2023
Genome-wide analyses characterize shared heritability among cancers and identify novel cancer susceptibility regions
Lindström S, Wang L, Feng H, Majumdar A, Huo S, Macdonald J, Harrison T, Turman C, Chen H, Mancuso N, Bammler T, Consortium B, Gallinger S, Gruber S, Gunter M, Le Marchand L, Moreno V, Offit K, Study G, De Vivo I, O’Mara T, Spurdle A, Tomlinson I, Consortium E, Fitzgerald R, Gharahkhani P, Gockel I, Jankowski J, Macgregor S, Schumacher J, Barnholtz-Sloan J, Bondy M, Houlston R, Jenkins R, Melin B, Wrensch M, Brennan P, Christiani D, Johansson M, Mckay J, Aldrich M, Amos C, Landi M, Tardon A, Consortium I, Bishop D, Demenais F, Goldstein A, Iles M, Kanetsky P, Law M, Consortium O, Amundadottir L, Stolzenberg-Solomon R, Wolpin B, Consortium P, Klein A, Petersen G, Risch H, Consortium T, Chanock S, Purdue M, Scelo G, Pharoah P, Kar S, Hung R, Pasaniuc B, Kraft P. Genome-wide analyses characterize shared heritability among cancers and identify novel cancer susceptibility regions. Journal Of The National Cancer Institute 2023, 115: 712-732. PMID: 36929942, PMCID: PMC10248849, DOI: 10.1093/jnci/djad043.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesTranscriptome-wide association studyCancer susceptibility lociGenome-wide genetic correlationSusceptibility lociAssociation studiesMultiple cancer typesCancer genome-wide association studyGenome-wide analysisCross-disease analysisGenetic correlationsSusceptibility regionsGWAS summary statisticsCancer typesGenetic risk variantsDistinct lociCancer heritabilityLociRisk variantsGenetic contributionEuropean ancestryPleiotropyAdditional regionsDifferent cancersHeritabilityRisk 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 cohort
2022
The age-dependent association of risk factors with pancreatic cancer
Yuan C, Kim J, Wang QL, Lee AA, Babic A, Consortium P, Amundadottir LT, Ardanaz E, Arslan A, Beane-Freeman L, Bracci P, Bueno-de-Mesquita B, Du M, Gallinger S, Giles G, Goodman P, Katzke V, Klein A, Kooperberg C, Kraft P, Li D, Malats N, Marchand L, McCullough M, Milne R, Neoptolemos J, Perdomo S, Petersen G, Risch H, Shu X, Stolzenberg-Solomon R, Van Den Eeden S, Visvanathan K, White E, Wolpin B, Zheng W, Amundadottir L, Klein A, Li D, McCullough M, Petersen G, Risch H, Stolzenberg-Solomon R, Perez K, Ng K, Giovannucci E, Stampfer M, Kraft P, Wolpin B. The age-dependent association of risk factors with pancreatic cancer. Annals Of Oncology 2022, 33: 693-701. PMID: 35398288, PMCID: PMC9233063, DOI: 10.1016/j.annonc.2022.03.276.Peer-Reviewed Original ResearchConceptsPancreatic cancer casesRisk factorsPancreatic cancerProspective cohortMale sexBlack raceSEER programCancer casesPolygenic risk scoresRisk scoreProspective US cohort studyNon-modifiable risk factorsNon-O blood groupIncident pancreatic cancerUS cohort studyEnd Results ProgramPancreatic cancer riskAge-specific associationsEarly detection strategiesAge-dependent associationGenome-wide association studiesAdvanced diseaseCancer presentsCohort studyUS SurveillancePolygenic 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
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 analysisAssessment 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 ResearchEarly 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 medicationsHydroxychloroquineEstimation 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 syndromesAlterationsRisk 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 Research
