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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...
Sex Linked Disorders01:43

Sex Linked Disorders

Like autosomes, sex chromosomes contain a variety of genes necessary for normal body function. When a mutation in one of these genes results in biological deficits, the disorder is considered sex-linked.
The Ratio of X Chromosome to Autosomes02:45

The Ratio of X Chromosome to Autosomes

In most organisms, sex is determined by the ratio of X and Y chromosomes. However, in some organisms, such as Drosophila and C.elegans, sex is determined by the ratio of the number of X chromosomes to the number of sets of autosomes. The Y chromosome in Drosophila is active but does not determine sex. It contains genes responsible for the production of sperms in adult flies.  
Normal male Drosophila has a ratio of one X chromosome to two sets of autosomes. In contrast, normal female Drosophila...
Sex-linked Disorders01:43

Sex-linked Disorders

Like autosomes, sex chromosomes contain a variety of genes necessary for normal body function. When a mutation in one of these genes results in biological deficits, the disorder is considered sex-linked.
Human Genetics01:28

Human Genetics

Human genetics provides a profound framework for understanding the interplay between genetic predispositions and human psychology. At the heart of this discipline lies the study of how genes influence physical traits, behaviors, and susceptibility to diseases. Each person carries a unique genetic code that subtly or significantly shapes their psychological and behavioral landscape.
The complex relationship between genetics and psychology is observable through common biological components such...
Genetic Screens02:46

Genetic Screens

Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which result in visible changes...

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Related Experiment Video

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A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information
05:01

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information

Published on: July 1, 2020

Integrated genome-wide pathway association analysis with INTERSNP.

Christine Herold1, Manuel Mattheisen, André Lacour

  • 1German Center for Neurodegenerative Diseases (DZNE), University of Bonn, Bonn, Germany.

Human Heredity
|March 9, 2012
PubMed
Summary

Pathway association analysis (PAA) can outperform single-marker GWAS. New methods improve efficiency and accuracy for genetic association studies, aiding disease research.

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Area of Science:

  • Genetics and Bioinformatics
  • Statistical Genomics

Background:

  • Pathway association analysis (PAA) identifies excess moderately significant single nucleotide polymorphisms (SNPs) within common pathways.
  • Existing PAA methods often rely on competitive null hypotheses and require integration with genome-wide association study (GWAS) software.

Purpose of the Study:

  • To develop a novel Monte Carlo simulation framework for PAA using a self-contained null hypothesis.
  • To create a stand-alone implementation (INTERSNP) for PAA, reducing computational overhead.
  • To enhance PAA efficiency through parallelization, enabling large-scale power simulations.

Main Methods:

  • Developed a Monte Carlo simulation framework for PAA with a self-contained null hypothesis.
  • Implemented PAA in a stand-alone tool (INTERSNP) for efficiency.
  • Utilized OpenMP API for parallelization, significantly reducing computation time.
  • Accounted for linkage disequilibrium and residual inflation (λ).

Main Results:

  • PAA demonstrated superior performance compared to single-marker GWAS under realistic disease models.
  • PAA methods leveraging SNP association strength (GenGen, Fisher's combination test) generally outperformed ratio-based methods (ALIGATOR, SNP ratio).
  • A new PAA score was introduced, effectively modeling independent gene signals within a regression framework.

Conclusions:

  • The developed PAA framework offers a computationally efficient and robust approach for genetic association studies.
  • PAA methods, particularly those using SNP association strength, provide a powerful alternative to traditional single-marker GWAS.
  • The novel PAA score offers a balanced approach, combining advantages of existing methods for improved genetic discovery.