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Related Experiment Video

Updated: Jul 5, 2026

Large-Scale Multi-Omics Genome-Wide Association Studies (Mo-GWAS): Guidelines for Sample Preparation and Normalization

Large-Scale Multi-Omics Genome-Wide Association Studies (Mo-GWAS): Guidelines for Sample Preparation and Normalization

Published on: July 27, 2021

Assessing genotype x environment interaction in linkage mapping using affected sib pairs.

Yi-Shin Chen¹, Yen-Feng Chiu, Hui-Yi Kao

¹Department of Nursing, Yuanpei University, No, 306, Yuanpei Street, Hsinchu 30015, Taiwan, Republic of China. boivan@mail.ypu.edu.tw

BMC Proceedings

|May 10, 2008

Summary

Incorporating smoking status into genetic analyses for rheumatoid arthritis (RA) revealed stronger genetic effects in current smokers. This approach enhances the power to identify genes contributing to RA etiology.

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Published on: August 12, 2019

Area of Science:

Genetics
Rheumatology
Environmental Health

Background:

Rheumatoid arthritis (RA) is a complex autoimmune disease with unknown etiology.
Both genetic and environmental factors are implicated in RA development.
Understanding RA's causes is crucial for effective prevention and treatment.

Purpose of the Study:

To investigate the interaction between genetic susceptibility and smoking in rheumatoid arthritis.
To identify specific chromosomal regions linked to RA, considering smoking status.
To enhance the statistical power of genetic linkage analysis for complex diseases.

Main Methods:

Utilized autosomal multipoint linkage scans in affected sibling pairs.
Stratified analysis based on smoking status: ever, current, and never smokers.
Assessed gene-smoking interactions through linkage mapping.

Main Results:

Chromosome 6p21.2-3 showed a two-fold greater genetic effect in concordant current smokers compared to non-current smokers or discordant pairs.
Incorporating smoking status identified additional linkage regions on chromosomes 4q and 20q.
Linkage evidence persisted on chromosomes 6p, 8p, and 9p, with varying interaction effects.

Conclusions:

Considering smoking status in linkage analysis increases statistical power for identifying RA susceptibility genes.
Smoking significantly interacts with genetic factors in rheumatoid arthritis.
This refined approach aids in elucidating the complex etiology of rheumatoid arthritis.