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 factorsWomenSerum gamma-glutamyltransferase and the overall survival of metastatic pancreatic cancer
Xiao Y, Yang H, Lu J, Li D, Xu C, Risch HA. Serum gamma-glutamyltransferase and the overall survival of metastatic pancreatic cancer. BMC Cancer 2019, 19: 1020. PMID: 31664937, PMCID: PMC6819453, DOI: 10.1186/s12885-019-6250-8.Peer-Reviewed Original ResearchConceptsPancreatic ductal adenocarcinomaMetastatic pancreatic ductal adenocarcinomaOverall survivalSerum GGTSignificant dose-response associationCox proportional hazards modelMetastatic PDAC patientsDose-response associationMetastatic pancreatic cancerPancreatic cancer survivalSpecialized cancer hospitalBlood glucose levelsProportional hazards modelHazard ratioPrognostic roleCancer HospitalPDAC patientsCancer survivalSubgroup analysisPancreatic cancerDuctal adenocarcinomaMetastatic PCCancer occurrenceGlucose levelsMortality riskFactors associated with psychological resilience in left-behind children in southwest China
Xiao Y, Wang Y, Chang W, Chen Y, Yu Z, Risch HA. Factors associated with psychological resilience in left-behind children in southwest China. Asian Journal Of Psychiatry 2019, 46: 1-5. PMID: 31568979, DOI: 10.1016/j.ajp.2019.09.014.Peer-Reviewed Original ResearchConceptsPsychological resilienceInterpersonal assistanceClose friendsHigher psychological resilienceFamily supportDimensions of resilienceHigh mother's education levelEmotion regulationChinese adolescentsResilience ScaleGreater resilienceRandom cluster samplingResilienceHigh resilienceEducation levelFriendsMother's education levelFace interviewsGoal concentrationChildrenRelevant informationCross-sectional surveyPeopleAdolescentsSupportAnalysis of Heritability and Genetic Architecture of Pancreatic Cancer: A PanC4 Study
Chen F, Childs EJ, Mocci E, Bracci P, Gallinger S, Li D, Neale RE, Olson SH, Scelo G, Bamlet WR, Blackford AL, Borges M, Brennan P, Chaffee KG, Duggal P, Hassan MJ, Holly EA, Hung RJ, Goggins MG, Kurtz RC, Oberg AL, Orlow I, Yu H, Petersen GM, Risch H, Klein AP. Analysis of Heritability and Genetic Architecture of Pancreatic Cancer: A PanC4 Study. Cancer Epidemiology Biomarkers & Prevention 2019, 28: 1238-1245. PMID: 31015203, PMCID: PMC6606380, DOI: 10.1158/1055-9965.epi-18-1235.Peer-Reviewed Original ResearchConceptsGWAS dataOverall heritabilityGenome-wide association study dataTotal phenotypic variationAssociation study dataPancreatic cancer susceptibility genesTotal phenotypic varianceAnalysis of heritabilityGWAS lociGenetic architectureFunctional annotationCancer susceptibility genesPhenotypic variationLoci accountPhenotypic varianceLinkage disequilibriumSusceptibility genesHeritabilityCommon variantsIntronic variantsEuropean ancestryGenesRare variantsDo changes in health reveal the possibility of undiagnosed pancreatic cancer? Development of a risk-prediction model based on healthcare claims data
