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Common variants in signaling transcription-factor-binding sites drive phenotypic variability in red blood cell traits

Authors :
Leonard I. Zon
Roby Joehanes
Eirini Trompouki
Stephen J. Chanock
Alireza Ghamari
Min-Lee Yang
Song Yang
Seraj N. Grimes
Sierra Tseng
Michael Superdock
Daniel E. Bauer
Divya S. Vinjamur
Victoria Chan
Karen Hoi
Richard A. Young
Sonja Boatman
Teresa V. Bowman
Avik Choudhuri
Brian J. Abraham
John L. Rinn
Santhi K. Ganesh
Alan B. Cantor
Kian Hong Kock
Audrey Sporrij
Barbara Hummel
William Mallard
Paul S. Albert
Asher Lichtig
Yi Zhou
Satish K. Nandakumar
Shinichiro Takahashi
Martha L. Bulyk
Leandro M. Colli
Source :
Nature Genetics, Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual), Universidade de São Paulo (USP), instacron:USP, Nat Genet
Publication Year :
2020
Publisher :
Springer Science and Business Media LLC, 2020.

Abstract

Genome-wide association studies identify genomic variants associated with human traits and diseases. Most trait-associated variants are located within cell-type-specific enhancers, but the molecular mechanisms governing phenotypic variation are less well understood. Here, we show that many enhancer variants associated with red blood cell (RBC) traits map to enhancers that are co-bound by lineage-specific master transcription factors (MTFs) and signaling transcription factors (STFs) responsive to extracellular signals. The majority of enhancer variants reside on STF and not MTF motifs, perturbing DNA binding by various STFs (BMP/TGF-β-directed SMADs or WNT-induced TCFs) and affecting target gene expression. Analyses of engineered human blood cells and expression quantitative trait loci verify that disrupted STF binding leads to altered gene expression. Our results propose that the majority of the RBC-trait-associated variants that reside on transcription-factor-binding sequences fall in STF target sequences, suggesting that the phenotypic variation of RBC traits could stem from altered responsiveness to extracellular stimuli.

Details

ISSN :
15461718 and 10614036
Volume :
52
Database :
OpenAIRE
Journal :
Nature Genetics
Accession number :
edsair.doi.dedup.....f55bc07dd03b947724044bec1c014c8e