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Deep-coverage whole genome sequences and blood lipids among 16,324 individuals

Large-scale deep-coverage whole-genome sequencing (WGS) is now feasible and offers potential advantages for locus discovery. We perform WGS in 16,324 participants from four ancestries at mean depth >29X and analyze genotypes with four quantitative traits—plasma total cholesterol, low-density lipo...

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Autores principales: Natarajan, Pradeep, Peloso, Gina M., Zekavat, Seyedeh Maryam, Montasser, May, Ganna, Andrea, Chaffin, Mark, Khera, Amit V., Zhou, Wei, Bloom, Jonathan M., Engreitz, Jesse M., Ernst, Jason, O’Connell, Jeffrey R., Ruotsalainen, Sanni E., Alver, Maris, Manichaikul, Ani, Johnson, W. Craig, Perry, James A., Poterba, Timothy, Seed, Cotton, Surakka, Ida L., Esko, Tonu, Ripatti, Samuli, Salomaa, Veikko, Correa, Adolfo, Vasan, Ramachandran S., Kellis, Manolis, Neale, Benjamin M., Lander, Eric S., Abecasis, Goncalo, Mitchell, Braxton, Rich, Stephen S., Wilson, James G., Cupples, L. Adrienne, Rotter, Jerome I., Willer, Cristen J., Kathiresan, Sekar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6107638/
https://www.ncbi.nlm.nih.gov/pubmed/30140000
http://dx.doi.org/10.1038/s41467-018-05747-8
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author Natarajan, Pradeep
Peloso, Gina M.
Zekavat, Seyedeh Maryam
Montasser, May
Ganna, Andrea
Chaffin, Mark
Khera, Amit V.
Zhou, Wei
Bloom, Jonathan M.
Engreitz, Jesse M.
Ernst, Jason
O’Connell, Jeffrey R.
Ruotsalainen, Sanni E.
Alver, Maris
Manichaikul, Ani
Johnson, W. Craig
Perry, James A.
Poterba, Timothy
Seed, Cotton
Surakka, Ida L.
Esko, Tonu
Ripatti, Samuli
Salomaa, Veikko
Correa, Adolfo
Vasan, Ramachandran S.
Kellis, Manolis
Neale, Benjamin M.
Lander, Eric S.
Abecasis, Goncalo
Mitchell, Braxton
Rich, Stephen S.
Wilson, James G.
Cupples, L. Adrienne
Rotter, Jerome I.
Willer, Cristen J.
Kathiresan, Sekar
author_facet Natarajan, Pradeep
Peloso, Gina M.
Zekavat, Seyedeh Maryam
Montasser, May
Ganna, Andrea
Chaffin, Mark
Khera, Amit V.
Zhou, Wei
Bloom, Jonathan M.
Engreitz, Jesse M.
Ernst, Jason
O’Connell, Jeffrey R.
Ruotsalainen, Sanni E.
Alver, Maris
Manichaikul, Ani
Johnson, W. Craig
Perry, James A.
Poterba, Timothy
Seed, Cotton
Surakka, Ida L.
Esko, Tonu
Ripatti, Samuli
Salomaa, Veikko
Correa, Adolfo
Vasan, Ramachandran S.
Kellis, Manolis
Neale, Benjamin M.
Lander, Eric S.
Abecasis, Goncalo
Mitchell, Braxton
Rich, Stephen S.
Wilson, James G.
Cupples, L. Adrienne
Rotter, Jerome I.
Willer, Cristen J.
Kathiresan, Sekar
author_sort Natarajan, Pradeep
collection PubMed
description Large-scale deep-coverage whole-genome sequencing (WGS) is now feasible and offers potential advantages for locus discovery. We perform WGS in 16,324 participants from four ancestries at mean depth >29X and analyze genotypes with four quantitative traits—plasma total cholesterol, low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol, and triglycerides. Common variant association yields known loci except for few variants previously poorly imputed. Rare coding variant association yields known Mendelian dyslipidemia genes but rare non-coding variant association detects no signals. A high 2M-SNP LDL-C polygenic score (top 5th percentile) confers similar effect size to a monogenic mutation (~30 mg/dl higher for each); however, among those with severe hypercholesterolemia, 23% have a high polygenic score and only 2% carry a monogenic mutation. At these sample sizes and for these phenotypes, the incremental value of WGS for discovery is limited but WGS permits simultaneous assessment of monogenic and polygenic models to severe hypercholesterolemia.
