Zuoheng Anita Wang, PhD
Research & Publications
Biography
News
Research Summary
Dr. Wang's research focuses on combining genetics, genomics, immunology, and statistical modeling to answer biologically important questions in genetic epidemiological studies. Her statistical expertise lies in longitudinal data analysis, varying coefficient models, mixed effects models, kernel machine methods, mediation analysis, machine learning methods, and network analysis. Dr. Wang develops statistically innovative methods and computationally efficient tools in large-scale genetic and genomic studies to identify genetic susceptibility variants and advance the understanding of the etiology of complex diseases including breast cancer, alcohol and drug abuse, asthma, autism, obesity, lung and cardiovascular diseases. Current studies include using next-generation sequencing data to detect rare genetic variants in longitudinal genetic studies, combining knowledge in genomics and immunology to understand the risk of breast cancer survival, addressing statistical challenges in single-cell RNA sequencing data and spatial transcriptomics, and machine learning for risk prediction in electronic health records data.
Specialized Terms: Longitudinal data analysis; Varying coefficient models; Mixed effects models; Kernel machine methods; Mediation analysis; Machine learning methods; Network analysis; Whole genome sequencing; Bulk and single-cell RNA sequencing; Spatial transcriptomics; Biomarker studies; Electronic health records
Coauthors
Research Interests
Genetics; Biomarkers; Statistics; Genomics
Public Health Interests
Bioinformatics; Biomarkers; Cancer; Genetics, Genomics, Epigenetics
Selected Publications
- Correction: iDESC: identifying differential expression in single-cell RNA sequencing data with multiple subjectsLiu Y, Zhao J, Adams T, Wang N, Schupp J, Wu W, McDonough J, Chupp G, Kaminski N, Wang Z, Yan X. Correction: iDESC: identifying differential expression in single-cell RNA sequencing data with multiple subjects. BMC Bioinformatics 2023, 24: 394. PMID: 37858060, PMCID: PMC10588114, DOI: 10.1186/s12859-023-05523-6.
- tRFtarget 2.0: expanding the targetome landscape of transfer RNA-derived fragmentsLi N, Yao S, Yu G, Lu L, Wang Z. tRFtarget 2.0: expanding the targetome landscape of transfer RNA-derived fragments. Nucleic Acids Research 2023, 52: d345-d350. PMID: 37811890, PMCID: PMC10767876, DOI: 10.1093/nar/gkad815.
- Cis-meQTL for cocaine use-associated DNA methylation in an HIV-positive cohort show pleiotropic effects on multiple traitsCheng Y, Justice A, Wang Z, Li B, Hancock D, Johnson E, Xu K. Cis-meQTL for cocaine use-associated DNA methylation in an HIV-positive cohort show pleiotropic effects on multiple traits. BMC Genomics 2023, 24: 556. PMID: 37730558, PMCID: PMC10510240, DOI: 10.1186/s12864-023-09661-2.
- iDESC: identifying differential expression in single-cell RNA sequencing data with multiple subjectsLiu Y, Zhao J, Adams T, Wang N, Schupp J, Wu W, McDonough J, Chupp G, Kaminski N, Wang Z, Yan X. iDESC: identifying differential expression in single-cell RNA sequencing data with multiple subjects. BMC Bioinformatics 2023, 24: 318. PMID: 37608264, PMCID: PMC10463720, DOI: 10.1186/s12859-023-05432-8.
- Differences in Mortality Among Patients With Asthma and COPD Hospitalized With COVID-19Liu Y, Rajeevan H, Simonov M, Lee S, Wilson F, Desir G, Vinetz J, Yan X, Wang Z, Clark B, Possick J, Price C, Lutchmansingh D, Ortega H, Zaeh S, Gomez J, Cohn L, Gautam S, Chupp G. Differences in Mortality Among Patients With Asthma and COPD Hospitalized With COVID-19. The Journal Of Allergy And Clinical Immunology In Practice 2023, 11: 3383-3390.e3. PMID: 37454926, PMCID: PMC10787810, DOI: 10.1016/j.jaip.2023.07.006.
- Computational and Statistical Methods for Single-Cell RNA Sequencing DataWang Z, Yan X. Computational and Statistical Methods for Single-Cell RNA Sequencing Data. 2022, 3-35. DOI: 10.1007/978-3-662-65902-1_1.
