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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 :
Kowalski MH
Qian H
Hou Z
Rosen JD
Tapia AL
Shan Y
Jain D
Argos M
Arnett DK
Avery C
Barnes KC
Becker LC
Bien SA
Bis JC
Blangero J
Boerwinkle E
Bowden DW
Buyske S
Cai J
Cho MH
Choi SH
Choquet H
Cupples LA
Cushman M
Daya M
de Vries PS
Ellinor PT
Faraday N
Fornage M
Gabriel S
Ganesh SK
Graff M
Gupta N
He J
Heckbert SR
Hidalgo B
Hodonsky CJ
Irvin MR
Johnson AD
Jorgenson E
Kaplan R
Kardia SLR
Kelly TN
Kooperberg C
Lasky-Su JA
Loos RJF
Lubitz SA
Mathias RA
McHugh CP
Montgomery C
Moon JY
Morrison AC
Palmer ND
Pankratz N
Papanicolaou GJ
Peralta JM
Peyser PA
Rich SS
Rotter JI
Silverman EK
Smith JA
Smith NL
Taylor KD
Thornton TA
Tiwari HK
Tracy RP
Wang T
Weiss ST
Weng LC
Wiggins KL
Wilson JG
Yanek LR
Zöllner S
North KE
Auer PL
Raffield LM
Reiner AP
Li Y
Source :
PLoS genetics [PLoS Genet] 2019 Dec 23; Vol. 15 (12), pp. e1008500. Date of Electronic Publication: 2019 Dec 23 (Print Publication: 2019).
Publication Year :
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 <10 (including singletons) in the imputation target samples, average information content rescued was >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.<br />Competing Interests: Edwin K Silverman and Michael H Cho have received grant support from GSK, MHC has received consulting fees from Genentech. Scott T. Weiss and Kathleen C. Barnes received royalties from UpToDate. Patrick T. Ellinor is supported by a grant from Bayer AG to the Broad Institute focused on the genetics and therapeutics of cardiovascular diseases, and has also served on advisory boards or consulted for Bayer AG, Quest Diagnostics and Novartis. Steven A Lubitz receives sponsored research support from Bristol Myers Squibb / Pfizer, Bayer HealthCare, and Boehringer Ingelheim, and has consulted for Abbott, Quest Diagnostics, Bristol Myers Squibb / Pfizer. Other authors declared no conflicts of interest.

Details

Language :
English
ISSN :
1553-7404
Volume :
15
Issue :
12
Database :
MEDLINE
Journal :
PLoS genetics
Publication Type :
Academic Journal
Accession number :
31869403
Full Text :
https://doi.org/10.1371/journal.pgen.1008500