Large-Scale Gene-Centric Meta-analysis across 32 Studies Identifies Multiple Lipid Loci
Key result
Dense gene-centric meta-analysis identifies novel SNPs explaining up to ~10% of lipid variance.
- n=66,240
Why the study?
Additional loci associated with plasma-lipid phenotypes may be identified by a dense gene-centric approach beyond those found by previous GWASs.
Population
66,240 individuals of European ancestry from 32 studies
Comparison
Dense gene-centric genotyping approach using custom ~50,000 SNP array vs previous GWAS findings
Design
Large-scale gene-centric meta-analysis with replication in additional 24,736 samples or Global Lipid Genetic Consortium
Authors
Discussion
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Member takes
Implication
No immediate change to lipid management; extends genetic architecture of dyslipidemia for future studies.
Study Design
Type
Meta-Analysis (n=66,240)
Multicenter
Yes
Structured PICO
P
Population
66,240 individuals of European ancestry across 32 studies analyzed for genetic associations with plasma-lipid phenotypes.
E
Exposure
Dense gene-centric genotyping approach using a custom ~50,000 SNP array (ITMAT-Broad-CARe array) covering ~2,000 candidate genes
O
Outcome
Associations between SNPs and plasma-lipid phenotypes (HDL-C, LDL-C, total cholesterol, and triglycerides)surrogate
A large-scale gene-centric meta-analysis identified multiple novel SNPs associated with plasma lipid levels, explaining approximately 8-10% of phenotypic variance.
Cite This Study
Asselbergs et al. (2012) conducted a meta-analysis in Plasma-lipid variations (n=66,240). Genetic variants (SNPs) was evaluated on Proportion of explained phenotypic variance for HDL-C, LDL-C, TC, and TGs. A dense gene-centric meta-analysis identified multiple unreported SNPs in established and novel genes, explaining 8.0% to 10.3% of the phenotypic variance in plasma lipids.