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Polygenic determinants in extremes of high-density lipoprotein cholesterol
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 u...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The American Society for Biochemistry and Molecular Biology
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5665671/ https://www.ncbi.nlm.nih.gov/pubmed/28870971 http://dx.doi.org/10.1194/jlr.M079822 |
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author | Dron, Jacqueline S. Wang, Jian Low-Kam, Cécile Khetarpal, Sumeet A. Robinson, John F. McIntyre, Adam D. Ban, Matthew R. Cao, Henian Rhainds, David Dubé, Marie-Pierre Rader, Daniel J. Lettre, Guillaume Tardif, Jean-Claude Hegele, Robert A. |
author_facet | Dron, Jacqueline S. Wang, Jian Low-Kam, Cécile Khetarpal, Sumeet A. Robinson, John F. McIntyre, Adam D. Ban, Matthew R. Cao, Henian Rhainds, David Dubé, Marie-Pierre Rader, Daniel J. Lettre, Guillaume Tardif, Jean-Claude Hegele, Robert A. |
author_sort | Dron, Jacqueline S. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5665671 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | The American Society for Biochemistry and Molecular Biology |
record_format | MEDLINE/PubMed |
spelling | pubmed-56656712017-11-03 Polygenic determinants in extremes of high-density lipoprotein cholesterol Dron, Jacqueline S. Wang, Jian Low-Kam, Cécile Khetarpal, Sumeet A. Robinson, John F. McIntyre, Adam D. Ban, Matthew R. Cao, Henian Rhainds, David Dubé, Marie-Pierre Rader, Daniel J. Lettre, Guillaume Tardif, Jean-Claude Hegele, Robert A. J Lipid Res Patient-Oriented and Epidemiological Research 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. The American Society for Biochemistry and Molecular Biology 2017-11 2017-09-04 /pmc/articles/PMC5665671/ /pubmed/28870971 http://dx.doi.org/10.1194/jlr.M079822 Text en Copyright © 2017 by the American Society for Biochemistry and Molecular Biology, Inc. http://creativecommons.org/licenses/by/4.0/ Author’s Choice—Final version free via Creative Commons CC-BY license. |
spellingShingle | Patient-Oriented and Epidemiological Research Dron, Jacqueline S. Wang, Jian Low-Kam, Cécile Khetarpal, Sumeet A. Robinson, John F. McIntyre, Adam D. Ban, Matthew R. Cao, Henian Rhainds, David Dubé, Marie-Pierre Rader, Daniel J. Lettre, Guillaume Tardif, Jean-Claude Hegele, Robert A. Polygenic determinants in extremes of high-density lipoprotein cholesterol |
title | Polygenic determinants in extremes of high-density lipoprotein cholesterol |
title_full | Polygenic determinants in extremes of high-density lipoprotein cholesterol |
title_fullStr | Polygenic determinants in extremes of high-density lipoprotein cholesterol |
title_full_unstemmed | Polygenic determinants in extremes of high-density lipoprotein cholesterol |
title_short | Polygenic determinants in extremes of high-density lipoprotein cholesterol |
title_sort | polygenic determinants in extremes of high-density lipoprotein cholesterol |
topic | Patient-Oriented and Epidemiological Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5665671/ https://www.ncbi.nlm.nih.gov/pubmed/28870971 http://dx.doi.org/10.1194/jlr.M079822 |
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