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Related Concept Videos

Pedigree Analysis01:35

Pedigree Analysis

Overview
Gene Flow02:39

Gene Flow

Gene flow is the transfer of genes among populations, resulting from either the dispersal of gametes or from the migration of individuals.
Pedigree Analysis01:35

Pedigree Analysis

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Incomplete Dominance01:43

Incomplete Dominance

Gregor Mendel's work (1822 - 1884) was primarily focused on pea plants. Through his initial experiments, he determined that every gene in a diploid cell has two variants called alleles inherited from each parent. He suggested that amongst these two alleles, one allele is dominant in character and the other recessive. The combination of alleles determines the phenotype of a gene in an organism.
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...
Principles of Pharmacogenetics: Types of Genetic Variants01:27

Principles of Pharmacogenetics: Types of Genetic Variants

The human genome is over 99.9% identical between individuals, yet genetic differences exist at millions of bases. The human genome contains approximately 3 million variant positions per individual, many of which are heterozygous, contributing to genetic diversity and individual traits. Genetic variations include single-nucleotide polymorphisms (SNPs), insertions, deletions, and copy number variations (CNVs).SNPs, the most common variation, involve single-base changes in DNA. These can be...

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Related Experiment Video

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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

Key concepts in genetic epidemiology.

Paul R Burton1, Martin D Tobin, John L Hopper

  • 1Department of Health Sciences, University of Leicester, Leicester, UK. pb51@le.ac.uk

Lancet (London, England)
|September 13, 2005
PubMed
Summary

This article introduces a framework for studying genetic factors in complex diseases like diabetes. It integrates genetics and epidemiology to understand familial influences on disease causation.

Area of Science:

  • Genetic epidemiology
  • Complex disease genetics
  • Population science

Background:

  • Complex diseases like diabetes have significant familial components.
  • Understanding genetic determinants is crucial for disease etiology.
  • Integrating genetic and epidemiological approaches is essential.

Purpose of the Study:

  • To present a framework for investigating familial and genetic factors in complex disease causation.
  • To outline discrete steps integrating modern genetics and epidemiology.
  • To provide foundational concepts for a broad readership.

Main Methods:

  • Development of an integrated framework.
  • Combining principles of biological science (genetics) and population science (epidemiology).

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  • Introductory sections for diverse professional backgrounds.
  • Main Results:

    • A structured approach for genetic epidemiology research is proposed.
    • The framework facilitates the investigation of genetic determinants in complex diseases.
    • Basic concepts and vocabulary are provided for accessibility.

    Conclusions:

    • The presented framework offers a systematic approach to genetic epidemiology.
    • It bridges the gap between genetic discoveries and population health insights.
    • This work serves as an introduction to a series on central concepts in genetic epidemiology.