1,2-dilinoleoyl-gpc (18:2/18:2) to sphingomyelin (d18:1/22:1, d18:2/22:0, d16:1/24:1)*

Numerator Metabolite

Structure of 1,2-dilinoleoyl-gpc (18:2/18:2)
Metabolite Accession: GCST90200030
Name: 1,2-dilinoleoyl-gpc (18:2/18:2)
Hmdb Id: HMDB0008138
Super Pathway: NA
Sub Pathway: NA
Inchikey: FVXDQWZBHIXIEJ

Denominator Metabolite

Structure of sphingomyelin (d18:1/22:1, d18:2/22:0, d16:1/24:1)*
Metabolite Accession: GCST90200010
Name: sphingomyelin (d18:1/22:1, d18:2/22:0, d16:1/24:1)*
Hmdb Id: HMDB0012104
Super Pathway: NA
Sub Pathway: NA
Inchikey: VBFKEZGCUWHGSK

Associated Genomic Regions

Region: rs102275

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:
11
Beta (Ratio):
0.394
Position:
61557803
SE (Ratio):
0.018
Effect Allele:
C
Z-score (Ratio):
21.771
Reference Allele:
T
-log10(P):
-240.300
MAF:
0.347
Beta (Num):
0.288
Novel Locus:
No
SE (Num):
0.016
Beta (Den):
-0.106
SE (Den):
0.015
No CNV overlap
rQTL cluster:
62
Reaction Distance:
NA
Closest Genes:
TMEM258 MYRF FEN1 FADS2 FADS1

LLM Analysis

Numerator Metabolite Explanation:

Glycerophospholipid metabolism

Denominator Metabolite Explanation:

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

Ratio Explanation:

The ratio reflects FADS-mediated desaturation of fatty acids incorporated into complex lipids, indicating a balance between glycerophospholipid and sphingolipid pools.

Ratio Evidence:

metabolites related through biology

Gene Ratio Phenotype Relationship:

Genetic variants in FADS1/FADS2 are associated with altered fatty acid metabolism and inflammation, contributing to phenotypes like valvular heart disease, IBD, and type 2 diabetes by modulating the balance of pro-inflammatory and anti-inflammatory lipid mediators.6[1], 7[2], 8[3], 9[4]

Phenotype Driver:

Gene-centric:FADS1/FADS2

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