Waardenburg syndrome 2F

disease
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Also known as WS2F

Summary

Waardenburg syndrome 2F (MONDO:0030983) is a disease with 2 cohort genes.

At a glance

  • Cohort genes: 2
  • ClinVar variants: 6

Clinical features

No curated clinical features (Orphanet) for this disease.

Identifiers

Disease identifiers

FieldValue
Canonical nameWaardenburg syndrome 2F
Mondo IDMONDO:0030983
OMIM619947
UMLSC5677013
MedGen1809587
GARD0025672
Is cancer (heuristic)no

Also known as: WS2F

Data availability: 6 ClinVar variants · 2 GenCC gene-disease records.

Disease family

Classification path: disease › human disease › disease by etiologic mechanism › disease of genetic or genomic mechanism › hereditary disease › autosomal genetic disease › autosomal dominant disease › Waardenburg syndromeWaardenburg syndrome 2F

Related subtypes (4): Waardenburg syndrome type 3, Waardenburg syndrome type 1, Waardenburg syndrome type 2, Waardenburg-Shah syndrome

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

6 retrieved; paginated sample, class counts are floors:

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

ClinVarVariant (HGVS)GeneClassificationReview
1693554NM_000899.5(KITLG):c.94C>T (p.Arg32Cys)KITLGPathogenicno assertion criteria provided
1693555NM_000899.5(KITLG):c.443T>C (p.Ile148Thr)KITLGPathogenicno assertion criteria provided
1693556NM_000899.5(KITLG):c.550_551del (p.Met184fs)KITLGPathogenicno assertion criteria provided
3767214NM_139242.4(MTFMT):c.1022del (p.Thr341fs)MTFMTLikely pathogeniccriteria provided, single submitter
2504286NM_000899.5(KITLG):c.715-2A>GKITLGConflicting classifications of pathogenicitycriteria provided, conflicting classifications
2504592NM_000899.5(KITLG):c.15+6T>CKITLGUncertain significancecriteria provided, single submitter

Genes & proteins

Mendelian disease overlap and somatic drivers

GenCC: 11 · Orphanet: 6 · 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
KITLGStrongAutosomal dominantWaardenburg syndrome11

Orphanet rare-disease linkage (cohort genes)

GeneOrphanet IDRare disease
KITLGOrphanet:280628Familial progressive hyper- and hypopigmentation
KITLGOrphanet:363494Non-seminomatous germ cell tumor of testis
KITLGOrphanet:79146Familial progressive hyperpigmentation
KITLGOrphanet:895Waardenburg syndrome type 2
KITLGOrphanet:90635Rare autosomal dominant non-syndromic sensorineural deafness type DFNA
MTFMTOrphanet:319524Combined oxidative phosphorylation defect type 15

Cohort genes → proteins

2 cohort genes, 2 distinct canonical proteins.

Evidence partition

SubsetGenes
multi_evidence2

Cohort genes (full)

SymbolHGNCEnsemblUniProtNameEvidence
KITLGHGNC:6343ENSG00000049130P21583Kit ligandgencc,clinvar
MTFMTHGNC:29666ENSG00000103707Q96DP5Methionyl-tRNA formyltransferase, mitochondrialclinvar

Cohort function summary

Lead sentence per gene, UniProt-curated.

SymbolProtein nameFunction (lead sentence)
KITLGKit ligandLigand for the receptor-type protein-tyrosine kinase KIT.
MTFMTMethionyl-tRNA formyltransferase, mitochondrialMethionyl-tRNA formyltransferase that formylates methionyl-tRNA in mitochondria and is crucial for translation initiation.

Protein-family classification

Druggable: 1 · Difficult: 0 · Unknown: 1 · Druggable fraction: 0.5

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
Enzyme (other)16.0×0.320
Other/Unknown10.9×0.805

Per-gene assignment

SymbolFamilyDruggable?ECInterPro (top 3)
KITLGOther/UnknownnoSCF, 4_helix_cytokine-like_core
MTFMTEnzyme (other)yes2.1.2.9Formyl_transf_N, Formyl_trans_C, Fmt

Expression context

Cohort genes with no expression data: 0.

2 cohort genes 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)2
unknown0

Top tissues across cohort

TissueCohort genes
cardia of stomach1
lower lobe of lung1
visceral pleura1
buccal mucosa cell1
cardiac muscle of right atrium1
left ventricle myocardium1

Per-gene tissue summary (top 30)

SymbolBgee breadthFANTOM5 breadthSCXATop tissues
KITLG262ubiquitousmarkervisceral pleura, cardia of stomach, lower lobe of lung
MTFMT245ubiquitousmarkerleft ventricle myocardium, buccal mucosa cell, cardiac muscle of right atrium

Protein interactions among cohort

Intra-cohort edges: 0.

