2023
Machine learning-based cluster analysis of immune cell subtypes and breast cancer survival
Wang Z, Katsaros D, Wang J, Biglio N, Hernandez B, Fei P, Lu L, Risch H, Yu H. Machine learning-based cluster analysis of immune cell subtypes and breast cancer survival. Scientific Reports 2023, 13: 18962. PMID: 37923775, PMCID: PMC10624674, DOI: 10.1038/s41598-023-45932-4.Peer-Reviewed Original ResearchConceptsImmune cell clustersT cellsHost immunityImmune cellsUnsupervised hierarchical clusteringImmune responseCD8-positive T cellsMemory CD4 T cellsCox regression survival analysisRegulatory T cellsPositive T cellsCD4 T cellsDifferent immune cellsDistinct immune responsesBreast cancer survivalImmune cell subtypesMemory B cellsImmune cell typesRegression survival analysisCell clustersBreast cancer progressionT cell receptor signalingCytokine stormOverall survivalFavorable survivalNight shift work, sleep duration and endometrial cancer risk: A pooled analysis from the Epidemiology of Endometrial Cancer Consortium (E2C2)
Frias-Gomez J, Alemany L, Benavente Y, Clarke M, de Francisco J, De Vivo I, Du M, Goodman M, Lacey J, Liao L, Lipworth L, Lu L, Merritt M, Michels K, O'Connell K, Paytubi S, Pelegrina B, Peremiquel-Trillas P, Petruzella S, Ponce J, Risch H, Setiawan V, Schouten L, Shu X, Trabert B, Van den Brandt P, Wentzensen N, Wilkens L, Yu H, Costas L. Night shift work, sleep duration and endometrial cancer risk: A pooled analysis from the Epidemiology of Endometrial Cancer Consortium (E2C2). Sleep Medicine Reviews 2023, 72: 101848. PMID: 37716022, PMCID: PMC10840870, DOI: 10.1016/j.smrv.2023.101848.Peer-Reviewed Original ResearchConceptsNight shift workEndometrial Cancer ConsortiumEndometrial cancer riskEndometrial cancerSleep durationShift workPostmenopausal womenPooled analysisInverse associationOdds ratioCancer riskCancer ConsortiumNon-significant inverse associationStudy-specific odds ratiosEndometrial cancer casesStrong risk factorConfidence intervalsLong sleep durationDaily sleep durationObese womenRisk factorsCancer casesLogistic regressionIndividual dataCancerFolate Intake and Ovarian Cancer Risk among Women with Endometriosis: A Case–Control Study from the Ovarian Cancer Association Consortium
Gersekowski K, Ibiebele T, Group F, Doherty J, Harris H, Goodman M, Terry K, Wu A, Bandera E, Qin B, Ong J, Tyrer J, Dixon-Suen S, Modugno F, Risch H, Webb P. Folate Intake and Ovarian Cancer Risk among Women with Endometriosis: A Case–Control Study from the Ovarian Cancer Association Consortium. Cancer Epidemiology Biomarkers & Prevention 2023, 32: of1-of10. PMID: 37220873, PMCID: PMC10390886, DOI: 10.1158/1055-9965.epi-23-0121.Peer-Reviewed Original ResearchConceptsOvarian cancer riskHigh dietary folate intakeDietary folate intakeCase-control studyFolate intakeOvarian cancerOvarian Cancer Association ConsortiumCancer riskOdds ratioMendelian randomizationSelf-reported endometriosisSupplemental folate intakeHigh folate intakeHigh folate dietCancer-promoting effectsPooled analysisFolate dietPrecancerous lesionsFolate statusEndometriosisIncrease riskCancerCancer typesLogistic regressionIntakeRisk prediction models for endometrial cancer: development and validation in an international consortium
Shi J, Kraft P, Rosner B, Benavente Y, Black A, Brinton L, Chen C, Clarke M, Cook L, Costas L, Dal Maso L, Freudenheim J, Frias-Gomez J, Friedenreich C, Garcia-Closas M, Goodman M, Johnson L, La Vecchia C, Levi F, Lissowska J, Lu L, McCann S, Moysich K, Negri E, O'Connell K, Parazzini F, Petruzella S, Polesel J, Ponte J, Rebbeck T, Reynolds P, Ricceri F, Risch H, Sacerdote C, Setiawan V, Shu X, Spurdle A, Trabert B, Webb P, Wentzensen N, Wilkens L, Xu W, Yang H, Yu H, Du M, De Vivo I. Risk prediction models for endometrial cancer: development and validation in an international consortium. Journal Of The National Cancer Institute 2023, 115: 552-559. PMID: 36688725, PMCID: PMC10165481, DOI: 10.1093/jnci/djad014.Peer-Reviewed Original ResearchConceptsNurses' Health StudyRisk prediction modelNHS IIEndometrial cancerHealth StudyGenetic factorsEndometrial cancer incidence ratesOvarian Cancer Screening TrialCancer risk prediction modelsEndometrial Cancer ConsortiumPostmenopausal white womenCancer Screening TrialCancer risk stratificationCase-control studyRisk factor distributionCancer incidence ratesRelative risk estimatesEpidemiologic modelHeterogeneous study populationsPublic health practiceProphylactic hysterectomyRisk stratificationEpidemiologic factorsIncidence rateSelect cohortLifetime ovulatory years and risk of epithelial ovarian cancer: a multinational pooled analysis
