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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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2018
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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. |
format | Online Article Text |
id | pubmed-6107638 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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