Retinitis pigmentosa 92

disease
On this page

Also known as RP92

Summary

Retinitis pigmentosa 92 (MONDO:0030619) is a disease with 1 cohort gene.

At a glance

  • Cohort genes: 1
  • ClinVar variants: 9

Clinical features

No curated clinical features (Orphanet) for this disease.

Identifiers

Disease identifiers

FieldValue
Canonical nameretinitis pigmentosa 92
Mondo IDMONDO:0030619
OMIM619614
DOIDDOID:0061107
UMLSC5562022
MedGen1794232
GARD0025604
Is cancer (heuristic)no

Also known as: retinitis pigmentosa 92 · RP92

Data availability: 9 ClinVar variants · 1 GenCC gene-disease record.

Disease family

Classification path: disease › human disease › disease by body system or component › nervous system disorderretinal disorderretinal degenerationinherited retinal dystrophyretinitis pigmentosaretinitis pigmentosa 92

Related subtypes (101): retinitis pigmentosa 6, cone-rod dystrophy 2, retinitis pigmentosa 1, retinitis pigmentosa 9, retinitis pigmentosa 10, dominant pericentral pigmentary retinopathy, late-adult onset retinitis pigmentosa, autosomal recessive pericentral pigmentary retinopathy, retinitis pigmentosa 3, retinitis pigmentosa 24, retinitis pigmentosa 23, retinitis pigmentosa 34, retinitis pigmentosa 2, retinitis pigmentosa Y-linked, retinitis pigmentosa 13, retinitis pigmentosa 12, retinitis pigmentosa 14, retinitis pigmentosa 11, retinitis pigmentosa 17, retinitis pigmentosa 18, retinitis pigmentosa 19, retinitis pigmentosa 22, retinitis pigmentosa 25, retinitis pigmentosa 28, retinitis pigmentosa 30, retinitis pigmentosa 7, retinitis pigmentosa 26, retinitis pigmentosa 32, retinitis pigmentosa 31, retinitis pigmentosa 35, retinitis pigmentosa 33, retinitis pigmentosa 36, retinitis pigmentosa 37, retinitis pigmentosa 41, retinitis pigmentosa 29, retinitis pigmentosa 46, retinitis pigmentosa 42, retinitis pigmentosa 50, retinitis pigmentosa 54, retinitis pigmentosa 51, retinitis pigmentosa 55, retinitis pigmentosa 56, retinitis pigmentosa 57, retinitis pigmentosa 58, cone-rod dystrophy 15, retinitis pigmentosa 4, retinitis pigmentosa 27, retinitis pigmentosa 49, retinitis pigmentosa 47, retinitis pigmentosa 45, retinitis pigmentosa 44, retinitis pigmentosa 20, retinitis pigmentosa 40, retinitis pigmentosa 39, retinitis pigmentosa 43, retinitis pigmentosa 48, retinitis pigmentosa 59, retinitis pigmentosa 38, retinitis pigmentosa 60, retinitis pigmentosa 61, retinitis pigmentosa 62, retinitis pigmentosa 63, cone-rod dystrophy 16, retinitis pigmentosa 66, retinitis pigmentosa with or without situs inversus, retinitis pigmentosa 67, retinitis pigmentosa 68, retinitis pigmentosa 69, retinitis pigmentosa 70, retinal dystrophy and obesity, retinitis pigmentosa 71, retinitis pigmentosa 72, retinitis pigmentosa 73, retinitis pigmentosa 74, retinitis pigmentosa 75, retinitis pigmentosa 76, retinitis pigmentosa 77, retinitis pigmentosa 93, retinitis pigmentosa 83, retinitis pigmentosa 84, retinitis pigmentosa 85, retinitis pigmentosa 86, retinitis pigmentosa 87 with choroidal involvement, retinitis pigmentosa 88, retinitis pigmentosa 90, retinitis pigmentosa 81, retinitis pigmentosa 78, retinitis pigmentosa 79, retinitis pigmentosa 80, retinitis pigmentosa 94, variable age at onset, retinitis pigmentosa 53, retinitis pigmentosa 65, retinitis pigmentosa 64, retinitis pigmentosa 95, retinitis pigmentosa 96, retinitis pigmentosa 97, retinitis pigmentosa 98, retinitis pigmentosa 99, retinitis pigmentosa 100, retinitis pigmentosa 101, retinitis pigmentosa 7, digenic

Genetics & variants

GWAS landscape

No GWAS associations recorded — common-variant (GWAS) studies don’t cover this disease (typical for Mendelian / rare diseases). See the curated gene cohort and Mendelian overlap below.