Fu Z, Brooks M, Irvin S, Jordan S, Aben K, Anton-Culver H, Bandera E, Beckmann M, Berchuck A, Brooks-Wilson A, Chang-Claude J, Cook L, Cramer D, Cushing-Haugen K, Doherty J, Ekici A, Fasching P, Fortner R, Gayther S, Gentry-Maharaj A, Giles G, Goode E, Goodman M, Group A, Harris H, Hein A, Kaaks R, Kiemeney L, Köbel M, Kotsopoulos J, Kotsopoulos J, Le N, Lee A, Matsuo K, McGuire V, McLaughlin J, Menon U, Milne R, Moysich K, Pearce C, Pike M, Qin B, Ramus S, Riggan M, Rothstein J, Schildkraut J, Sieh W, Sutphen R, Terry K, Thompson P, Titus L, van Altena A, White E, Whittemore A, Wu A, Zheng W, Ziogas A, Taylor S, Tang L, Songer T, Wentzensen N, Webb P, Risch H, Modugno F. Lifetime ovulatory years and risk of epithelial ovarian cancer: a multinational pooled analysis. Journal Of The National Cancer Institute 2023, 115: 539-551. PMID: 36688720, PMCID: PMC10165492, DOI: 10.1093/jnci/djad011.Peer-Reviewed Original ResearchConceptsEpithelial ovarian cancerOral contraceptive useClear cell histotypeOvulatory yearsOvulation suppressionOdds ratioOvarian cancerContraceptive useNonmucinous epithelial ovarian cancerConfidence intervalsConsistent protective effectCase patientsMucinous tumorsPooled analysisProtective effectEOC riskControl participantsHistotypeCancerOvulationAssociationRegression modelsRiskYearsBeta coefficients
2022
Dietary omega-3 fatty acids and endometrial cancer risk in the Epidemiology of Endometrial Cancer Consortium: An individual-participant meta-analysis
Brasky T, Hade E, Cohn D, Newton A, Petruzella S, O'Connell K, Bertrand K, Cook L, De Vivo I, Du M, Freudenheim J, Friedenreich C, Goodman M, Gorzelitz J, Ibiebele T, Krogh V, Liao L, Lipworth L, Lu L, McCann S, O'Mara T, Palmer J, Ponte J, Prizment A, Risch H, Sandin S, Schouten L, Setiawan V, Shu X, Trabert B, van den Brandt P, Webb P, Wentzensen N, Wilkens L, Wolk A, Yu H, Neuhouser M. Dietary omega-3 fatty acids and endometrial cancer risk in the Epidemiology of Endometrial Cancer Consortium: An individual-participant meta-analysis. Gynecologic Oncology 2022, 169: 137-146. PMID: 36934308, PMCID: PMC10025515, DOI: 10.1016/j.ygyno.2022.10.015.Peer-Reviewed Original ResearchConceptsEndometrial cancer riskEndometrial Cancer ConsortiumHigh dietary intakeCancer riskDietary intakeObese womenOdds ratioCancer ConsortiumDietary omega-3 fatty acidsOmega-3 fatty acidsEnergy-adjusted quartilesEndometrial cancer casesEndometrial cancer incidenceProspective cohort studyFood frequency questionnaireNormal-weight womenFatty acid intakeAdjusted odds ratioBody mass indexLong-chain omega-3Anti-inflammatory propertiesSubgroup of womenConfidence intervalsCase-control studyTwo-stage individual participant dataPolygenic risk modeling for prediction of epithelial ovarian cancer risk
Dareng EO, Tyrer JP, Barnes DR, Jones MR, Yang X, Aben KKH, Adank MA, Agata S, Andrulis IL, Anton-Culver H, Antonenkova NN, Aravantinos G, Arun BK, Augustinsson A, Balmaña J, Bandera EV, Barkardottir RB, Barrowdale D, Beckmann MW, Beeghly-Fadiel A, Benitez J, Bermisheva M, Bernardini MQ, Bjorge L, Black A, Bogdanova NV, Bonanni B, Borg A, Brenton JD, Budzilowska A, Butzow R, Buys SS, Cai H, Caligo MA, Campbell I, Cannioto R, Cassingham H, Chang-Claude J, Chanock SJ, Chen K, Chiew YE, Chung WK, Claes KBM, Colonna S, Cook L, Couch F, Daly M, Dao F, Davies E, de la Hoya M, de Putter R, Dennis J, DePersia A, Devilee P, Diez O, Ding Y, Doherty J, Domchek S, Dörk T, du Bois A, Dürst M, Eccles D, Eliassen H, Engel C, Evans G, Fasching P, Flanagan J, Fortner R, Machackova E, Friedman E, Ganz P, Garber J, Gensini F, Giles G, Glendon G, Godwin A, Goodman M, Greene M, Gronwald J, Hahnen E, Haiman C, Håkansson N, Hamann U, Hansen T, Harris H, Hartman M, Heitz F, Hildebrandt M, Høgdall E, Høgdall C, Hopper J, Huang R, Huff C, Hulick P, Huntsman D, Imyanitov E, Isaacs C, Jakubowska A, James P, Janavicius R, Jensen A, Johannsson O, John E, Jones M, Kang D, Karlan B, Karnezis A, Kelemen L, Khusnutdinova E, Kiemeney L, Kim B, Kjaer S, Komenaka I, Kupryjanczyk J, Kurian A, Kwong A, Lambrechts D, Larson M, Lazaro C, Le N, Leslie G, Lester J, Lesueur F, Levine