Targeted next-generation sequencing to diagnose disorders of HDL cholesterol

Singh N Sadananda1, Jia Nee Foo2, Meng Tiak Toh1

  • 1Translational Laboratory in Genetic Medicine, Agency for Science Technology and Research (ASTAR) and National University of Singapore, Singapore.

Insights

Identifying genetic causes for extreme HDL cholesterol (HDL-C) is crucial for cardiovascular risk assessment. A targeted next-generation sequencing (NGS) assay successfully identified molecular abnormalities in a significant portion of patients with low HDL-C.

Area of Science:

  • Genetics
  • Cardiovascular Medicine
  • Biochemistry

Background:

  • Low high-density lipoprotein cholesterol (HDL-C) is a significant cardiovascular risk factor.
  • Genetic mutations in specific genes can cause extreme HDL-C levels, but molecular diagnosis is infrequently performed.
  • Identifying these genetic underpinnings is essential for personalized risk assessment and management.

Purpose of the Study:

  • To evaluate the accuracy and diagnostic yield of a targeted next-generation sequencing (NGS) assay for identifying genetic causes of extreme HDL-C levels.
  • To assess the utility of NGS in clinical practice for patients with dyslipidemia.
  • To discover novel genetic variants associated with HDL-C metabolism.

Main Methods:

  • Development of a targeted NGS panel covering 26 genes critical for plasma lipid levels.
  • Sequencing of 141 patients with extreme HDL-C (very low or very high).
  • Variant prioritization using established medical genetics guidelines and functional validation of identified variants.

Main Results:

  • A molecular diagnosis was established in 35.9% of patients with low HDL-C and 5.2% of patients with high HDL-C.
  • Thirty-five pathogenic or probably pathogenic variants were identified in HDL genes, including 21 novel variants.
  • All prioritized variants detected by NGS were confirmed via Sanger sequencing, demonstrating high assay accuracy.

Conclusions:

  • Targeted NGS is an accurate and effective method for identifying molecular diagnoses in patients with extreme HDL-C levels, particularly those with low HDL-C.
  • This approach can significantly improve the understanding of genetic contributions to dyslipidemia and cardiovascular risk.
  • The findings support the clinical implementation of targeted NGS for genetic evaluation of extreme HDL-C phenotypes.