An eQTL Landscape of Kidney Tissue in Human Nephrotic Syndrome

Nephrotic Syndrome Study Network (NEPTUNE)

Research output: Contribution to journalArticle

21 Citations (Scopus)

Abstract

Expression quantitative trait loci (eQTL) studies illuminate the genetics of gene expression and, in disease research, can be particularly illuminating when using the tissues directly impacted by the condition. In nephrology, there is a paucity of eQTL studies of human kidney. Here, we used whole-genome sequencing (WGS) and microdissected glomerular (GLOM) and tubulointerstitial (TI) transcriptomes from 187 individuals with nephrotic syndrome (NS) to describe the eQTL landscape in these functionally distinct kidney structures. Using MatrixEQTL, we performed cis-eQTL analysis on GLOM (n = 136) and TI (n = 166). We used the Bayesian “Deterministic Approximation of Posteriors” (DAP) to fine-map these signals, eQTLBMA to discover GLOM- or TI-specific eQTLs, and single-cell RNA-seq data of control kidney tissue to identify the cell type specificity of significant eQTLs. We integrated eQTL data with an IgA Nephropathy (IgAN) GWAS to perform a transcriptome-wide association study (TWAS). We discovered 894 GLOM eQTLs and 1,767 TI eQTLs at FDR < 0.05. 14% and 19% of GLOM and TI eQTLs, respectively, had >1 independent signal associated with its expression. 12% and 26% of eQTLs were GLOM specific and TI specific, respectively. GLOM eQTLs were most significantly enriched in podocyte transcripts and TI eQTLs in proximal tubules. The IgAN TWAS identified significant GLOM and TI genes, primarily at the HLA region. In this study, we discovered GLOM and TI eQTLs, identified those that were tissue specific, deconvoluted them into cell-specific signals, and used them to characterize known GWAS alleles. These data are available for browsing and download via our eQTL browser, “nephQTL.”

Original languageEnglish (US)
Pages (from-to)232-244
Number of pages13
JournalAmerican Journal of Human Genetics
Volume103
Issue number2
DOIs
StatePublished - Aug 2 2018

Fingerprint

Quantitative Trait Loci
Nephrotic Syndrome
Kidney
Transcriptome
Genome-Wide Association Study
Immunoglobulin A
Podocytes
Nephrology
Alleles
Genome
RNA
Gene Expression
Research
Genes

Keywords

  • eQTL
  • expression quantitative trait loci
  • focal segmental glomerulosclerosis
  • genomics
  • glomerulus
  • kidney
  • minimal change disease
  • nephrotic syndrome
  • podocyte
  • proteinuria
  • single-cell RNA sequencing

ASJC Scopus subject areas

  • Genetics
  • Genetics(clinical)

Cite this

An eQTL Landscape of Kidney Tissue in Human Nephrotic Syndrome. / Nephrotic Syndrome Study Network (NEPTUNE).

In: American Journal of Human Genetics, Vol. 103, No. 2, 02.08.2018, p. 232-244.

Research output: Contribution to journalArticle

Nephrotic Syndrome Study Network (NEPTUNE). / An eQTL Landscape of Kidney Tissue in Human Nephrotic Syndrome. In: American Journal of Human Genetics. 2018 ; Vol. 103, No. 2. pp. 232-244.
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abstract = "Expression quantitative trait loci (eQTL) studies illuminate the genetics of gene expression and, in disease research, can be particularly illuminating when using the tissues directly impacted by the condition. In nephrology, there is a paucity of eQTL studies of human kidney. Here, we used whole-genome sequencing (WGS) and microdissected glomerular (GLOM) and tubulointerstitial (TI) transcriptomes from 187 individuals with nephrotic syndrome (NS) to describe the eQTL landscape in these functionally distinct kidney structures. Using MatrixEQTL, we performed cis-eQTL analysis on GLOM (n = 136) and TI (n = 166). We used the Bayesian “Deterministic Approximation of Posteriors” (DAP) to fine-map these signals, eQTLBMA to discover GLOM- or TI-specific eQTLs, and single-cell RNA-seq data of control kidney tissue to identify the cell type specificity of significant eQTLs. We integrated eQTL data with an IgA Nephropathy (IgAN) GWAS to perform a transcriptome-wide association study (TWAS). We discovered 894 GLOM eQTLs and 1,767 TI eQTLs at FDR < 0.05. 14{\%} and 19{\%} of GLOM and TI eQTLs, respectively, had >1 independent signal associated with its expression. 12{\%} and 26{\%} of eQTLs were GLOM specific and TI specific, respectively. GLOM eQTLs were most significantly enriched in podocyte transcripts and TI eQTLs in proximal tubules. The IgAN TWAS identified significant GLOM and TI genes, primarily at the HLA region. In this study, we discovered GLOM and TI eQTLs, identified those that were tissue specific, deconvoluted them into cell-specific signals, and used them to characterize known GWAS alleles. These data are available for browsing and download via our eQTL browser, “nephQTL.”",
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AU - Kopp, Jeffrey

AU - Castro-Rubio, Eveleyn

AU - Blake, Jodi

AU - Trachtman, Howard

AU - Zhdanova, Olga

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N2 - Expression quantitative trait loci (eQTL) studies illuminate the genetics of gene expression and, in disease research, can be particularly illuminating when using the tissues directly impacted by the condition. In nephrology, there is a paucity of eQTL studies of human kidney. Here, we used whole-genome sequencing (WGS) and microdissected glomerular (GLOM) and tubulointerstitial (TI) transcriptomes from 187 individuals with nephrotic syndrome (NS) to describe the eQTL landscape in these functionally distinct kidney structures. Using MatrixEQTL, we performed cis-eQTL analysis on GLOM (n = 136) and TI (n = 166). We used the Bayesian “Deterministic Approximation of Posteriors” (DAP) to fine-map these signals, eQTLBMA to discover GLOM- or TI-specific eQTLs, and single-cell RNA-seq data of control kidney tissue to identify the cell type specificity of significant eQTLs. We integrated eQTL data with an IgA Nephropathy (IgAN) GWAS to perform a transcriptome-wide association study (TWAS). We discovered 894 GLOM eQTLs and 1,767 TI eQTLs at FDR < 0.05. 14% and 19% of GLOM and TI eQTLs, respectively, had >1 independent signal associated with its expression. 12% and 26% of eQTLs were GLOM specific and TI specific, respectively. GLOM eQTLs were most significantly enriched in podocyte transcripts and TI eQTLs in proximal tubules. The IgAN TWAS identified significant GLOM and TI genes, primarily at the HLA region. In this study, we discovered GLOM and TI eQTLs, identified those that were tissue specific, deconvoluted them into cell-specific signals, and used them to characterize known GWAS alleles. These data are available for browsing and download via our eQTL browser, “nephQTL.”

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KW - genomics

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KW - minimal change disease

KW - nephrotic syndrome

KW - podocyte

KW - proteinuria

KW - single-cell RNA sequencing

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