NIPA1

Chr 15

NIPA magnesium transporter 1

Also known as: FSP3, SLC57A1, SPG6

This gene encodes a magnesium transporter that associates with early endosomes and the cell surface in a variety of neuronal and epithelial cells. This protein may play a role in nervous system development and maintenance. Multiple transcript variants encoding different isoforms have been found for this gene. Mutations in this gene have been associated with autosomal dominant spastic paraplegia 6. [provided by RefSeq, Nov 2008]

GeneReviewsResearchGenerating clinical summary…
MultiplemechanismLOEUF 1.04
Clinical SummaryNIPA1
Population Constraint (gnomAD)
Low constraint (pLI 0.01) — loss-of-function variants are relatively tolerated in the population.
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ClinVar Variants
6 unique Pathogenic / Likely Pathogenic· 197 VUS of 386 total submissions
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GeneReview available — NIPA1
Authoritative clinical overview · Recommended first read
Open GeneReview ↗
Some data sources returned errors (1)

omim: Error: OMIM fetch failed: 429

Population Genetics & Constraint

gnomAD v4 — loss-of-function & missense intolerance

Tolerant — LoF & missense variants common in population
LoF Constraint?
1.04LOEUF
pLI 0.006
Z-score 1.49
OE 0.49 (0.261.04)
Tolerant

Highly tolerant — LoF variants common in population

Missense Constraint?
1.94Z-score
OE missense 0.60 (0.510.70)
110 obs / 184.1 exp
Tolerant

Mild missense constraint

Observed / Expected Ratios?
LoF OE?0.49 (0.261.04)
00.351.4
Missense OE?0.60 (0.510.70)
00.61.4
Synonymous OE?1.18
01.21.6
LoF obs/exp: 5 / 10.1Missense obs/exp: 110 / 184.1Syn Z: -1.32

This gene — mechanism propensity

DN
0.6937th %ile
GOF
0.76top 25%
LOF
0.2483th %ile

This gene has evidence for multiple mechanisms of pathogenicity (gain-of-function and dominant-negative). Both the Badonyi & Marsh prediction and the broader genomic evidence point to gain-of-function as the predominant mechanism. Different variants in this gene may act through different mechanisms — interpret in context of the specific variant.

GOFprediction above median · 1 literature citation
DNprediction above median · 1 literature citation

Note: In-silico variant effect predictors (SIFT, PolyPhen, REVEL, CADD) may underestimate pathogenicity of missense variants in genes with GOF or DN mechanisms. Consider functional evidence and clinical context.

Literature Evidence

DNWe report discovery of a dominant negative mutation in the NIPA1 gene in a kindred with autosomal dominant HSP (ADHSP), linked to chromosome 15q11-q13 (SPG6 locus); and precisely the same mutation in an unrelated kindred with ADHSP that was too small for meaningful linkage analysis.1
GOFHereditary spastic paraplegia-associated mutations in the NIPA1 gene and its Caenorhabditis elegans homolog trigger neural degeneration in vitro and in vivo through a gain-of-function mechanism.2

Predictions from Badonyi M, Marsh JA. PLoS ONE. 2024;19(8):e0307312.

ClinVar Variant Classifications

386 submitted variants in ClinVar

Classification Summary

Pathogenic5
Likely Pathogenic1
VUS197
Likely Benign98
Benign63
Conflicting19
5
Pathogenic
1
Likely Pathogenic
197
VUS
98
Likely Benign
63
Benign
19
Conflicting

Curated Variants Distribution

Classified variants from ClinVar · 5 ACMG categories

ClassificationLoFMissense + InframeNon-codingSynonymousTotal
Pathogenic
0
4
1
0
5
Likely Pathogenic
0
0
1
0
1
VUS
1
111
82
3
197
Likely Benign
0
8
36
54
98
Benign
0
3
57
3
63
Conflicting
19
Total112617760383

LoF = frameshift, stop gained/lost, canonical splice · Counts from ClinVar esearch · Updated hourly

View in ClinVar →

215 pathogenic / likely-pathogenic (of 347) ClinVar copy-number / structural variants overlap NIPA1 — these span large chromosomal regions, not the gene specifically, and are excluded from the counts above. Explore in CNV tools →

Protein Context — Lollipop Plot

NIPA1 · protein map & ClinVar variants

Showing all ClinVar variants across the protein. Search a specific variant to highlight its position.

Clinical Trials

Active and recruiting trials from ClinicalTrials.gov

No active trials found for this gene.

Search ClinicalTrials.gov →