Ning Sun, PhD
Senior Research Scientist in BiostatisticsCards
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About
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Senior Research Scientist in Biostatistics
Biography
Dr. Sun is a Research Scientist in the Department of Biostatistics. She received her B.S. in Civil and Environmental Engineering from Tsinghua University in 1991 and Ph.D. in Environmental Engineering from the University of California at Los Angeles in 1998. Prior to her position at Yale School of Public Health, she was a Postdoctoral Associate and Associate Research Scientist in Chemical Engineering at Yale between 1998 and 2000. Dr. Sun has extensive experiences in environmental engineering focusing on modeling contaminant transport in heterogeneous porous media, and she developed a mathematical and computational approach for colloid surface interactions in Chemical Engineering. As a bioinformatician and biostatistician, Dr. Sun is experienced in statistical methods for transcriptome analysis using both gene expression microarray data and next generation sequencing data, regulatory network modeling, data integration methods, functional genomics, and genome wide association studies. Dr. Sun has developed a number of novel statistical methods for more efficient data integration for the purpose of inferring gene expression networks and disease gene identifications.
Appointments
Biostatistics
Senior Research ScientistPrimary
Other Departments & Organizations
Education & Training
- PhD
- University of California at Los Angeles (1998)
- MS
- University of California at Los Angeles (1994)
- BS
- Tsinghua University (1991)
Research
Overview
Medical Research Interests
Public Health Interests
ORCID
0000-0002-4123-5362
Research at a Glance
Yale Co-Authors
Publications Timeline
Research Interests
Hongyu Zhao, PhD
Mihaela Aslan, PhD
Joel Gelernter, MD
Nallakkandi Rajeevan, PhD
John Concato, MD, FACP, MS, MPH
Vasilis Vasiliou, PhD
Publications
2024
CYP2E1 in 1,4-dioxane metabolism and liver toxicity: insights from CYP2E1 knockout mice study
Wang Y, Charkoftaki G, Orlicky D, Davidson E, Aalizadeh R, Sun N, Ginsberg G, Thompson D, Vasiliou V, Chen Y. CYP2E1 in 1,4-dioxane metabolism and liver toxicity: insights from CYP2E1 knockout mice study. Archives Of Toxicology 2024, 98: 3241-3257. PMID: 39192018, PMCID: PMC11500436, DOI: 10.1007/s00204-024-03811-5.Peer-Reviewed Original ResearchConceptsCYP2E1-null miceLiver toxicityDrinking waterOxidative DNA damageLiver carcinogenAbstract1,4-DioxaneDNA damage repair responseImpaired DNA damage repairWater contaminationOxidative stressElevated oxidative stressEnvironmental pollutionKnockout mouse studiesDamage repair responseCYP2E1-nullMale wildtypeWT miceDNA damageDX exposureRisk assessmentRedox dysregulationCYP2E1 inductionLiver oxidative stressHigh dosesMouse studiesLong-term exposure to ambient fine particulate matter and risk of liver cancer in the NIH-AARP Diet and Health Study
Ma X, Fisher J, McGlynn K, Liao L, Vasiliou V, Sun N, Kaufman J, Silverman D, Jones R. Long-term exposure to ambient fine particulate matter and risk of liver cancer in the NIH-AARP Diet and Health Study. Environment International 2024, 187: 108637. PMID: 38636274, PMCID: PMC11286199, DOI: 10.1016/j.envint.2024.108637.Peer-Reviewed Original ResearchMeSH Keywords and ConceptsConceptsRisk of liver cancerIncreased risk of liver cancerFine particulate matterNIH-AARP DietNIH-AARPParticulate matterHistorical PM<sub>2.5</sub> concentrationsOutdoor PM<sub>2.5</sub> levelsAmbient PM<sub>2.5</sub> levelsLong-term exposure to ambient fine particulate matterHealth StudyExposure to ambient fine particulate matterAmbient fine particulate matterAssociated with liver cancer riskYears prior to cancer diagnosisEvidence of effect modificationLiver cancer riskLiver cancer incidenceIncreased riskSpatiotemporal prediction modelAmbient PM2.5 levelsPM2.5 levelsHistorical exposure assessmentBody mass indexPhysical activityTemporal control of the Aux/IAA genes BnIAA32 and BnIAA34 mediates Brassica napus dual shade responses
Li Y, Guo Y, Cao Y, Xia P, Xu D, Sun N, Jiang L, Dong J. Temporal control of the Aux/IAA genes BnIAA32 and BnIAA34 mediates Brassica napus dual shade responses. Journal Of Integrative Plant Biology 2024, 66: 928-942. PMID: 37929685, DOI: 10.1111/jipb.13582.Peer-Reviewed Original ResearchMeSH Keywords and ConceptsConceptsB. napus seedlingsShade responseAuxin biosynthesisHypocotyl elongationGenome-wide selective sweep analysisAuxin/indole-3-acetic acidSelective sweep analysisShade-avoiding plantsIncreased auxin biosynthesisShade avoidance responseSensitivity to auxinInhibit hypocotyl elongationAuxin signalingArabidopsis thalianaShort hypocotylsPhytochrome AShade toleranceGenetic studiesB. napusPlant growthMolecular mechanismsBrassica napusLight qualitySeedlingsArabidopsis
