rs1148259 — ANKRD30A

ANKRD30A rs1148259 — A Metabolomics Signal in the Sphingolipid Layer

When geneticists search for the DNA variants that shape our metabolic chemistry, they sometimes find signals in unexpected places. rs1148259 sits in the 3′ untranslated region¹¹ 3′ untranslated region
The 3′ UTR is the non-coding tail of a messenger RNA that follows the stop codon. It does not change the protein sequence but often carries regulatory sequences that control mRNA stability, transport, and translation efficiency. of the ANKRD30A gene on chromosome 10 — technically a synonymous position that leaves the encoded protein unchanged, yet it emerged as one of the strongest metabolite associations in the first large-scale metabolomics genome-wide association study, with circulating sphingolipid levels differing by genotype at p = 3.04 × 10⁻⁹.

The Gene

ANKRD30A (ankyrin repeat domain 30A, also catalogued as the breast cancer antigen NY-BR-1) encodes a nuclear protein bearing multiple ankyrin repeat domains²² ankyrin repeat domains
Ankyrin repeats are 33-amino-acid motifs that mediate protein-protein interactions and are found in hundreds of signalling and regulatory proteins.. The gene shows highest expression in mammary glandular epithelium and testis, with secondary expression in adipose tissue. It acts as a DNA-binding transcription factor³³ DNA-binding transcription factor
A protein that attaches to specific DNA sequences and regulates whether nearby genes are switched on or off, and at what level. and has been identified as a host factor for HIV-1 replication and as an interferon-stimulated gene, pointing to roles in both cellular regulation and antiviral defence. No direct enzymatic role in sphingolipid synthesis or degradation has been described for ANKRD30A, making the metabolomics signal difficult to interpret mechanistically.

The Mechanism

rs1148259 is annotated as a synonymous variant — all possible nucleotide substitutions at this position encode the same amino acid (alanine at codon 1270). In at least one transcript isoform, the variant falls in the 3′ UTR rather than the coding sequence. Variants in 3′ UTRs can alter mRNA stability, affect binding sites for microRNAs⁴⁴ microRNAs
Small non-coding RNA molecules (~22 nucleotides) that bind to 3′ UTR sequences and suppress gene expression post-transcriptionally, often by destabilising the mRNA or blocking its translation. or RNA-binding proteins, and thereby change the amount of protein produced without altering its sequence. Whether this is the mechanism behind the sphingolipid association remains uncharacterised.

Sphingomyelins⁵⁵ Sphingomyelins
A class of sphingolipids found abundantly in cell membranes, especially myelin sheaths around nerve fibres and in lipid rafts. Sphingomyelin consists of a ceramide backbone linked to a phosphocholine head group. are structural membrane lipids and signalling molecules involved in lipid raft formation, apoptosis signalling, and inflammation. Circulating sphingomyelin concentrations have been associated with cardiovascular risk, insulin resistance, and neurological outcomes in epidemiological studies.

The Evidence

The association was identified by Gieger et al. (2008)⁶⁶ Gieger et al. (2008)
Gieger C et al. Genetics meets metabolomics: a genome-wide association study of metabolite profiles in human serum. PLoS Genet, 2008 in the first ever genome-wide metabolomics study. The cohort consisted of 284 European men enrolled in the KORA (Cooperative Health Research in the Region of Augsburg) study in Bavaria, Germany. Using a metabolomics platform measuring 363 serum metabolites and their ratios, rs1148259 reached p = 3.04 × 10⁻⁹ for sphingolipid amount — just below the conventional genome-wide threshold — making it one of roughly a dozen suggestive loci in the study.

This discovery-cohort signal has not, to date, been independently replicated in published literature. The primary metabolomics GWAS literature from this period converged on well-characterised loci — FADS1 for polyunsaturated fatty acids, LIPC for glycerophospholipids, SCAD and MCAD for acylcarnitines — as its core findings, and rs1148259 was not among the loci carried forward into replication efforts that followed. Its evidence status therefore remains emerging: a single discovery association in a small, male-only European cohort with no established biological mechanism.

Practical Implications

Given the emerging and unreplicated nature of this finding, rs1148259 does not currently support strong, genotype-specific dietary or supplementation recommendations. The most clinically actionable step for individuals carrying the C allele is awareness that their sphingolipid metabolism may differ from the average, warranting attention to the dietary factors and biomarkers known to influence sphingolipid levels more broadly.

Dietary choline from eggs, liver, and soybeans is the direct precursor to the phosphocholine head group of sphingomyelin and supports membrane phospholipid synthesis. Adequate serine intake matters because serine is the carbon backbone donor for de novo sphingolipid synthesis. Monitoring standard lipid panels — which include some sphingomyelin-rich lipoprotein fractions indirectly — provides a baseline picture of sphingolipid-related cardiovascular risk.

Interactions

The strongest metabolomics locus in the Gieger 2008 study was rs174548 in FADS1, which controls desaturation of polyunsaturated fatty acids and influences glycerophospholipid and sphingomyelin composition via shared membrane substrates. The PLEK locus (rs9309413) showed associations with multiple sphingomyelin species in the same study. Because sphingolipid metabolism is interconnected with the broader phospholipid network, FADS1 and PLEK variants together with rs1148259 may jointly shape an individual's sphingolipid profile, though no compound analysis has been published for this specific three-way combination.