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Rheumatoid arthritis: GWAS or TMI?
1New York University School of Medicine, 550 First Avenue, New York, NY 10016, USA. cronsb01@med.nyu.edu.
Genome-wide association studies (GWAS) identify genetic links to diseases. However, an overwhelming number of studies finding small genetic risks may lead to "too much information" (TMI), diminishing their value, as seen in rheumatoid arthritis research.
Area of Science:
- Genetics
- Medical Research
- Epidemiology
Background:
- Genome-wide association studies (GWAS) are primary tools for identifying genetic variations linked to diseases.
- Large DNA banks enable detection of even minor genetic associations.
- The increasing volume of GWAS findings raises concerns about their practical utility.
Purpose of the Study:
- To discuss the implications of an increasing number of genetic associations identified through GWAS.
- To highlight the potential for "too much information" (TMI) in genetic research.
- To examine whether GWAS in rheumatoid arthritis exemplify this TMI phenomenon.
Main Methods:
- Review of current trends and concerns in genome-wide association studies.
- Analysis of the impact of identifying numerous small genetic risk associations.
- Case study consideration of recent rheumatoid arthritis genetic association research.
Main Results:
- GWAS can identify numerous genetic polymorphisms associated with diseases.
- The identification of associations with progressively smaller risks is becoming common.
- There is a growing concern that the sheer volume of findings may reduce their impact and value.
Conclusions:
- The rapid increase in GWAS findings, particularly those with marginal effects, may lead to a state of "too much information" (TMI).
- This TMI phenomenon could potentially diminish the perceived value and interest in genetic association research.
- Recent studies in rheumatoid arthritis suggest this trend may already be impacting the field.
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