Evidence map›Paper›PMID 28870971›Full record

ArticleJournal of lipid research2017

Polygenic determinants in extremes of high-density lipoprotein cholesterol.

Jacqueline S Dron, Jian Wang, Cécile Low-Kam, Sumeet A Khetarpal, John F Robinson, Adam D McIntyre, Matthew R Ban, Henian Cao, David Rhainds, Marie-Pierre Dubé and 4 more

Abstract read
In one paragraph

Article in Journal of lipid research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

28 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Very low HDL levels: clinical assessment and management.Archives of endocrinology and metabolism · 2023
    Review
  12. Article
  13. Review
  14. A Modern Approach to Dyslipidemia.Endocrine reviews · 2022
    Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. PartialJournal of lipid research · 2019
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Jacqueline S DronDepartment of Biochemistry, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.
Jian WangRobarts Research Institute, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.
Cécile Low-KamMontréal Heart Institute et Faculté de Médecine, Université de Montréal, Montréal, Québec, Canada.
Sumeet A KhetarpalDepartments of Genetics and Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
John F RobinsonRobarts Research Institute, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.
Adam D McIntyreRobarts Research Institute, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.
Matthew R BanRobarts Research Institute, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.
Henian CaoRobarts Research Institute, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.
David RhaindsMontréal Heart Institute et Faculté de Médecine, Université de Montréal, Montréal, Québec, Canada.
Marie-Pierre DubéMontréal Heart Institute et Faculté de Médecine, Université de Montréal, Montréal, Québec, Canada.
Daniel J RaderDepartments of Genetics, Medicine, and Pediatrics, the Cardiovascular Institute, and the Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
Guillaume LettreMontréal Heart Institute et Faculté de Médecine, Université de Montréal, Montréal, Québec, Canada.
Jean-Claude TardifMontréal Heart Institute et Faculté de Médecine, Université de Montréal, Montréal, Québec, Canada.
Robert A HegeleDepartment of Biochemistry, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada hegele@robarts.ca.ORCID 0000-0003-2861-5325

Funding

CIHR
6 · The paper itself

Abstract

HDL cholesterol (HDL-C) remains a superior biochemical predictor of CVD risk, but its genetic basis is incompletely defined. In patients with extreme HDL-C concentrations, we concurrently evaluated the contributions of multiple large- and small-effect genetic variants. In a discovery cohort of 255 unrelated lipid clinic patients with extreme HDL-C levels, we used a targeted next-generation sequencing panel to evaluate rare variants in known HDL metabolism genes, simultaneously with common variants bundled into a polygenic trait score. Two additional cohorts were used for validation and included 1,746 individuals from the Montréal Heart Institute Biobank and 1,048 individuals from the University of Pennsylvania. Findings were consistent between cohorts: we found rare heterozygous large-effect variants in 18.7% and 10.9% of low- and high-HDL-C patients, respectively. We also found common variant accumulation, indicated by extreme polygenic trait scores, in an additional 12.8% and 19.3% of overall cases of low- and high-HDL-C extremes, respectively. Thus, the genetic basis of extreme HDL-C concentrations encountered clinically is frequently polygenic, with contributions from both rare large-effect and common small-effect variants. Multiple types of genetic variants should be considered as contributing factors in patients with extreme dyslipidemia.

Indexed as

GenotypeAdultAgedCholesterol, HDLFemaleGenetic VariationHigh-Throughput Nucleotide SequencingHumansMaleMiddle AgedCholesterol, HDLcommon variantscomplex traitdyslipidemiasgenes in lipid dysfunctiongeneticsgenomicsnext-generation sequencingpolygenic risk scorerare variants

Identifiers

PMID28870971
PMCPMC5665671

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.