Publication | Open Access
Deep-coverage whole genome sequences and blood lipids among 16,324 individuals
190
Citations
56
References
2018
Year
GeneticsGenetic EpidemiologyHuman PolymorphismGenomicsLocus DiscoveryHigh Throughput SequencingGenome-wide Association StudiesGenome-wide Association StudyGenotype-phenotype AssociationGenome AnalysisBiostatisticsPublic HealthVariant InterpretationQuantitative GeneticsStatistical GeneticsSevere HypercholesterolemiaSequencingFunctional GenomicsBioinformaticsEpidemiologyAllelic VariantNext-generation SequencingComputational BiologyLow-density Lipoprotein CholesterolBlood LipidsGenome SequencingSystems BiologyMedicine
Large-scale deep-coverage whole-genome sequencing (WGS) is now feasible and offers potential advantages for locus discovery. We perform WGS in 16,324 participants from four ancestries at mean depth >29X and analyze genotypes with four quantitative traits-plasma total cholesterol, low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol, and triglycerides. Common variant association yields known loci except for few variants previously poorly imputed. Rare coding variant association yields known Mendelian dyslipidemia genes but rare non-coding variant association detects no signals. A high 2M-SNP LDL-C polygenic score (top 5th percentile) confers similar effect size to a monogenic mutation (~30 mg/dl higher for each); however, among those with severe hypercholesterolemia, 23% have a high polygenic score and only 2% carry a monogenic mutation. At these sample sizes and for these phenotypes, the incremental value of WGS for discovery is limited but WGS permits simultaneous assessment of monogenic and polygenic models to severe hypercholesterolemia.
| Year | Citations | |
|---|---|---|
Page 1
Page 1