- tRFtarget: a database for transfer RNA-derived fragment targetsLi N, Shan N, Lu L, Wang Z. tRFtarget: a database for transfer RNA-derived fragment targets. Nucleic Acids Research 2020, 49: d254-d260. PMID: 33035346, PMCID: PMC7779015, DOI: 10.1093/nar/gkaa831.
- Maximum likelihood estimation of nonlinear mixed-effects models with crossed random effects by combining first-order conditional linearization and sequential quadratic programmingFu L, Wang M, Wang Z, Song X, Tang S. Maximum likelihood estimation of nonlinear mixed-effects models with crossed random effects by combining first-order conditional linearization and sequential quadratic programming. International Journal Of Biomathematics 2019, 12: 1950040. DOI: 10.1142/s1793524519500402.
- Isolation and characterization of a poplar d-type cyclin gene associated with the SHORT-ROOT/SCARECROW networkXu M, Liu S, Xuan L, Huang M, Wang Z. Isolation and characterization of a poplar d-type cyclin gene associated with the SHORT-ROOT/SCARECROW network. Trees 2015, 30: 255-263. DOI: 10.1007/s00468-015-1296-y.
- A Genome-Wide Association Study on Obesity and Obesity-Related TraitsWang K, Li W, Zhang C, Wang Z, Glessner J, Grant S, Zhao H, Hakonarson H, Price R. A Genome-Wide Association Study on Obesity and Obesity-Related Traits. 2014, 57-69. DOI: 10.1201/b16443-4.
- Prognostic significance of the AJCC staging in patients with squamous cell carcinoma of the oropharynx.Acevedo-Gadea C, Baumgart M, Wang Z, Deshpande H, Davies M, Decker R, Sasaki C, Judson B, Herbst R, Morgensztern D. Prognostic significance of the AJCC staging in patients with squamous cell carcinoma of the oropharynx. Journal Of Clinical Oncology 2012, 30: 5529-5529. DOI: 10.1200/jco.2012.30.15_suppl.5529.
- Influence of extracapsular extension on lymph node staging for patients with squamous cell carcinoma of the head and neck.Baumgart M, Acevedo-Gadea C, Wang Z, Buta E, Davies M, Deshpande H, Decker R, Sasaki C, Judson B, Herbst R, Morgensztern D. Influence of extracapsular extension on lymph node staging for patients with squamous cell carcinoma of the head and neck. Journal Of Clinical Oncology 2012, 30: 5532-5532. DOI: 10.1200/jco.2012.30.15_suppl.5532.
- Correction: A Genome-Wide Association Study on Obesity and Obesity-Related TraitsWang K, Li W, Zhang C, Wang Z, Glessner J, Grant S, Zhao H, Hakonarson H, Price R. Correction: A Genome-Wide Association Study on Obesity and Obesity-Related Traits. PLOS ONE 2012, 7: 10.1371/annotation/a34ee94e-3e6a-48bd-a19e-398a4bb88580. PMCID: PMC3293772, DOI: 10.1371/annotation/a34ee94e-3e6a-48bd-a19e-398a4bb88580.
- Abstract 349: Fascin expression in colorectal cancer metastases predicts survival after curative-intent surgerySullivan C, Guo X, Wang Z, Theoharis C, Rimm D, Boffa D. Abstract 349: Fascin expression in colorectal cancer metastases predicts survival after curative-intent surgery. Cancer Research 2011, 71: 349-349. DOI: 10.1158/1538-7445.am2011-349.
- Joint Functional Mapping of Quantitative Trait Loci for HIV-1 and CD4+ DynamicsWang Z, Li Y, Li Q, Wu R. Joint Functional Mapping of Quantitative Trait Loci for HIV-1 and CD4+ Dynamics. The International Journal Of Biostatistics 2009, 5 DOI: 10.2202/1557-4679.1136.
- A statistical model for functional mapping of quantitative trait loci regulating drug responseGong Y, Wang Z, Liu T, Zhao W, Zhu Y, Johnson J, Wu R. A statistical model for functional mapping of quantitative trait loci regulating drug response. The Pharmacogenomics Journal 2004, 4: 315-321. PMID: 15263889, DOI: 10.1038/sj.tpj.6500262.