Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Genome-wide Association Studies-GWAS

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...

Single Nucleotide Polymorphisms-SNPs

Single Nucleotide Polymorphisms-SNPs

A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...

Comparing Copy Number Variations and SNPs

Comparing Copy Number Variations and SNPs

Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...

Principles of Pharmacogenetics: Types of Genetic Variants

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...

Incomplete Dominance

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.

Behavioral Genetics and Its Designs

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...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Allelic association analyses: estimation recommendations.

Genetics·2026

Same author

Estimation of population-specific values of theta for PowerPlex Y23 profiles.

Forensic science international. Genetics·2024

Same author

Estimation of Jacquard's genetic identity coefficients with bi-allelic variants by constrained least-squares.

Heredity·2024

Same author

Detecting inbreeding depression in structured populations.

Proceedings of the National Academy of Sciences of the United States of America·2024

Same author

Correction: An allele-sharing, moment-based estimator of global, population-specific and population-pair FST under a general model of population structure.

PLoS genetics·2024

Same author

Sequence-based population structure, relatedness, and inbreeding estimates for forensic autosomal STR markers.

Forensic science international. Genetics·2024

Search research articles

Related Experiment Video

Updated: Jun 6, 2026

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

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

Published on: July 27, 2021

Statistical genetic issues for genome-wide association studies.

¹Department of Biostatistics, University of Washington, Box 357232, Seattle, WA 98195-7232, USA. bsweir@u.washington.edu

|November 16, 2010

Summary

Rapid genotyping advances enable plant association mapping. Quality control and quantitative genetics theory are crucial for analyzing Brassica SNP data, mirroring human studies.

Area of Science:

Genomics
Plant Science
Quantitative Genetics

Background:

Advancements in genotyping technology enable rapid, affordable generation of million Single Nucleotide Polymorphism (SNP) profiles.
Significant research activity in human association mapping is driven by these genotyping capabilities.
Similar advancements are anticipated for plant species, particularly Brassica, for genetic research.

Purpose of the Study:

To highlight the necessity of stringent quality control and quality assurance for plant association mapping.
To introduce the application of quantitative genetics theory to plant genetic analyses.
To prepare for the anticipated increase in plant association mapping studies.

Main Methods:

Review of current genotyping technologies and their application in human studies.

More Related Videos

Infinium Assay for Large-scale SNP Genotyping Applications

Infinium Assay for Large-scale SNP Genotyping Applications

Published on: November 19, 2013

Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay (EMSA) and DNA-affinity Precipitation Assay (DAPA)

Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay (EMSA) and DNA-affinity Precipitation Assay (DAPA)

Published on: August 21, 2016

Related Experiment Videos

Last Updated: Jun 6, 2026

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

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

Published on: July 27, 2021

Infinium Assay for Large-scale SNP Genotyping Applications

Infinium Assay for Large-scale SNP Genotyping Applications

Published on: November 19, 2013

Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay (EMSA) and DNA-affinity Precipitation Assay (DAPA)

Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay (EMSA) and DNA-affinity Precipitation Assay (DAPA)

Published on: August 21, 2016

Discussion of theoretical frameworks from quantitative genetics.

Adaptation of human genetic study principles for plant species.

Main Results:

Genotyping technology is now capable of generating large-scale SNP datasets for plants.
Established human genetic association mapping protocols require adaptation for plant species.
Quantitative genetics provides a robust theoretical foundation for analyzing plant genetic data.

Conclusions:

Plant association mapping will benefit significantly from high-density SNP data.
Rigorous quality control is essential for reliable plant genetic discoveries.
Quantitative genetics principles are directly applicable to Brassica and other plant genetic studies.