Osteoporosis: genes and variants

Osteoporosis is linked to 7 analyzed proteins (COL1A1, COL1A2, LRP5, ESR1, PTH1R, SOST and VDR). 8 DNA variants are known to cause it; 29 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 Osteoporosis

Known disease-causing variants in Osteoporosis

VariantPositionProtein partClinical label
COL1A2 G358S358Disease-causing (★★)
COL1A1 G482R482Triple-helical regionDisease-causing (★★)
COL1A1 G767S767Triple-helical regionDisease-causing (★★)
COL1A1 G1022A1022Triple-helical regionDisease-causing (★★)
COL1A1 R312C312Triple-helical regionDisease-causing (★★)
COL1A1 G1181S1181Triple-helical regionDisease-causing (★★)
COL1A2 G511S511Disease-causing (★)
COL1A1 G593C593Triple-helical regionDisease-causing (★)

Which prediction tools work for Osteoporosis

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

Same protein, different disease

Diseases related to Osteoporosis

Frequently asked questions

Which genes are linked to Osteoporosis?

In CATVariant, Osteoporosis is linked to 7 analyzed proteins: COL1A1 (Collagen alpha-1(I) chain), COL1A2 (Collagen alpha-2(I) chain), LRP5 (Low-density lipoprotein receptor-related protein 5), ESR1 (Estrogen receptor), PTH1R (Parathyroid hormone/parathyroid hormone-related peptide receptor), SOST (Sclerostin) and 1 more.

How many genetic variants are linked to Osteoporosis?

40 variants: 8 are classified as disease-causing (pathogenic or likely pathogenic) in ClinVar and 29 are of uncertain significance or have conflicting reports.

Which uncertain variants in Osteoporosis 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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