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Phenome-wide association study identifies new clinical phenotypes associated with Staphylococcus aureus infections
Patrick Allaire1, Noha S Elsayed1, Richard L Berg2
1Center for Precision Medicine Research, Marshfield Clinic Research Institute, Marshfield, Wisconsin, United States of America.
Plos One
|July 5, 2024
Summary
Phenome-Wide Association Studies (PheWAS) identified novel risk factors and complications of Staphylococcus aureus infections (SAIs). This study introduces a two-stage PheWAS approach for discovering disease-disease interactions.
Area of Science:
- Genetics and Genomics
- Epidemiology
- Clinical Informatics
Background:
- Phenome-Wide Association Studies (PheWAS) systematically screen medical records for phenotype associations.
- No prior systematic screening of phenotypes associated with Staphylococcus aureus infections (SAIs) has been conducted.
- Potential novel risk factors and complications of SAIs remain undiscovered.
Purpose of the Study:
- To identify novel phenotypes associated with Staphylococcus aureus infections (SAIs) using a tailored two-stage PheWAS approach.
- To discover new risk factors and complications of SAIs.
- To validate novel associations in independent patient cohorts.
Main Methods:
- A two-stage PheWAS screening procedure was developed.
- Stage one involved screening for co-occurrence of SAIs with other phenotypes.
- Stage two examined age of onset correlations; analysis used Marshfield Clinic Health System data (754,401 patients) and validated findings in TriNetX (109,884,571 patients) and All of Us (118,538 patients) cohorts.
Main Results:
- Forty-one phenotypes met significance criteria (p-value < 3.64e-5, OR > 5).
- Twenty-three associations were classified as risk factors or complications of SAIs.
- Three novel associations were discovered: long-term aspirin use (risk), iron deficiency anemia, and anemia of chronic disease (complications), with replication in validation cohorts.
Conclusions:
- The PheWAS of SAIs enhances understanding of interacting phenotypes.
- The novel two-stage PheWAS methodology can be applied to other disease-disease interaction studies.
- Findings require further investigation due to potential observational data biases.
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