sphingomyelin (d18:2/23:1)* to sphingomyelin (d18:1/25:0, d19:0/24:1, d20:1/23:0, d19:1/24:0)*

Numerator Metabolite

Structure of sphingomyelin (d18:2/23:1)*
Metabolite Accession: GCST90200126
Name: sphingomyelin (d18:2/23:1)*
Hmdb Id: HMDB0240668
Super Pathway: NA
Sub Pathway: NA
Inchikey: PUTLJICFLAOKRD

Denominator Metabolite

Structure of sphingomyelin (d18:1/25:0, d19:0/24:1, d20:1/23:0, d19:1/24:0)*
Metabolite Accession: GCST90200134
Name: sphingomyelin (d18:1/25:0, d19:0/24:1, d20:1/23:0, d19:1/24:0)*
Hmdb Id: NA
Super Pathway: NA
Sub Pathway: NA
Inchikey: JONXXLXMISNQNG

Associated Genomic Regions

Region: rs12897637

Click a 'Plot' button in the tables to the right to view a locus plot here.

Clumped rQTL variant

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SNP Summary

Chr:
14
Beta (Ratio):
0.215
Position:
64239351
SE (Ratio):
0.020
Effect Allele:
C
Z-score (Ratio):
10.667
Reference Allele:
T
-log10(P):
-59.496
MAF:
0.166
Beta (Num):
0.157
Novel Locus:
No
SE (Num):
0.018
Beta (Den):
-0.058
SE (Den):
0.021
No CNV overlap
rQTL cluster:
Reaction Distance:
NA
Closest Genes:

LLM Analysis

Numerator Metabolite Explanation:

Sphingolipid metabolism.2[1], 3[2]

Denominator Metabolite Explanation:

Sphingolipid metabolism.4[1], 5[2]

Ratio Explanation:

The ratio reflects sphingolipid composition, potentially influenced by SGPP1-mediated recycling of sphingoid bases back into ceramide and subsequently sphingomyelin synthesis.

Ratio Evidence:

metabolites related through biology

Gene Ratio Phenotype Relationship:

Altered SGPP1 function may modify sphingolipid pools, impacting lipoprotein metabolism and glycemic control. Higher sphingomyelin levels are associated with increased HbA1c and triglycerides, and altered sphingolipid profiles are linked to disorders of lipoprotein metabolism.6[1], 7[2], 8[3]

Phenotype Driver:

Metabolite-centric[both]

Downloads

Download the full rQTL summary statistics file for this metabolite ratio. Data contains the loci listed here. For each SNP (chromosome, effect_allele, reference_allele, pos_name, position) these columns contain the summary statistics of the ratio (beta, pgain, pval, se, z), the numerator metabolite (beta_1, pval_1, n_iids_1, effect_allele_frequency_1, se_1, z_1) and the denominator metabolite (beta_2, pval_2, n_iids_2, effect_allele_frequency_2, se_2, z_2)

Download rQTL Data