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Ebonee N. Butler

As seen in: Nature, Wiley Online Library, MDPI, Cell Press, European Urology
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Articles

Multi-ancestry transcriptome-wide association studies uncover insights into breast cancer genetics and biology

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By Jie Ping, Guochong Jia, Qiuyin Cai, Xingyi Guo, Jifeng Wang, Ran Tao, Bingshan Li, Joshua A. Bauer, Yuhan Xie, Stefan Ambs, Mollie E Barnard, Yu Chen, Ji-Yeob Choi, Yu-Tang Gao, Montserrat Garcia-Closas, Jian Gu, Jennifer Hu, Motoki Iwasaki, Esther M John, Sun-Seog Kweon, Christopher I Li, Koichi Matsuda, Keitaro Matsuo, Katherine L. Nathanson, Barbara Nemesure, Olufunmilayo I. Olopade, Tuya Pal, Sue K Park, Boyoung Park, Michael Press, Maureen Sanderson, Dale P. Sandler, Song T. Yao, Ying Zheng, Thomas Ahearn, Abenaa M. Brewster, Anselm Hennis, Hidemi Ito, Michiaki Kubo, Eun-Sook Lee, Katie O’Brien, Oladosu Ojengbede, Andrew F. Olshan, Min-Ho Park, Sonya Reid, Taiki Yamaji, Gary R. Zirpoli, Ebonee N. Butler, Maosheng Huang, Siew-Kee Low, John Oladapo Obafunwa, Clarice R. Weinberg, Haoyu Zhang, Hongyu Zhao, Christine B. Ambrosone, Michelle Cote, Dezheng Huo, Christopher A. Haiman, Daehee Kang, Julie Palmer, Melissa A. Troester, Xiao-Ou Shu, Jirong Long, Wei Zheng, Adeyinka Falusi, Timothy Makumbi, Berthe S. E. Mapoko, Dong-Young Noh
| Nature Verified
Abstract Genome-wide association studies (GWAS) have identified over 200 genetic risk loci for breast cancer, yet their target genes remain largely unknown. We conduct multi-ancestry transcriptome-wide association studies (TWAS) to discover potential breast cancer susceptibility genes.
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Improved polygenic risk prediction models for breast cancer subtypes in women of African ancestry - Nature Genetics

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By James Li, Haoyu Zhang, Guochong Jia, Wenji Guo, Peter N. Fiorica, Stefan Ambs, Mollie E Barnard, Montserrat Garcia-Closas, Jian Gu, Jennifer Hu, Katherine L. Nathanson, Michael Press, Dale P. Sandler, Melissa A. Troester, Song T. Yao, Jirong Long, Thomas Ahearn, Peter Kraft, Katie O’Brien, Gary R. Zirpoli, Qiuyin Cai, Ebonee N. Butler, Christine B. Ambrosone, Jie Ping, Ran Tao, Bingshan Li, Xingyi Guo, David Conti, Nilanjan Chatterjee, Olufunmilayo I. Olopade, Wei Zheng, Christopher A. Haiman
| Nature Verified
Abstract Polygenic risk score (PRS) models effectively predict breast cancer (BC) risk in European-ancestry women but have limited accuracy for African-ancestry women, particularly for aggressive subtypes. We developed PRS models for overall BC, estrogen receptor (ER)-positive, ER-negative and triple-negative BC (TNBC) in African-ancestry women using data from the African Ancestry Breast Cancer Genetics consortium (17,391 cases and 18,800 controls).
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Etiology of gene expression‐based subtypes of breast cancer in the Ghana Breast Health Study

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By Amber N Hurson, Ebonee N. Butler, Alina M Hamilton, Khushali Shah
| Wiley Online Library Verified
CONFLICT OF INTEREST STATEMENT The authors declare no conflicts of interest. DATA AVAILABILITY STATEMENT The data that support the findings of this study are available from the corresponding author upon reasonable request. Supporting Information Filename Description ijc70332-sup-0001-Supinfo.docxapplication/doc, 482.9 KB Data S1. Supporting Information. REFERENCES 1Comprehensive molecular portraits of human breast tumours. Nature. 2012; 490(7418): 61-70. doi:10.1038/nature11412 2, , , et al.
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