Literature DB >> 34582791

Whole-genome sequencing in diverse subjects identifies genetic correlates of leukocyte traits: The NHLBI TOPMed program.

Anna V Mikhaylova1, Caitlin P McHugh1, Linda M Polfus2, Laura M Raffield3, Meher Preethi Boorgula4, Thomas W Blackwell5, Jennifer A Brody6, Jai Broome1, Nathalie Chami7, Ming-Huei Chen8, Matthew P Conomos1, Corey Cox4, Joanne E Curran9, Michelle Daya4, Lynette Ekunwe10, David C Glahn11, Nancy Heard-Costa12, Heather M Highland13, Brian D Hobbs14, Yann Ilboudo15, Deepti Jain1, Leslie A Lange4, Tyne W Miller-Fleming16, Nancy Min10, Jee-Young Moon17, Michael H Preuss7, Jonathon Rosen18, Kathleen Ryan19, Albert V Smith5, Quan Sun18, Praveen Surendran20, Paul S de Vries21, Klaudia Walter22, Zhe Wang7, Marsha Wheeler23, Lisa R Yanek24, Xue Zhong16, Goncalo R Abecasis5, Laura Almasy25, Kathleen C Barnes4, Terri H Beaty26, Lewis C Becker27, John Blangero9, Eric Boerwinkle21, Adam S Butterworth28, Sameer Chavan4, Michael H Cho29, Hélène Choquet30, Adolfo Correa10, Nancy Cox16, Dawn L DeMeo14, Nauder Faraday31, Myriam Fornage32, Robert E Gerszten33, Lifang Hou34, Andrew D Johnson8, Eric Jorgenson35, Robert Kaplan17, Charles Kooperberg36, Kousik Kundu37, Cecelia A Laurie1, Guillaume Lettre15, Joshua P Lewis19, Bingshan Li38, Yun Li39, Donald M Lloyd-Jones40, Ruth J F Loos7, Ani Manichaikul41, Deborah A Meyers42, Braxton D Mitchell43, Alanna C Morrison21, Debby Ngo44, Deborah A Nickerson23, Suraj Nongmaithem22, Kari E North13, Jeffrey R O'Connell19, Victor E Ortega45, Nathan Pankratz46, James A Perry47, Bruce M Psaty48, Stephen S Rich41, Nicole Soranzo49, Jerome I Rotter50, Edwin K Silverman14, Nicholas L Smith51, Hua Tang52, Russell P Tracy53, Timothy A Thornton54, Ramachandran S Vasan55, Joe Zein56, Rasika A Mathias57, Alexander P Reiner58, Paul L Auer59.   

Abstract

Many common and rare variants associated with hematologic traits have been discovered through imputation on large-scale reference panels. However, the majority of genome-wide association studies (GWASs) have been conducted in Europeans, and determining causal variants has proved challenging. We performed a GWAS of total leukocyte, neutrophil, lymphocyte, monocyte, eosinophil, and basophil counts generated from 109,563,748 variants in the autosomes and the X chromosome in the Trans-Omics for Precision Medicine (TOPMed) program, which included data from 61,802 individuals of diverse ancestry. We discovered and replicated 7 leukocyte trait associations, including (1) the association between a chromosome X, pseudo-autosomal region (PAR), noncoding variant located between cytokine receptor genes (CSF2RA and CLRF2) and lower eosinophil count; and (2) associations between single variants found predominantly among African Americans at the S1PR3 (9q22.1) and HBB (11p15.4) loci and monocyte and lymphocyte counts, respectively. We further provide evidence indicating that the newly discovered eosinophil-lowering chromosome X PAR variant might be associated with reduced susceptibility to common allergic diseases such as atopic dermatitis and asthma. Additionally, we found a burden of very rare FLT3 (13q12.2) variants associated with monocyte counts. Together, these results emphasize the utility of whole-genome sequencing in diverse samples in identifying associations missed by European-ancestry-driven GWASs.
Copyright © 2021 American Society of Human Genetics. All rights reserved.

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Keywords:  blood-cell counts; whole-genome sequencing

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Year:  2021        PMID: 34582791      PMCID: PMC8546043          DOI: 10.1016/j.ajhg.2021.08.007

Source DB:  PubMed          Journal:  Am J Hum Genet        ISSN: 0002-9297            Impact factor:   11.043


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