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Discovery of genomic and transcriptomic pleiotropy between kidney function and soluble receptor for advanced glycation end products using correlated meta-analyses: The Long Life Family Study.

Publication ,  Journal Article
Feitosa, MF; Lin, SJ; Acharya, S; Thyagarajan, B; Wojczynski, MK; Kuipers, AL; Kulminski, A; Christensen, K; Zmuda, JM; Brent, MR; Province, MA
Published in: Aging cell
October 2024

Patients with chronic kidney disease (CKD) have increased oxidative stress and chronic inflammation, which may escalate the production of advanced glycation end-products (AGEs). High soluble receptor for AGE (sRAGE) and low estimated glomerular filtration rate (eGFR) levels are associated with CKD and aging. We evaluated whether eGFR calculated from creatinine and cystatin C share pleiotropic genetic factors with sRAGE. We employed whole-genome sequencing and correlated meta-analyses on combined genome-wide association study (GWAS) p-values in 4182 individuals (age range: 24-110) from the Long Life Family Study (LLFS). We also conducted transcriptome-wide association studies (TWAS) on whole blood in a subset of 1209 individuals. We identified 59 pleiotropic GWAS loci (p < 5 × 10-8) and 17 TWAS genes (Bonferroni-p < 2.73 × 10-6) for eGFR traits and sRAGE. TWAS genes, LSP1 and MIR23AHG, were associated with eGFR and sRAGE located within GWAS loci, lncRNA-KCNQ1OT1 and CACNA1A/CCDC130, respectively. GWAS variants were eQTLs in the kidney glomeruli and tubules, and GWAS genes predicted kidney carcinoma. TWAS genes harbored eQTLs in the kidney, predicted kidney carcinoma, and connected enhancer-promoter variants with kidney function-related phenotypes at p < 5 × 10-8. Additionally, higher allele frequencies of protective variants for eGFR traits were detected in LLFS than in ALFA-Europeans and TOPMed, suggesting better kidney function in healthy-aging LLFS than in general populations. Integrating genomic annotation and transcriptional gene activity revealed the enrichment of genetic elements in kidney function and aging-related processes. The identified pleiotropic loci and gene expressions for eGFR and sRAGE suggest their underlying shared genetic effects and highlight their roles in kidney- and aging-related signaling pathways.

Duke Scholars

Published In

Aging cell

DOI

EISSN

1474-9726

ISSN

1474-9718

Publication Date

October 2024

Volume

23

Issue

10

Start / End Page

e14261

Related Subject Headings

  • Young Adult
  • Transcriptome
  • Renal Insufficiency, Chronic
  • Receptor for Advanced Glycation End Products
  • Middle Aged
  • Male
  • Kidney
  • Humans
  • Glomerular Filtration Rate
  • Genomics
 

Citation

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MLA
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Feitosa, M. F., Lin, S. J., Acharya, S., Thyagarajan, B., Wojczynski, M. K., Kuipers, A. L., … Province, M. A. (2024). Discovery of genomic and transcriptomic pleiotropy between kidney function and soluble receptor for advanced glycation end products using correlated meta-analyses: The Long Life Family Study. Aging Cell, 23(10), e14261. https://doi.org/10.1111/acel.14261
Feitosa, Mary F., Shiow J. Lin, Sandeep Acharya, Bharat Thyagarajan, Mary K. Wojczynski, Allison L. Kuipers, Alexander Kulminski, et al. “Discovery of genomic and transcriptomic pleiotropy between kidney function and soluble receptor for advanced glycation end products using correlated meta-analyses: The Long Life Family Study.Aging Cell 23, no. 10 (October 2024): e14261. https://doi.org/10.1111/acel.14261.
Feitosa MF, Lin SJ, Acharya S, Thyagarajan B, Wojczynski MK, Kuipers AL, Kulminski A, Christensen K, Zmuda JM, Brent MR, Province MA. Discovery of genomic and transcriptomic pleiotropy between kidney function and soluble receptor for advanced glycation end products using correlated meta-analyses: The Long Life Family Study. Aging cell. 2024 Oct;23(10):e14261.
Journal cover image

Published In

Aging cell

DOI

EISSN

1474-9726

ISSN

1474-9718

Publication Date

October 2024

Volume

23

Issue

10

Start / End Page

e14261

Related Subject Headings

  • Young Adult
  • Transcriptome
  • Renal Insufficiency, Chronic
  • Receptor for Advanced Glycation End Products
  • Middle Aged
  • Male
  • Kidney
  • Humans
  • Glomerular Filtration Rate
  • Genomics