Baecker A, Kim S, Risch HA, Nuckols TK, Wu BU, Hendifar AE, Pandol SJ, Pisegna JR, Jeon CY. Do changes in health reveal the possibility of undiagnosed pancreatic cancer? Development of a risk-prediction model based on healthcare claims data. PLOS ONE 2019, 14: e0218580. PMID: 31237889, PMCID: PMC6592596, DOI: 10.1371/journal.pone.0218580.Peer-Reviewed Original ResearchConceptsPancreatic ductal adenocarcinomaPancreatic cancerRisk factorsPDAC diagnosisNew-onset diabetes patientsEnd Results (SEER) tumorMonths of claimsUndiagnosed pancreatic cancerClinical risk factorsMultivariable logistic regressionDiagnosis of PDACSex-matched controlsCase-control studyRisk prediction modelHealthcare claims dataSurveillance EpidemiologyResults TumorsDiabetes patientsDuctal adenocarcinomaClaims dataHealthcare claimsEarly detection methodsLogistic regressionCancerDiagnosisNo Association Between Vitamin D Status and Risk of Barrett's Esophagus or Esophageal Adenocarcinoma: A Mendelian Randomization Study
Dong J, Gharahkhani P, Chow WH, Gammon MD, Liu G, Caldas C, Wu AH, Ye W, Onstad L, Anderson LA, Bernstein L, Pharoah PD, Risch HA, Corley DA, Fitzgerald RC, Consortium S, Iyer PG, Reid BJ, Lagergren J, Shaheen NJ, Vaughan TL, MacGregor S, Love S, Palles C, Tomlinson I, Gockel I, May A, Gerges C, Anders M, Böhmer AC, Becker J, Kreuser N, Thieme R, Noder T, Venerito M, Veits L, Schmidt T, Schmidt C, Izbicki JR, Hölscher AH, Lang H, Lorenz D, Schumacher B, Mayershofer R, Vashist Y, Ott K, Vieth M, Weismüller J, Nöthen MM, Moebus S, Knapp M, Peters WHM, Neuhaus H, Rösch T, Ell C, Jankowski J, Schumacher J, Neale RE, Whiteman DC, Thrift AP. No Association Between Vitamin D Status and Risk of Barrett's Esophagus or Esophageal Adenocarcinoma: A Mendelian Randomization Study. Clinical Gastroenterology And Hepatology 2019, 17: 2227-2235.e1. PMID: 30716477, PMCID: PMC6675666, DOI: 10.1016/j.cgh.2019.01.041.Peer-Reviewed Original ResearchConceptsRisk of BEMendelian randomization studyBarrett's esophagusEsophageal adenocarcinomaInverse variance weightingRandomization studyRisk of EACHydroxy vitamin DVitamin D statusVariance weightingEsophageal Adenocarcinoma ConsortiumD statusEAC riskVitamin DOdds ratioBE riskEsophagusAbstractTextL increaseSingle nucleotide polymorphismsConflicting resultsAdenocarcinomaPatientsSNP associationsRiskShared heritability and functional enrichment across six solid cancers
Jiang X, Finucane HK, Schumacher FR, Schmit SL, Tyrer JP, Han Y, Michailidou K, Lesseur C, Kuchenbaecker KB, Dennis J, Conti DV, Casey G, Gaudet MM, Huyghe JR, Albanes D, Aldrich MC, Andrew AS, Andrulis IL, Anton-Culver H, Antoniou AC, Antonenkova NN, Arnold SM, Aronson KJ, Arun BK, Bandera EV, Barkardottir RB, Barnes DR, Batra J, Beckmann MW, Benitez J, Benlloch S, Berchuck A, Berndt SI, Bickeböller H, Bien SA, Blomqvist C, Boccia S, Bogdanova NV, Bojesen SE, Bolla MK, Brauch H, Brenner H, Brenton JD, Brook MN, Brunet J, Brunnström H, Buchanan DD, Burwinkel B, Butzow R, Cadoni G, Caldés T, Caligo MA, Campbell I, Campbell PT, Cancel-Tassin G, Cannon-Albright L, Campa D, Caporaso N, Carvalho AL, Chan AT, Chang-Claude J, Chanock SJ, Chen C, Christiani DC, Claes KBM, Claessens F, Clements J, Collée JM, Correa MC, Couch FJ, Cox A, Cunningham JM, Cybulski C, Czene K, Daly MB, deFazio A, Devilee P, Diez O, Gago-Dominguez M, Donovan JL, Dörk T, Duell EJ, Dunning AM, Dwek M, Eccles DM, Edlund CK, Edwards DRV, Ellberg C, Evans DG, Fasching PA, Ferris RL, Liloglou T, Figueiredo JC, Fletcher O, Fortner RT, Fostira F, Franceschi S, Friedman E, Gallinger SJ, Ganz PA, Garber J, García-Sáenz JA, Gayther SA, Giles GG, Godwin AK, Goldberg MS, Goldgar DE, Goode EL, Goodman MT, Goodman G, Grankvist K, Greene MH, Gronberg H, Gronwald J, Guénel P, Håkansson N, Hall P, Hamann U, Hamdy FC, Hamilton RJ, Hampe J, Haugen A, Heitz F, Herrero R, Hillemanns