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Tuya Pal

Showing results (161-170 of 171) with videos related to

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Nature Communications|May 2, 2024
Using genome and transcriptome data from African-ancestry female participants to identify putative breast cancer susceptibility genesJie Ping, Guochong Jia, Qiuyin Cai, et al.
Cancer Research|June 4, 2024
Case-Case Genome-Wide Analyses Identify Subtype-Informative Variants That Confer Risk for Breast CancerXiaohui Sun, Shiv P Verma, Guochong Jia, et al.
Nature Genetics|May 13, 2024
Genome-wide association analyses of breast cancer in women of African ancestry identify new susceptibility loci and improve risk predictionGuochong Jia, Jie Ping, Xingyi Guo, et al.
Medrxiv : the Preprint Server for Health Sciences|October 17, 2024
Association of Gene Variant Type and Location with Breast Cancer Risk in the General PopulationMwangala P Akamandisa, Nicholas J Boddicker, Siddhartha Yadav, et al.
Nature Genetics|February 2, 2026
Improved polygenic risk prediction models for breast cancer subtypes in women of African ancestryJames L Li, Haoyu Zhang, Xiaoyu Wang, et al.
The New England Journal of Medicine|January 20, 2021
A Population-Based Study of Genes Previously Implicated in Breast CancerChunling Hu, Steven N Hart, Rohan Gnanaolivu, et al.
International Journal of Cancer|July 14, 2025
Integrating multi-ancestry genomic and proteomic data to identify blood risk biomarkers and target proteins for breast cancer genetic risk lociGuochong Jia, Jie Ping, Ran Tao, et al.
Medrxiv : the Preprint Server for Health Sciences|August 20, 2025
Multi-Ancestry Transcriptome-wide Association Studies Uncover New Insights into Breast Cancer Genetics and BiologyJie Ping, Guochong Jia, Qiuyin Cai, et al.
Nature Genetics|January 3, 2025
Refining breast cancer genetic risk and biology through multi-ancestry fine-mapping analyses of 192 risk regionsGuochong Jia, Zhishan Chen, Jie Ping, et al.
Nature Communications|May 30, 2026
Multi-ancestry transcriptome-wide association studies uncover insights into breast cancer genetics and biologyJie Ping, Guochong Jia, Qiuyin Cai, et al.
Pageof 18

Showing results (161-170 of 171) with videos related to

Sort By:
Pageof 18
Nature Communications|May 2, 2024
Using genome and transcriptome data from African-ancestry female participants to identify putative breast cancer susceptibility genesJie Ping, Guochong Jia, Qiuyin Cai, et al.
Cancer Research|June 4, 2024
Case-Case Genome-Wide Analyses Identify Subtype-Informative Variants That Confer Risk for Breast CancerXiaohui Sun, Shiv P Verma, Guochong Jia, et al.
Nature Genetics|May 13, 2024
Genome-wide association analyses of breast cancer in women of African ancestry identify new susceptibility loci and improve risk predictionGuochong Jia, Jie Ping, Xingyi Guo, et al.
Medrxiv : the Preprint Server for Health Sciences|October 17, 2024
Association of Gene Variant Type and Location with Breast Cancer Risk in the General PopulationMwangala P Akamandisa, Nicholas J Boddicker, Siddhartha Yadav, et al.
Nature Genetics|February 2, 2026
Improved polygenic risk prediction models for breast cancer subtypes in women of African ancestryJames L Li, Haoyu Zhang, Xiaoyu Wang, et al.
The New England Journal of Medicine|January 20, 2021
A Population-Based Study of Genes Previously Implicated in Breast CancerChunling Hu, Steven N Hart, Rohan Gnanaolivu, et al.
International Journal of Cancer|July 14, 2025
Integrating multi-ancestry genomic and proteomic data to identify blood risk biomarkers and target proteins for breast cancer genetic risk lociGuochong Jia, Jie Ping, Ran Tao, et al.
Medrxiv : the Preprint Server for Health Sciences|August 20, 2025
Multi-Ancestry Transcriptome-wide Association Studies Uncover New Insights into Breast Cancer Genetics and BiologyJie Ping, Guochong Jia, Qiuyin Cai, et al.
Nature Genetics|January 3, 2025
Refining breast cancer genetic risk and biology through multi-ancestry fine-mapping analyses of 192 risk regionsGuochong Jia, Zhishan Chen, Jie Ping, et al.
Nature Communications|May 30, 2026
Multi-ancestry transcriptome-wide association studies uncover insights into breast cancer genetics and biologyJie Ping, Guochong Jia, Qiuyin Cai, et al.
Pageof 18