Genetic variations of DNA bindings of FOXA1 and co-factors in breast cancer susceptibility

被引:18
|
作者
Wen, Wanqing [1 ]
Chen, Zhishan [1 ]
Bao, Jiandong [2 ]
Long, Quan [3 ,4 ]
Shu, Xiao-ou [1 ]
Zheng, Wei [1 ]
Guo, Xingyi [1 ,5 ]
机构
[1] Vanderbilt Univ, Med Ctr, Dept Med, Div Epidemiol, Nashville, TN 37235 USA
[2] Fujian Agr & Forestry Univ, Coll Life Sci, Fuzhou, Fujian, Peoples R China
[3] Alberta Childrens Prov Gen Hosp, Dept Biochem & Mol Biol & Med Genet, Res Inst, Hotchkiss Brain Inst,OBrien Inst Publ Hlth, Calgary, AB, Canada
[4] Alberta Childrens Prov Gen Hosp, Dept Math & Stat, Res Inst, Hotchkiss Brain Inst,OBrien Inst Publ Hlth, Calgary, AB, Canada
[5] Vanderbilt Univ, Vanderbilt Epidemiol Ctr, Vanderbilt Ingram Canc Ctr, Dept Biomed Informat,Med Ctr, Nashville, TN 37235 USA
基金
美国国家卫生研究院;
关键词
GENOME-WIDE ASSOCIATION; RISK VARIANTS; TARGET GENES; EQTL; CHROMATIN; LOCUS; HERITABILITY; ANNOTATION; REGULATORS; GWAS;
D O I
10.1038/s41467-021-25670-9
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The identification of transcription factors (TFs) whose binding sites are affected by risk genetic variants remains crucial. Here, the authors develop a statistical framework to analyse ChIP-seq and GWAS data, identify 22 breast cancer risk-associated TFs and a core TF-transcriptional network for FOXA1 and co-factors. Identifying transcription factors (TFs) whose DNA bindings are altered by genetic variants that regulate susceptibility genes is imperative to understand transcriptional dysregulation in disease etiology. Here, we develop a statistical framework to analyze extensive ChIP-seq and GWAS data and identify 22 breast cancer risk-associated TFs. We find that, by analyzing genetic variations of TF-DNA bindings, the interaction of FOXA1 with co-factors such as ESR1 and E2F1, and the interaction of TFs with chromatin features (i.e., enhancers) play a key role in breast cancer susceptibility. Using genetic variants occupied by the 22 TFs, transcriptome-wide association analyses identify 52 previously unreported breast cancer susceptibility genes, including seven with evidence of essentiality from functional screens in breast relevant cell lines. We show that FOXA1 and co-factors form a core TF-transcriptional network regulating the susceptibility genes. Our findings provide additional insights into genetic variations of TF-DNA bindings (particularly for FOXA1) underlying breast cancer susceptibility.
引用
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页数:12
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