Nature Communications (Aug 2018)
Deep-coverage whole genome sequences and blood lipids among 16,324 individuals
- Pradeep Natarajan,
- Gina M. Peloso,
- Seyedeh Maryam Zekavat,
- May Montasser,
- Andrea Ganna,
- Mark Chaffin,
- Amit V. Khera,
- Wei Zhou,
- Jonathan M. Bloom,
- Jesse M. Engreitz,
- Jason Ernst,
- Jeffrey R. O’Connell,
- Sanni E. Ruotsalainen,
- Maris Alver,
- Ani Manichaikul,
- W. Craig Johnson,
- James A. Perry,
- Timothy Poterba,
- Cotton Seed,
- Ida L. Surakka,
- Tonu Esko,
- Samuli Ripatti,
- Veikko Salomaa,
- Adolfo Correa,
- Ramachandran S. Vasan,
- Manolis Kellis,
- Benjamin M. Neale,
- Eric S. Lander,
- Goncalo Abecasis,
- Braxton Mitchell,
- Stephen S. Rich,
- James G. Wilson,
- L. Adrienne Cupples,
- Jerome I. Rotter,
- Cristen J. Willer,
- Sekar Kathiresan,
- NHLBI TOPMed Lipids Working Group
Affiliations
- Pradeep Natarajan
- Center for Genomic Medicine and Cardiovascular Research Center, Massachusetts General Hospital
- Gina M. Peloso
- Department of Biostatistics, Boston University School of Public Health
- Seyedeh Maryam Zekavat
- Broad Institute of Harvard & MIT
- May Montasser
- School of Medicine, University of Maryland
- Andrea Ganna
- Broad Institute of Harvard & MIT
- Mark Chaffin
- Broad Institute of Harvard & MIT
- Amit V. Khera
- Center for Genomic Medicine and Cardiovascular Research Center, Massachusetts General Hospital
- Wei Zhou
- Department of Computational Medicine and Bioinformatics, School of Public Health, University of Michigan
- Jonathan M. Bloom
- Broad Institute of Harvard & MIT
- Jesse M. Engreitz
- Broad Institute of Harvard & MIT
- Jason Ernst
- Department of Biological Chemistry, University of California, Los Angeles
- Jeffrey R. O’Connell
- School of Medicine, University of Maryland
- Sanni E. Ruotsalainen
- Institute for Molecular Medicine Finland
- Maris Alver
- Estonian Genome Center, University of Tartu
- Ani Manichaikul
- Center for Public Health Genomics, University of Virginia
- W. Craig Johnson
- Department of Biostatistics, University of Washington
- James A. Perry
- School of Medicine, University of Maryland
- Timothy Poterba
- Broad Institute of Harvard & MIT
- Cotton Seed
- Broad Institute of Harvard & MIT
- Ida L. Surakka
- Institute for Molecular Medicine Finland
- Tonu Esko
- Estonian Genome Center, University of Tartu
- Samuli Ripatti
- Institute for Molecular Medicine Finland
- Veikko Salomaa
- Institute for Molecular Medicine Finland
- Adolfo Correa
- Department of Medicine, University of Mississippi Medical Center
- Ramachandran S. Vasan
- Sections of Preventive Medicine and Epidemiology and Cardiology, Department of Medicine, Boston University School of Medicine
- Manolis Kellis
- Broad Institute of Harvard & MIT
- Benjamin M. Neale
- Center for Genomic Medicine and Cardiovascular Research Center, Massachusetts General Hospital
- Eric S. Lander
- Broad Institute of Harvard & MIT
- Goncalo Abecasis
- Department of Biostatistics, School of Public Health, University of Michigan
- Braxton Mitchell
- School of Medicine, University of Maryland
- Stephen S. Rich
- Center for Public Health Genomics, University of Virginia
- James G. Wilson
- Department of Medicine, University of Mississippi Medical Center
- L. Adrienne Cupples
- Department of Biostatistics, Boston University School of Public Health
- Jerome I. Rotter
- Institute for Translational Genomics and Population Sciences, LABioMed and Departments of Pediatrics and Medicine, Harbor-UCLA Medical Center
- Cristen J. Willer
- Departments of Human Genetics, Internal Medicine, and Computational Medicine and Bioinformatics, University of Michigan
- Sekar Kathiresan
- Center for Genomic Medicine and Cardiovascular Research Center, Massachusetts General Hospital
- NHLBI TOPMed Lipids Working Group
- DOI
- https://doi.org/10.1038/s41467-018-05747-8
- Journal volume & issue
-
Vol. 9,
no. 1
pp. 1 – 12
Abstract
Common genetic variants associated with plasma lipids have been extensively studied for a better understanding of common diseases. Here, the authors use whole-genome sequencing of 16,324 individuals to analyze rare variant associations and to determine their monogenic and polygenic contribution to lipid traits.
