Admixture-mapping analysis reveals genetic determinants of the human plasma proteome
Protein profiling and genetic findings can be integrated to define the genetic architecture of the circulating proteome in chronic diseases. Most self-identified African American (AA) individuals have both African and European genetic ancestry. Admixture mapping can detect genomic association regions in which causal variants exist with substantial differences in allele frequency or effect sizes between genetic ancestries. We performed admixture mapping of the circulating proteome in 1,989 participants from the Jackson Heart Study (JHS), investigating the relation of local African ancestry within genomic regions with levels of circulating proteins. We conditioned protein-local ancestry association models on variants previously found to be associated with those proteins in genome-wide association studies (GWASs). We replicated findings in 196 AA participants from the Multi-Ethnic Study of Atherosclerosis (MESA). 62 proteins were associated with local African ancestry. 21 of 62 remained statistically significant after conditioning on protein-associated variants observed in previous GWASs. 48 of 54 available protein-local ancestry associations were replicated in the MESA. Proteins associated with local African ancestry included chemokines, factors associated with vascular biology and inflammation, and other biologically interesting proteins. Admixture associations unexplained by previously reported protein-associated variants in conditional analysis suggest the existence of causal variants missed by standard GWAS techniques.
Authors
- Mariah Meyer (ORCID: https://orcid.org/0000-0001-9635-5196)
- Daniel E. Cruz (ORCID: https://orcid.org/0000-0002-2576-7051)
- Usman A. Tahir (ORCID: https://orcid.org/0000-0002-3657-6082)
- Kent D. Taylor (ORCID: https://orcid.org/0000-0002-2756-4370)
- Laurie Farrell (ORCID: https://orcid.org/0000-0002-5717-527X)
- Tamar Sofer (ORCID: https://orcid.org/0000-0001-8520-8860)
- Mark D. Benson (ORCID: https://orcid.org/0000-0001-8977-2389)
- Jerome I. Rotter (ORCID: https://orcid.org/0000-0001-7191-1723)
- Shuliang Deng (ORCID: https://orcid.org/0000-0002-1543-2733)
- Laura M. Raffield (ORCID: https://orcid.org/0000-0002-7892-193X)
- Ani Manichaikul
- Russell P. Tracy (ORCID: https://orcid.org/0000-0002-0080-2420)
- Robert E. Gerszten (ORCID: https://orcid.org/0000-0002-6767-7687)
- Ethan M. Lange (ORCID: https://orcid.org/0000-0001-7075-4287)
- Michael E. Hall (ORCID: https://orcid.org/0000-0002-5733-1025)
- Dongxiao Shen (ORCID: https://orcid.org/0000-0003-4164-0402)
- Stephen S. Rich
- Zsu‐Zsu Chen (ORCID: https://orcid.org/0000-0001-9441-675X)
- Bjoernar Tuftin (ORCID: https://orcid.org/0009-0001-6486-3708)
- Jiawen Chen (ORCID: https://orcid.org/0000-0001-7101-3034)
- James G. Wilson (ORCID: https://orcid.org/0009-0002-0283-2970)
- Yan Gao
Institutions
- University of Vermont (US)
- University of North Carolina at Chapel Hill (US)
- Beth Israel Deaconess Medical Center (US)
- Harvard University (US)
- UCLA Medical Center (US)
- Jackson Memorial Hospital (US)
- University of Mississippi Medical Center (US)
- Harbor–UCLA Medical Center (US)
- University of Virginia (US)
- University of Colorado Anschutz Medical Campus (US)
Publication Details
- Journal
- Human Genetics and Genomics Advances
- Published
- 2025-10-09
- DOI
- https://doi.org/10.1016/j.xhgg.2025.100529
- Primary Topic
- Advanced Proteomics Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00