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GWAS Study

Comprehensive population-based genome sequencing provides insight into hematopoietic regulatory mechanisms.

Guo MH, Nandakumar SK, Ulirsch JC et al.

28031487 PubMed ID
GWAS Study Type
5578 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

GM
Guo MH
NS
Nandakumar SK
UJ
Ulirsch JC
ZS
Zekavat SM
BJ
Buenrostro JD
NP
Natarajan P
SR
Salem RM
CR
Chiarle R
MM
Mitt M
KM
Kals M
PK
Pärn K
FK
Fischer K
ML
Milani L
MR
Mägi R
PP
Palta P
GS
Gabriel SB
MA
Metspalu A
LE
Lander ES
KS
Kathiresan S
HJ
Hirschhorn JN
ET
Esko T
SV
Sankaran VG
Chapter II

Abstract

Summary of the research findings

Genetic variants affecting hematopoiesis can influence commonly measured blood cell traits. To identify factors that affect hematopoiesis, we performed association studies for blood cell traits in the population-based Estonian Biobank using high-coverage whole-genome sequencing (WGS) in 2,284 samples and SNP genotyping in an additional 14,904 samples. Using up to 7,134 samples with available phenotype data, our analyses identified 17 associations across 14 blood cell traits. Integration of WGS-based fine-mapping and complementary epigenomic datasets provided evidence for causal mechanisms at several loci, including at a previously undiscovered basophil count-associated locus near the master hematopoietic transcription factor CEBPA The fine-mapped variant at this basophil count association near CEBPA overlapped an enhancer active in common myeloid progenitors and influenced its activity. In situ perturbation of this enhancer by CRISPR/Cas9 mutagenesis in hematopoietic stem and progenitor cells demonstrated that it is necessary for and specifically regulates CEBPA expression during basophil differentiation. We additionally identified basophil count-associated variation at another more pleiotropic myeloid enhancer near GATA2, highlighting regulatory mechanisms for ordered expression of master hematopoietic regulators during lineage specification. Our study illustrates how population-based genetic studies can provide key insights into poorly understood cell differentiation processes of considerable physiologic relevance.

5,578 European ancestry individuals

Chapter III

Study Statistics

Key metrics and study information

5578
Total Participants
GWAS
Study Type
No
Replicated
European
Ancestry
Estonia
Recruitment Country
Chapter IV

Analysis

Comprehensive review of health and genetic findings

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