palmitoyl sphingomyelin (d18:1/16:0) to 1-palmitoleoyl-2-linolenoyl-gpc (16:1/18:3)*

Numerator Metabolite

Structure of palmitoyl sphingomyelin (d18:1/16:0)
Metabolite Accession: GCST90199876
Name: palmitoyl sphingomyelin (d18:1/16:0)
Hmdb Id: HMDB0010169
Super Pathway: NA
Sub Pathway: NA
Inchikey: RWKUXQNLWDTSLO

Denominator Metabolite

Structure of 1-palmitoleoyl-2-linolenoyl-gpc (16:1/18:3)*
Metabolite Accession: GCST90200102
Name: 1-palmitoleoyl-2-linolenoyl-gpc (16:1/18:3)*
Hmdb Id: HMDB0008008
Super Pathway: NA
Sub Pathway: NA
Inchikey: MMUCLZZSNHBNFL

Associated Genomic Regions

Region: rs1260326

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:
2
Beta (Ratio):
-0.175
Position:
27730940
SE (Ratio):
0.020
Effect Allele:
T
Z-score (Ratio):
-8.806
Reference Allele:
C
-log10(P):
-41.182
MAF:
0.413
Beta (Num):
-0.082
Novel Locus:
Yes ✔️
SE (Num):
0.015
Beta (Den):
0.093
SE (Den):
0.015
No CNV overlap
rQTL cluster:
Reaction Distance:
NA

LLM Analysis

Numerator Metabolite Explanation:

Sphingolipid metabolism.3[1], 4[2]

Denominator Metabolite Explanation:

Glycerophospholipid metabolism.5[1], 6[2]

Ratio Explanation:

This ratio contrasts sphingolipid and glycerophospholipid levels. Altered GCKR function may shift hepatic glucose and lipid metabolism, impacting the balance between these distinct lipid classes.1[1], 7[2]

Ratio Evidence:

metabolites related through biology

Gene Ratio Phenotype Relationship:

GCKR variants alter glucose and lipid metabolism, leading to phenotypes like type 2 diabetes and hypercholesterolaemia.1[1], 8[2] This altered metabolic state is reflected in the ratio of palmitoyl sphingomyelin to a phosphatidylcholine, which serves as a biomarker for this GCKR-driven dysregulation.1[3], 9[4]

Phenotype Driver:

Gene-centric:GCKR

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