2023
tRFtarget 2.0: expanding the targetome landscape of transfer RNA-derived fragments
Li N, Yao S, Yu G, Lu L, Wang Z. tRFtarget 2.0: expanding the targetome landscape of transfer RNA-derived fragments. Nucleic Acids Research 2023, 52: d345-d350. PMID: 37811890, PMCID: PMC10767876, DOI: 10.1093/nar/gkad815.Peer-Reviewed Original Research
2020
tRFtarget: a database for transfer RNA-derived fragment targets
Li N, Shan N, Lu L, Wang Z. tRFtarget: a database for transfer RNA-derived fragment targets. Nucleic Acids Research 2020, 49: d254-d260. PMID: 33035346, PMCID: PMC7779015, DOI: 10.1093/nar/gkaa831.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsBase PairingBase SequenceCaenorhabditis elegansDatabases, Nucleic AcidDrosophila melanogasterGene OntologyHumansMiceMolecular Sequence AnnotationNucleic Acid ConformationNucleic Acid HybridizationRhodobacter sphaeroidesRNA, MessengerRNA, Small UntranslatedRNA, TransferSchizosaccharomycesThermodynamicsXenopusZebrafishConceptsTarget genesTransfer RNASmall non-coding RNAsGene Ontology annotationsNon-coding RNAsFunctional pathway analysisAccessible web-based databaseMolecular functionsOntology annotationsBiological functionsPathway analysisMolecular mechanismsPhysiological processesTarget predictionHuman diseasesGenesMRNA transcriptsRNAWeb-based databaseConvenient linkTRFImportant roleRNAhybridTargetIntaRNA
2018
Agnostic Pathway/Gene Set Analysis of Genome-Wide Association Data Identifies Associations for Pancreatic Cancer
Walsh N, Zhang H, Hyland PL, Yang Q, Mocci E, Zhang M, Childs EJ, Collins I, Wang Z, Arslan AA, Beane-Freeman L, Bracci PM, Brennan P, Canzian F, Duell EJ, Gallinger S, Giles GG, Goggins M, Goodman GE, Goodman PJ, Hung RJ, Kooperberg C, Kurtz RC, Malats N, LeMarchand L, Neale RE, Olson SH, Scelo G, Shu XO, Van Den Eeden SK, Visvanathan K, White E, Zheng W, consortia P, Albanes D, Andreotti G, Babic A, Bamlet W, Berndt S, Borgida A, Boutron-Ruault M, Brais L, Brennan P, Bueno-de-Mesquita B, Buring J, Chaffee K, Chanock S, Cleary S, Cotterchio M, Foretova L, Fuchs C, Gaziano J, Giovannucci E, Goggins M, Hackert T, Haiman C, Hartge P, Hasan M, Helzlsouer K, Herman J, Holcatova I, Holly E, Hoover R, Hung R, Janout V, Klein E, Kurtz R, Laheru D, Lee I, Lu L, Malats N, Mannisto S, Milne R, Oberg A, Orlow I, Patel A, Peters U, Porta M, Real F, Rothman N, Sesso H, Severi G, Silverman D, Strobel O, Sund M, Thornquist M, Tobias G, Wactawski-Wende J, Wareham N, Weiderpass E, Wentzensen N, Wheeler W, Yu H, Zeleniuch-Jacquotte A, Kraft P, Li D, Jacobs E, Petersen G, Wolpin B, Risch H, Amundadottir L, Yu K, Klein A, Stolzenberg-Solomon R. Agnostic Pathway/Gene Set Analysis of Genome-Wide Association Data Identifies Associations for Pancreatic Cancer. Journal Of The National Cancer Institute 2018, 111: 557-567. PMID: 30541042, PMCID: PMC6579744, DOI: 10.1093/jnci/djy155.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesGene setsSingle nucleotide polymorphismsFunctional annotationEpidermal growth factor receptor transactivationExpression quantitative trait loci (eQTL) analysisQuantitative trait locus (QTL) analysisGrowth factor receptor transactivationTop single nucleotide polymorphismsG protein-coupled receptorsGene-set analysisProtein-coupled receptorsIndividual single nucleotide polymorphismsBeta-cell developmentEQTL analysisGWAS dataPCC genesPancreatic ductal adenocarcinomaReceptor transactivationLocus analysisPathway analysisAssociation studiesGenesSusceptibility genesIdentifies associationsIdentification of nine new susceptibility loci for endometrial cancer
O’Mara T, Glubb DM, Amant F, Annibali D, Ashton K, Attia J, Auer PL, Beckmann MW, Black A, Bolla MK, Brauch H, Brenner H, Brinton L, Buchanan DD, Burwinkel B, Chang-Claude J, Chanock SJ, Chen C, Chen MM, Cheng THT, Clarke CL, Clendenning M, Cook LS, Couch FJ, Cox A, Crous-Bous M, Czene K, Day F, Dennis J, Depreeuw J, Doherty JA, Dörk T, Dowdy SC, Dürst M, Ekici AB, