2023
Characterizing prostate cancer risk through multi-ancestry genome-wide discovery of 187 novel risk variants
Wang A, Shen J, Rodriguez A, Saunders E, Chen F, Janivara R, Darst B, Sheng X, Xu Y, Chou A, Benlloch S, Dadaev T, Brook M, Plym A, Sahimi A, Hoffman T, Takahashi A, Matsuda K, Momozawa Y, Fujita M, Laisk T, Figuerêdo J, Muir K, Ito S, Liu X, Uchio Y, Kubo M, Kamatani Y, Lophatananon A, Wan P, Andrews C, Lori A, Choudhury P, Schleutker J, Tammela T, Sipeky C, Auvinen A, Giles G, Southey M, MacInnis R, Cybulski C, Wokolorczyk D, Lubinski J, Rentsch C, Cho K, Mcmahon B, Neal D, Donovan J, Hamdy F, Martin R, Nordestgaard B, Nielsen S, Weischer M, Bojesen S, Røder A, Stroomberg H, Batra J, Chambers S, Horvath L, Clements J, Tilly W, Risbridger G, Gronberg H, Aly M, Szulkin R, Eklund M, Nordstrom T, Pashayan N, Dunning A, Ghoussaini M, Travis R, Key T, Riboli E, Park J, Sellers T, Lin H, Albanes D, Weinstein S, Cook M, Mucci L, Giovannucci E, Lindstrom S, Kraft P, Hunter D, Penney K, Turman C, Tangen C, Goodman P, Thompson I, Hamilton R, Fleshner N, Finelli A, Parent M, Stanford J, Ostrander E, Koutros S, Beane Freeman L, Stampfer M, Wolk A, Håkansson N, Andriole G, Hoover R, Machiela M, Sørensen K, Borre M, Blot W, Zheng W, Yeboah E, Mensah J, Lu Y, Zhang H, Feng N, Mao X, Wu Y, Zhao S, Sun Z, Thibodeau S, McDonnell S, Schaid D, West C, Barnett G, Maier C, Schnoeller T, Luedeke M, Kibel A, Drake B, Cussenot O, Cancel-Tassin G, Menegaux F, Truong T, Koudou Y, John E, Grindedal E, Maehle L, Khaw K, Ingles S, Stern M, Vega A, Gómez-Caamaño A, Fachal L, Rosenstein B, Kerns S, Ostrer H, Teixeira M, Paulo P, Brandão A, Watya S, Lubwama A, Bensen J, Butler E, Mohler J, Taylor J, Kogevinas M, Dierssen-Sotos T, Castaño-Vinyals G, Cannon-Albright L, Teerlink C, Huff C, Pilie P, Yu Y, Bohlender R, Gu J, Strom S, Multigner L, Blanchet P, Brureau L, Kaneva R, Slavov C, Mitev V, Leach R, Brenner H, Chen X, Holleczek B, Schöttker B, Klein E, Hsing A, Kittles R, Murphy A, Logothetis C, Kim J, Neuhausen S, Steele L, Ding Y, Isaacs W, Nemesure B, Hennis A, Carpten J, Pandha H, Michael A, De Ruyck K, De Meerleer G, Ost P, Xu J, Razack A, Lim J, Teo S, Newcomb L, Lin D, Fowke J, Neslund-Dudas C, Rybicki B, Gamulin M, Lessel D, Kulis T, Usmani N, Abraham A, Singhal S, Parliament M, Claessens F, Joniau S, Van den Broeck T, Gago-Dominguez M, Castelao J, Martinez M, Larkin S, Townsend P, Aukim-Hastie C, Bush W, Aldrich M, Crawford D, Srivastava S, Cullen J, Petrovics G, Casey G, Wang Y, Tettey Y, Lachance J, Tang W, Biritwum R, Adjei A, Tay E, Truelove A, Niwa S, Yamoah K, Govindasami K, Chokkalingam A, Keaton J, Hellwege J, Clark P, Jalloh M, Gueye S, Niang L, Ogunbiyi O, Shittu O, Amodu O, Adebiyi A, Aisuodionoe-Shadrach O, Ajibola H, Jamda M, Oluwole O, Nwegbu M, Adusei B, Mante S, Darkwa-Abrahams A, Diop H, Gundell S, Roobol M, Jenster G, van Schaik R, Hu J, Sanderson M, Kachuri L, Varma R, McKean-Cowdin R, Torres M, Preuss M, Loos R, Zawistowski M, Zöllner S, Lu Z, Van Den Eeden S, Easton D, Ambs S, Edwards T, Mägi R, Rebbeck T, Fritsche L, Chanock S, Berndt S, Wiklund F, Nakagawa H, Witte J, Gaziano J, Justice A, Mancuso N, Terao C, Eeles R, Kote-Jarai Z, Madduri R, Conti D, Haiman C. Characterizing prostate cancer risk through multi-ancestry genome-wide discovery of 187 novel risk variants. Nature Genetics 2023, 55: 2065-2074. PMID: 37945903, PMCID: PMC10841479, DOI: 10.1038/s41588-023-01534-4.Peer-Reviewed Original ResearchMeSH KeywordsAsian PeopleBlack PeopleGenetic Predisposition to DiseaseGenome-Wide Association StudyHispanic or LatinoHumansMalePolymorphism, Single NucleotideProstatic NeoplasmsRisk FactorsWhite PeopleConceptsGenome-wide association studiesMulti-ancestry genome-wide association studyNovel risk variantsRisk variantsAssociation studiesProstate cancer genome-wide association studiesCancer genome-wide association studyGenome-wide discoveryProstate cancer susceptibility lociGenetic risk scoreCancer susceptibility lociEuropean ancestry menGenetic studiesSusceptibility lociNon-aggressive diseaseEffective risk stratificationAfrican ancestry menProstate cancer riskAncestry groupsProstate cancer casesRisk stratificationAfrican ancestryProstate cancerCancer casesCancer riskEvidence of Novel Susceptibility Variants for Prostate Cancer and a Multiancestry Polygenic Risk Score Associated with Aggressive Disease in Men of African Ancestry
