Spondyloepiphyseal dysplasia congenita: genes and variants

Spondyloepiphyseal dysplasia congenita is linked to 1 analyzed protein (COL2A1). 38 DNA variants are known to cause it; 11 more are uncertain, and 0 of those already look disease-causing on computable evidence.

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

Genes linked to Spondyloepiphyseal dysplasia congenita

Known disease-causing variants in Spondyloepiphyseal dysplasia congenita

VariantPositionProtein partClinical label
COL2A1 G393S393Triple-helical regionDisease-causing (★★)
COL2A1 G504S504Triple-helical regionDisease-causing (★★)
COL2A1 G687S687Triple-helical regionDisease-causing (★★)
COL2A1 G369R369Triple-helical regionDisease-causing (★★)
COL2A1 G399R399Triple-helical regionDisease-causing (★★)
COL2A1 G486D486Triple-helical regionDisease-causing (★★)
COL2A1 G510C510Triple-helical regionDisease-causing (★★)
COL2A1 G594R594Triple-helical regionDisease-causing (★★)
COL2A1 G675D675Triple-helical regionDisease-causing (★★)
COL2A1 G867V867Triple-helical regionDisease-causing (★★)
COL2A1 G1041S1041Triple-helical regionDisease-causing (★★)
COL2A1 G1092D1092Triple-helical regionDisease-causing (★★)
COL2A1 G1128R1128Triple-helical regionDisease-causing (★★)
COL2A1 G1146S1146Triple-helical regionDisease-causing (★★)
COL2A1 G1176D1176Triple-helical regionDisease-causing (★★)
COL2A1 G1197R1197Triple-helical regionDisease-causing (★★)
COL2A1 G1080R1080Triple-helical regionDisease-causing (★★)
COL2A1 G288S288Triple-helical regionDisease-causing (★)
COL2A1 G822S822Triple-helical regionDisease-causing (★)
COL2A1 G891S891Triple-helical regionDisease-causing (★)
COL2A1 G207V207Triple-helical regionDisease-causing (★)
COL2A1 G327V327Triple-helical regionDisease-causing (★)
COL2A1 G357S357Triple-helical regionDisease-causing (★)
COL2A1 G372R372Triple-helical regionDisease-causing (★)
COL2A1 G501E501Triple-helical regionDisease-causing (★)
COL2A1 G633S633Triple-helical regionDisease-causing (★)
COL2A1 G699C699Triple-helical regionDisease-causing (★)
COL2A1 G1101R1101Triple-helical regionDisease-causing (★)
COL2A1 G1116C1116Triple-helical regionDisease-causing (★)
COL2A1 G1155R1155Triple-helical regionDisease-causing (★)
COL2A1 W1299C1299Fibrillar collagen NC1Disease-causing (★)
COL2A1 L1378Q1378Fibrillar collagen NC1Disease-causing (★)
COL2A1 G630C630Triple-helical regionDisease-causing (★)
COL2A1 G702S702Triple-helical regionDisease-causing (★)
COL2A1 G1086R1086Triple-helical regionDisease-causing (★)
COL2A1 G1173R1173Triple-helical regionDisease-causing
COL2A1 G1185R1185Triple-helical regionDisease-causing
COL2A1 G927V927Triple-helical regionDisease-causing

Which prediction tools work for Spondyloepiphyseal dysplasia congenita

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

Same protein, different disease

Diseases related to Spondyloepiphyseal dysplasia congenita

Frequently asked questions

Which genes are linked to Spondyloepiphyseal dysplasia congenita?

In CATVariant, Spondyloepiphyseal dysplasia congenita is linked to 1 analyzed protein: COL2A1 (Collagen alpha-1(II) chain).

How many genetic variants are linked to Spondyloepiphyseal dysplasia congenita?

59 variants: 38 are classified as disease-causing (pathogenic or likely pathogenic) in ClinVar and 11 are of uncertain significance or have conflicting reports.

Which uncertain variants in Spondyloepiphyseal dysplasia congenita look disease-causing?

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

Which variant effect predictor works best for Spondyloepiphyseal dysplasia congenita?

Among tools not trained on clinical labels, AlphaMissense separates this disease's known disease-causing variants from harmless ones best (AUROC 1.00, based on 28 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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