A survey of the population genetic variation in the human kinome

Wei Zhang1, Daniel V T Catenacci, Shiwei Duan

  • 1Department of Medicine, The University of Chicago, Chicago, IL 60637, USA.

Insights

Human protein kinases show more population-specific genetic variants than their ligands, suggesting adaptation. This genetic variation in kinases may drive health disparities and inform personalized cancer medicine.

Area of Science:

  • Genomics
  • Molecular Evolution
  • Pharmacogenomics

Background:

  • Protein kinases regulate critical cellular functions and are key targets for cancer therapeutics.
  • Observed health disparities, including differential drug responses, exist between human populations.
  • Investigating population-specific genetic variations in kinases and ligands can elucidate health disparities and guide personalized medicine.

Purpose of the Study:

  • To identify population-specific genetic variants (eSNPs) in human protein kinases and their ligand genes.
  • To explore the evolutionary pressures acting on kinases and ligands.
  • To understand the genetic basis of population-specific health disparities in relation to kinase signaling pathways.

Main Methods:

  • Utilized the International HapMap Project genotypic data for single-nucleotide polymorphisms (SNPs).
  • Scanned the human kinome and experimentally verified ligand genes for population-specific SNPs (eSNPs).
  • Compared the proportion of eSNPs in kinases and ligands against the whole genome background.

Main Results:

  • Protein kinases exhibited a significantly higher proportion of eSNPs compared to the whole genome.
  • Ligand genes did not show a different proportion of eSNPs compared to the whole genome background.
  • Human kinases appear to be under stronger recent positive selection than their ligands.

Conclusions:

  • Genetic variation in human kinase genes, rather than their ligands, is more likely to drive health disparities in kinase signaling pathways.
  • Molecular evolution of the human kinome offers insights into ethnic differences in cancer.
  • Findings support the development of ethnicity-based individualized medicine for cancer treatment.

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