Omics · study · 2026
Rare variants in a PCSK9 distal-enhancer as drivers of LDL-cholesterol levels
Listed in NCBI GEO
BACKGROUND.
Description
Discoveries of genetic causes of dyslipidemia have significantly advanced our understanding of lipoprotein metabolism and its implications in cardiometabolic diseases. However, a significant number of patients with dyslipidemia still have unidentified genetic causes.
Leveraging insights from genome-wide association studies, where most common associated variants are located in non-coding regions, we propose that rare non-coding variants located in genomic regulatory regions may be responsible for dyslipidemia. METHODS. Using whole-genome sequencing data from the UK Biobank (n > 200,000), we performed region-based rare-variant association analyses, focusing on liver specific genomic regulatory regions (assessed by transposase-accessible chromatin assay coupled with sequencing (ATAC-seq)), to assess whether the cumulative burden of rare genetic variants (allele frequency < 0.01) in these genomic regulatory regions was associated with LDL-cholesterol levels.
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To validate our findings, we used an advanced cellular model of human induced pluripotent stem cells (hiPSCs) stably expressing a CRISPR-interference system. This system enables, when combined with guide-RNAs, to target regions of interest and silence regulated genes. RESULTS.
We found that the cumulative burden of rare genetic variants in 18 among 53,039 ATAC-seq peaks in human liver, is significantly associated with LDL-cholesterol. We focus our proof-of-concept study on a peak located ~17 kb upstream PCSK9, strongly associated with LDL-cholesterol (p=5.85e-52), apolipoprotein-B (p=3.82e-49) and PCSK9 plasma levels (p=1.15e-67). We showed that this regulatory region is also active in hiPSCs and hiPSC-derived liver organoids.
When transfected with guide-RNAs targeting this region, we showed that CRISPRi-hiPSCs present a hypermethylation of the targeted region which in terms leads to a substantial decrease in PCSK9 gene expression (-48%), intracellular protein (-65%) and secretion (-36%) (p<0.001). CONCLUSIONS. This study identifies a non-coding genetic region upstream PCSK9 where rare variants lead to decreased PCSK9 expression and lowered LDL-cholesterol.
Such findings advocate for the genetic screening of non-coding regulatory regions in patients with unidentified genetic causes of extreme dyslipidemia and open novel perspectives for genetic regulatory therapeutic intervention.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE339nnn/GSE339521 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE339521 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1499110 ncbi.nlm.nih.gov/bioproject/PRJNA1499110 ↗
project · from NCBI GEO
Topics
- Stated by source
- Genome binding/occupancy profiling by high throughput sequencing · Homo sapiens
- From keywords
- Life Sciences
- Inferred from text
- Genome sequencing 65% · Sequencing 75%
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE339521 | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[method].geo_series_type:genome-binding-occupancy-profiling-by-high-throughput-sequencing | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[modality].local:modality:genome-sequencing | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[modality].local:modality:sequencing | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[organism].NCBITaxon:9606 | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /taxon |
| description | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /summary |
| publication_date | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| title | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /title |