2022
Association of Kidney Comorbidities and Acute Kidney Failure With Unfavorable Outcomes After COVID-19 in Individuals With the Sickle Cell Trait
Verma A, Huffman JE, Gao L, Minnier J, Wu WC, Cho K, Ho YL, Gorman BR, Pyarajan S, Rajeevan N, Garcon H, Joseph J, McGeary JE, Suzuki A, Reaven PD, Wan ES, Lynch JA, Petersen JM, Meigs JB, Freiberg MS, Gatsby E, Lynch KE, Zekavat SM, Natarajan P, Dalal S, Jhala DN, Arjomandi M, Bonomo RA, Thompson TK, Pathak GA, Zhou JJ, Donskey CJ, Madduri RK, Wells QS, Gelernter J, Huang RDL, Polimanti R, Chang KM, Liao KP, Tsao PS, Sun YV, Wilson PWF, O’Donnell C, Hung AM, Gaziano JM, Hauger RL, Iyengar SK, Luoh SW, Muralidhar S, Beckham J, Moser J, Thomann L, Garcon H, Kosik N, Damrauer S, Assimes T, Roussos P, Striker R, Tuteja S, DuVall S, Lynch K, Gatsby E, Ramoni R, Breeling J, Huang G, Whitbourne S, Brewer J, Aslan M, Connor T, Argyres D, Stephens B, Brophy M, Humphries D, Selva L, Do N, Shayan S, Churby L, Hauser E, Zhao H, Wilson P, McArdle R, Dellitalia L, Mattocks K, Harley J, Whittle J, Jacono F, Wells J, Gutierrez S, Gibson G, Hammer K, Kaminsky L, Villareal G, Kinlay S, Xu J, Hamner M, Mathew R, Bhushan S, Iruvanti P, Godschalk M, Ballas Z, Ivins D, Mastorides S, Moorman J, Gappy S, Klein J, Ratcliffe N, Florez H, Okusaga O, Murdoch M, Sriram P, Yeh S, Tandon N, Jhala D, Aguayo S, Cohen D, Sharma S, Liangpunsakul S, Oursler K, Whooley M, Ahuja S, Constans J, Meyer P, Greco J, Rauchman M, Servatius R, Gaddy M, Wallbom A, Morgan T, Stapley T, Sherman S, Ross G, Tsao P, Strollo P, Boyko E, Meyer L, Gupta S, Huq M, Fayad J, Hung A, Lichy J, Hurley R, Robey B. Association of Kidney Comorbidities and Acute Kidney Failure With Unfavorable Outcomes After COVID-19 in Individuals With the Sickle Cell Trait. JAMA Internal Medicine 2022, 182: 796-804. PMID: 35759254, PMCID: PMC9237798, DOI: 10.1001/jamainternmed.2022.2141.Peer-Reviewed Original ResearchConceptsAcute kidney failureSickle cell traitAssociation of SCTCOVID-19 outcomesCOVID-19 mortalityKidney diseaseKidney failureCell traitMillion Veteran ProgramCOVID-19Chronic kidney diseaseDiabetic kidney diseaseHypertensive kidney diseaseElectronic health recordsIndex dateAfrican ancestryPulmonary embolismClinical outcomesCerebrovascular diseaseMean ageUnfavorable outcomeClinical dataDiseases codesKidney morbidityMAIN OUTCOME
2016
Genome-wide Association Study of Cannabis Dependence Severity, Novel Risk Variants, and Shared Genetic Risks
Sherva R, Wang Q, Kranzler H, Zhao H, Koesterer R, Herman A, Farrer LA, Gelernter J. Genome-wide Association Study of Cannabis Dependence Severity, Novel Risk Variants, and Shared Genetic Risks. JAMA Psychiatry 2016, 73: 472. PMID: 27028160, PMCID: PMC4974817, DOI: 10.1001/jamapsychiatry.2016.0036.Peer-Reviewed Original ResearchConceptsCannabis dependenceNeuronal calcium homeostasisGenetic factorsMajor depressive disorderSushi multiple domains-1 (CSMD1) geneSubstance abuse treatment centersSpecific genetic risk factorsGenetic risk factorsShared genetic riskPotential genetic factorsCentral nervous system developmentCriterion countsCannabis dependence severityDomain 1 geneCAD riskMean ageRisk factorsDepressive disorderNervous system developmentMajor depressionLarge cohortMAIN OUTCOMEGenome-wide association studiesTreatment centersCalcium homeostasis
2013
Rate of progression from first use to dependence on cocaine or opioids: A cross-substance examination of associated demographic, psychiatric, and childhood risk factors
Sartor CE, Kranzler HR, Gelernter J. Rate of progression from first use to dependence on cocaine or opioids: A cross-substance examination of associated demographic, psychiatric, and childhood risk factors. Addictive Behaviors 2013, 39: 473-479. PMID: 24238782, PMCID: PMC3855905, DOI: 10.1016/j.addbeh.2013.10.021.Peer-Reviewed Original ResearchMeSH KeywordsAdultAge of OnsetAgedAlcohol-Related DisordersBehavior, AddictiveCase-Control StudiesChildChild AbuseCluster AnalysisCocaine-Related DisordersConnecticutCross-Sectional StudiesDiagnosis, Dual (Psychiatry)Disease ProgressionFemaleHumansInterviews as TopicLogistic ModelsMaleMental DisordersMiddle AgedOpioid-Related DisordersPennsylvaniaRisk FactorsSocial EnvironmentSocioeconomic FactorsSouth CarolinaTime FactorsConceptsChildhood risk factorsOpioid dependenceOpioid-dependent participantsRisk factorsCocaine dependenceDependent participantsImportant public health goalRate of progressionPublic health goalsLogistic regression modelsBlack/African AmericanChildhood physical abuseOrdinal logistic regression modelsCocaine-dependent participantsMean ageSlow progressionElevated riskAssociated demographicPsychiatric disordersMulti-site studyDependence diagnosisGreater riskHealth goalsSubstance dependenceConduct disorder