Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

15.3K
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...
15.3K
Multiple Allele Traits01:49

Multiple Allele Traits

38.0K
The Concept of Multiple Allelism
38.0K
Epistasis Analysis01:09

Epistasis Analysis

5.7K
Although Mendel chose seven unrelated traits in peas to study gene segregation, most traits involve multiple gene interactions that create a spectrum of phenotypes. When the interaction of various genes or alleles at different locations influences a phenotype, this is called epistasis. Epistasis often involves one gene masking or interfering with the expression of another (antagonistic epistasis). Epistasis often occurs when different genes are part of the same biochemical pathway. The...
5.7K
Polygenic Traits01:18

Polygenic Traits

68.9K
When more than one gene is responsible for a given phenotype, the trait is considered polygenic. Human height is a polygenic trait. Studies have uncovered hundreds of loci that influence height, and there are believed to be many more. Due to the high number of genes involved, as well as environmental and nutritional factors, height varies significantly within a given population. The distribution of height forms a bell-shaped curve, with relatively few individuals in the population at the...
68.9K
Incomplete Dominance01:43

Incomplete Dominance

29.7K
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.
29.7K
Single Nucleotide Polymorphisms-SNPs01:05

Single Nucleotide Polymorphisms-SNPs

17.9K
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,...
17.9K

You might also read

Related Articles

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

Sort by
Same author

A comprehensive survey of data-driven technologies for construction solid waste recycling systems.

Waste management (New York, N.Y.)·2026
Same author

Data Resource Profile: Cheeloo Lifespan Electronic-health reseArch Data-library (Cheeloo LEAD).

International journal of epidemiology·2026
Same author

Seven-step handwashing recognition based on multi-angle information fusion from dual millimeter-wave radars.

International journal of hygiene and environmental health·2026
Same author

Non-covalent interactions between whey protein isolate and taxifolin and their potential application in yogurt.

Food chemistry: X·2026
Same author

Global complications among patients with mpox: a systematic review and meta-analysis.

EClinicalMedicine·2026
Same author

Integrative omics analysis incorporating cardiovascular magnetic resonance imaging pinpoints potentially druggable plasma proteins for cardiovascular diseases.

Life metabolism·2026

Related Experiment Video

Updated: Jan 18, 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

4.8K

Comparing partial least square approaches in a gene- or region-based association study for multiple quantitative

Zhongshang Yuan1, Xiaoshuai Zhang1, Fangyu Li1

  • 1Department of Epidemiology and Biostatistics, School of Public Health, Shandong University, Shandong, China.

Human Biology
|November 18, 2014
PubMed
Summary

This study introduces novel statistical methods for analyzing complex diseases by examining multiple genetic variations (SNPs) and multiple quantitative traits simultaneously. These advanced partial least square (PLS) regression techniques improve the dissection of genetic underpinnings for diseases with diverse manifestations.

More Related Videos

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

10.6K
An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations
10:17

An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations

Published on: November 3, 2010

23.3K

Related Experiment Videos

Last Updated: Jan 18, 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

4.8K
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

10.6K
An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations
10:17

An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations

Published on: November 3, 2010

23.3K

Area of Science:

  • Genetics
  • Biostatistics
  • Complex Disease Research

Background:

  • Complex diseases involve multiple genetic factors and quantitative traits, posing challenges for traditional association studies.
  • Existing statistical methods for gene-trait associations often focus on single traits or single genetic markers.
  • Partial least square (PLS) approaches offer advantages in power for gene/region association studies, but their application to multiple traits is underexplored.

Purpose of the Study:

  • To develop and assess novel statistical methods for exploring associations between multiple single-nucleotide polymorphisms (SNPs) and multiple quantitative traits.
  • To evaluate the performance of proposed PLS-based scan statistics for multi-trait association studies.
  • To compare the efficacy of new methods against existing approaches in genetic research.

Main Methods:

  • Utilized regression-based exhaustive scan statistics (sliding window) incorporating PLS and sparse PLS regressions.
  • Conducted simulations to rigorously assess the performance and power of the developed scan statistics.
  • Applied the novel methods to analyze genome-wide association study data from the European Prospective Investigation of Cancer-Norfolk study.

Main Results:

  • The proposed PLS and sparse PLS regression methods demonstrated effectiveness in identifying associations between multiple SNPs and multiple quantitative traits.
  • Simulations indicated that the developed scan statistics perform well and offer advantages in detecting genetic associations.
  • The methods were successfully applied to real-world genetic data, highlighting their practical utility.

Conclusions:

  • The developed PLS-based scan statistics provide a powerful framework for dissecting the genetic architecture of complex diseases with multiple quantitative traits.
  • These methods enhance the ability to identify complex genetic mechanisms underlying multifactorial conditions.
  • The study offers valuable tools for genetic association studies, particularly in large-scale epidemiological datasets.