Moving beyond GWAS and eQTL Analysis to Validated Hits in Chronic Kidney Disease

Müller-Deile J, Jobst-Schwan T, Schiffer M (2019)

Publication Type: Journal article

Publication year: 2019

Journal

Cell Metabolism Elsevier (Cell Press)

Book Volume: 29

Pages Range: 9-10

Journal Issue: 1

DOI: 10.1016/j.cmet.2018.12.009

Abstract

Genome-wide association studies (GWAS) have identified multiple chronic kidney disease (CKD)-associated single-nucleotide polymorphisms (SNPs) mainly localized to non-coding genomic regions. To understand which genes and which cell types are affected by these genetic variants, compartment-specific transcriptome, genome, and epigenome data were analyzed in an integrative manner in a recent study by Qiu et al. (Qiu et al., 2018).

Authors with CRIS profile

Janina Müller-Deile Department of Medicine 4 – Nephrology and Hypertension Tilman Jobst-Schwan Department of Medicine 4 – Nephrology and Hypertension Mario Schiffer Lehrstuhl für Innere Medizin IV

How to cite

APA:

Müller-Deile, J., Jobst-Schwan, T., & Schiffer, M. (2019). Moving beyond GWAS and eQTL Analysis to Validated Hits in Chronic Kidney Disease. Cell Metabolism, 29(1), 9-10. https://doi.org/10.1016/j.cmet.2018.12.009

MLA:

Müller-Deile, Janina, Tilman Jobst-Schwan, and Mario Schiffer. "Moving beyond GWAS and eQTL Analysis to Validated Hits in Chronic Kidney Disease." Cell Metabolism 29.1 (2019): 9-10.

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