D, Li L, Li J, Loud J, Lu K, Lubiński J, Mai P, Manoukian S, Marks J, Matsuno R, Matsuo K, May T, McGuffog L, McLaughlin J, McNeish I, Mebirouk N, Menon U, Miller A, Milne R, Minlikeeva A, Modugno F, Montagna M, Moysich K, Munro E, Nathanson K, Neuhausen S, Nevanlinna H, Yie J, Nielsen H, Nielsen F, Nikitina-Zake L, Odunsi K, Offit K, Olah E, Olbrecht S, Olopade O, Olson S, Olsson H, Osorio A, Papi L, Park S, Parsons M, Pathak H, Pedersen I, Peixoto A, Pejovic T, Perez-Segura P, Permuth J, Peshkin B, Peterlongo P, Piskorz A, Prokofyeva D, Radice P, Rantala J, Riggan M, Risch H, Rodriguez-Antona C, Ross E, Rossing M, Runnebaum I, Sandler D, Santamariña M, Soucy P, Schmutzler R, Setiawan V, Shan K, Sieh W, Simard J, Singer C, Sokolenko A, Song H, Southey M, Steed H, Stoppa-Lyonnet D, Sutphen R, Swerdlow A, Tan Y, Teixeira M, Teo S, Terry K, Terry M, Thomassen M, Thompson P, Thomsen L, Thull D, Tischkowitz M, Titus L, Toland A, Torres D, Trabert B, Travis R, Tung N, Tworoger S, Valen E, van Altena A, van der Hout A, Van Nieuwenhuysen E, van Rensburg E, Vega A, Edwards D, Vierkant R, Wang F, Wappenschmidt B, Webb P, Weinberg C, Weitzel J, Wentzensen N, White E, Whittemore A, Winham S, Wolk A, Woo Y, Wu A, Yan L, Yannoukakos D, Zavaglia K, Zheng W, Ziogas A, Zorn K, Kleibl Z, Easton D, Lawrenson K, DeFazio A, Sellers T, Ramus S, Pearce C, Monteiro A, Cunningham J, Goode E, Schildkraut J, Berchuck A, Chenevix-Trench G, Gayther S, Antoniou A, Pharoah P. Polygenic risk modeling for prediction of epithelial ovarian cancer risk. European Journal Of Human Genetics 2022, 30: 349-362. PMID: 35027648, PMCID: PMC8904525, DOI: 10.1038/s41431-021-00987-7.Peer-Reviewed Original Research
2021
The predictive ability of the 313 variant–based polygenic risk score for contralateral breast cancer risk prediction in women of European ancestry with a heterozygous BRCA1 or BRCA2 pathogenic variant
Lakeman IMM, van den Broek AJ, Vos JAM, Barnes DR, Adlard J, Andrulis IL, Arason A, Arnold N, Arun BK, Balmaña J, Barrowdale D, Benitez J, Borg A, Caldés T, Caligo MA, Chung WK, Claes KBM, Collée J, Couch F, Daly M, Dennis J, Dhawan M, Domchek S, Eeles R, Engel C, Evans D, Feliubadaló L, Foretova L, Friedman E, Frost D, Ganz P, Garber J, Gayther S, Gerdes A, Godwin A, Goldgar D, Hahnen E, Hake C, Hamann U, Hogervorst F, Hooning M, Hopper J, Hulick P, Imyanitov E, Isaacs C, Izatt L, Jakubowska A, James P, Janavicius R, Jensen U, Jiao Y, John E, Joseph V, Karlan B, Kets C, Konstantopoulou I, Kwong A, Legrand C, Leslie G, Lesueur F, Loud J, Lubiński J, Manoukian S, McGuffog L, Miller A, Gomes D, Montagna M, Mouret-Fourme E, Nathanson K, Neuhausen S, Nevanlinna H, Yie J, Olah E, Olopade O, Park S, Parsons M, Peterlongo P, Piedmonte M, Radice P, Rantala J, Rennert G, Risch H, Schmutzler R, Sharma P, Simard J, Singer C, Stadler Z, Stoppa-Lyonnet D, Sutter C, Tan Y, Teixeira M, Teo S, Teulé A, Thomassen M, Thull D, Tischkowitz M, Toland A, Tung N, van Rensburg E, Vega A, Wappenschmidt B, Devilee P, van Asperen C, Bernstein J, Offit K, Easton D, Rookus M, Chenevix-Trench G, Antoniou A, Robson M, Schmidt M. The predictive ability of the 313 variant–based polygenic risk score for contralateral breast cancer risk prediction in women of European ancestry with a heterozygous BRCA1 or BRCA2 pathogenic variant. Genetics In Medicine 2021, 23: 1726-1737. PMID: 34113011, PMCID: PMC8460445, DOI: 10.1038/s41436-021-01198-7.Peer-Reviewed Original ResearchConceptsCBC riskHazard ratioFirst BCC-indexPolygenic risk scoresRisk scoreConfidence intervalsContralateral breast cancer riskBreast cancer polygenic risk scoreBRCA2 pathogenic variantsAge 40 yearsBreast cancer riskMultifactorial risk modelEuropean ancestryModifiers of BRCA1/2Breast cancer risk predictionCancer risk predictionConsortium of InvestigatorsRetrospective seriesInvasive BCPathological characteristicsFamily historyEstrogen receptorHeterozygous BRCA1Cancer risk
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 analysisPolygenic risk scores and breast and epithelial ovarian cancer risks for carriers of BRCA1 and BRCA2 pathogenic variants