Variant details and genetic-evidence tiers

ClinVar germline variants

9 retrieved; paginated sample, class counts are floors:

5 uncertain significance, 3 likely pathogenic, 1 conflicting classifications of pathogenicity

ClinVarVariant (HGVS)GeneClassificationReview
1321242NM_025130.4(HKDC1):c.173C>T (p.Thr58Met)HKDC1Likely pathogeniccriteria provided, multiple submitters, no conflicts
3065416NM_025130.4(HKDC1):c.1250A>G (p.Tyr417Cys)HKDC1Likely pathogeniccriteria provided, single submitter
3065578NM_025130.4(HKDC1):c.250G>A (p.Asp84Asn)HKDC1Likely pathogeniccriteria provided, single submitter
617835NM_025130.4(HKDC1):c.1258C>T (p.His420Tyr)HKDC1Conflicting classifications of pathogenicitycriteria provided, conflicting classifications
3068150NM_025130.4(HKDC1):c.361G>A (p.Gly121Arg)HKDC1Uncertain significancecriteria provided, single submitter
3106144NM_025130.4(HKDC1):c.1583T>C (p.Phe528Ser)HKDC1Uncertain significancecriteria provided, multiple submitters, no conflicts
3891327NM_025130.4(HKDC1):c.650G>A (p.Cys217Tyr)HKDC1Uncertain significancecriteria provided, single submitter
3891328NM_025130.4(HKDC1):c.432_438del (p.His145fs)HKDC1Uncertain significancecriteria provided, single submitter
4277525NM_025130.4(HKDC1):c.256G>A (p.Gly86Arg)HKDC1Uncertain significancecriteria provided, single submitter

Genes & proteins

Mendelian disease overlap and somatic drivers

GenCC: 2 · Orphanet: 0 · OMIM-shared: 0 · Dual-evidence (GWAS+Mendelian): 0

GenCC gene–disease validity (cohort genes)

the Disease column is the GenCC-asserted condition — a cohort gene’s strongest validity may be for a related predisposition syndrome.

GeneClassificationInheritanceDiseaseRecords
HKDC1LimitedAutosomal recessiveretinitis pigmentosa 922

Cohort genes → proteins

1 cohort genes, 1 distinct canonical proteins.

Evidence partition

SubsetGenes
multi_evidence1

Cohort genes (full)

SymbolHGNCEnsemblUniProtNameEvidence
HKDC1HGNC:23302ENSG00000156510Q2TB90Hexokinase HKDC1gencc,clinvar

Cohort function summary

Lead sentence per gene, UniProt-curated.

SymbolProtein nameFunction (lead sentence)
HKDC1Hexokinase HKDC1Catalyzes the phosphorylation of hexose to hexose 6-phosphate, although at very low level compared to other hexokinases.

Protein-family classification

Druggable: 1 · Difficult: 0 · Unknown: 0 · Druggable fraction: 1.0

Family distribution

Cohort families vs a genome-wide background (hypergeometric, BH-FDR; fold = observed/expected). Counts kept; sorted by enrichment, so the catch-all Other/Unknown bucket no longer leads.

FamilyGenesFoldFDR
Kinase127.7×0.036

Per-gene assignment

SymbolFamilyDruggable?ECInterPro (top 3)
HKDC1Kinaseyes2.7.1.1Hexokinase, Hexokinase_BS, Hexokinase_N

Expression context

Cohort genes with no expression data: 0.

1 cohort gene are a single-cell marker in ≥1 SCXA experiment.

