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Related Concept Videos

Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
Behavioral Genetics and Its Designs01:23

Behavioral Genetics and Its Designs

Behavior genetics explores how genetic inheritance influences human behavior. It focuses on how genes, passed from parents to offspring, contribute to the development of behavioral traits and tendencies. This branch of genetics seeks to understand the complex interplay between inherited genetic factors and environmental influences in shaping our behaviors.
The primary methodologies used in behavior genetics include family studies, twin studies, and adoption studies, each providing unique...
Study Designs in Epidemiology01:20

Study Designs in Epidemiology

Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and case-control studies.
Genomics02:02

Genomics

Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...

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Related Experiment Video

Updated: Jun 5, 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

[Using two-stage case-control designs to study the genome-wide association].

Zhao-jun Ma1, Hong-gang Yi, Yang Zhao

  • 1Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 210029, China.

Zhonghua Liu Xing Bing Xue Za Zhi = Zhonghua Liuxingbingxue Zazhi
|December 18, 2010
PubMed
Summary

Genome-wide association studies use a cost-effective two-stage design to find genetic disease links. This method efficiently identifies common genetic variants associated with various human diseases.

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Area of Science:

  • Genetics
  • Biostatistics
  • Epidemiology

Context:

  • Genome-wide association studies (GWAS) are crucial for identifying genetic variants linked to human diseases.
  • The high cost of genotyping necessitates efficient study designs for large-scale genetic research.

Purpose:

  • To elucidate the principles, implementation steps, and application features of the two-stage case-control design in GWAS.
  • To provide a clear methodological framework for conducting cost-effective GWAS.

Summary:

  • This paper details the two-stage case-control design, a strategy employed to mitigate the high costs associated with comprehensive genotyping in GWAS.
  • It outlines the fundamental concepts, practical implementation, and specific characteristics of this design within the context of GWAS.
  • An illustrative example is provided to demonstrate the application of the described method.

Impact:

  • Enables more accessible and widespread application of GWAS for disease gene discovery.
  • Facilitates the identification of common genetic variants contributing to human health and disease.
  • Supports researchers in designing and executing cost-efficient genetic association studies.