2023
Ambient fine particulate matter exposure and risk of incident liver cancer in the NIH-AARP Diet and Health Study
Ma X, Fisher J, McGlynn K, Liao L, Vasiliou V, Sun N, Kaufman J, Silverman D, Jones R. Ambient fine particulate matter exposure and risk of incident liver cancer in the NIH-AARP Diet and Health Study. ISEE Conference Abstracts 2023, 2023 DOI: 10.1289/isee.2023.vo-011.Peer-Reviewed Original ResearchEffects of surface roughness on van der Waals and electrostatic contributions to particle-particle interactions and particle adhesion
Walz J, Sun N. Effects of surface roughness on van der Waals and electrostatic contributions to particle-particle interactions and particle adhesion. 2023, 151-169. DOI: 10.1201/9780429070716-11.Peer-Reviewed Original ResearchConceptsSurface roughnessVan der WaalsArbitrary surface roughnessEffect of surface roughnessFlat triangular elementsBoundary element approachParticle-particle interactionsParticle contactsElement approachConstant surface charge densityTriangular elementsParticle adhesionCharged particlesSpherical particlesConstant surface potentialInteracting particlesRoughnessVan der Waals interactionsSeparation distanceSurface charge densityParticle radiusPresence of bumpsLinearized Poisson-Boltzmann equationSurface potentialCharge density
2022
Use of clinical chemistry health outcomes and PFAS chain length to predict 28-day rodent oral toxicity
Bellia G, Bilott R, Sun N, Thompson D, Vasiliou V. Use of clinical chemistry health outcomes and PFAS chain length to predict 28-day rodent oral toxicity. Toxicology Mechanisms And Methods 2022, 33: 378-387. PMID: 36446747, PMCID: PMC10625160, DOI: 10.1080/15376516.2022.2150591.Peer-Reviewed Original Research
2020
Genome-wide association study of smoking trajectory and meta-analysis of smoking status in 842,000 individuals
Xu K, Li B, McGinnis KA, Vickers-Smith R, Dao C, Sun N, Kember RL, Zhou H, Becker WC, Gelernter J, Kranzler HR, Zhao H, Justice AC. Genome-wide association study of smoking trajectory and meta-analysis of smoking status in 842,000 individuals. Nature Communications 2020, 11: 5302. PMID: 33082346, PMCID: PMC7598939, DOI: 10.1038/s41467-020-18489-3.Peer-Reviewed Original ResearchMeSH Keywords and ConceptsConceptsGenome-wide association studiesLarge genome-wide association studiesMillion Veteran ProgramAssociation studiesExpression quantitative trait lociQuantitative trait lociChromatin interactionsComplex traitsFunctional annotationTrait lociSequencing ConsortiumDozen genesSignificant lociSmoking phenotypesLociMultiple populationsNew insightsPhenotypeVeteran ProgramGenetic vulnerabilityGenesTraitsAnnotationEuropean AmericansConsortiumStatistical Methods in Genome-Wide Association Studies
Sun N, Zhao H. Statistical Methods in Genome-Wide Association Studies. Annual Review Of Biomedical Data Science 2020, 3: 1-24. DOI: 10.1146/annurev-biodatasci-030320-041026.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesAssociation studiesTraits of interestGenetic architectureIdentification of variantsGWAS dataStatistical methodologyStatistical challengesGenetic risk prediction modelsGenetic markersStatistical methodsHuman diseasesPhenotype informationGenetic variantsTraitsGenotype informationScientific goalsRecent progressGenesVariantsTens of thousandsHundreds of thousandsPrediction modelPathwayThousandsGenotyping 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 C, Hauser ER, Zhao H, O’Leary T, Program V, 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.Peer-Reviewed Original ResearchMeSH Keywords and ConceptsConceptsMillion Veteran ProgramGenome-wide association studiesGenome-wide scanHigh-quality genotypesArray-based genotypingWhole-genome sequencingNon-European individualsAssociation studiesGenetic markersOmics assaysAxiom arrayDownstream analysisVeteran ProgramCommon variantsGenetic associationAfrican American ancestryAmerican ancestryMVP cohortRare variantsSingle assayDiversityFurther data releasesLarge biobanksPromising resourceQuality control
2019
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 K, Li Y, Greenwood TA, Gur RE, Braff DL, on the Genetics of Schizophrenia C, 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 2019, 183: 181-194. PMID: 31872970, DOI: 10.1002/ajmg.b.32775.Peer-Reviewed Original ResearchMeSH Keywords and ConceptsMeSH KeywordsAdultAgedAllelesBipolar DisorderCognitionCognition DisordersFemaleGenome-Wide Association StudyGenotypeHumansMaleMiddle AgedNeuropsychological TestsOligonucleotide Array Sequence AnalysisPolymorphism, Single NucleotideSchizophreniaUnited StatesUnited States Department of Veterans AffairsVeterans
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