Breadth distribution (Bgee present_calls)

BucketGenes
narrow (1-5 tissues)0
moderate (6-20)0
broad (>20)1
unknown0

Top tissues across cohort

TissueCohort genes
duodenum1
jejunal mucosa1
male germ line stem cell (sensu Vertebrata) in testis1

Per-gene tissue summary (top 30)

SymbolBgee breadthFANTOM5 breadthSCXATop tissues
HKDC1162broadmarkerjejunal mucosa, duodenum, male germ line stem cell (sensu Vertebrata) in testis

Protein interactions among cohort

Intra-cohort edges: 0.

Hub genes (top 10 by interactor count)

SymbolInteractor count
HKDC11,393

Structural data

PDB: 0 · AlphaFold-only: 1 · No structure: 0

AlphaFold-only cohort genes (top 30 by pLDDT)

SymbolUniProtpLDDT
HKDC1Q2TB9093.37

Function

Pathway analysis

Distinct Reactome pathways touched by cohort: 1. Enrichment computed across 1 evidence-associated genes (1 with Reactome annotation).

Pathways by enrichment

Over-representation of cohort genes vs the genome-wide background (hypergeometric test, Benjamini-Hochberg FDR; fold = observed/expected over 1 annotated cohort genes). Counts and members are kept as ground-truth; sorted by enrichment.

PathwayCohort genesFoldFDRSample cohort genes
Glycolysis1285.5×0.004HKDC1

GO biological processes by enrichment

Over-representation of cohort genes vs the genome-wide background (hypergeometric test, Benjamini-Hochberg FDR; fold = observed/expected over 1 annotated cohort genes). Counts and members are kept as ground-truth; sorted by enrichment.

GO termCohort genesFoldFDRSample cohort genes
glucose 6-phosphate metabolic process11296.3×0.003HKDC1
intracellular glucose homeostasis1581.1×0.003HKDC1
glycolytic process1383.0×0.003HKDC1
glucose metabolic process1255.3×0.004HKDC1

Therapeutics

Drug target analysis

Approved (phase 4): 1 · Phase ≥3: 1 · Phased (≥1): 1 · Undrugged: 0

Druggability breadth: 1 of 1 evidence-associated genes (100%) have a ChEMBL target (buckets above are over the deeply-mined display cohort).

Genes with an approved drug

The molecule shown is one approved compound that hits the gene — not necessarily a drug of choice or one indicated for this disease.

SymbolExample approved molecule
HKDC1CHLORHEXIDINE

Top cohort targets by molecule count

SymbolMoleculesMax phase
HKDC124

Drugs targeting cohort genes (top 30)

MoleculeMax phaseTargets in cohort
CHLORHEXIDINE4HKDC1
EBSELEN3HKDC1

Bioactivity and enzyme data

Enzyme cohort genes (≥1 EC): 1.

Cohort genes with ChEMBL bioactivity (full, sorted by assay count)

SymbolAssaysType breakdown
HKDC17Functional:6, Binding:1

Cohort enzymes (BRENDA EC)

SymbolEC numbersNames
HKDC12.7.1.1hexokinase

Pharmacogenomics

Cohort genes with a PharmGKB record: 1; with CPIC/DPWG dosing guidelines: 0.

No cohort gene has a CPIC/DPWG genotype-guided dosing guideline (PharmGKB).

Chemical tractability of cohort targets

2 approved/phased compounds have measured bioactivity against a cohort gene (and aren’t yet in disease-level trials). This is a research / tractability signal, NOT a therapeutic recommendation — a bioactivity row often reflects off-target or screening binding (e.g. promiscuous kinase inhibitors against a cohort kinase), implying no disease mechanism.

CompoundMax phaseCohort target (bioactivity)
CHLORHEXIDINE4HKDC1
EBSELEN3HKDC1

Druggability pyramid

Cohort genes binned by druggability tier (high → low):

TierDefinitionGenesSymbols
AApproved (phase 4 drug)1HKDC1
BPhased (≥1) drug, not yet approved0
CDruggable family + PDB, no drug0
DDruggable family + AlphaFold only, no drug0
EDifficult family or no structure, no drug0

Undrugged target profiles

0 cohort genes are undrugged. Ranked by ‘starting-point quality’ (assay depth + drugged-partner adjacency).

Clinical trials & evidence

Clinical trials

Clinical trials: 0.