Weiqiang

Dr. Wei is a professor at China Pharmaceutical University, renowned for his expertise in drug target identification and the early detection of circulating tumor DNA (ctDNA) in cancer research. He completed his postdoctoral studies in genetics and genomics at Vanderbilt University, where he specialized in developing statistical methods for human genetics, particularly in genome-wide association studies (GWAS), intratumor heterogeneity (ITH), and drug repurposing. Dr. Wei's dedication to integrating pharmacology and genomics has significantly advanced our understanding of personalized medicine, contributing to the development of more targeted therapeutic strategies in oncology and beyond.

(1) Qiang Wei; Chao Jin; Yang Wang; Shanshan Guo; Xu Guo; Xiaonan Liu; Jiaze An; Jinliang Xing; Bingshan Li ; A computational framework to unify orthogonal information in DNA methylation and copy number aberrations in cell-free DNA for early cancer detection, Briefings in Bioinformatics, 2022, 23(4): bbac200

(2) Qiang Wei; Zhong Ye; Xue Zhong; Ling Li; Chun Wang; Ronald E. Myers; Juan P. Palazzo; Danielle Fortuna; A.Yan; Scott Arthur Waldman; Xi Steven Chen; James A. Posey; Atrayee Basu- Mallick; Binghua Jiang; Lifang Hou; J.Shu; Yuping Sun; Jinliang Xing; Bingshan Li; Hushan Yang ; Multiregion whole-exome sequencing of matched primary and metastatic tumors revealed genomic heterogeneity and suggested polyclonal seeding in colorectal cancer metastasis, Annals of Oncology, 2017, 28(9): 2135-2141

(3) Quan Wang; Rui Chen; Feixiong Cheng; Qiang Wei; Ying Ji; Hai Yang; Xue Zhong; Ran Tao; Zhexing Wen; James S.Sutcliffe; Chunyu Liu; Edwin H.Cook; Nancy J.Cox; Bingshan Li ; A Bayesian framework that integrates multi-omics data and gene networks predicts risk genes from schizophrenia GWAS data, Nature Neuroscience, 2019, null(null): 691-699

(4) Qiang Wei; Xiaowei Zhan; Xue Zhong; Yongzhuang Liu; Yujun Han; Wei Chen; Bingshan Li ; A Bayesian framework for de novo mutation calling in parents-offspring trios, BIOINFORMATICS, 2015, 9(31): 1375-1381

Study focuses on two primary areas:

Drug target identification: Identifying potential pathogenic genes based on genetic information (GWAS loci) and constructing disease-specific whole-genome interaction networks. Candidate drugs are screened using expression profile data.

Early Detection of Tumor ctDNA: Employing Bayesian models and Hidden Markov Models, integrating multi-omics data from tumors to detect early-stage cancer patients.

Recipient of the National Major Talent Project Class A Youth Program

“Jicui Research Fellow” at Jiangsu Industrial Technology Research Institute