Ning Sun
Research & Publications
Biography
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Research Summary
As a research scientist with expertise in mathematical modeling, numerical analysis, and statistical inference, I have focused on the development and applications of statistical methods for biological and biomedical research. My early focus was on the analysis of microarray data to characterize expression profiles in different tissues and developmental stages and reconstruct regulatory networks. Since then, I have focused on developing tools and pipelines for genome wide association studies, and collaborated with research teams to identify genes associated with psychiatric and substance dependence disorders. My current research focuses on statistical genetics and genomics where rich information has become available in the last decade to allow researchers to probe the whole human genome to identify regions associated with common diseases. I am also interested in developing a statistical framework to integrate phenotype information (through ontology matching) and genome wide association results as well as other sources (e.g. literature, functional information) to assess the disease risk for different phenotypes, discover the functional variants causing a disease, and identify the most effective treatment for patients.
Coauthors
Research Interests
Genetics; Statistics; Genomics; Systems Biology; Biostatistics
Public Health Interests
Aging; Cancer; Genetics, Genomics, Epigenetics
Selected Publications
- Genomic approaches in dissecting complex biological pathways.Sun N, Zhao H. Genomic approaches in dissecting complex biological pathways. Pharmacogenomics 2004, 5: 163-79. PMID: 15016608, DOI: 10.1517/phgs.5.2.163.27488.
- Bayesian error analysis model for reconstructing transcriptional regulatory networks.Sun N, Carroll RJ, Zhao H. Bayesian error analysis model for reconstructing transcriptional regulatory networks. Proceedings Of The National Academy Of Sciences Of The United States Of America 2006, 103: 7988-93. PMID: 16702552, PMCID: PMC1472417, DOI: 10.1073/pnas.0600164103.
- A transcriptome atlas of rice cell types uncovers cellular, functional and developmental hierarchies.Jiao Y, Tausta SL, Gandotra N, Sun N, Liu T, Clay NK, Ceserani T, Chen M, Ma L, Holford M, Zhang HY, Zhao H, Deng XW, Nelson T. A transcriptome atlas of rice cell types uncovers cellular, functional and developmental hierarchies. Nature Genetics 2009, 41: 258-63. PMID: 19122662, DOI: 10.1038/ng.282.
- Putting things in order.Sun N, Zhao H. Putting things in order. Proceedings Of The National Academy Of Sciences Of The United States Of America 2014, 111: 16236-7. PMID: 25380598, PMCID: PMC4246324, DOI: 10.1073/pnas.1418862111.
- Genome-wide association study of post-traumatic stress disorder reexperiencing symptoms in >165,000 US veterans.Gelernter J, Sun N, Polimanti R, Pietrzak R, Levey DF, Bryois J, Lu Q, Hu Y, Li B, Radhakrishnan K, Aslan M, Cheung KH, Li Y, Rajeevan N, Sayward F, Harrington K, Chen Q, Cho K, Pyarajan S, Sullivan PF, Quaden R, Shi Y, Hunter-Zinck H, Gaziano JM, Concato J, Zhao H, Stein MB. Genome-wide association study of post-traumatic stress disorder reexperiencing symptoms in >165,000 US veterans. Nature Neuroscience 2019, 22: 1394-1401. PMID: 31358989, PMCID: PMC6953633, DOI: 10.1038/s41593-019-0447-7.
- Genome-wide association study of cognitive performance in U.S. veterans with schizophrenia or bipolar disorder.Harvey PD, Sun N, Bigdeli TB, Fanous AH, Aslan M, Malhotra AK, Lu Q, Hu Y, Li B, Chen Q, Mane S, Miller P, Rajeevan N, Sayward F, Cheung KH, Li Y, Greenwood TA, Gur RE, Braff DL, Brophy M, Pyarajan S, O'Leary TJ, Gleason T, Przygodszki R, Muralidhar S, Gaziano JM, Concato J, Zhao H, Siever LJ. Genome-wide association study of cognitive performance in U.S. veterans with schizophrenia or bipolar disorder. American Journal Of Medical Genetics. Part B, Neuropsychiatric Genetics : The Official Publication Of The International Society Of Psychiatric Genetics 2020, 183: 181-194. PMID: 31872970, DOI: 10.1002/ajmg.b.32775.
- Genotyping Array Design and Data Quality Control in the Million Veteran Program.Hunter-Zinck H, Shi Y, Li M, Gorman BR, Ji SG, Sun N, Webster T, Liem A, Hsieh P, Devineni P, Karnam P, Gong X, Radhakrishnan L, Schmidt J, Assimes TL, Huang J, Pan C, Humphries D, Brophy M, Moser J, Muralidhar S, Huang GD, Przygodzki R, Concato J, Gaziano JM, Gelernter J, O'Donnell CJ, Hauser ER, Zhao H, O'Leary TJ, Tsao PS, Pyarajan S. Genotyping Array Design and Data Quality Control in the Million Veteran Program. American Journal Of Human Genetics 2020, 106: 535-548. PMID: 32243820, PMCID: PMC7118558, DOI: 10.1016/j.ajhg.2020.03.004.