P, Hoffmeister M, Høgdall E, Hong YC, Hopper JL, Houlston R, Hulick PJ, Hunter DJ, Huntsman DG, Idos G, Imyanitov EN, Ingles SA, Isaacs C, Jakubowska A, James P, Jenkins MA, Johansson M, Johansson M, John EM, Joshi AD, Kaneva R, Karlan BY, Kelemen LE, Kühl T, Khaw KT, Khusnutdinova E, Kibel AS, Kiemeney LA, Kim J, Kjaer SK, Knight JA, Kogevinas M, Kote-Jarai Z, Koutros S, Kristensen VN, Kupryjanczyk J, Lacko M, Lam S, Lambrechts D, Landi MT, Lazarus P, Le ND, Lee E, Lejbkowicz F, Lenz HJ, Leslie G, Lessel D, Lester J, Levine DA, Li L, Li CI, Lindblom A, Lindor NM, Liu G, Loupakis F, Lubiński J, Maehle L, Maier C, Mannermaa A, Marchand LL, Margolin S, May T, McGuffog L, Meindl A, Middha P, Miller A, Milne RL, MacInnis RJ, Modugno F, Montagna M, Moreno V, Moysich KB, Mucci L, Muir K, Mulligan AM, Nathanson KL, Neal DE, Ness AR, Neuhausen SL, Nevanlinna H, Newcomb PA, Newcomb LF, Nielsen FC, Nikitina-Zake L, Nordestgaard BG, Nussbaum RL, Offit K, Olah E, Olama AAA, Olopade OI, Olshan AF, Olsson H, Osorio A, Pandha H, Park JY, Pashayan N, Parsons MT, Pejovic T, Penney KL, Peters WHM, Phelan CM, Phipps AI, Plaseska-Karanfilska D, Pring M, Prokofyeva D, Radice P, Stefansson K, Ramus SJ, Raskin L, Rennert G, Rennert HS, van Rensburg EJ, Riggan MJ, Risch HA, Risch A, Roobol MJ, Rosenstein BS, Rossing MA, De Ruyck K, Saloustros E, Sandler DP, Sawyer EJ, Schabath MB, Schleutker J, Schmidt MK, Setiawan VW, Shen H, Siegel EM, Sieh W, Singer CF, Slattery ML, Sorensen KD, Southey MC, Spurdle AB, Stanford JL, Stevens VL, Stintzing S, Stone J, Sundfeldt K, Sutphen R, Swerdlow AJ, Tajara EH, Tangen CM, Tardon A, Taylor JA, Teare MD, Teixeira MR, Terry MB, Terry KL, Thibodeau SN, Thomassen M, Bjørge L, Tischkowitz M, Toland AE, Torres D, Townsend PA, Travis RC, Tung N, Tworoger SS, Ulrich CM, Usmani N, Vachon CM, Van Nieuwenhuysen E, Vega A, Aguado-Barrera ME, Wang Q, Webb PM, Weinberg CR, Weinstein S, Weissler MC, Weitzel JN, West CML, White E, Whittemore AS, Wichmann HE, Wiklund F, Winqvist R, Wolk A, Woll P, Woods M, Wu AH, Wu X, Yannoukakos D, Zheng W, Zienolddiny S, Ziogas A, Zorn KK, Lane JM, Saxena R, Thomas D, Hung RJ, Diergaarde B, McKay J, Peters U, Hsu L, García-Closas M, Eeles RA, Chenevix-Trench G, Brennan PJ, Haiman CA, Simard J, Easton DF, Gruber SB, Pharoah PDP, Price AL, Pasaniuc B, Amos CI, Kraft P, Lindström S. Shared heritability and functional enrichment across six solid cancers. Nature Communications 2019, 10: 431. PMID: 30683880, PMCID: PMC6347624, DOI: 10.1038/s41467-018-08054-4.Peer-Reviewed Original ResearchMeSH KeywordsBreast NeoplasmsCase-Control StudiesColorectal NeoplasmsFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHead and Neck NeoplasmsHumansInheritance PatternsLung NeoplasmsMaleMental DisordersNeoplasm ProteinsOvarian NeoplasmsPhenotypePolymorphism, Single NucleotideProstatic NeoplasmsSmokingWhite PeopleConceptsHead/neck cancerHead/neckColorectal cancerLung cancerNeck cancerOvarian cancerProstate cancerSolid cancersGenetic correlationsPsychiatric diseasesSolid tumorsMultiple cancersCancerCancer etiologyCancer typesBreastFunctional enrichment analysisMetabolic characteristicsGenome-wide association study summary statisticsLungDiseaseSignificant genetic correlationsEuropean ancestryEnrichment analysisFunctional enrichment
2018
Disparities by race, age, and sex in the improvement of survival for lymphoma: Findings from a population-based study
