High exposure variance enables candidate biomarker detection in a small EWAS of methylmercury-exposed Peruvian adults
Similar EWAS in global populations with known high exposure variance can be leveraged to develop targeted, custom sequencing panels and microarrays limited to replicated, validated biomarkers of a given exposure.
Authors
- Ian T. Ryde
- J. Jaime Miranda (ORCID: https://orcid.org/0000-0002-4738-5468)
- Joel N. Meyer (ORCID: https://orcid.org/0000-0003-1219-0983)
- William Pan (ORCID: https://orcid.org/0000-0002-7407-7399)
- Heileen Hsu‐Kim (ORCID: https://orcid.org/0000-0003-0675-4308)
- Luiza Perez (ORCID: https://orcid.org/0000-0002-3710-380X)
- Jaclyn M. Goodrich (ORCID: https://orcid.org/0000-0002-8289-9253)
- Caren Weinhouse (ORCID: https://orcid.org/0000-0002-1257-7267)
- Susan K. Murphy (ORCID: https://orcid.org/0000-0001-8298-7272)
Institutions
- Oregon Health & Science University (US)
- Duke University (US)
- Universidad Peruana Cayetano Heredia (PE)
- University of Michigan (US)
- Duke Institute for Health Innovation (US)
- Duke Medical Center (US)
- Sydney Local Health District (AU)
Publication Details
- Journal
- BMC Genomic Data
- Published
- 2025-09-29
- DOI
- https://doi.org/10.1186/s12863-025-01352-z
- Primary Topic
- Mercury impact and mitigation studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00