2020
Assessment 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 Research
2017
Determining Risk of Barrett’s Esophagus and Esophageal Adenocarcinoma Based on Epidemiologic Factors and Genetic Variants
Dong J, Buas MF, Gharahkhani P, Kendall BJ, Onstad L, Zhao S, Anderson LA, Wu AH, Ye W, Bird NC, Bernstein L, Chow WH, Gammon MD, Liu G, Caldas C, Pharoah PD, Risch HA, Iyer PG, Reid BJ, Hardie LJ, Lagergren J, Shaheen NJ, Corley DA, Fitzgerald RC, consortium S, Whiteman DC, Vaughan TL, Thrift AP. Determining Risk of Barrett’s Esophagus and Esophageal Adenocarcinoma Based on Epidemiologic Factors and Genetic Variants. Gastroenterology 2017, 154: 1273-1281.e3. PMID: 29247777, PMCID: PMC5880715, DOI: 10.1053/j.gastro.2017.12.003.Peer-Reviewed Original ResearchMeSH KeywordsAdenocarcinomaArea Under CurveAustraliaBarrett EsophagusCase-Control StudiesDatabases, FactualDecision Support TechniquesEsophageal NeoplasmsEuropeFemaleGene-Environment InteractionGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansLife StyleLogistic ModelsMaleMiddle AgedModels, GeneticMolecular EpidemiologyMultifactorial InheritanceNorth AmericaOdds RatioPhenotypePolymorphism, Single NucleotidePredictive Value of TestsRisk AssessmentRisk FactorsROC CurveConceptsGastroesophageal reflux diseaseBarrett's esophagusEsophageal adenocarcinomaLifestyle factorsPolygenic risk scoresGERD symptomsNon-genetic factorsDemographic/lifestyle factorsNet reclassification improvementCharacteristic curve analysisAUC valuesRisk prediction modelEsophageal cancer studyInternational Barrett'sReflux diseaseHighest quartileNet reclassificationEpidemiologic factorsReclassification improvementLowest quartileHigh riskRisk scorePatientsEsophagusAbstractText
2016
Winner's Curse Correction and Variable Thresholding Improve Performance of Polygenic Risk Modeling Based on Genome-Wide Association Study Summary-Level Data
Shi J, Park JH, Duan J, Berndt ST, Moy W, Yu K, Song L, Wheeler W, Hua X, Silverman D, Garcia-Closas M, Hsiung CA, Figueroa JD, Cortessis VK, Malats N, Karagas MR, Vineis P, Chang IS, Lin D, Zhou B, Seow A, Matsuo K, Hong YC, Caporaso NE, Wolpin B, Jacobs E, Petersen GM, Klein AP, Li D, Risch H, Sanders AR, Hsu L, Schoen RE, Brenner H, , , , , , , Stolzenberg-Solomon R, Gejman P, Lan Q, Rothman N, Amundadottir LT, Landi MT, Levinson DF, Chanock SJ, Chatterjee N. Winner's Curse Correction and Variable Thresholding Improve Performance of Polygenic Risk Modeling Based on Genome-Wide Association Study Summary-Level Data. PLOS Genetics 2016, 12: e1006493. PMID: 28036406, PMCID: PMC5201242, DOI: 10.1371/journal.pgen.1006493.Peer-Reviewed Original Research