriate …

A dense set of single nucleotide polymorphisms (SNP) covering the genome and an efficient
method to assess SNP genotypes are expected to be available in the near future. An …

The search for genes underlying complex traits has been difficult and often disappointing.
The main reason for these difficulties is that several genes, each with rather small effect …

This chapter is a comprehensive review of quality control (QC) methods for SNP-based
genotyping panels used in genome-wide association studies. These include QC on …

The main problems in drawing causal inferences from epidemiological case-control studies
are confounding by unmeasured extraneous factors, selection bias and differential …

Genetic association studies are used to find candidate genes or genome regions that
contribute to a specific disease by testing for a correlation between disease status and …

Case–control tests for association are an important tool for mapping complex-trait genes. But
population structure can invalidate this approach, leading to apparent associations at …

Population-based case-control studies are a useful method to test for a genetic association
between a trait and a marker. However, the analysis of the resulting data can be affected by …

Background Phenotype error causes reduction in power to detect genetic association. We
present a quantification of phenotype error, also known as diagnostic error, on power and …