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Whole-genome sequencing association analysis of quantitative red blood cell phenotypes: The NHLBI TOPMed program

Authors :
Hu, Yao
Stilp, Adrienne M
McHugh, Caitlin P
Rao, Shuquan
Jain, Deepti
Zheng, Xiuwen
Lane, John
Méric de Bellefon, Sébastian
Raffield, Laura M
Chen, Ming-Huei
Yanek, Lisa R
Wheeler, Marsha
Yao, Yao
Ren, Chunyan
Broome, Jai
Moon, Jee-Young
de Vries, Paul S
Hobbs, Brian D
Sun, Quan
Surendran, Praveen
Brody, Jennifer A
Blackwell, Thomas W
Choquet, Hélène
Ryan, Kathleen
Duggirala, Ravindranath
Heard-Costa, Nancy
Wang, Zhe
Chami, Nathalie
Preuss, Michael H
Min, Nancy
Ekunwe, Lynette
Lange, Leslie A
Cushman, Mary
Faraday, Nauder
Curran, Joanne E
Almasy, Laura
Kundu, Kousik
Smith, Albert V
Gabriel, Stacey
Rotter, Jerome I
Fornage, Myriam
Lloyd-Jones, Donald M
Vasan, Ramachandran S
Smith, Nicholas L
North, Kari E
Boerwinkle, Eric
Becker, Lewis C
Lewis, Joshua P
Abecasis, Goncalo R
Hou, Lifang
O'Connell, Jeffrey R
Morrison, Alanna C
Beaty, Terri H
Kaplan, Robert
Correa, Adolfo
Blangero, John
Jorgenson, Eric
Psaty, Bruce M
Kooperberg, Charles
Walton, Russell T
Kleinstiver, Benjamin P
Tang, Hua
Loos, Ruth JF
Soranzo, Nicole
Butterworth, Adam S
Nickerson, Debbie
Rich, Stephen S
Mitchell, Braxton D
Johnson, Andrew D
Auer, Paul L
Li, Yun
Mathias, Rasika A
Lettre, Guillaume
Pankratz, Nathan
Laurie, Cathy C
Laurie, Cecelia A
Bauer, Daniel E
Conomos, Matthew P
Reiner, Alexander P
NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium
Source :
American journal of human genetics, vol 108, iss 5
Publication Year :
2021
Publisher :
eScholarship, University of California, 2021.

Abstract

Whole-genome sequencing (WGS), a powerful tool for detecting novel coding and non-coding disease-causing variants, has largely been applied to clinical diagnosis of inherited disorders. Here we leveraged WGS data in up to 62,653 ethnically diverse participants from the NHLBI Trans-Omics for Precision Medicine (TOPMed) program and assessed statistical association of variants with seven red blood cell (RBC) quantitative traits. We discovered 14 single variant-RBC trait associations at 12 genomic loci, which have not been reported previously. Several of the RBC trait-variant associations (RPN1, ELL2, MIDN, HBB, HBA1, PIEZO1, and G6PD) were replicated in independent GWAS datasets imputed to the TOPMed reference panel. Most of these discovered variants are rare/low frequency, and several are observed disproportionately among non-European Ancestry (African, Hispanic/Latino, or East Asian) populations. We identified a 3bp indel p.Lys2169del (g.88717175_88717177TCT[4]) (common only in the Ashkenazi Jewish population) of PIEZO1, a gene responsible for the Mendelian red cell disorder hereditary xerocytosis (MIM: 194380), associated with higher mean corpuscular hemoglobin concentration (MCHC). In stepwise conditional analysis and in gene-based rare variant aggregated association analysis, we identified several of the variants in HBB, HBA1, TMPRSS6, and G6PD that represent the carrier state for known coding, promoter, or splice site loss-of-function variants that cause inherited RBC disorders. Finally, we applied base and nuclease editing to demonstrate that the sentinel variant rs112097551 (nearest gene RPN1) acts through a cis-regulatory element that exerts long-range control of the gene RUVBL1 which is essential for hematopoiesis. Together, these results demonstrate the utility of WGS in ethnically diverse population-based samples and gene editing for expanding knowledge of the genetic architecture of quantitative hematologic traits and suggest a continuum between complex trait and Mendelian red cell disorders.

Details

Database :
OpenAIRE
Journal :
American journal of human genetics, vol 108, iss 5
Accession number :
edsair.od.......325..445eb02b1c412ec0c77798d591b7420a