Diabetes
Common SNPs explain much of MetS-trait heritability
Open access · cc0 · source: Europe PMC
Using ARIC/FHS SNP relationships, authors show common GWAS markers capture a large share of narrow-sense heritability for MetS-related traits (~39% of h² via hg²) and that genetic correlations between traits track phenotypic correlations.
Study at a glance
- Design
- Computational / modelling — GREML-style common-SNP heritability (hg²) vs pedigree h² in ARIC (FHS checks)
- N
- N=8451 · ARIC GWAS analysis population for MetS trait hg² estimates
- Population
- ARIC (and FHS check) participants with genome-wide SNP data and MetS traits
- Outcome
- Common-SNP heritability and genetic correlations among metabolic syndrome traits
Structured fields used in claim comparison tables when every cited study has a complete layer.
Key findings
For most MetS traits, much previously “missing” heritability sits in common GWAS markers; median comparisons suggested hg² explains about 39% of h². Genetic correlations between MetS traits could be predicted from phenotypic correlations — shared genetics aligns with shared phenotypes.
Methodology
Authors applied GREML-style models to quantify heritability captured by common SNPs (hg²) versus pedigree-style narrow-sense heritability (h²) for metabolic syndrome traits linked to type 2 diabetes and heart disease, using hundreds of thousands of SNPs in ARIC (and FHS for related checks) and estimating genetic correlations between traits.
Limitations
SNP heritability is not a personalized MetS risk score by itself. ~39% of h² via common SNPs still leaves room for rare variants, environment, and model assumptions. Genetic correlation ≠ one shared drug target.
How this study connects
Role on claims
Each row is a claim on a concept or method page where this paper supports, challenges, or qualifies the statement. Roles are hand-checked — not a model guess.
Gut microbiota composition associates with metabolites and MetS-related traits in men.
In middle-aged men, gut microbiota composition associated with plasma metabolites and metabolic-syndrome–related traits — a microbiome correlate of MetS biology, not a proof that changing stool taxa remits the syndrome.
Scope note — different level — common-SNP heritability of MetS traits, not stool microbiota
Limits the claim's scope: a different population, assay, or outcome.
Common GWAS SNPs capture a large share of MetS-trait heritability.
SNP-based models in ARIC/FHS suggest common markers explain much previously missing heritability for MetS traits (hg² ≈ 39% of h² in the authors’ median framing), with genetic correlations tracking phenotypic ones.
Evidence for the claim as stated.
Microbiome correlates, methylation-age risk, acute dietary transcript shifts, and SNP heritability all sit under MetS without sharing one assay or one intervention claim.
Evidence for the claim as stated.
Open questions
Tensions this paper is part of
From concept pages' “where studies disagree.” Disagreement means the same question; scope means different assays, populations, or outcomes.
Microbiome correlates, methylation-age risk, acute dietary transcript shifts, and SNP heritability all sit under MetS without sharing one assay or one intervention claim.
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