2021
On cross-ancestry cancer polygenic risk scores
Fritsche L, Ma Y, Zhang D, Salvatore M, Lee S, Zhou X, Mukherjee B. On cross-ancestry cancer polygenic risk scores. PLOS Genetics 2021, 17: e1009670. PMID: 34529658, PMCID: PMC8445431, DOI: 10.1371/journal.pgen.1009670.Peer-Reviewed Original ResearchConceptsPolygenic risk scoresGenome-wide association studiesProstate cancer polygenic risk scoresPolygenic risk score distributionRecruitment of diverse participantsAncestry groupsPolygenic risk score methodsRisk scoreNon-genetic risk factorsElectronic health recordsBreast cancer casesHealth recordsUK BiobankGWAS effortsDisease risk assessmentCancer casesAssociation studiesGenetic dataEuropean ancestryPersonalized risk stratificationSummary statisticsRisk factorsAncestryDiverse participantsField of cancer
2017
Update on the State of the Science for Analytical Methods for Gene-Environment Interactions
Gauderman W, Mukherjee B, Aschard H, Hsu L, Lewinger J, Patel C, Witte J, Amos C, Tai C, Conti D, Torgerson D, Lee S, Chatterjee N. Update on the State of the Science for Analytical Methods for Gene-Environment Interactions. American Journal Of Epidemiology 2017, 186: 762-770. PMID: 28978192, PMCID: PMC5859988, DOI: 10.1093/aje/kwx228.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesG x EGene-environment interactionsAssociation studiesAnalysis of gene-environment interactionsQuantitative trait studiesComplex traitsGenetic dataGene setsTrait studiesGene-environmentCase-controlEnvironmental dataConsortium settingFormation of consortiaGenesConsortiumAnalytical challengesTraitsSetsStudyInteractionStatistical approachData