Barnes DR, Rookus MA, McGuffog L, Leslie G, Mooij TM, Dennis J, Mavaddat N, Adlard J, Ahmed M, Aittomäki K, Andrieu N, Andrulis IL, Arnold N, Arun BK, Azzollini J, Balmaña J, Barkardottir RB, Barrowdale D, Benitez J, Berthet P, Białkowska K, Blanco AM, Blok MJ, Bonanni B, Boonen SE, Borg Å, Bozsik A, Bradbury AR, Brennan P, Brewer C, Brunet J, Buys SS, Caldés T, Caligo MA, Campbell I, Christensen LL, Chung WK, Claes KBM, Colas C, Collonge-Rame M, Cook J, Daly M, Davidson R, de la Hoya M, de Putter R, Delnatte C, Devilee P, Diez O, Ding Y, Domchek S, Dorfling C, Dumont M, Eeles R, Ejlertsen B, Engel C, Evans D, Faivre L, Foretova L, Fostira F, Friedlander M, Friedman E, Frost D, Ganz P, Garber J, Gehrig A, Gerdes A, Gesta P, Giraud S, Glendon G, Godwin A, Goldgar D, González-Neira A, Greene M, Gschwantler-Kaulich D, Hahnen E, Hamann U, Hanson H, Hentschel J, Hogervorst F, Hooning M, Horvath J, Hu C, Hulick P, Imyanitov E, Isaacs C, Izatt L, Izquierdo A, Jakubowska A, James P, Janavicius R, John E, Joseph V, Karlan B, Kast K, Koudijs M, Kruse T, Kwong A, Laitman Y, Lasset C, Lazaro C, Lester J, Lesueur F, Liljegren A, Loud J, Lubiński J, Mai P, Manoukian S, Mari V, Mebirouk N, Meijers-Heijboer H, Meindl A, Mensenkamp A, Miller A, Montagna M, Mouret-Fourme E, Mukherjee S, Mulligan A, Nathanson K, Neuhausen S, Nevanlinna H, Niederacher D, Nielsen F, Nikitina-Zake L, Noguès C, Olah E, Olopade O, Ong K, O’Shaughnessy-Kirwan A, Osorio A, Ott C, Papi L, Park S, Parsons M, Pedersen I, Peissel B, Peixoto A, Peterlongo P, Pfeiler G, Phillips K, Prajzendanc K, Pujana M, Radice P, Ramser J, Ramus S, Rantala J, Rennert G, Risch H, Robson M, Rønlund K, Salani R, Schuster H, Senter L, Shah P, Sharma P, Side L, Singer C, Slavin T, Soucy P, Southey M, Spurdle A, Steinemann D, Steinsnyder Z, Stoppa-Lyonnet D, Sutter C, Tan Y, Teixeira M, Teo S, Thull D, Tischkowitz M, Tognazzo S, Toland A, Trainer A, Tung N, van Engelen K, van Rensburg E, Vega A, Vierstraete J, Wagner G, Walker L, Wang-Gohrke S, Wappenschmidt B, Weitzel J, Yadav S, Yang X, Yannoukakos D, Zimbalatti D, Offit K, Thomassen M, Couch F, Schmutzler R, Simard J, Easton D, Chenevix-Trench G, Antoniou A. Polygenic risk scores and breast and epithelial ovarian cancer risks for carriers of BRCA1 and BRCA2 pathogenic variants. Genetics In Medicine 2020, 22: 1653-1666. PMID: 32665703, PMCID: PMC7521995, DOI: 10.1038/s41436-020-0862-x.Peer-Reviewed Original ResearchConceptsEpithelial ovarian cancerPathogenic variant carriersProspective cohortPolygenic risk scoresVariant carriersCancer riskRisk scoreStrong associationEOC riskHigh-grade serous epithelial ovarian cancerSerous epithelial ovarian cancerER-positive BCBRCA2 pathogenic variantsCarriers of BRCA1Absolute risk differenceEpithelial ovarian cancer riskGeneral population estimatesOvarian cancer riskHR estimatesBRCA2 pathogenic variant carriersBRCA1 carriersBRCA1/2 carriersOvarian cancerBC riskEstrogen receptorAssessment of polygenic architecture and risk prediction based on common variants across fourteen cancers
Zhang YD, Hurson AN, Zhang H, Choudhury PP, Easton DF, Milne RL, Simard J, Hall P, Michailidou K, Dennis J, Schmidt MK, Chang-Claude J, Gharahkhani P, Whiteman D, Campbell PT, Hoffmeister M, Jenkins M, Peters U, Hsu L, Gruber SB, Casey G, Schmit SL, O’Mara T, Spurdle AB, Thompson DJ, Tomlinson I, De Vivo I, Landi MT, Law MH, Iles MM, Demenais F, Kumar R, MacGregor S, Bishop DT, Ward SV, Bondy ML, Houlston R, Wiencke JK, Melin B, Barnholtz-Sloan J, Kinnersley B, Wrensch MR, Amos CI, Hung RJ, Brennan P, McKay J, Caporaso NE, Berndt SI, Birmann BM, Camp NJ, Kraft P, Rothman N, Slager SL, Berchuck A, Pharoah PDP, Sellers TA, Gayther SA, Pearce CL, Goode EL, Schildkraut JM, Moysich KB, Amundadottir LT, Jacobs EJ, Klein AP, Petersen GM, Risch HA, Stolzenberg-Solomon RZ, Wolpin BM, Li D, Eeles RA, Haiman CA, Kote-Jarai Z, Schumacher FR, Al Olama AA, Purdue MP, Scelo G, Dalgaard MD, Greene MH, Grotmol T, Kanetsky PA, McGlynn KA, Nathanson KL, Turnbull C, Wiklund F, Chanock S, Chatterjee N, Garcia-Closas M. Assessment of polygenic architecture and risk prediction based on common variants across fourteen cancers. Nature Communications 2020, 11: 3353. PMID: 32620889, PMCID: PMC7335068, DOI: 10.1038/s41467-020-16483-3.Peer-Reviewed Original ResearchAssociation Between Breastfeeding and Ovarian Cancer Risk
