African ancestry-enriched variants in the GATM gene are associated with elevated serum creatinine levels

Shivam Sharma1, Courtney A Astore1, Leonardo Mariño-Ramírez2

  • 1School of Biological Sciences, Georgia Institute of Technology, Atlanta, Georgia.

Insights

Higher serum creatinine (Scr) levels in individuals of African ancestry are explained by African ancestry-enriched variants that up-regulate the GATM gene. These genetic factors are key to understanding kidney function differences.

Area of Science:

  • Genetics
  • Nephrology
  • Population Health

Background:

  • Serum creatinine (Scr) is a standard measure of kidney function.
  • Individuals of African ancestry exhibit higher Scr levels than other groups, a difference not fully explained by known factors.

Purpose of the Study:

  • To investigate the hypothesis that African ancestry-enriched genetic variants are associated with elevated Scr levels.
  • To identify specific genetic variants contributing to higher Scr in individuals of African ancestry.

Main Methods:

  • Analysis of whole genome sequence data from 18,979 participants in the All of Us Research Program with African-European admixture.
  • Utilized genome-wide association studies (GWAS), haplotype-based admixture mapping, and ancestry-specific GWAS to identify Scr-associated variants.
  • Fine mapping and expression quantitative trait loci (eQTL) analysis to pinpoint causal variants and genes.

Main Results:

  • A significant association peak on chromosome 15 (15q23) was identified across multiple GWAS methods.
  • The lead variant (rs2467850) is African ancestry-enriched and positively associated with Scr levels.
  • 14 variants near the GATM gene were identified, with 13 positively associated with GATM expression and African ancestry-enrichment. An Scr polygenic score attenuated the ancestry-Scr association.

Conclusions:

  • African ancestry-enriched variants up-regulate the GATM gene, explaining higher Scr levels in individuals of African ancestry.
  • Genetic data can improve the calibration of kidney function equations for diverse populations.
  • Highlights the importance of considering genetic ancestry in clinical assessments of kidney health.
Abstract

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