Chen F, Madduri R, Rodriguez A, Darst B, Chou A, Sheng X, Wang A, Shen J, Saunders E, Rhie S, Bensen J, Ingles S, Kittles R, Strom S, Rybicki B, Nemesure B, Isaacs W, Stanford J, Zheng W, Sanderson M, John E, Park J, Xu J, Wang Y, Berndt S, Huff C, Yeboah E, Tettey Y, Lachance J, Tang W, Rentsch C, Cho K, Mcmahon B, Biritwum R, Adjei A, Tay E, Truelove A, Niwa S, Sellers T, Yamoah K, Murphy A, Crawford D, Patel A, Bush W, Aldrich M, Cussenot O, Petrovics G, Cullen J, Neslund-Dudas C, Stern M, Kote-Jarai Z, Govindasami K, Cook M, Chokkalingam A, Hsing A, Goodman P, Hoffmann T, Drake B, Hu J, Keaton J, Hellwege J, Clark P, Jalloh M, Gueye S, Niang L, Ogunbiyi O, Idowu M, Popoola O, Adebiyi A, Aisuodionoe-Shadrach O, Ajibola H, Jamda M, Oluwole O, Nwegbu M, Adusei B, Mante S, Darkwa-Abrahams A, Mensah J, Diop H, Van Den Eeden S, Blanchet P, Fowke J, Casey G, Hennis A, Lubwama A, Thompson I, Leach R, Easton D, Preuss M, Loos R, Gundell S, Wan P, Mohler J, Fontham E, Smith G, Taylor J, Srivastava S, Eeles R, Carpten J, Kibel A, Multigner L, Parent M, Menegaux F, Cancel-Tassin G, Klein E, Andrews C, Rebbeck T, Brureau L, Ambs S, Edwards T, Watya S, Chanock S, Witte J, Blot W, Gaziano J, Justice A, Conti D, Haiman C. Evidence of Novel Susceptibility Variants for Prostate Cancer and a Multiancestry Polygenic Risk Score Associated with Aggressive Disease in Men of African Ancestry. European Urology 2023, 84: 13-21. PMID: 36872133, PMCID: PMC10424812, DOI: 10.1016/j.eururo.2023.01.022.Peer-Reviewed Original ResearchBlack PeopleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMaleProstatic NeoplasmsRisk Factors
2022
Cross-ancestry meta-analysis of opioid use disorder uncovers novel loci with predominant effects in brain regions associated with addiction
Kember RL, Vickers-Smith R, Xu H, Toikumo S, Niarchou M, Zhou H, Hartwell EE, Crist RC, Rentsch CT, Davis L, Justice A, Sanchez-Roige S, Kampman K, Gelernter J, Kranzler H. Cross-ancestry meta-analysis of opioid use disorder uncovers novel loci with predominant effects in brain regions associated with addiction. Nature Neuroscience 2022, 25: 1279-1287. PMID: 36171425, PMCID: PMC9682545, DOI: 10.1038/s41593-022-01160-z.Peer-Reviewed Original ResearchMeSH KeywordsBehavior, AddictiveBrainFurinGenome-Wide Association StudyHumansOpioid-Related DisordersConceptsOpioid use disorderGenome-wide association studiesWide significant lociGene expression enrichmentSignificant genetic correlationsCell type groupSignificant lociAssociation studiesExpression enrichmentMillion Veteran ProgramGenetic correlationsUse disordersLociBrain regionsExonic variantsIntronic variantsSubstance use disordersTraitsBiological basisOpioid epidemicPsychiatric disordersVeteran ProgramBrain diseasesTSNARE1FBXW4Validation of a multi-ancestry polygenic risk score and age-specific risks of prostate cancer: A meta-analysis within diverse populations
