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Updated: May 3, 2026

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
Published on: January 16, 2019
Whole-exome sequencing identifies rare and low-frequency coding variants associated with LDL cholesterol
Leslie A Lange1, Youna Hu2, He Zhang3
1Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Rare genetic variants in PNPLA5 and known lipid genes significantly impact low-density lipoprotein cholesterol (LDL-C) levels. This whole-exome sequencing study reveals novel insights into genetic contributions to high LDL-C, a key cardiovascular disease risk factor.
Area of Science:
- Genetics
- Cardiovascular Disease
- Lipid Metabolism
Background:
- Elevated low-density lipoprotein cholesterol (LDL-C) is a heritable risk factor for cardiovascular disease.
- Genome-wide association studies (GWASs) identify common variants but are limited in assessing rare variant impact on lipid levels.
Purpose of the Study:
- To investigate the association between rare and low-frequency coding variants and LDL-C levels.
- To identify novel genes and variants contributing to extreme LDL-C phenotypes.
Main Methods:
- Whole-exome sequencing of 2,005 individuals, including those with extreme LDL-C.
- Follow-up sequencing in 1,302 additional individuals and genotype analysis in 52,221 individuals.
- Analysis focused on the burden of rare or low-frequency variants in lipid-related genes.
Main Results:
- Significant association found between LDL-C and rare variants in PNPLA5, PCSK9, LDLR, and APOB.
- PNPLA5, a novel gene in this context, showed a significant association with LDL-C.
- Effect sizes for rare variant burdens were greater than those for individual single nucleotide polymorphisms (SNPs) from GWASs.
Conclusions:
- Whole-exome sequencing effectively identifies rare variants influencing LDL-C.
- This study implicates PNPLA5 in LDL-C regulation and provides a framework for future genetic studies of lipid disorders.
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