Babic A, Sasamoto N, Rosner BA, Tworoger SS, Jordan SJ, Risch HA, Harris HR, Rossing MA, Doherty JA, Fortner RT, Chang-Claude J, Goodman MT, Thompson PJ, Moysich KB, Ness RB, Kjaer SK, Jensen A, Schildkraut JM, Titus LJ, Cramer DW, Bandera EV, Qin B, Sieh W, McGuire V, Sutphen R, Pearce CL, Wu AH, Pike M, Webb PM, Modugno F, Terry KL. Association Between Breastfeeding and Ovarian Cancer Risk. JAMA Oncology 2020, 6: e200421. PMID: 32239218, PMCID: PMC7118668, DOI: 10.1001/jamaoncol.2020.0421.Peer-Reviewed Original ResearchConceptsOvarian cancer riskInvasive ovarian cancerEpithelial ovarian cancerOvarian cancerCancer riskLower riskOdds ratioLogistic regressionHigh-grade serous subtypeHistotype-specific associationsMultivariable logistic regressionCase-control studyOvarian Cancer Association ConsortiumPolytomous logistic regressionParous womenEndometrioid cancerModifiable factorsPooled analysisSerous subtypeMAIN OUTCOMEBreastfeedingMore monthsOverall associationLethal typeCancerEarly Outpatient Treatment of Symptomatic, High-Risk COVID-19 Patients That Should Be Ramped Up Immediately as Key to the Pandemic Crisis
Risch HA. Early Outpatient Treatment of Symptomatic, High-Risk COVID-19 Patients That Should Be Ramped Up Immediately as Key to the Pandemic Crisis. American Journal Of Epidemiology 2020, 189: 1218-1226. PMID: 32458969, PMCID: PMC7546206, DOI: 10.1093/aje/kwaa093.Peer-Reviewed Original ResearchConceptsOutpatient treatmentHigh-risk COVID-19 patientsSevere acute respiratory syndrome coronavirus 2Acute respiratory syndrome coronavirus 2Respiratory syndrome coronavirus 2High-risk patientsUse of hydroxychloroquineMultiple comorbid conditionsCOVID-19 patientsEfficacy of hydroxychloroquineEarly outpatient treatmentStandard of careSyndrome coronavirus 2Mild effectivenessOutpatient diseasesOutpatient illnessOutpatient trialSuch patientsSymptomatic diseaseComorbid conditionsCoronavirus 2Hospitalized inpatientsClinical trialsCandidate medicationsHydroxychloroquineGenome-wide association study identifies 32 novel breast cancer susceptibility loci from overall and subtype-specific analyses
Zhang H, Ahearn TU, Lecarpentier J, Barnes D, Beesley J, Qi G, Jiang X, O’Mara T, Zhao N, Bolla MK, Dunning AM, Dennis J, Wang Q, Ful ZA, Aittomäki K, Andrulis IL, Anton-Culver H, Arndt V, Aronson KJ, Arun BK, Auer PL, Azzollini J, Barrowdale D, Becher H, Beckmann MW, Behrens S, Benitez J, Bermisheva M, Bialkowska K, Blanco A, Blomqvist C, Bogdanova NV, Bojesen SE, Bonanni B, Bondavalli D, Borg A, Brauch H, Brenner H, Briceno I, Broeks A, Brucker SY, Brüning T, Burwinkel B, Buys SS, Byers H, Caldés T, Caligo MA, Calvello M, Campa D, Castelao JE, Chang-Claude J, Chanock SJ, Christiaens M, Christiansen H, Chung WK, Claes KBM, Clarke CL, Cornelissen S, Couch FJ, Cox A, Cross SS, Czene K, Daly MB, Devilee P, Diez O, Domchek SM, Dörk T, Dwek M, Eccles DM, Ekici AB, Evans DG, Fasching PA, Figueroa J, Foretova L, Fostira F, Friedman E, Frost D, Gago-Dominguez M, Gapstur SM, Garber J, García-Sáenz JA, Gaudet MM, Gayther SA, Giles GG, Godwin AK, Goldberg MS, Goldgar DE, González-Neira A, Greene MH, Gronwald J, Guénel P, Häberle L, Hahnen E, Haiman CA, Hake CR, Hall P, Hamann U, Harkness EF, Heemskerk-Gerritsen BAM, Hillemanns P, Hogervorst FBL, Holleczek B, Hollestelle A, Hooning MJ, Hoover RN, Hopper JL, Howell A, Huebner H, Hulick PJ, Imyanitov EN, Isaacs C, Izatt L, Jager A, Jakimovska M, Jakubowska A, James P, Janavicius R, Janni W, John E, Jones M, Jung A, Kaaks R, Kapoor P, Karlan B, Keeman R, Khan S, Khusnutdinova E, Kitahara C, Ko Y, Konstantopoulou I, Koppert L, Koutros S, Kristensen V, Laenkholm A, Lambrechts D, Larsson S, Laurent-Puig P, Lazaro C, Lazarova E, Lejbkowicz F, Leslie G, Lesueur F, Lindblom A, Lissowska J, Lo W, Loud J, Lubinski J, Lukomska A, MacInnis R, Mannermaa A, Manoochehri M, Manoukian S, Margolin S, Martinez M, Matricardi L, McGuffog L, McLean C, Mebirouk N, Meindl A, Menon U, Miller A, Mingazheva E, Montagna M, Mulligan A, Mulot C, Muranen T, Nathanson K, Neuhausen S, Nevanlinna H, Neven P, Newman W, Nielsen F, Nikitina-Zake L, Nodora J, Offit K, Olah E, Olopade O, Olsson H, Orr N, Papi L, Papp J, Park-Simon T, Parsons M, Peissel B, Peixoto A, Peshkin B, Peterlongo P, Peto J, Phillips K, Piedmonte M, Plaseska-Karanfilska D, Prajzendanc K, Prentice R, Prokofyeva D, Rack B, Radice P, Ramus S, Rantala J, Rashid M, Rennert G, Rennert H, Risch H, Romero A, Rookus M, Rübner M, Rüdiger T, Saloustros E, Sampson S, Sandler D, Sawyer E, Scheuner M, Schmutzler R, Schneeweiss A, Schoemaker M, Schöttker B, Schürmann P, Senter L, Sharma P, Sherman M, Shu X, Singer C, Smichkoska S, Soucy P, Southey