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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...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The American Society for Biochemistry and Molecular Biology 2017
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.
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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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