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

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...
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
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...
Hardy-Weinberg Principle01:49

Hardy-Weinberg Principle

Diploid organisms have two alleles of each gene, one from each parent, in their somatic cells. Therefore, each individual contributes two alleles to the gene pool of the population. The gene pool of a population is the sum of every allele of all genes within that population and has some degree of variation. Genetic variation is typically expressed as a relative frequency, which is the percentage of the total population that has a given allele, genotype or phenotype.In the early 20th century,...
Comparing Copy Number Variations and SNPs02:26

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%...
Genetic Variation01:25

Genetic Variation

Genetic variation is the diversity in DNA sequences found among individuals of the same species. This diversity is crucial for a species' survival because it helps organisms adapt to environmental changes. Genetic variation begins with fertilization, where an egg and sperm cell merge. Each of these cells carries 23 chromosomes, up to 46 in the fertilized egg. Chromosomes are long DNA strands that contain genes, the basic units of heredity.
Genes exist in different versions called alleles, which...

You might also read

Related Articles

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

Sort by
Same author

A novel genomic region on chromosome 11 associated with fearfulness in dogs.

Translational psychiatry·2020
Same author

Two novel genomic regions associated with fearfulness in dogs overlap human neuropsychiatric loci.

Translational psychiatry·2019
Same author

Genetic heterogeneity underlying variation in a locally adaptive clinal trait in Pinus sylvestris revealed by a Bayesian multipopulation analysis.

Heredity·2016
Same author

A robust multiple-locus method for quantitative trait locus analysis of non-normally distributed multiple traits.

Heredity·2015
Same author

Using the unified relationship matrix adjusted by breed-wise allele frequencies in genomic evaluation of a multibreed population.

Journal of dairy science·2013
Same author

Combined linkage disequilibrium and linkage mapping: Bayesian multilocus approach.

Heredity·2013

Related Experiment Video

Updated: Jun 23, 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

Correcting for relatedness in Bayesian models for genomic data association analysis.

P Pikkuhookana1, M J Sillanpää

  • 1Department of Mathematics and Statistics, Rolf Nevanlinna Institute, University of Helsinki, Helsinki, Finland.

Heredity
|May 21, 2009
PubMed
Summary

For small pedigrees, Bayesian association analysis benefits from relatedness corrections. The covariate model outperforms the infinite polygenic model in small datasets, offering better relatedness correction for genetic studies.

More Related Videos

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types
12:39

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types

Published on: December 10, 2012

Related Experiment Videos

Last Updated: Jun 23, 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 Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types
12:39

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types

Published on: December 10, 2012

Area of Science:

  • Genetics
  • Statistical Genetics
  • Bioinformatics

Background:

  • Population-based association analyses require accounting for genetic relatedness.
  • Small pedigrees present unique challenges for accurate relatedness correction.
  • Existing methods for relatedness correction may not be optimal for limited sample sizes.

Purpose of the Study:

  • To compare two relatedness correction methods in population-based Bayesian multilocus association analysis for small pedigrees.
  • To evaluate the performance of these corrections within clinical quantitative trait locus (cQTL) models.
  • To determine the most effective relatedness correction strategy for small datasets with low heritability.

Main Methods:

  • Utilized simulated and real marker and gene-expression data from CEPH families.
  • Employed Bayesian multilocus association analysis incorporating two relatedness correction strategies: infinite polygenic model and Bonney's class D covariate model.
  • Applied clinical quantitative trait locus (cQTL) models, jointly analyzing marker data, gene expression, and genotype-by-expression interactions.

Main Results:

  • Clinical quantitative trait locus (cQTL) models inherently incorporate small-effect components that provide relatedness correction, irrespective of explicit correction terms.
  • The covariate model demonstrated superior performance compared to the infinite polygenic model in small data scenarios.
  • Both correction methods showed comparable results when small-effect components were present in the cQTL models.

Conclusions:

  • For small pedigrees and low heritability, the covariate model is a more effective relatedness correction method than the infinite polygenic model.
  • The inherent structure of cQTL models offers a degree of relatedness correction.
  • Careful consideration of relatedness correction is crucial for robust association analysis in small genetic studies.