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Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
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Related Experiment Video

Updated: Dec 18, 2025

Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA

Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA

Published on: August 21, 2016

Complexities of Understanding Function from CKD-Associated DNA Variants.

Jennie Lin^1,2, Katalin Susztak^3,4

¹Division of Nephrology and Hypertension, Feinberg Cardiovascular and Renal Research Institute, Department of Medicine, Northwestern University, Chicago, Illinois.

Clinical Journal of the American Society of Nephrology : CJASN

|June 10, 2020

Summary

This summary is machine-generated.

Genome-wide association studies (GWASs) identify genomic loci linked to chronic kidney disease (CKD). Researchers are developing methods to pinpoint causal variants and cell types involved in CKD pathogenesis for better understanding and treatment.

Keywords:

Chronic Computational Biology DNA Genetic Association Studies Genome-Wide Association Study Genomics Kidney Genomics Series Renal Insufficiency

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Area of Science:

Genetics
Nephrology
Bioinformatics

Background:

Genome-wide association studies (GWASs) have identified numerous genetic loci associated with chronic kidney disease (CKD) and kidney function.
Most disease-associated DNA variants identified by GWASs are noncoding and their functional roles in CKD pathogenesis remain largely unknown.

Purpose of the Study:

To review the principles and current approaches for assigning functional significance to genotype-phenotype associations in CKD.
To highlight the importance of identifying causal variants, their target genes, and cell types in understanding CKD development.

Main Methods:

Review of existing literature on functional validation of GWAS findings.
Discussion of bioinformatics analyses and experimental studies (cellular and in vivo) for variant interpretation.

Main Results:

The majority of GWAS-identified variants are noncoding, necessitating functional studies to determine their role in CKD.
Identifying causal variants, target genes, and cell types is crucial for understanding CKD pathogenesis.

Conclusions:

Functional validation of genotype-phenotype associations is essential for advancing our understanding of CKD.
New data sets, complex bioinformatics, and experimental studies are required to elucidate the mechanisms driving CKD development.