Novel Genomic Variants in Diabetic Nephropathy Patients from Saudi Arabia

Rashid Mir's 2026 pilot investigation provides whole-exome sequencing data from 26 diabetic nephropathy patients in Tabuk, Saudi Arabia. The study identifies candidate genes and novel missense variants potentially linked to diabetic nephropathy, using data analyzed on the Illumina NovaSeq 6000 platform. It includes findings on genes like THADA, NOTCH4, TNXB, SP2, CDH3, and ARFGEF2.

Use Cases

• Analyze identified novel missense variations in the SRCAP, PHKG2, TNFRSF6B, and PBX2 genes for association with diabetic nephropathy.
• Investigate pathway enrichment for inflammatory, PI3K-Akt, insulin, and AMPK signaling pathways using the gene list.
• Compare genetic variations in DN-specific genes (SP2, CDH3, ARFGEF2) against shared genes (INSR, HLA-DQB1, CRHR1) to distinguish DN from general T2D risk.
• Validate candidate genes THADA, NOTCH4, and TNXB that met the genome-wide significance threshold in this cohort.

Strengths

• Data sourced from whole-exome sequencing performed on the Illumina NovaSeq 6000 platform, a standard for high-throughput genomics.
• Analysis utilized an array of established bioinformatic tools including GATK, SAMtools, and Gene Ontology.
• Dataset is openly shared under a CC BY 4.0 license, permitting reuse and redistribution.

Limitations

• Small sample size of 26 patients limits statistical power and generalizability of findings.
• As a pilot investigation, identified genetic variants require validation in large-scale cohorts and functional studies.
• Geographic focus on patients from Tabuk, Saudi Arabia, may introduce population-specific biases.

Provenance

Source

figshare, authored by Rashid Mir.

Collection Method

Whole-exome sequencing of clinically diagnosed diabetic nephropathy patients, analyzed with bioinformatic pipelines.

Time Range

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Freshness

Last updated March 2026.

Geography

Tabuk, Saudi Arabia.