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Updated: May 20, 2026

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
05:53

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Published on: June 21, 2018

Population-based case-control association studies.

Dana B Hancock1, William K Scott

  • 1Research Triangle Institute International, Research Triangle Park, North Carolina, USA.

Current Protocols in Human Genetics
|July 13, 2012
PubMed
Summary
This summary is machine-generated.

This unit explores population-based case-control studies for identifying genetic risk factors in complex diseases. It covers study designs, genetic association strategies, and statistical analysis methods for robust genetic epidemiology research.

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Last Updated: May 20, 2026

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
05:53

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Published on: June 21, 2018

Area of Science:

  • Genetic Epidemiology
  • Complex Disease Research

Background:

  • Population-based case-control studies are crucial for investigating genetic risk factors.
  • Complex diseases often involve intricate genetic and environmental interactions.

Purpose of the Study:

  • To provide an overview of designing and analyzing population-based case-control studies for genetic risk factors.
  • To emphasize considerations specific to genetic studies in complex diseases.

Main Methods:

  • Review of basic case-control study designs and differentiation from other study types.
  • Presentation of genetic association strategies: candidate gene, genome-wide association (GWA), and high-throughput sequencing.
  • Introduction to statistical analysis methods for case-control data and meta-analysis approaches.

Main Results:

  • Discussion of measures of association and impact for genetic risk factors.
  • Brief overview of handling admixed populations and controlling for confounding, including population stratification.
  • Consideration of multiple genetic loci, environmental risk factors, and complementary analyses (haplotypes, genes, pathways).

Conclusions:

  • Effective design and analysis of case-control studies are essential for advancing our understanding of genetic contributions to complex diseases.
  • This unit serves as a foundational guide, referencing broader epidemiological texts for comprehensive study conduct.