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...

You might also read

Related Articles

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

Sort by
Same author

Non-apoptotic caspase-8 is critical for orchestrating exaggerated inflammation during severe SARS-CoV-2 infection.

Nature communications·2025
Same author

Protection against severe infant lower respiratory tract infections by immune training: Mechanistic studies.

The Journal of allergy and clinical immunology·2022
Same author

Author Correction: Increased susceptibility of airway epithelial cells from ataxia-telangiectasia to S. pneumoniae infection due to oxidative damage and impaired innate immunity.

Scientific reports·2020
Same author

Immunoinflammatory responses to febrile lower respiratory infections in infants display uniquely complex/intense transcriptomic profiles.

The Journal of allergy and clinical immunology·2019
Same author

Primary prevention of severe lower respiratory illnesses in at-risk infants using the immunomodulator OM-85.

The Journal of allergy and clinical immunology·2019
Same author

Increased susceptibility of airway epithelial cells from ataxia-telangiectasia to S. pneumoniae infection due to oxidative damage and impaired innate immunity.

Scientific reports·2019
Same journal

Abstracts from Specialized Centers of Research Excellence (SCORE) on Sex Differences 2025 annual meeting.

BMC proceedings·2026
Same journal

Conference abstracts the 1st UDOM scientific conference on health: healthy lives and well-being for all: opportunities and challenges.

BMC proceedings·2026
Same journal

Entrepreneurship beyond the lab: commercializing your creative outputs.

BMC proceedings·2026
Same journal

The need to strengthen laboratory leadership, systems, and networks to enhance outbreak detection and resilience in Africa: proceedings of a regional workshop.

BMC proceedings·2026
Same journal

Abstracts from the Globesync Community Research and Sustainability 2025 (GlobeCoReS 2025).

BMC proceedings·2026
Same journal

Bauru International Craniofacial Symposium: Comprehensive Care, Policy and Advocacy Proceedings.

BMC proceedings·2026
See all related articles

Related Experiment Video

Updated: May 24, 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

LASSO model selection with post-processing for a genome-wide association study data set.

Allan J Motyer1, Chris McKendry, Sally Galbraith

  • 1Prince of Wales Clinical School, University of New South Wales, New South Wales 2052, Australia. a.motyer@unsw.edu.au.

BMC Proceedings
|March 1, 2012
PubMed
Summary
This summary is machine-generated.

Penalized regression with LASSO and stepwise selection improves identifying causal single-nucleotide polymorphisms in complex disease genome-wide association studies.

More Related Videos

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

Genetic Profiling and Genome-Scale Dropout Screening to Identify Therapeutic Targets in Mouse Models of Malignant Peripheral Nerve Sheath Tumor
09:33

Genetic Profiling and Genome-Scale Dropout Screening to Identify Therapeutic Targets in Mouse Models of Malignant Peripheral Nerve Sheath Tumor

Published on: August 25, 2023

Related Experiment Videos

Last Updated: May 24, 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 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

Genetic Profiling and Genome-Scale Dropout Screening to Identify Therapeutic Targets in Mouse Models of Malignant Peripheral Nerve Sheath Tumor
09:33

Genetic Profiling and Genome-Scale Dropout Screening to Identify Therapeutic Targets in Mouse Models of Malignant Peripheral Nerve Sheath Tumor

Published on: August 25, 2023

Area of Science:

  • Genetics
  • Statistical genetics
  • Bioinformatics

Background:

  • Genome-wide association studies (GWAS) generate vast amounts of data.
  • Analyzing all single-nucleotide polymorphisms (SNPs) simultaneously is crucial for complex disease research.
  • Existing model selection methods may not fully leverage GWAS data.

Purpose of the Study:

  • To evaluate a penalized regression approach for SNP selection in GWAS.
  • To investigate the efficacy of combining LASSO with stepwise selection for identifying causal SNPs.

Main Methods:

  • Utilized the LASSO (Least Absolute Shrinkage and Selection Operator) penalized regression technique.
  • Applied post-processing with stepwise selection to refine results from penalized regression.
  • Focused on simultaneous analysis of all SNPs in a complex disease context.

Main Results:

  • The combined approach of penalized regression and stepwise selection enhances SNP identification.
  • This method offers improved accuracy in pinpointing causal single-nucleotide polymorphisms.
  • Demonstrated the utility of this procedure for complex disease genetic studies.

Conclusions:

  • Post-processing LASSO results with stepwise selection is a valuable strategy for GWAS.
  • This enhanced model selection improves the identification of genetic variants associated with complex diseases.
  • The findings support a more comprehensive data utilization in genetic association studies.