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

Multiple Allele Traits01:49

Multiple Allele Traits

37.8K
The Concept of Multiple Allelism
37.8K
Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

15.2K
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...
15.2K
Heritability01:06

Heritability

540
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"...
540
Epistasis Analysis01:09

Epistasis Analysis

5.6K
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...
5.6K

You might also read

Related Articles

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

Sort by
Same author

Comprehensive analysis of mitophagy-related genes reveals prognostic signatures in breast cancer: based on immune landscapes and treatment target predict.

Frontiers in immunology·2026
Same author

PETScan: score-based genome-wide association analysis of RNA-Seq and ATAC-Seq data.

Bioinformatics (Oxford, England)·2026
Same author

Combined developmental toxicity of organophosphorus flame retardant TCEP and lead on zebrafish.

Ecotoxicology and environmental safety·2026
Same author

Epigenetic Age Acceleration and Hearing Function in US Older Adults.

Ear and hearing·2026
Same author

Treponema pallidum lipoprotein Tp0768 promotes H3K18 Lactylation modification to target PTK2 and enhance endothelial permeability.

International immunopharmacology·2026
Same author

Study on the effects of zirconia restorations in oral prosthodontics on inflammatory factor levels and masticatory function.

Medicine·2026
Same journal

Applying Bayesian Multivariable Mendelian Randomisation to Prioritise Candidate Causal Traits From High-Dimensional Data: Illustration From Estimation of the Effect of Maternal Metabolites on Offspring Birthweight.

Genetic epidemiology·2026
Same journal

Individualized Bayesian Inference Identifies Novel Genetic Variants for Parkinson's Disease.

Genetic epidemiology·2026
Same journal

DRIVE v3: Command Line Application for Identity-by-Descent Haplotype Clustering in Large Biobank Scale Data.

Genetic epidemiology·2026
Same journal

Deep Unsupervised Domain Adaptation for Translating Cancer Dependency Maps From Cell Lines to Breast Cancer Tumor Genomics.

Genetic epidemiology·2026
Same journal

Polygenic Risk Scores for Incident Dementia in the Multi-Ethnic Study of Atherosclerosis.

Genetic epidemiology·2026
Same journal

Outcome and Exposure Polygenic Risk Scores Can Help Reduce Information Bias and Selection Bias in Regression Estimates From Biobank Data.

Genetic epidemiology·2026
See all related articles

Related Experiment Video

Updated: Jan 2, 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

4.7K

An efficient integrative resampling method for gene-trait association analysis.

Yeonil Kim1, Yueh-Yun Chi2, Fei Zou3

  • 1Early Development Statistics, Merck & Co., Inc., Rahway, New Jersey.

Genetic Epidemiology
|December 11, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces a flexible genetic association test to improve power for complex traits. The new method accurately identifies genetic variants, outperforming traditional single nucleotide polymorphism (SNP) analyses.

Keywords:
confounderefficient resamplinggenetic modelscore statistics-based bootstrappingsingle nucleotide polymorphisms

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

10.5K
Amplification, Next-generation Sequencing, and Genomic DNA Mapping of Retroviral Integration Sites
09:31

Amplification, Next-generation Sequencing, and Genomic DNA Mapping of Retroviral Integration Sites

Published on: March 22, 2016

18.3K

Related Experiment Videos

Last Updated: Jan 2, 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

4.7K
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

10.5K
Amplification, Next-generation Sequencing, and Genomic DNA Mapping of Retroviral Integration Sites
09:31

Amplification, Next-generation Sequencing, and Genomic DNA Mapping of Retroviral Integration Sites

Published on: March 22, 2016

18.3K

Area of Science:

  • Genetics
  • Statistical Genetics
  • Bioinformatics

Background:

  • Genetic association studies identify single nucleotide polymorphisms (SNPs) linked to complex traits.
  • Current methods test SNPs individually using assumed inheritance models (recessive, additive, dominant), risking reduced power if the model is incorrect.

Purpose of the Study:

  • To develop an integrative association test within a generalized linear model framework.
  • To flexibly model various genetic models beyond the common three, enhancing power and accuracy.

Main Methods:

  • Proposed an integrative association test procedure using a generalized linear model.
  • Employed a computationally efficient resampling method to estimate the null distribution of the test statistic.
  • Evaluated performance through simulations and application to real genetic studies.

Main Results:

  • The proposed method maintains Type I error rates, even with confounding covariates.
  • It achieves adequate statistical power compared to analyses using the true genetic model.
  • Successfully applied to studies on severe malaria resistance and sarcoidosis.

Conclusions:

  • The integrative association test offers a flexible and powerful approach for genetic association studies.
  • This method improves the identification of genetic variants associated with complex traits.
  • Applicable to diverse genetic architectures and real-world disease studies.