Focal segmental glomerulosclerosis: genes and variants

Focal segmental glomerulosclerosis is linked to 4 analyzed proteins (NPHS1, COL4A4, NPHS2 and APOL1). 4 DNA variants are known to cause it; 25 more are uncertain, and 0 of those already look disease-causing on computable evidence.

Last updated 2026-09-30. Research information, not medical advice.

Also known as: Focal segmental glomerulosclerosis 4, susceptibility to; focal segmental glomerulosclerosis 9

Genes linked to Focal segmental glomerulosclerosis

Weakly linked (only a few uncertain records): DDX41, FAT1 and ITGB4.

Known disease-causing variants in Focal segmental glomerulosclerosis

VariantPositionProtein partClinical label
NPHS1 G867D867Ig-like C2-type 8Disease-causing (★★)
NPHS2 R238S238CytoplasmicDisease-causing (★★)
NPHS1 R367C367Ig-like C2-type 4Disease-causing (★★)
COL4A4 G864R864Triple-helical regionDisease-causing (★)

Same protein, different disease

Diseases related to Focal segmental glomerulosclerosis

Frequently asked questions

Which genes are linked to Focal segmental glomerulosclerosis?

In CATVariant, Focal segmental glomerulosclerosis is linked to 4 analyzed proteins: NPHS1 (Nephrin), COL4A4 (Collagen alpha-4(IV) chain), NPHS2 (Podocin) and APOL1 (Apolipoprotein L1).

How many genetic variants are linked to Focal segmental glomerulosclerosis?

33 variants: 4 are classified as disease-causing (pathogenic or likely pathogenic) in ClinVar and 25 are of uncertain significance or have conflicting reports.

Which uncertain variants in Focal segmental glomerulosclerosis look disease-causing?

None of the uncertain variants currently reaches the likely-pathogenic range on computable evidence alone.

About this data

Variant–disease links come from ClinVar, Open Targets and UniProt, pooled from the latest public CATVariant analysis of each human protein. Evidence scores use the ACMG/AMP Bayesian points scale with computable criteria only (position among known disease variants, rarity in gnomAD, calibrated predictors, deep mutational scanning); there is no family or patient data, so they prioritise variants for expert review and never classify them.

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