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Sequencing of 53,831 diverse genomes from the NHLBI TOPMed Program

Authors :
Nancy L. Heard-Costa
Lucas Barwick
Clary B. Clish
Celeste Eng
Joanne M. Murabito
Esteban G. Burchard
Yii-Der Ida Chen
Daniel I. Chasman
Robert C. Kaplan
James B. Meigs
Deborah A. Nickerson
Cashell E. Jaquish
Eric Boerwinkle
Jennifer A. Brody
Charles Kooperberg
Mark T. Gladwin
Sebastian Schoenherr
Keng-Han Lin
John Barnard
Ryan D. Hernandez
Andrew D. Johnson
Edwin K. Silverman
Mollie A. Minear
Michelle Daya
Barbara A. Konkle
Sharon R. Browning
Daniel E. Weeks
Wendy S. Post
Alexander P. Reiner
Kathryn L. Lunetta
Gina M. Peloso
David Van Den Berg
Dan E. Arking
Seung-been Lee
Leslie A. Lange
Cristen J. Willer
Zachary A. Szpiech
Tasha E. Fingerlin
Wayne E. Clarke
Xutong Zhao
Stephen S. Rich
Nora Franceschini
Sudha Seshadri
Chloé Sarnowski
Hyun Min Kang
Sayantan Das
Michael C. Zody
Stephanie M. Fullerton
Dean Bobo
Alanna C. Morrison
Brian Custer
Nona Sotoodehnia
Shannon Kelly
Thomas W. Blackwell
Bruce M. Psaty
Yingze Zhang
Susan R. Heckbert
Robert E. Gerszten
M. Benjamin Shoemaker
Daniel Taliun
Leslie S. Emery
André Corvelo
Michael H. Cho
Braxton D. Mitchell
Xiaoming Liu
Stella Aslibekyan
Paul L. Auer
Brandon Chalazan
Sarah C. Nelson
Seung Hoan Choi
Jeong-Sun Seo
Matthew P. Conomos
Anne-Katrin Emde
Lawrence F. Bielak
Alisa K. Manning
Allison E. Ashley-Koch
Diane Fatkin
Xiaowen Tian
Emelia J. Benjamin
D. C. Rao
Mina K. Chung
Myriam Fornage
Daniel Levy
Michael D. Kessler
Weihong Tang
Daniel J. Gottlieb
Pradeep Natarajan
Jessica Lasky-Su
Amol C. Shetty
Cathy C. Laurie
Dan M. Roden
Timothy D. O’Connor
Jedidiah Carlson
Lewis C. Becker
Achilleas N. Pitsillides
Karine A. Viaud-Martinez
Raul Torres
Adolfo Correa
Christian Fuchsberger
Deborah A. Meyers
Alvaro Alonso
Sanghamitra Mohanty
Jonathon LeFaive
Soren Germer
Julie L. Mikulla
François Aguet
Susan K. Dutcher
Sarah A Gagliano Taliun
Ani Manichaikul
Lori Garman
Xiuqing Guo
Timothy A. Thornton
David D. McManus
Albert V. Smith
Kristin G. Ardlie
Anna Köttgen
Sharon L.R. Kardia
Quenna Wong
Jill M. Johnsen
Andrea Natale
Richard A. Gibbs
Douglas P. Kiel
Ingo Ruczinski
Susan Redline
Lukas Forer
Scott I. Vrieze
May E. Montasser
Rasika A. Mathias
Jerome I. Rotter
Jacob Pleiness
Chunyu Liu
Brian L. Browning
James G. Wilson
Weiniu Gan
Christine M. Albert
Marilyn J. Telen
Courtney G. Montgomery
Steven A. Lubitz
Robert Klemmer
Ramachandran S. Vasan
Nathan Pankratz
Mariza de Andrade
Vivien A. Sheehan
Kenneth Rice
Xihong Lin
Eimear E. Kenny
Stephanie M. Gogarten
John Blangero
Donna K. Arnett
Jiang He
Pankaj Qasba
James F. Casella
Patrick T. Ellinor
Nicholette D. Palmer
R. Graham Barr
Scott T. Weiss
Joanne E. Curran
Bruce S. Weir
Kari E. North
L. Adrienne Cupples
Dawn L. DeMeo
Tanika N. Kelly
Angel C.Y. Mak
Russell P. Tracy
David A. Schwartz
Kent D. Taylor
Rebecca L. Beer
Daniel N. Harris
George J. Papanicolaou
Marguerite R. Irvin
Stephen T. McGarvey
Sebastian Zöllner
Patricia A. Peyser
Brian E. Cade
Ruth J. F. Loos
Douglas Loesch
Nicholas L. Smith
Gonçalo R. Abecasis
Jennifer A. Smith
Michael E. Hall
Lu-Chen Weng
Jeffrey R. O'Connell
Adrienne M. Stilp
Donald W. Bowden
Kathleen C. Barnes
Stacey Gabriel
Michael Boehnke
Wayne Huey-Herng Sheu
Dawood Darbar
Source :
Nature
Publication Year :
2021
Publisher :
Springer Science and Business Media LLC, 2021.

Abstract

The Trans-Omics for Precision Medicine (TOPMed) programme seeks to elucidate the genetic architecture and biology of heart, lung, blood and sleep disorders, with the ultimate goal of improving diagnosis, treatment and prevention of these diseases. The initial phases of the programme focused on whole-genome sequencing of individuals with rich phenotypic data and diverse backgrounds. Here we describe the TOPMed goals and design as well as the available resources and early insights obtained from the sequence data. The resources include a variant browser, a genotype imputation server, and genomic and phenotypic data that are available through dbGaP (Database of Genotypes and Phenotypes)1. In the first 53,831 TOPMed samples, we detected more than 400 million single-nucleotide and insertion or deletion variants after alignment with the reference genome. Additional previously undescribed variants were detected through assembly of unmapped reads and customized analysis in highly variable loci. Among the more than 400 million detected variants, 97% have frequencies of less than 1% and 46% are singletons that are present in only one individual (53% among unrelated individuals). These rare variants provide insights into mutational processes and recent human evolutionary history. The extensive catalogue of genetic variation in TOPMed studies provides unique opportunities for exploring the contributions of rare and noncoding sequence variants to phenotypic variation. Furthermore, combining TOPMed haplotypes with modern imputation methods improves the power and reach of genome-wide association studies to include variants down to a frequency of approximately 0.01%.<br />The goals, resources and design of the NHLBI Trans-Omics for Precision Medicine (TOPMed) programme are described, and analyses of rare variants detected in the first 53,831 samples provide insights into mutational processes and recent human evolutionary history.

Details

ISSN :
14764687 and 00280836
Volume :
590
Database :
OpenAIRE
Journal :
Nature
Accession number :
edsair.doi.dedup.....c3466ed35ebc952114103dd5987431af
Full Text :
https://doi.org/10.1038/s41586-021-03205-y