docosatrienoate (22:3n3) to 1-stearoyl-2-docosahexaenoyl-gpc (18:0/22:6)

Numerator Metabolite

Structure of docosatrienoate (22:3n3)
Metabolite Accession: GCST90199710
Name: docosatrienoate (22:3n3)
Hmdb Id: HMDB0002823
Super Pathway: NA
Sub Pathway: NA
Inchikey: WBBQTNCISCKUMU

Denominator Metabolite

Structure of 1-stearoyl-2-docosahexaenoyl-gpc (18:0/22:6)
Metabolite Accession: GCST90200046
Name: 1-stearoyl-2-docosahexaenoyl-gpc (18:0/22:6)
Hmdb Id: HMDB0008057
Super Pathway: NA
Sub Pathway: NA
Inchikey: FAUYAENFVCNTAL

Associated Genomic Regions

Region: rs174568

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):
0.470
Position:
61593816
SE (Ratio):
0.024
Effect Allele:
T
Z-score (Ratio):
19.594
Reference Allele:
C
-log10(P):
-195.161
MAF:
0.372
Beta (Num):
0.226
Novel Locus:
No
SE (Num):
0.018
Beta (Den):
-0.245
SE (Den):
0.016
No CNV overlap
rQTL cluster:
Reaction Distance:
NA
Closest Genes:

LLM Analysis

Numerator Metabolite Explanation:

Polyunsaturated fatty acid biosynthesis.3[1], 4[2]

Denominator Metabolite Explanation:

Glycerophospholipid metabolism.5[1]

Ratio Explanation:

The ratio reflects FADS enzyme activity; higher levels suggest reduced desaturation of fatty acid precursors, impacting the incorporation of DHA into complex phospholipids.

Ratio Evidence:

reaction where the ratio is shared through a pathway

Gene Ratio Phenotype Relationship:

Variants in FADS1/FADS2 alter polyunsaturated fatty acid metabolism, as reflected by the ratio.1[1] This dysregulation is linked to cardiometabolic phenotypes like dyslipidemia and Type 2 diabetes by affecting inflammatory processes and lipid levels, which are strongly associated with these conditions.6[2], 7[3], 8[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