M, Spinelli J, Stone J, Stoppa-Lyonnet D, Swerdlow A, Szabo C, Tamimi R, Tapper W, Taylor J, Teixeira M, Terry M, Thomassen M, Thull D, Tischkowitz M, Toland A, Tollenaar R, Tomlinson I, Torres D, Troester M, Truong T, Tung N, Untch M, Vachon C, van den Ouweland A, van der Kolk L, van Veen E, vanRensburg E, Vega A, Wappenschmidt B, Weinberg C, Weitzel J, Wildiers H, Winqvist R, Wolk A, Yang X, Yannoukakos D, Zheng W, Zorn K, Milne R, Kraft P, Simard J, Pharoah P, Michailidou K, Antoniou A, Schmidt M, Chenevix-Trench G, Easton D, Chatterjee N, García-Closas M. Genome-wide association study identifies 32 novel breast cancer susceptibility loci from overall and subtype-specific analyses. Nature Genetics 2020, 52: 572-581. PMID: 32424353, PMCID: PMC7808397, DOI: 10.1038/s41588-020-0609-2.Peer-Reviewed Original ResearchConceptsSusceptibility lociAssociation studiesGenome-wide association studiesCell-specific enhancerWide association studyNovel breast cancer susceptibility lociNovel susceptibility lociBasal mammary cellsBreast cancer susceptibility lociCancer susceptibility lociTriple-negative diseaseCancer susceptibility variantsChip heritabilityNovel lociPolygenic risk scoresSilico analysisLociSusceptibility variantsGenetic correlationsRisk scoreMammary cellsHuman epidermal growth factor receptor 2 (HER2) statusEpidermal growth factor receptor 2 statusBreast cancer susceptibility variantsEuropean ancestryEstimation of the carrier frequency of fumarate hydratase alterations and implications for kidney cancer risk in hereditary leiomyomatosis and renal cancer
Shuch B, Li S, Risch H, Bindra RS, McGillivray PD, Gerstein M. Estimation of the carrier frequency of fumarate hydratase alterations and implications for kidney cancer risk in hereditary leiomyomatosis and renal cancer. Cancer 2020, 126: 3657-3666. PMID: 32413184, PMCID: PMC10316675, DOI: 10.1002/cncr.32914.Peer-Reviewed Original ResearchConceptsFumarate hydrataseExome Aggregation ConsortiumAllele frequenciesFH geneGenome ProjectDifferent world populationsFH alterationsHereditary leiomyomatosisKidney cancer riskCancer penetranceMissense alterationsGenesOverall allele frequencyRare variantsLow penetranceRenal cancerExACKidney cancerCancer riskPenetranceGermline mutationsLethal formWorld populationCancer syndromesAlterationsTranscriptome‐wide association study of breast cancer risk by estrogen‐receptor status
Feng H, Gusev A, Pasaniuc B, Wu L, Long J, Abu‐full Z, Aittomäki K, Andrulis IL, Anton‐Culver H, Antoniou AC, Arason A, Arndt V, Aronson KJ, Arun BK, Asseryanis E, Auer PL, Azzollini J, Balmaña J, Barkardottir RB, Barnes DR, Barrowdale D, Beckmann MW, Behrens S, Benitez J, Bermisheva M, Białkowska K, Blanco A, Blomqvist C, Boeckx B, Bogdanova NV, Bojesen SE, Bolla MK, Bonanni B, Borg A, Brauch H, Brenner H, Briceno I, Broeks A, Brüning T, Burwinkel B, Cai Q, Caldés T, Caligo MA, Campbell I, Canisius S, Campa D, Carter BD, Carter J, Castelao JE, Chang‐Claude J, Chanock SJ, Christiansen H, Chung WK, Claes KBM, Clarke CL, Collaborators G, Collaborators E, Collaborators G, Couch FJ, Cox A, Cross SS, Cybulski C, Czene K, Daly MB, de la Hoya M, De Leeneer K, Dennis J, Devilee P, Diez O, Domchek SM, Dörk T, dos‐Santos‐Silva I, Dunning AM, Dwek M, Eccles DM, Ejlertsen B, Ellberg C, Engel C, Eriksson M, Fasching PA, Fletcher O, Flyger H, Fostira F, Friedman E, Fritschi L, Frost D, Gabrielson M, Ganz PA, Gapstur SM, Garber J, García‐Closas M, García‐Sáenz J, Gaudet MM, Giles GG, Glendon G, Godwin AK, Goldberg MS, Goldgar DE, González‐Neira A, Greene MH, Gronwald J, Guénel P, Haiman CA, Hall P, Hamann U, Hake C, He W, Heyworth J, Hogervorst FBL, Hollestelle A, Hooning MJ, Hoover RN, Hopper JL, Huang G, Hulick PJ, Humphreys K, Imyanitov EN, Investigators A, Investigators H, Investigators B, Investigators O, Isaacs C, Jakimovska M, Jakubowska A, James P, Janavicius R, Jankowitz RC, John EM, Johnson N, Joseph V, Jung A, Karlan BY, Khusnutdinova E, Kiiski JI, Konstantopoulou I, Kristensen VN, Laitman Y, Lambrechts D, Lazaro C, Leroux D, Leslie G, Lester J, Lesueur F, Lindor N, Lindström S, Lo W, Loud JT, Lubiński J, Makalic E, Mannermaa A, Manoochehri M, Manoukian S, Margolin S, Martens JWM, Martinez ME, Matricardi L, Maurer T, Mavroudis D, McGuffog L, Meindl A, Menon U, Michailidou K, Kapoor PM, Miller A, Montagna M, Moreno F, Moserle L, Mulligan AM, Muranen TA, Nathanson