2020
Genome-Wide Gene–Diabetes and Gene–Obesity Interaction Scan in 8,255 Cases and 11,900 Controls from PanScan and PanC4 Consortia
Tang H, Jiang L, Stolzenberg-Solomon RZ, Arslan AA, Beane Freeman LE, Bracci PM, Brennan P, Canzian F, Du M, Gallinger S, Giles GG, Goodman PJ, Kooperberg C, Le Marchand L, Neale RE, Shu XO, Visvanathan K, White E, Zheng W, Albanes D, Andreotti G, Babic A, Bamlet WR, Berndt SI, Blackford A, Bueno-de-Mesquita B, Buring JE, Campa D, Chanock SJ, Childs E, Duell EJ, Fuchs C, Gaziano JM, Goggins M, Hartge P, Hassam MH, Holly EA, Hoover RN, Hung RJ, Kurtz RC, Lee IM, Malats N, Milne RL, Ng K, Oberg AL, Orlow I, Peters U, Porta M, Rabe KG, Rothman N, Scelo G, Sesso HD, Silverman DT, Thompson IM, Tjønneland A, Trichopoulou A, Wactawski-Wende J, Wentzensen N, Wilkens LR, Yu H, Zeleniuch-Jacquotte A, Amundadottir LT, Jacobs EJ, Petersen GM, Wolpin BM, Risch HA, Chatterjee N, Klein AP, Li D, Kraft P, Wei P. Genome-Wide Gene–Diabetes and Gene–Obesity Interaction Scan in 8,255 Cases and 11,900 Controls from PanScan and PanC4 Consortia. Cancer Epidemiology Biomarkers & Prevention 2020, 29: 1784-1791. PMID: 32546605, PMCID: PMC7483330, DOI: 10.1158/1055-9965.epi-20-0275.Peer-Reviewed Original ResearchConceptsSNP levelGenome-wide association study datasetGenome-wide levelGene-based analysisGWAS summary statisticsJoint effect testsGxE analysisGWAS top hitsPopulation substructureSignificant GxE interactionGene levelGene-environment interaction analysisAdditional genetic factorsTop hitsEnvironmental variablesGenetic variantsDiabetes/obesityGxE interactionsPancreatic cancerStudy sitesGenetic factorsMajor modifiable risk factorHit regionsModifiable risk factorsInteraction analysis
2011
Inherited Variants in Mitochondrial Biogenesis Genes May Influence Epithelial Ovarian Cancer Risk
Permuth-Wey J, Chen YA, Tsai YY, Chen Z, Qu X, Lancaster JM, Stockwell H, Dagne G, Iversen E, Risch H, Barnholtz-Sloan J, Cunningham JM, Vierkant RA, Fridley BL, Sutphen R, McLaughlin J, Narod SA, Goode EL, Schildkraut JM, Fenstermacher D, Phelan CM, Sellers TA. Inherited Variants in Mitochondrial Biogenesis Genes May Influence Epithelial Ovarian Cancer Risk. Cancer Epidemiology Biomarkers & Prevention 2011, 20: 1131-1145. PMID: 21447778, PMCID: PMC3111851, DOI: 10.1158/1055-9965.epi-10-1224.Peer-Reviewed Original ResearchMeSH KeywordsAdenocarcinoma, Clear CellAdenocarcinoma, MucinousBasic-Leucine Zipper Transcription FactorsCalcium-Calmodulin-Dependent Protein Kinase Type 2Case-Control StudiesCystadenocarcinoma, SerousDNA, MitochondrialEndometrial NeoplasmsFemaleGenes, MitochondrialGenotypeHeat-Shock ProteinsHumansMiddle AgedMitochondrial ProteinsNF-E2-Related Factor 2Nuclear Respiratory Factor 1Ovarian NeoplasmsOxidative StressPeroxisome Proliferator-Activated Receptor Gamma Coactivator 1-alphaPolymorphism, Single NucleotideReceptors, EstrogenRisk FactorsTranscription FactorsConceptsMitochondrial biogenesis genesSingle nucleotide polymorphismsBiogenesis genesMitochondrial biogenesisSNP-level associationsOxidative phosphorylation pathwayEpithelial ovarian cancer susceptibilityMitochondrial-related genesGenes/regionsMitochondrial genomeOxidative stressPhosphorylation pathwayMTERFsSNP levelEOC susceptibilityGenesOvarian cancer susceptibilityNucleotide polymorphismsBiogenesisCancer susceptibilitySteroid hormone metabolismHormone metabolismEOC riskComplex mechanismsNongenetic factors