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Systematic elucidation of genetic mechanisms underlying cholesterol uptake

Genetic variation contributes greatly to LDL cholesterol (LDL-C) levels and coronary artery disease risk. By combining analysis of rare coding variants from the UK Biobank and genome-scale CRISPR-Cas9 knockout and activation screening, we have substantially improved the identification of genes whose...

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Autores principales: Hamilton, Marisa C., Fife, James D., Akinci, Ersin, Yu, Tian, Khowpinitchai, Benyapa, Cha, Minsun, Barkal, Sammy, Thi, Thi Tun, Yeo, Grace H.T., Ramos Barroso, Juan Pablo, Jake Francoeur, Matthew, Velimirovic, Minja, Gifford, David K., Lettre, Guillaume, Yu, Haojie, Cassa, Christopher A., Sherwood, Richard I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9881906/
https://www.ncbi.nlm.nih.gov/pubmed/36711952
http://dx.doi.org/10.1101/2023.01.09.500804
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author Hamilton, Marisa C.
Fife, James D.
Akinci, Ersin
Yu, Tian
Khowpinitchai, Benyapa
Cha, Minsun
Barkal, Sammy
Thi, Thi Tun
Yeo, Grace H.T.
Ramos Barroso, Juan Pablo
Jake Francoeur, Matthew
Velimirovic, Minja
Gifford, David K.
Lettre, Guillaume
Yu, Haojie
Cassa, Christopher A.
Sherwood, Richard I.
author_facet Hamilton, Marisa C.
Fife, James D.
Akinci, Ersin
Yu, Tian
Khowpinitchai, Benyapa
Cha, Minsun
Barkal, Sammy
Thi, Thi Tun
Yeo, Grace H.T.
Ramos Barroso, Juan Pablo
Jake Francoeur, Matthew
Velimirovic, Minja
Gifford, David K.
Lettre, Guillaume
Yu, Haojie
Cassa, Christopher A.
Sherwood, Richard I.
author_sort Hamilton, Marisa C.
collection PubMed
description Genetic variation contributes greatly to LDL cholesterol (LDL-C) levels and coronary artery disease risk. By combining analysis of rare coding variants from the UK Biobank and genome-scale CRISPR-Cas9 knockout and activation screening, we have substantially improved the identification of genes whose disruption alters serum LDL-C levels. We identify 21 genes in which rare coding variants significantly alter LDL-C levels at least partially through altered LDL-C uptake. We use co-essentiality-based gene module analysis to show that dysfunction of the RAB10 vesicle transport pathway leads to hypercholesterolemia in humans and mice by impairing surface LDL receptor levels. Further, we demonstrate that loss of function of OTX2 leads to robust reduction in serum LDL-C levels in mice and humans by increasing cellular LDL-C uptake. Altogether, we present an integrated approach that improves our understanding of genetic regulators of LDL-C levels and provides a roadmap for further efforts to dissect complex human disease genetics.
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spelling pubmed-98819062023-01-28 Systematic elucidation of genetic mechanisms underlying cholesterol uptake Hamilton, Marisa C. Fife, James D. Akinci, Ersin Yu, Tian Khowpinitchai, Benyapa Cha, Minsun Barkal, Sammy Thi, Thi Tun Yeo, Grace H.T. Ramos Barroso, Juan Pablo Jake Francoeur, Matthew Velimirovic, Minja Gifford, David K. Lettre, Guillaume Yu, Haojie Cassa, Christopher A. Sherwood, Richard I. bioRxiv Article Genetic variation contributes greatly to LDL cholesterol (LDL-C) levels and coronary artery disease risk. By combining analysis of rare coding variants from the UK Biobank and genome-scale CRISPR-Cas9 knockout and activation screening, we have substantially improved the identification of genes whose disruption alters serum LDL-C levels. We identify 21 genes in which rare coding variants significantly alter LDL-C levels at least partially through altered LDL-C uptake. We use co-essentiality-based gene module analysis to show that dysfunction of the RAB10 vesicle transport pathway leads to hypercholesterolemia in humans and mice by impairing surface LDL receptor levels. Further, we demonstrate that loss of function of OTX2 leads to robust reduction in serum LDL-C levels in mice and humans by increasing cellular LDL-C uptake. Altogether, we present an integrated approach that improves our understanding of genetic regulators of LDL-C levels and provides a roadmap for further efforts to dissect complex human disease genetics. Cold Spring Harbor Laboratory 2023-01-10 /pmc/articles/PMC9881906/ /pubmed/36711952 http://dx.doi.org/10.1101/2023.01.09.500804 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator.
spellingShingle Article
Hamilton, Marisa C.
Fife, James D.
Akinci, Ersin
Yu, Tian
Khowpinitchai, Benyapa
Cha, Minsun
Barkal, Sammy
Thi, Thi Tun
Yeo, Grace H.T.
Ramos Barroso, Juan Pablo
Jake Francoeur, Matthew
Velimirovic, Minja
Gifford, David K.
Lettre, Guillaume
Yu, Haojie
Cassa, Christopher A.
Sherwood, Richard I.
Systematic elucidation of genetic mechanisms underlying cholesterol uptake
title Systematic elucidation of genetic mechanisms underlying cholesterol uptake
title_full Systematic elucidation of genetic mechanisms underlying cholesterol uptake
title_fullStr Systematic elucidation of genetic mechanisms underlying cholesterol uptake
title_full_unstemmed Systematic elucidation of genetic mechanisms underlying cholesterol uptake
title_short Systematic elucidation of genetic mechanisms underlying cholesterol uptake
title_sort systematic elucidation of genetic mechanisms underlying cholesterol uptake
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9881906/
https://www.ncbi.nlm.nih.gov/pubmed/36711952
http://dx.doi.org/10.1101/2023.01.09.500804
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