Chen F, Darst BF, Madduri RK, Rodriguez AA, Sheng X, Rentsch CT, Andrews C, Tang W, Kibel AS, Plym A, Cho K, Jalloh M, Gueye SM, Niang L, Ogunbiyi OJ, Popoola O, Adebiyi AO, Aisuodionoe-Shadrach OI, Ajibola HO, Jamda MA, Oluwole OP, Nwegbu M, Adusei B, Mante S, Darkwa-Abrahams A, Mensah JE, Adjei AA, Diop H, Lachance J, Rebbeck TR, Ambs S, Gaziano JM, Justice AC, Conti DV, Haiman CA. Validation of a multi-ancestry polygenic risk score and age-specific risks of prostate cancer: A meta-analysis within diverse populations. ELife 2022, 11: e78304. PMID: 35801699, PMCID: PMC9322982, DOI: 10.7554/elife.78304.Peer-Reviewed Original ResearchMeSH KeywordsAge FactorsCase-Control StudiesGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMaleMiddle AgedMultifactorial InheritanceProstatic NeoplasmsRisk FactorsUnited StatesConceptsProstate cancer riskPolygenic risk scoresProstate cancerCancer riskOdds ratioMillion Veteran ProgramRisk scoreRisk stratification toolAge-specific absolute risksAfrican ancestry menCancer odds ratiosVeterans Health AdministrationCase-control studyNonaggressive prostate cancerProstate Cancer FoundationAge-specific riskAssociation of PRSPRS categoriesRisk-stratified screeningVeteran ProgramNational Cancer InstituteEuropean ancestry menStratification toolAbsolute riskEffect modification
2021
Analysis of genetic and clinical factors associated with buprenorphine response
Crist RC, Vickers-Smith R, Kember RL, Rentsch CT, Xu H, Edelman EJ, Hartwell EE, Kampman KM, Kranzler HR. Analysis of genetic and clinical factors associated with buprenorphine response. Drug And Alcohol Dependence 2021, 227: 109013. PMID: 34488071, PMCID: PMC9328121, DOI: 10.1016/j.drugalcdep.2021.109013.Peer-Reviewed Original ResearchMeSH KeywordsADAMTS ProteinsAgedAnalgesics, OpioidBuprenorphineGenome-Wide Association StudyHumansOpiate Substitution TreatmentOpioid-Related DisordersRelationship Between Glycemia and Cognitive Function, Structural Brain Outcomes, and Dementia: A Mendelian Randomization Study in the UK Biobank.
Garfield V, Farmaki AE, Fatemifar G, Eastwood SV, Mathur R, Rentsch CT, Denaxas S, Bhaskaran K, Smeeth L, Chaturvedi N. Relationship Between Glycemia and Cognitive Function, Structural Brain Outcomes, and Dementia: A Mendelian Randomization Study in the UK Biobank. Diabetes 2021, 70: 2313-2321. PMID: 33632741, DOI: 10.2337/db20-0895.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedBiological Specimen BanksBlood GlucoseBrainCognitionDementiaDiabetes Mellitus, Type 2FemaleGenome-Wide Association StudyGlycated HemoglobinHumansMaleMemoryMendelian Randomization AnalysisMiddle AgedOrgan SizePolymorphism, Single NucleotidePrognosisReaction TimeRisk FactorsUnited KingdomWhite MatterConceptsWhite matter hyperintensity volumeType 2 diabetesHippocampal volumeAlzheimer's dementiaRisk of ADCognitive functionMendelian randomizationBrain structuresStructural brain outcomesGenetic instrumentsMR sensitivity analysesUK BiobankVisual memoryMendelian randomization studyIncident dementiaBrain outcomesDiabetes riskHyperintensity volumeMeasures of cognitionPeripheral glycemiaBidirectional Mendelian randomizationDiabetesRandomization studyCausal associationGlycemia
2020
Association of OPRM1 Functional Coding Variant With Opioid Use Disorder
Zhou H, Rentsch CT, Cheng Z, Kember RL, Nunez YZ, Sherva RM, Tate JP, Dao C, Xu K, Polimanti R, Farrer LA, Justice AC, Kranzler HR, Gelernter J. Association of OPRM1 Functional Coding Variant With Opioid Use Disorder. JAMA Psychiatry 2020, 77: 1072-1080. PMID: 32492095, PMCID: PMC7270886, DOI: 10.1001/jamapsychiatry.2020.1206.Peer-Reviewed Original ResearchMeSH KeywordsAgedFemaleGenome-Wide Association StudyHumansMaleMiddle AgedOpioid-Related DisordersReceptors, Opioid, muUnited StatesUnited States Department of Veterans AffairsConceptsOpioid use disorderUse disordersMendelian randomization analysisAfrican American individualsMAIN OUTCOMEFunctional coding variantSignificant associationCausal associationRandomization analysisElectronic health record dataCurrent opioid crisisAmerican individualsHealth record dataCognitive performanceInternational Statistical ClassificationRelated Health ProblemsPotential causal associationAmerican controlsEuropean American controlsAfrican-American controlsCoding variantBuprenorphine treatmentOUD diagnosisTobacco smokingNinth Revision