Diabetes mellitus, permanent neonatal 3: genes and variants

Diabetes mellitus, permanent neonatal 3 is linked to 3 analyzed proteins (ABCC8, INS and KCNJ11). 35 DNA variants are known to cause it; 54 more are uncertain, and 1 of those already look disease-causing on computable evidence.

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

Also known as: diabetes mellitus, permanent neonatal 2; diabetes mellitus, permanent neonatal 4

Genes linked to Diabetes mellitus, permanent neonatal 3

Where Diabetes mellitus, permanent neonatal 3 variants cluster

Known disease-causing variants in Diabetes mellitus, permanent neonatal 3

VariantPositionProtein partClinical label
ABCC8 R1352P1352ABC transporter 2Disease-causing (★★)
ABCC8 R1393C1393ABC transporter 2Disease-causing (★★)
ABCC8 P1413L1413ABC transporter 2Disease-causing (★★)
ABCC8 R1420C1420ABC transporter 2Disease-causing (★★)
ABCC8 R1493W1493ABC transporter 2Disease-causing (★★)
INS C96F96Disease-causing (★★)
INS C96R96Disease-causing (★★)
INS C96S96Disease-causing (★★)
INS C96Y96Disease-causing (★★)
ABCC8 R168C168ExtracellularDisease-causing (★★)
KCNJ11 E282K282CytoplasmicDisease-causing (★★)
ABCC8 V607M607CytoplasmicDisease-causing (★★)
ABCC8 R841G841ABC transporter 1Disease-causing (★★)
ABCC8 G1255S1255ABC transmembrane type-1 2Disease-causing (★★)
ABCC8 V187D187CytoplasmicDisease-causing (★★)
ABCC8 V1522M1522ABC transporter 2Disease-causing (★★)
KCNJ11 V59M59CytoplasmicDisease-causing (★★)
KCNJ11 E229K229CytoplasmicDisease-causing (★★)
ABCC8 M1V1ExtracellularDisease-causing (★★)
INS M1V1Disease-causing (★★)
INS A24D24Disease-causing (★★)
INS F48C48Disease-causing (★★)
KCNJ11 R201L201CytoplasmicDisease-causing (★)
INS R89C89Disease-causing
KCNJ11 R201H201CytoplasmicDisease-causing
INS R89P89Disease-causing
KCNJ11 R201C201CytoplasmicDisease-causing
INS G32S32Disease-causing
INS R89L89Disease-causing
KCNJ11 R301H301CytoplasmicDisease-causing
ABCC8 I1423V1423ABC transporter 2Disease-causing
ABCC8 I1424V1424ABC transporter 2Disease-causing
ABCC8 L213R213CytoplasmicDisease-causing
ABCC8 E382K382ABC transmembrane type-1 1Disease-causing
ABCC8 V86G86TransmembraneDisease-causing

Uncertain variants in Diabetes mellitus, permanent neonatal 3 that look disease-causing

VariantPositionProtein partClinical labelEvidence
ABCC8 R1352H1352ABC transporter 2Conflicting reports (★)+6: R1352P at the same position is pathogenic; REVEL 0.934

Which prediction tools work for Diabetes mellitus, permanent neonatal 3

How often each tool ranks a disease-causing variant above a harmless one (AUROC × 100).

Same protein, different disease

Diseases related to Diabetes mellitus, permanent neonatal 3

Frequently asked questions

Which genes are linked to Diabetes mellitus, permanent neonatal 3?

In CATVariant, Diabetes mellitus, permanent neonatal 3 is linked to 3 analyzed proteins: ABCC8 (ATP-binding cassette sub-family C member 8), INS (Insulin) and KCNJ11 (ATP-sensitive inward rectifier potassium channel 11).

How many genetic variants are linked to Diabetes mellitus, permanent neonatal 3?

116 variants: 35 are classified as disease-causing (pathogenic or likely pathogenic) in ClinVar and 54 are of uncertain significance or have conflicting reports.

Which uncertain variants in Diabetes mellitus, permanent neonatal 3 look disease-causing?

1 uncertain variants reach the likely-pathogenic range of the ACMG/AMP points scale on computable evidence, for example ABCC8 R1352H. These are leads for expert review, not diagnoses.

Which variant effect predictor works best for Diabetes mellitus, permanent neonatal 3?

Among tools not trained on clinical labels, CADD separates this disease's known disease-causing variants from harmless ones best (AUROC 0.97, based on 19 disease-causing and 9 harmless variants).

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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