KL, Neuhausen SL, Nevanlinna H, Nevelsteen I, Nielsen FC, Nikitina‐Zake L, Offit K, Olah E, Olopade OI, Olsson H, Osorio A, Papp J, Park‐Simon T, Parsons MT, Pedersen IS, Peixoto A, Peterlongo P, Peto J, Pharoah PDP, Phillips K, Plaseska‐Karanfilska D, Poppe B, Pradhan N, Prajzendanc K, Presneau N, Punie K, Pylkäs K, Radice P, Rantala J, Rashid MU, Rennert G, Risch HA, Robson M, Romero A, Saloustros E, Sandler DP, Santos C, Sawyer EJ, Schmidt MK, Schmidt DF, Schmutzler RK, Schoemaker MJ, Scott RJ, Sharma P, Shu X, Simard J, Singer CF, Skytte A, Soucy P, Southey MC, Spinelli JJ, Spurdle AB, Stone J, Swerdlow AJ, Tapper WJ, Taylor JA, Teixeira MR, Terry MB, Teulé A, Thomassen M, Thöne K, Thull DL, Tischkowitz M, Toland AE, Tollenaar RAEM, Torres D, Truong T, Tung N, Vachon CM, van Asperen C, van den Ouweland A, van Rensburg E, Vega A, Viel A, Vieiro‐Balo P, Wang Q, Wappenschmidt B, Weinberg CR, Weitzel JN, Wendt C, Winqvist R, Yang XR, Yannoukakos D, Ziogas A, Milne RL, Easton DF, Chenevix‐Trench G, Zheng W, Kraft P, Jiang X. Transcriptome‐wide association study of breast cancer risk by estrogen‐receptor status. Genetic Epidemiology 2020, 44: 442-468. PMID: 32115800, PMCID: PMC7987299, DOI: 10.1002/gepi.22288.Peer-Reviewed Original ResearchConceptsTranscriptome-wide association studyAssociation studiesWide association studyExpression quantitative lociGene expression dataTWAS approachConditional analysisBreast cancer risk genesQuantitative lociGenomic differencesLarge GWASExpression dataCancer risk genesGenesRisk genesBreast cancer genesCancer geneticsEstrogen receptor subtypesGWASOverall breast cancer riskER subtypesGTExSTXBP4Breast cancer geneticsLociRisk factors for hepatocellular carcinoma (HCC) in the northeast of the United States: results of a case–control study
Shen Y, Risch H, Lu L, Ma X, Irwin ML, Lim JK, Taddei T, Pawlish K, Stroup A, Brown R, Wang Z, Jia W, Wong L, Mayne ST, Yu H. Risk factors for hepatocellular carcinoma (HCC) in the northeast of the United States: results of a case–control study. Cancer Causes & Control 2020, 31: 321-332. PMID: 32060838, PMCID: PMC7136513, DOI: 10.1007/s10552-020-01277-1.Peer-Reviewed Original ResearchConceptsRisk of HCCCase-control studyHepatocellular carcinomaRisk factorsHCV infectionHCC riskOdds ratioHepatitis C virus antibodyUnconditional logistic regression modelsElevated HCC riskRapid case ascertainmentC virus antibodyHeavy alcohol intakeConfidence intervalsFamily cancer historyImportant risk factorRandom digit dialingLow socioeconomic statusUnhealthy lifestyle choicesLower household incomeLogistic regression modelsNSAID useAlcohol intakeCigarette smokingHigher BMISelf-harm behaviors, suicidal ideation, and associated factors among rural left-behind children in west China
Xiao Y, He L, Chang W, Zhang S, Wang R, Chen X, Li X, Wang Z, Risch HA. Self-harm behaviors, suicidal ideation, and associated factors among rural left-behind children in west China. Annals Of Epidemiology 2020, 42: 42-49. PMID: 31992492, DOI: 10.1016/j.annepidem.2019.12.014.Peer-Reviewed Original ResearchFine-mapping of 150 breast cancer risk regions identifies 191 likely target genes
Fachal L, Aschard H, Beesley J, Barnes DR, Allen J, Kar S, Pooley KA, Dennis J, Michailidou K, Turman C, Soucy P, Lemaçon A, Lush M, Tyrer JP, Ghoussaini M, Moradi Marjaneh M, Jiang X, Agata S, Aittomäki K, Alonso MR, Andrulis IL, Anton-Culver H, Antonenkova NN, Arason A, Arndt V, Aronson KJ, Arun BK, Auber B, Auer PL, Azzollini J, Balmaña J, Barkardottir RB, Barrowdale D, Beeghly-Fadiel A, Benitez J, Bermisheva M, Białkowska K, Blanco AM, Blomqvist C, Blot W, Bogdanova NV, Bojesen SE, Bolla MK, Bonanni B, Borg A, Bosse K, Brauch H, Brenner H, Briceno I, Brock IW, Brooks-Wilson A, Brüning T, Burwinkel B, Buys SS, Cai Q, Caldés T, Caligo MA, Camp NJ, Campbell I, Canzian F, Carroll JS, Carter BD, Castelao JE, Chiquette J, Christiansen H, Chung WK, Claes KBM, Clarke CL, Collée J, Cornelissen S, Couch F, Cox A, Cross S, Cybulski C, Czene K, Daly M, de la Hoya M, Devilee P, Diez O, Ding Y, Dite G, Domchek S, Dörk T, dos-Santos-Silva I, Droit A, Dubois S, Dumont M, Duran M, Durcan L, Dwek M, Eccles D, Engel C, Eriksson M, Evans D, Fasching P, Fletcher O, Floris G, Flyger H, Foretova L, Foulkes W, Friedman E, Fritschi L, Frost D, Gabrielson M, Gago-Dominguez M, Gambino G, Ganz P, Gapstur S, Garber J, García-Sáenz