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Use of >100,000 NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium whole genome sequences improves imputation quality and detection of rare variant associations in admixed African and Hispanic/Latino populations.

Authors :
Madeline H Kowalski
Huijun Qian
Ziyi Hou
Jonathan D Rosen
Amanda L Tapia
Yue Shan
Deepti Jain
Maria Argos
Donna K Arnett
Christy Avery
Kathleen C Barnes
Lewis C Becker
Stephanie A Bien
Joshua C Bis
John Blangero
Eric Boerwinkle
Donald W Bowden
Steve Buyske
Jianwen Cai
Michael H Cho
Seung Hoan Choi
Hélène Choquet
L Adrienne Cupples
Mary Cushman
Michelle Daya
Paul S de Vries
Patrick T Ellinor
Nauder Faraday
Myriam Fornage
Stacey Gabriel
Santhi K Ganesh
Misa Graff
Namrata Gupta
Jiang He
Susan R Heckbert
Bertha Hidalgo
Chani J Hodonsky
Marguerite R Irvin
Andrew D Johnson
Eric Jorgenson
Robert Kaplan
Sharon L R Kardia
Tanika N Kelly
Charles Kooperberg
Jessica A Lasky-Su
Ruth J F Loos
Steven A Lubitz
Rasika A Mathias
Caitlin P McHugh
Courtney Montgomery
Jee-Young Moon
Alanna C Morrison
Nicholette D Palmer
Nathan Pankratz
George J Papanicolaou
Juan M Peralta
Patricia A Peyser
Stephen S Rich
Jerome I Rotter
Edwin K Silverman
Jennifer A Smith
Nicholas L Smith
Kent D Taylor
Timothy A Thornton
Hemant K Tiwari
Russell P Tracy
Tao Wang
Scott T Weiss
Lu-Chen Weng
Kerri L Wiggins
James G Wilson
Lisa R Yanek
Sebastian Zöllner
Kari E North
Paul L Auer
NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium
TOPMed Hematology & Hemostasis Working Group
Laura M Raffield
Alexander P Reiner
Yun Li
Source :
PLoS Genetics, Vol 15, Iss 12, p e1008500 (2019)
Publication Year :
2019
Publisher :
Public Library of Science (PLoS), 2019.

Abstract

Most genome-wide association and fine-mapping studies to date have been conducted in individuals of European descent, and genetic studies of populations of Hispanic/Latino and African ancestry are limited. In addition, these populations have more complex linkage disequilibrium structure. In order to better define the genetic architecture of these understudied populations, we leveraged >100,000 phased sequences available from deep-coverage whole genome sequencing through the multi-ethnic NHLBI Trans-Omics for Precision Medicine (TOPMed) program to impute genotypes into admixed African and Hispanic/Latino samples with genome-wide genotyping array data. We demonstrated that using TOPMed sequencing data as the imputation reference panel improves genotype imputation quality in these populations, which subsequently enhanced gene-mapping power for complex traits. For rare variants with minor allele frequency (MAF) < 0.5%, we observed a 2.3- to 6.1-fold increase in the number of well-imputed variants, with 11-34% improvement in average imputation quality, compared to the state-of-the-art 1000 Genomes Project Phase 3 and Haplotype Reference Consortium reference panels. Impressively, even for extremely rare variants with minor allele count 86%. Subsequent association analyses of TOPMed reference panel-imputed genotype data with hematological traits (hemoglobin (HGB), hematocrit (HCT), and white blood cell count (WBC)) in ~21,600 African-ancestry and ~21,700 Hispanic/Latino individuals identified associations with two rare variants in the HBB gene (rs33930165 with higher WBC [p = 8.8x10-15] in African populations, rs11549407 with lower HGB [p = 1.5x10-12] and HCT [p = 8.8x10-10] in Hispanics/Latinos). By comparison, neither variant would have been genome-wide significant if either 1000 Genomes Project Phase 3 or Haplotype Reference Consortium reference panels had been used for imputation. Our findings highlight the utility of the TOPMed imputation reference panel for identification of novel rare variant associations not previously detected in similarly sized genome-wide studies of under-represented African and Hispanic/Latino populations.

Subjects

Subjects :
Genetics
QH426-470

Details

Language :
English
ISSN :
15537390 and 15537404
Volume :
15
Issue :
12
Database :
Directory of Open Access Journals
Journal :
PLoS Genetics
Publication Type :
Academic Journal
Accession number :
edsdoj.2012563f33841c88441169fde0c6cd0
Document Type :
article
Full Text :
https://doi.org/10.1371/journal.pgen.1008500