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spelling pubmed-61076382018-08-27 Deep-coverage whole genome sequences and blood lipids among 16,324 individuals Natarajan, Pradeep Peloso, Gina M. Zekavat, Seyedeh Maryam Montasser, May Ganna, Andrea Chaffin, Mark Khera, Amit V. Zhou, Wei Bloom, Jonathan M. Engreitz, Jesse M. Ernst, Jason O’Connell, Jeffrey R. Ruotsalainen, Sanni E. Alver, Maris Manichaikul, Ani Johnson, W. Craig Perry, James A. Poterba, Timothy Seed, Cotton Surakka, Ida L. Esko, Tonu Ripatti, Samuli Salomaa, Veikko Correa, Adolfo Vasan, Ramachandran S. Kellis, Manolis Neale, Benjamin M. Lander, Eric S. Abecasis, Goncalo Mitchell, Braxton Rich, Stephen S. Wilson, James G. Cupples, L. Adrienne Rotter, Jerome I. Willer, Cristen J. Kathiresan, Sekar Nat Commun Article Large-scale deep-coverage whole-genome sequencing (WGS) is now feasible and offers potential advantages for locus discovery. We perform WGS in 16,324 participants from four ancestries at mean depth >29X and analyze genotypes with four quantitative traits—plasma total cholesterol, low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol, and triglycerides. Common variant association yields known loci except for few variants previously poorly imputed. Rare coding variant association yields known Mendelian dyslipidemia genes but rare non-coding variant association detects no signals. A high 2M-SNP LDL-C polygenic score (top 5th percentile) confers similar effect size to a monogenic mutation (~30 mg/dl higher for each); however, among those with severe hypercholesterolemia, 23% have a high polygenic score and only 2% carry a monogenic mutation. At these sample sizes and for these phenotypes, the incremental value of WGS for discovery is limited but WGS permits simultaneous assessment of monogenic and polygenic models to severe hypercholesterolemia. Nature Publishing Group UK 2018-08-23 /pmc/articles/PMC6107638/ /pubmed/30140000 http://dx.doi.org/10.1038/s41467-018-05747-8 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Natarajan, Pradeep
Peloso, Gina M.
Zekavat, Seyedeh Maryam
Montasser, May
Ganna, Andrea
Chaffin, Mark
Khera, Amit V.
Zhou, Wei
Bloom, Jonathan M.
Engreitz, Jesse M.
Ernst, Jason
O’Connell, Jeffrey R.
Ruotsalainen, Sanni E.
Alver, Maris
Manichaikul, Ani
Johnson, W. Craig
Perry, James A.
Poterba, Timothy
Seed, Cotton
Surakka, Ida L.
Esko, Tonu
Ripatti, Samuli
Salomaa, Veikko
Correa, Adolfo
Vasan, Ramachandran S.
Kellis, Manolis
Neale, Benjamin M.
Lander, Eric S.
Abecasis, Goncalo
Mitchell, Braxton
Rich, Stephen S.
Wilson, James G.
Cupples, L. Adrienne
Rotter, Jerome I.
Willer, Cristen J.
Kathiresan, Sekar
Deep-coverage whole genome sequences and blood lipids among 16,324 individuals
title Deep-coverage whole genome sequences and blood lipids among 16,324 individuals
title_full Deep-coverage whole genome sequences and blood lipids among 16,324 individuals
title_fullStr Deep-coverage whole genome sequences and blood lipids among 16,324 individuals
title_full_unstemmed Deep-coverage whole genome sequences and blood lipids among 16,324 individuals
title_short Deep-coverage whole genome sequences and blood lipids among 16,324 individuals
title_sort deep-coverage whole genome sequences and blood lipids among 16,324 individuals
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6107638/
https://www.ncbi.nlm.nih.gov/pubmed/30140000
http://dx.doi.org/10.1038/s41467-018-05747-8
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