Peptide ancestry informative markers in uterine neoplasms from women of European, African, and Asian ancestry

Nicholas W. Bateman*, Christopher M. Tarney, Tamara S. Abulez, Brian L. Hood, Kelly A. Conrads, Ming Zhou, Anthony R. Soltis, Pang Ning Teng, Amanda Jackson, Chunqiao Tian, Clifton L. Dalgard, Matthew D. Wilkerson, Michael D. Kessler, Zachary Goecker, Jeremy Loffredo, Craig D. Shriver, Hai Hu, Michele Cote, Glendon J. Parker, James SegarsAyman Al-Hendy, John I. Risinger, Neil T. Phippen, Yovanni Casablanca, Kathleen M. Darcy, G. Larry Maxwell, Thomas P. Conrads, Timothy D. O'Connor

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Scopus citations


Characterization of ancestry-linked peptide variants in disease-relevant patient tissues represents a foundational step to connect patient ancestry with disease pathogenesis. Nonsynonymous single-nucleotide polymorphisms encoding missense substitutions within tryptic peptides exhibiting high allele frequencies in European, African, and East Asian populations, termed peptide ancestry informative markers (pAIMs), were prioritized from 1000 genomes. In silico analysis identified that as few as 20 pAIMs can determine ancestry proportions similarly to >260K SNPs (R2 = 0.99). Multiplexed proteomic analysis of >100 human endometrial cancer cell lines and uterine leiomyoma tissues combined resulted in the quantitation of 62 pAIMs that correlate with patient race and genotype-confirmed ancestry. Candidates include a D451E substitution in GC vitamin D-binding protein previously associated with altered vitamin D levels in African and European populations. pAIMs will support generalized proteoancestry assessment as well as efforts investigating the impact of ancestry on the human proteome and how this relates to the pathogenesis of uterine neoplasms.

Original languageEnglish
Article number103665
Issue number1
StatePublished - 21 Jan 2022
Externally publishedYes


  • Genomics
  • Precision medicine
  • Proteogenomics
  • Proteomics


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