Mukhtar F, Boffetta P, Dabo B, Park JY, Tran CTD, Tran TV, Tran HT, Whitney M, Risch HA, Le LC, Zheng W, Shu XO, Luu HN. Disparities by race, age, and sex in the improvement of survival for lymphoma: Findings from a population-based study. PLOS ONE 2018, 13: e0199745. PMID: 29995909, PMCID: PMC6040734, DOI: 10.1371/journal.pone.0199745.Peer-Reviewed Original ResearchConceptsLymphoma patientsHodgkin's lymphomaAge groupsHazard ratioDisease-specific mortalityFive-year survivalHodgkin's lymphoma patientsImprovement of survivalPopulation-based studyProportional hazards regressionConfidence intervalsCause-specific mortalityIncident lymphoma casesSEER cancer registryYears of ageOlder age groupsPatients 20Surveillance EpidemiologyCancer RegistrySurvival improvementHazards regressionLymphoma casesNHL survivalPatientsLymphomaPancreatic cancer risk is modulated by inflammatory potential of diet and ABO genotype: a consortia-based evaluation and replication study
Antwi SO, Bamlet WR, Pedersen KS, Chaffee KG, Risch HA, Shivappa N, Steck SE, Anderson KE, Bracci PM, Polesel J, Serraino D, La Vecchia C, Bosetti C, Li D, Oberg AL, Arslan AA, Albanes D, Duell EJ, Huybrechts I, Amundadottir LT, Hoover R, Mannisto S, Chanock S, Zheng W, Shu XO, Stepien M, Canzian F, Bueno-de-Mesquita B, Quirós JR, Zeleniuch-Jacquotte A, Bruinsma F, Milne RL, Giles GG, Hébert JR, Stolzenberg-Solomon RZ, Petersen GM. Pancreatic cancer risk is modulated by inflammatory potential of diet and ABO genotype: a consortia-based evaluation and replication study. Carcinogenesis 2018, 39: 1056-1067. PMID: 29800239, PMCID: PMC6067129, DOI: 10.1093/carcin/bgy072.Peer-Reviewed Original ResearchConceptsNon-O blood typeCase-control studyABO blood typePancreatic cancerPC riskInflammatory potentialBlood typeOdds ratioEnergy-adjusted dietary inflammatory index (E-DII) scoreDietary Inflammatory Index scoresNutrient/food intakeMultivariable-adjusted logistic regressionHigher E-DII scoresInflammatory index scorePro-inflammatory dietE-DII scoresPancreatic Cancer Case-Control ConsortiumConfidence intervalsPancreatic cancer riskPooled odds ratioGreater inflammatory potentialPancreatic Cancer Cohort ConsortiumHigh inflammatory potentialDII quintilesPooled analysisInteractions Between Genetic Variants and Environmental Factors Affect Risk of Esophageal Adenocarcinoma and Barrett’s Esophagus
Dong J, Levine DM, Buas MF, Zhang R, Onstad L, Fitzgerald RC, Consortium S, Corley DA, Shaheen NJ, Lagergren J, Hardie LJ, Reid BJ, Iyer PG, Risch HA, Caldas C, Caldas I, Pharoah PD, Liu G, Gammon MD, Chow WH, Bernstein L, Bird NC, Ye W, Wu AH, Anderson LA, MacGregor S, Whiteman DC, Vaughan TL, Thrift AP. Interactions Between Genetic Variants and Environmental Factors Affect Risk of Esophageal Adenocarcinoma and Barrett’s Esophagus. Clinical Gastroenterology And Hepatology 2018, 16: 1598-1606.e4. PMID: 29551738, PMCID: PMC6162842, DOI: 10.1016/j.cgh.2018.03.007.Peer-Reviewed Original ResearchConceptsRisk of EACGastroesophageal reflux diseaseBarrett's esophagusEsophageal adenocarcinomaGERD symptomsWide association studySmoking statusSymptoms of GERDChromosome 1p34.3Environmental factorsChromosome 2p25.1Association of BMIChromosome 1Borderline significant interactionAssociation studiesGene studiesOesophageal cancer studiesSusceptibility lociCase-control logistic regressionGenesChromosome 15q14Genetic variantsReflux diseaseSmoking historyBMI measurements