Common SNPs explain much of MetS-trait heritability
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.
Source
Heritability and genetic correlations explained by common SNPs for metabolic syndrome traits
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.
What they did
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.
What they found
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.
The limits
What it doesn't show
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.
Key terms
- Narrow-sense heritability (h²)
- Additive genetic share of trait variance among people.
- hg²
- Heritability captured by common SNP markers surveyed in GWAS.
- MetS traits
- Component traits tied to metabolic syndrome, T2D, and heart disease risk.
- Genetic correlation
- Shared genetic basis between two traits; here predictable from phenotypic correlation.
- ARIC / FHS
- Cohorts supplying SNP-based relatedness and MetS trait measures.
Flashcards
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Main genetic finding?
Common questions
What genetic claim is central?
Common GWAS SNPs contain much of the previously unaccounted heritability for MetS traits.
About what share of h² does hg² explain (median framing)?
About 39% of h² for these MetS traits.
How many SNPs in ARIC analyses?
436,126 genome-wide common SNP markers.
What about trait–trait genetics?
Genetic correlations could be predicted from phenotypic correlations.
Is this a clinical polygenic score paper?
No — it quantifies SNP heritability/genetic correlation structure, not a bedside MetS classifier.
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