J, Gaudet M, Georgoulias V, Giles G, Glendon G, Godwin A, Goldberg M, Goldgar D, González-Neira A, Tibiletti M, Greene M, Grip M, Gronwald J, Grundy A, Guénel P, Hahnen E, Haiman C, Håkansson N, Hall P, Hamann U, Harrington P, Hartikainen J, Hartman M, He W, Healey C, Heemskerk-Gerritsen B, Heyworth J, Hillemanns P, Hogervorst F, Hollestelle A, Hooning M, Hopper J, Howell A, Huang G, Hulick P, Imyanitov E, Isaacs C, Iwasaki M, Jager A, Jakimovska M, Jakubowska A, James P, Janavicius R, Jankowitz R, John E, Johnson N, Jones M, Jukkola-Vuorinen A, Jung A, Kaaks R, Kang D, Kapoor P, Karlan B, Keeman R, Kerin M, Khusnutdinova E, Kiiski J, Kirk J, Kitahara C, Ko Y, Konstantopoulou I, Kosma V, Koutros S, Kubelka-Sabit K, Kwong A, Kyriacou K, Laitman Y, Lambrechts D, Lee E, Leslie G, Lester J, Lesueur F, Lindblom A, Lo W, Long J, Lophatananon A, Loud J, Lubiński J, MacInnis R, Maishman T, Makalic E, Mannermaa A, Manoochehri M, Manoukian S, Margolin S, Martinez M, Matsuo K, Maurer T, Mavroudis D, Mayes R, McGuffog L, McLean C, Mebirouk N, Meindl A, Miller A, Miller N, Montagna M, Moreno F, Muir K, Mulligan A, Muñoz-Garzon V, Muranen T, Narod S, Nassir R, Nathanson K, Neuhausen S, Nevanlinna H, Neven P, Nielsen F, Nikitina-Zake L, Norman A, Offit K, Olah E, Olopade O, Olsson H, Orr N, Osorio A, Pankratz V, Papp J, Park S, Park-Simon T, Parsons M, Paul J, Pedersen I, Peissel B, Peshkin B, Peterlongo P, Peto J, Plaseska-Karanfilska D, Prajzendanc K, Prentice R, Presneau N, Prokofyeva D, Pujana M, Pylkäs K, Radice P, Ramus S, Rantala J, Rau-Murthy R, Rennert G, Risch H, Robson M, Romero A, Rossing M, Saloustros E, Sánchez-Herrero E, Sandler D, Santamariña M, Saunders C, Sawyer E, Scheuner M, Schmidt D, Schmutzler R, Schneeweiss A, Schoemaker M, Schöttker B, Schürmann P, Scott C, Scott R, Senter L, Seynaeve C, Shah M, Sharma P, Shen C, Shu X, Singer C, Slavin T, Smichkoska S, Southey M, Spinelli J, Spurdle A, Stone J, Stoppa-Lyonnet D, Sutter C, Swerdlow A, Tamimi R, Tan Y, Tapper W, Taylor J, Teixeira M, Tengström M, Teo S, Terry M, Teulé A, Thomassen M, Thull D, Tischkowitz M, Toland A, Tollenaar R, Tomlinson I, Torres D, Torres-Mejía G, Troester M, Truong T, Tung N, Tzardi M, Ulmer H, Vachon C, van Asperen C, van der Kolk L, van Rensburg E, Vega A, Viel A, Vijai J, Vogel M, Wang Q, Wappenschmidt B, Weinberg C, Weitzel J, Wendt C, Wildiers H, Winqvist R, Wolk A, Wu A, Yannoukakos D, Zhang Y, Zheng W, Hunter D, Pharoah P, Chang-Claude J, García-Closas M, Schmidt M, Milne R, Kristensen V, French J, Edwards S, Antoniou A, Chenevix-Trench G, Simard J, Easton D, Kraft P, Dunning A. Fine-mapping of 150 breast cancer risk regions identifies 191 likely target genes. Nature Genetics 2020, 52: 56-73. PMID: 31911677, PMCID: PMC6974400, DOI: 10.1038/s41588-019-0537-1.Peer-Reviewed Original ResearchConceptsCausal variantsTranscription factorsTarget genesActive gene regulatory regionsHigh-confidence target genesGenomic feature annotationsGenome-wide association studiesBreast cancer risk variantsGene regulatory regionsCredible causal variantsGene ontology pathwaysChromatin interactionsFunctional annotationGenomic regionsOntology pathwaysRegulatory regionsGenomic featuresCancer driversGene expressionAssociation studiesAssociation analysisGenesLinkage disequilibriumRisk variantsHigh posterior probability
2019
Association Between Levels of Sex Hormones and Risk of Esophageal Adenocarcinoma and Barrett’s Esophagus
Xie SH, Fang R, Huang M, Dai J, Thrift AP, Anderson LA, Chow WH, Bernstein L, Gammon MD, Risch HA, Shaheen NJ, Reid BJ, Wu AH, Iyer PG, Liu G, Corley DA, Whiteman DC, Caldas C, Pharoah PD, Hardie LJ, Fitzgerald RC, Shen H, Vaughan TL, Lagergren J. Association Between Levels of Sex Hormones and Risk of Esophageal Adenocarcinoma and Barrett’s Esophagus. Clinical Gastroenterology And Hepatology 2019, 18: 2701-2709.e3. PMID: 31756444, PMCID: PMC7580878, DOI: 10.1016/j.cgh.2019.11.030.Peer-Reviewed Original ResearchConceptsRisk of BERisk of EACBarrett's esophagusMendelian randomization analysisSex hormonesOdds ratioRandomization analysisSex hormone-binding globulinSpecific sex hormonesFree androgen indexFollicle-stimulating hormoneHormone-binding globulinGenetic risk scoreAndrogen indexDecreased riskEsophageal adenocarcinomaRisk scoreEsophagusAbstractTextLogistic regressionHormoneClear associationControl participantsGenetic factorsWomen