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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...
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Heritability01:06

Heritability

Heritability is a statistical concept that measures the degree to which genetic differences among individuals contribute to trait variations within a population. It is a fundamental idea in genetics, often prone to misinterpretation. Heritability is expressed as a percentage, reflecting the proportion of variation in a specific trait across a population that can be linked to genetic differences. However, it's important to understand that heritability does not determine how "genetic" a trait is,...
Longitudinal Research02:20

Longitudinal Research

Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...

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Related Experiment Video

Updated: Jun 6, 2026

Large-Scale Multi-Omics Genome-Wide Association Studies (Mo-GWAS): Guidelines for Sample Preparation and Normalization
08:27

Large-Scale Multi-Omics Genome-Wide Association Studies (Mo-GWAS): Guidelines for Sample Preparation and Normalization

Published on: July 27, 2021

Family-based association studies.

Frank Dudbridge1

  • 1Department Non-communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK. frank.dudbridge@mrc-bsu.cam.ac.uk

Methods in Molecular Biology (Clifton, N.J.)
|December 15, 2010
PubMed
Summary
This summary is machine-generated.

Family-based association studies offer robust genetic analysis by minimizing population stratification. The transmission/disequilibrium test (TDT) and its extensions provide powerful tools for linkage and association, even with complex family structures.

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A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information
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A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information

Published on: July 1, 2020

Related Experiment Videos

Last Updated: Jun 6, 2026

Large-Scale Multi-Omics Genome-Wide Association Studies (Mo-GWAS): Guidelines for Sample Preparation and Normalization
08:27

Large-Scale Multi-Omics Genome-Wide Association Studies (Mo-GWAS): Guidelines for Sample Preparation and Normalization

Published on: July 27, 2021

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information
05:01

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information

Published on: July 1, 2020

Area of Science:

  • Population Genetics
  • Statistical Genetics
  • Genetic Epidemiology

Background:

  • Family-based association methods provide superior case-control matching, mitigating population stratification confounding.
  • These methods enable the investigation of parent-of-origin effects and maternal-fetal interactions in genetic studies.

Purpose of the Study:

  • To highlight the advantages of family-based association studies in genetic research.
  • To discuss the transmission/disequilibrium test (TDT) and its extensions for linkage and association analysis.
  • To address potential challenges and solutions in applying these methods to complex family data.

Main Methods:

  • Utilized the transmission/disequilibrium test (TDT) as a core method for linkage and association.
  • Employed logistic regression for modifications accommodating multiallelic markers, haplotypes, and quantitative traits.
  • Considered scenarios with missing parental data, genotyping errors, and uncertain haplotype phase.

Main Results:

  • Demonstrated that family-based methods are not susceptible to population stratification.
  • Showcased the adaptability of the TDT through logistic regression for diverse genetic markers and traits.
  • Identified and discussed pitfalls related to incomplete data and phase uncertainty.

Conclusions:

  • Family-based association studies, particularly the TDT, are powerful for detecting genetic effects while controlling for confounding.
  • Extensions of the TDT provide flexibility for analyzing complex genetic data, including general pedigrees and sib pairs.
  • Careful consideration of data quality and analytical assumptions is crucial for reliable results in genetic association studies.