Research
Print page Print page
Switch language
The Capital Region of Denmark - a part of Copenhagen University Hospital
Published

Genome-wide association study of lipids in Greenlandic Inuit show large-effect size and independent associations and reveals a unique genetic architecture (PrgmNr 2036)

Research output: Contribution to conferenceConference abstract for conferenceResearchpeer-review

  1. Low prevalence of retinopathy among Greenland Inuit

    Research output: Contribution to journalJournal articleResearchpeer-review

  2. A large remaining potential in lipid-lowering drug treatment in the type 2 diabetes population: A Danish nationwide cohort study

    Research output: Contribution to journalJournal articleResearchpeer-review

  3. Incidence of HPV-related Anogenital Intraepithelial Neoplasia and Cancer in Men With Diabetes Compared With the General Population

    Research output: Contribution to journalJournal articleResearchpeer-review

  • Ninna Senftleber
  • Emil Jørsboe
  • Mette Andersen
  • Genis Garcia-Erill
  • Jonas Meisner
  • Niels Grarup
  • Arthur Gilly
  • Peter Bjerregaard
  • Christina Viskum Lytken Larsen
  • Marit Eika Jørgensen
  • Eleftheria Zeggini
  • Ida Moltke
  • Torben Hansen
  • Anders Albrechtsen
View graph of relations
Objective: Perturbation of the lipid homeostasis is a key risk factor for cardiovascular disease (CVD), the leading cause of death worldwide. We aimed to investigate the role genetics plays for lipid levels, and via these CVD, in Greenlanders.
Methods: Using imputed data from 4473 Greenlanders, we performed a genome-wide association study (GWAS) of levels of six blood lipids and lipoproteins: triglycerides, LDL-cholesterol, HDL-cholesterol, total cholesterol, apolipoprotein A1, and apolipoprotein B. For relevant genome-wide significant variants, we then tested for associations with additional traits and outcomes, including risk of CVD and RNA expression. Finally, we investigated the combined effect of the independent genome-wide significant variants using genetic risk scores (GRSs).
Results: The GWAS identified 11 genome-wide significant loci, of which 9 were known. Two were potentially novel, however, they were more frequent in Europeans and not Bonferroni significant and therefore need independent replication to be validated. In the PCSK9 locus, we identified an association signal, which was independent of the well-described PCSK9 loss-of-function variant rs11591147. The derived allele of the lead SNP, rs4927191, in this locus was associated with lower levels of LDL-cholesterol (beta(SD)=-0.226, p=1.24e-12) and total cholesterol (beta(SD)=-0.169, p=2.28e-9). Interestingly, it was also associated with a lower risk of peripheral artery disease (hazard ratio=0.30 per allele, p=0.01), and was a top eQTL signal for PCSK9 across all tissues in GTEx. A variant (rs12117661) in LD with the lead SNP showed similar results, and there were furthermore indications of rs12117661 being located in a predicted regulatory element. When combining the GWAS hits into GRSs using 10-fold cross-validation, these scores alone explained up to 16.3% of the variance of the lipid traits. Furthermore, the GRSs for LDL-cholesterol, total cholesterol and apolipoprotein B were associated with increased risk of several types of CVD events.
Conclusion: We identified a possible causal variant that affected lipid levels and CVD risk by regulating the expression of PCSK9. Furthermore, we found that in the Greenlandic population much more of the variance in lipid levels can be explained with markedly fewer variants than in large European populations, supporting a marked difference in genetic architecture.
Original languageDanish
Publication dateOct 2021
Publication statusPublished - Oct 2021
EventAmerican Society of Human Genetics 2021 - Virtuel, United States
Duration: 18 Oct 202122 Oct 2021
https://www.ashg.org/meetings/2021meeting/

Conference

ConferenceAmerican Society of Human Genetics 2021
LocationVirtuel
CountryUnited States
Period18/10/202122/10/2021
Internet address

Event

American Society of Human Genetics 2021

18/10/202122/10/2021

United States

Event: Conference

ID: 68716059