Featured Publications
A statistical framework to identify cell types whose genetically regulated proportions are associated with complex diseases
Liu W, Deng W, Chen M, Dong Z, Zhu B, Yu Z, Tang D, Sauler M, Lin C, Wain L, Cho M, Kaminski N, Zhao H. A statistical framework to identify cell types whose genetically regulated proportions are associated with complex diseases. PLOS Genetics 2023, 19: e1010825. PMID: 37523391, PMCID: PMC10414598, DOI: 10.1371/journal.pgen.1010825.Peer-Reviewed Original ResearchConceptsCell typesDisease-associated tissuesWide association studyComplex diseasesCell type proportionsDisease-relevant tissuesReal GWAS dataFunctional genesTranscriptomic dataGWAS dataGenetic dataAssociation studiesNovel statistical frameworkChronic obstructive pulmonary diseaseStatistical frameworkObstructive pulmonary diseaseIdiopathic pulmonary fibrosisBreast cancer riskType proportionsBlood CD8Pulmonary diseasePulmonary fibrosisPredictive biomarkersLung tissueBreast cancer
2024
Using clinical and genetic risk factors for risk prediction of 8 cancers in the UK Biobank
Hu J, Ye Y, Zhou G, Zhao H. Using clinical and genetic risk factors for risk prediction of 8 cancers in the UK Biobank. JNCI Cancer Spectrum 2024, 8: pkae008. PMID: 38366150, PMCID: PMC10919929, DOI: 10.1093/jncics/pkae008.Peer-Reviewed Original ResearchPolygenic risk scoresUK BiobankCancer riskClinical risk factorsRisk of breast cancerRisk factorsPolygenic risk score modelHigh risk of developing cancerRisk of developing cancerLate-onset patientsRisk predictionClinical variablesHigh-risk individualsCox proportional hazards modelsProportional hazards modelGenetic risk factorsBaseline traitsClinical risk modelRisk scoreEarly-onset patientsHazards modelLate-onset groupEarly-onset groupBreast cancerHigh risk
2023
Predicting Breast Cancer Risk for Women Veterans of African Ancestry in the Million Veteran Program
Luoh S, Minnier J, Zhao H, Gao L. Predicting Breast Cancer Risk for Women Veterans of African Ancestry in the Million Veteran Program. Health Equity 2023, 7: 303-306. PMID: 37284538, PMCID: PMC10240329, DOI: 10.1089/heq.2023.0011.Peer-Reviewed Original ResearchBreast cancer riskBreast cancerMillion Veteran ProgramCancer riskPolygenic risk scoresWomen veteransHigher breast cancer riskRisk prediction instrumentsIncident breast cancerLow-risk womenBreast cancer preventionBreast cancer incidenceIndividual breast cancer riskBreast cancer mortalityPredicting Breast Cancer RiskBreast cancer screeningVeteran ProgramMajor health threatPrediction instrumentGenetic variantsEuropean ancestry womenProspective cohortRisk womenCancer mortalityCancer screeningEarly breast cancer risk detection: a novel framework leveraging polygenic risk scores and machine learning
Tao L, Ye Y, Zhao H. Early breast cancer risk detection: a novel framework leveraging polygenic risk scores and machine learning. Journal Of Medical Genetics 2023, 60: 960-964. PMID: 37055164, DOI: 10.1136/jmg-2022-108582.Peer-Reviewed Original ResearchConceptsBreast cancerPolygenic risk scoresRisk scoreBC risk assessmentClinical breast examNon-genetic risk factorsHigh-risk individualsFemale participantsBreast examCancer deathCommon cancerBC screeningRisk factorsBC diagnosisDisease risk predictionDiagnostic stepsPopulation screeningGenetic riskRisk predictionUK BiobankCancerDiagnosisDiagnostic pipelineWomenDetection test
1997
Strategies to Identify Genes for Complex Diseases
Zhang H, Zhao H, Merikangas K. Strategies to Identify Genes for Complex Diseases. Annals Of Medicine 1997, 29: 493-498. PMID: 9562515, DOI: 10.3109/07853899709007473.Peer-Reviewed Original ResearchConceptsComplex diseasesNumerous human diseasesDisease-susceptible genesComplex human disordersHuman genomeGenetic basisHuman disordersHuman diseasesMolecular biologyGenesGenetic epidemiological studiesGenetic factorsComplex patternsDisease pathophysiologyGenomeBiologyTraitsInheritanceMultiple sclerosisBreast cancerEpidemiological studies