Homocystinuria due to methylene tetrahydrofolate reductase deficiency: genes and variants

Homocystinuria due to methylene tetrahydrofolate reductase deficiency is linked to 1 analyzed protein (MTHFR). 43 DNA variants are known to cause it; 148 more are uncertain, and 1 of those already look disease-causing on computable evidence.

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

Genes linked to Homocystinuria due to methylene tetrahydrofolate reductase deficiency

Known disease-causing variants in Homocystinuria due to methylene tetrahydrofolate reductase deficiency

VariantPositionProtein partClinical label
MTHFR A195V195Disease-causing (★★)
MTHFR T227M227Disease-causing (★★)
MTHFR L323P323Disease-causing (★★)
MTHFR R357H357Disease-causing (★★)
MTHFR A113T113Disease-causing (★★)
MTHFR G149V149Disease-causing (★★)
MTHFR R157Q157Disease-causing (★★)
MTHFR R357C357Disease-causing (★★)
MTHFR R377H377Disease-causing (★★)
MTHFR W421S421Disease-causing (★★)
MTHFR W421C421Disease-causing (★★)
MTHFR A175T175Disease-causing (★★)
MTHFR N324S324Disease-causing (★★)
MTHFR R345C345Disease-causing (★★)
MTHFR P572L572Disease-causing (★★)
MTHFR R68G68Disease-causing (★★)
MTHFR R183Q183Disease-causing (★★)
MTHFR R52Q52Disease-causing (★★)
MTHFR M338T338Disease-causing (★★)
MTHFR W339G339Disease-causing (★★)
MTHFR R535W535Disease-causing (★★)
MTHFR R46Q46Disease-causing (★★)
MTHFR A113S113Disease-causing (★)
MTHFR P202T202Disease-causing (★)
MTHFR C243G243Disease-causing (★)
MTHFR R51P51Disease-causing (★)
MTHFR R79S79Disease-causing (★)
MTHFR Y506D506Disease-causing (★)
MTHFR E586K586Disease-causing (★)
MTHFR L598R598Disease-causing (★)
MTHFR M1K1Disease-causing (★)
MTHFR D159G159Disease-causing (★)
MTHFR H201P201Disease-causing (★)
MTHFR K372E372Disease-causing (★)
MTHFR C130R130Disease-causing
MTHFR V575G575Disease-causing
MTHFR P348S348Disease-causing
MTHFR W59S59Disease-causing
MTHFR G196D196Disease-causing
MTHFR I225L225Disease-causing
MTHFR G255V255Disease-causing
MTHFR S603C603Disease-causing
MTHFR L628P628Disease-causing

Uncertain variants in Homocystinuria due to methylene tetrahydrofolate reductase deficiency that look disease-causing

VariantPositionProtein partClinical labelEvidence
MTHFR R157W157Conflicting reports (★)+6: 2 other pathogenic changes within 3 positions; R157Q at the same position is pathogenic; REVEL 0.911

Which prediction tools work for Homocystinuria due to methylene tetrahydrofolate reductase deficiency

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

Same protein, different disease

Diseases related to Homocystinuria due to methylene tetrahydrofolate reductase deficiency

Frequently asked questions

Which genes are linked to Homocystinuria due to methylene tetrahydrofolate reductase deficiency?

In CATVariant, Homocystinuria due to methylene tetrahydrofolate reductase deficiency is linked to 1 analyzed protein: MTHFR (Methylenetetrahydrofolate reductase (NADPH)).

How many genetic variants are linked to Homocystinuria due to methylene tetrahydrofolate reductase deficiency?

233 variants: 43 are classified as disease-causing (pathogenic or likely pathogenic) in ClinVar and 148 are of uncertain significance or have conflicting reports.

Which uncertain variants in Homocystinuria due to methylene tetrahydrofolate reductase deficiency look disease-causing?

1 uncertain variants reach the likely-pathogenic range of the ACMG/AMP points scale on computable evidence, for example MTHFR R157W. These are leads for expert review, not diagnoses.

Which variant effect predictor works best for Homocystinuria due to methylene tetrahydrofolate reductase deficiency?

Among tools not trained on clinical labels, CADD separates this disease's known disease-causing variants from harmless ones best (AUROC 0.84, based on 31 disease-causing and 13 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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