Hub genes (top 10 by interactor count)

SymbolInteractor count
KITLG3,075
MTFMT2,143

Structural data

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

Cohort genes with PDB structures (top 30)

SymbolUniProtPDB entries
KITLGP215836

AlphaFold-only cohort genes (top 30 by pLDDT)

SymbolUniProtpLDDT
MTFMTQ96DP586.08

Function

Pathway analysis

Distinct Reactome pathways touched by cohort: 8. Enrichment computed across 2 evidence-associated genes (2 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 2 annotated cohort genes). Counts and members are kept as ground-truth; sorted by enrichment.

PathwayCohort genesFoldFDRSample cohort genes
Regulation of KIT signaling1300.5×0.025KITLG
Signaling by SCF-KIT1124.1×0.025KITLG
Transcriptional and post-translational regulation of MITF-M expression and activity189.2×0.025KITLG
Constitutive Signaling by Aberrant PI3K in Cancer163.4×0.025KITLG
Mitochondrial translation initiation163.4×0.025MTFMT
PI5P, PP2A and IER3 Regulate PI3K/AKT Signaling148.4×0.027KITLG
PIP3 activates AKT signaling133.4×0.032KITLG
RAF/MAP kinase cascade130.5×0.032KITLG

GO biological processes by enrichment

Over-representation of cohort genes vs the genome-wide background (hypergeometric test, Benjamini-Hochberg FDR; fold = observed/expected over 2 annotated cohort genes). Counts and members are kept as ground-truth; sorted by enrichment.

GO termCohort genesFoldFDRSample cohort genes
conversion of methionyl-tRNA to N-formyl-methionyl-tRNA18426.0×0.001MTFMT
positive regulation of myeloid leukocyte differentiation14213.0×0.001KITLG
myeloid leukocyte differentiation12808.7×0.001KITLG
negative regulation of mast cell apoptotic process12808.7×0.001KITLG
melanocyte migration12808.7×0.001KITLG
mast cell migration12808.7×0.001KITLG
positive regulation of hematopoietic progenitor cell differentiation12808.7×0.001KITLG
mast cell apoptotic process12106.5×0.001KITLG
positive regulation of melanocyte differentiation11685.2×0.001KITLG
mast cell proliferation11685.2×0.001KITLG
positive regulation of mast cell proliferation11685.2×0.001KITLG
positive regulation of hematopoietic stem cell proliferation1936.2×0.002KITLG
positive regulation of leukocyte migration1495.6×0.004KITLG
embryonic hemopoiesis1495.6×0.004KITLG
positive regulation of Ras protein signal transduction1443.5×0.004KITLG
ectopic germ cell programmed cell death1421.3×0.004KITLG
extrinsic apoptotic signaling pathway in absence of ligand1234.1×0.007KITLG
ovarian follicle development1195.9×0.007KITLG
T cell proliferation1191.5×0.007KITLG
neural crest cell migration1168.5×0.008KITLG
positive regulation of T cell proliferation1129.6×0.010KITLG
hematopoietic progenitor cell differentiation1118.7×0.010KITLG
Ras protein signal transduction1102.8×0.011KITLG
male gonad development178.0×0.014KITLG
cell adhesion118.7×0.055KITLG
positive regulation of cell population proliferation116.8×0.059KITLG

Therapeutics

Drug target analysis

Approved (phase 4): 0 · Phase ≥3: 0 · Phased (≥1): 0 · Undrugged: 2

Druggability breadth: 1 of 2 evidence-associated genes (50%) have a ChEMBL target (buckets above are over the deeply-mined display cohort).

Top cohort targets by molecule count

SymbolMoleculesMax phase
KITLG00
MTFMT00

Bioactivity and enzyme data

Enzyme cohort genes (≥1 EC): 1.

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

SymbolAssaysType breakdown
KITLG1Binding:1

Cohort enzymes (BRENDA EC)

SymbolEC numbersNames
MTFMT2.1.2.9methionyl-tRNA formyltransferase

Pharmacogenomics

Cohort genes with a PharmGKB record: 2; with CPIC/DPWG dosing guidelines: 0.

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

Chemical tractability of cohort targets

0 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.

Druggability pyramid

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

TierDefinitionGenesSymbols
AApproved (phase 4 drug)0
BPhased (≥1) drug, not yet approved0
CDruggable family + PDB, no drug0
DDruggable family + AlphaFold only, no drug1MTFMT
EDifficult family or no structure, no drug1KITLG

Undrugged target profiles

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

SymbolChEMBL assaysDrugged partners (top 3)
KITLG1
MTFMT0

Clinical trials & evidence

Clinical trials

Clinical trials: 0.