Rongling Wu
Director of the Center for Statistical Genetics; Professor of Public Health Sciences

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Hershey Med Ctr
University Park, PA - rxw35@psu.edu
- 717-531-0003
Huck Affiliations
Publication Tags
Genes Proteins Single Nucleotide Polymorphism Nucleotides Polymorphism Binding Sites Dna Type 2 Diabetes Mellitus Comorbidity Rna Nucleotide Genome Depression Medical Problems Genomics Hormones Linkages Disorders Genome Wide Association Study Linkage Disequilibrium Covariates Prunus Blood Vessels Leaves RiceMost Recent Publications
Vaginal microbiota networks as a mechanistic predictor of aerobic vaginitis
Qian Wang, Ang Dong, Jinshuai Zhao, Chen Wang, Christipher Griffin, Claudia Gragnoli, Fengxia Xue, Rongling Wu, 2022, Frontiers in Microbiology
Disentangling leaf-microbiome interactions in Arabidopsis thaliana by network mapping
Kaihang Li, Kexin Cheng, Haochen Wang, Qi Zhang, Yan Yang, Yi Jin, Xiaoqing He, Rongling Wu, 2022, Frontiers in Plant Science
Familial Linkage and Association of the NR3C1 Gene with Type 2 Diabetes and Depression Comorbidity
Mutaz Amin, Shumail Syed, Rongling Wu, Teodor Tudorel Postolache, Claudia Gragnoli, 2022, International Journal of Molecular Sciences
Comorbidity of Novel CRHR2 Gene Variants in Type 2 Diabetes and Depression
Mutaz Amin, Jurg Ott, Derek Gordon, Rongling Wu, Teodor T. Postolache, Michael Vergare, Claudia Gragnoli, 2022, International Journal of Molecular Sciences
Genome-Wide Identification and Analysis of the R2R3-MYB Gene Family in Theobroma cacao
Junhong Du, Qianqian Zhang, Sijia Hou, Jing Chen, Jianqiao Meng, Cong Wang, Dan Liang, Rongling Wu, Yunqian Guo, 2022, Genes
Implication of Melanocortin Receptor Genes in the Familial Comorbidity of Type 2 Diabetes and Depression
Mutaz Amin, Jurg Ott, Rongling Wu, Teodor T. Postolache, Claudia Gragnoli, 2022, International Journal of Molecular Sciences
The ties of brotherhood between japonica and indica rice for regional adaptation
Man Wang, Jiehu Chen, Feng Zhou, Jianming Yuan, Libin Chen, Rongling Wu, Yaoguang Liu, Qunyu Zhang, 2022, Science China Life Sciences on p. 1369-1379
The Genetic Architecture of Juvenile Growth Traits in the Conifer Torreya grandis as Revealed by Joint Linkage and Linkage Disequilibrium Mapping
Wenchong Chen, Weiwu Yu, Ang Dong, Yanru Zeng, Huwei Yuan, Bingsong Zheng, Rongling Wu, 2022, Frontiers in Plant Science
Genetic Architecture of Heterophylly: Single and Multi-Leaf Genome-Wide Association Mapping in Populus euphratica
Xuli Zhu, Fengshuo Sun, Mengmeng Sang, Meixia Ye, Wenhao Bo, Ang Dong, Rongling Wu, 2022, Frontiers in Plant Science
Single Nucleotide Polymorphisms (SNP) and SNP-SNP Interactions of the Surfactant Protein Genes Are Associated With Idiopathic Pulmonary Fibrosis in a Mexican Study Group; Comparison With Hypersensitivity Pneumonitis
Ata Abbasi, Chixiang Chen, Chintan K. Gandhi, Rongling Wu, Annie Pardo, Moises Selman, Joanna Floros, 2022, Frontiers in Immunology
Most-Cited Papers
Methodological implementation of mixed linear models in multi-locus genome-wide association studies
Yang Jun Wen, Hanwen Zhang, Yuan Li Ni, Bo Huang, Jin Zhang, Jian Ying Feng, Shi Bo Wang, Jim M. Dunwell, Yuan Ming Zhang, Rongling Wu, 2018, Briefings in Bioinformatics on p. 700-712
Feature selection for varying coefficient models with ultrahigh-dimensional covariates
Jingyuan Liu, Runze Li, Rongling Wu, 2014, Journal of the American Statistical Association on p. 266-274
Plant grafting: how genetic exchange promotes vascular reconnection
Jing Wang, Libo Jiang, Rongling Wu, 2017, New Phytologist on p. 56-65
The genetic architecture of floral traits in the woody plant Prunus mume
Qixiang Zhang, He Zhang, Lidan Sun, Guangyi Fan, Meixia Ye, Libo Jiang, Xin Liu, Kaifeng Ma, Chengcheng Shi, Fei Bao, Rui Guan, Yu Han, Yuanyuan Fu, Huitang Pan, Zhaozhe Chen, Liangwei Li, Jia Wang, Meiqi Lv, Tangchun Zheng, Cunquan Yuan, Yuzhen Zhou, Simon Ming Yuen Lee, Xiaolan Yan, Xun Xu, Rongling Wu, Wenbin Chen, Tangren Cheng, 2018, Nature Communications
A regulatory network for mir156-spl module in arabidopsis thaliana
Chenfei Zheng, Meixia Ye, Mengmeng Sang, Rongling Wu, 2019, International Journal of Molecular Sciences
An overview of the prediction of protein DNA-binding sites
Jingna Si, Rui Zhao, Rongling Wu, 2015, International Journal of Molecular Sciences on p. 5194-5215
Deep-sequencing transcriptome analysis of low temperature perception in a desert tree, Populus euphratica
Jinhuan Chen, Qianqian Tian, Tao Pang, Libo Jiang, Rongling Wu, Xinli Xia, Weilun Yin, 2014, BMC Genomics
Computational prediction of RNA-binding proteins and binding sites
Jingna Si, Jing Cui, Jin Cheng, Rongling Wu, 2015, International Journal of Molecular Sciences on p. 26303-26317
High-level genetic diversity and complex population structure of Siberian apricot (Prunus sibirica L.) in China as revealed by nuclear SSR markers
Zhe Wang, Ming Kang, Huabo Liu, Jiao Gao, Zhengdong Zhang, Yingyue Li, Rongling Wu, Xiaoming Pang, 2014, PLoS One
Co-shared genetics and possible risk gene pathway partially explain the comorbidity of schizophrenia, major depressive disorder, type 2 diabetes, and metabolic syndrome
Teodor T. Postolache, Laura del Bosque-Plata, Serge Jabbour, Michael Vergare, Rongling Wu, Claudia Gragnoli, 2019, American Journal of Medical Genetics, Part B: Neuropsychiatric Genetics on p. 186-203
News Articles Featuring Rongling Wu
Nov 08, 2019
Personalized gene networks may enhance study of disease
Researchers at Penn State College of Medicine have developed a new method to model how genes interact with each other — and it may someday contribute to the development of personalized treatments for patients.
Full Article
Nov 07, 2019
New method to construct personalized gene networks may contribute to personalized treatments
Researchers at Penn State College of Medicine have developed a new method to model how genes interact with each other -- and it may someday contribute to the development of personalized treatments for patients.
Full Article
Nov 07, 2019
Personalized gene networks enhance study of disease
Researchers at Penn State College of Medicine have developed a new method to model how genes interact with each other—and it may someday contribute to the development of personalized treatments for patients.
Full Article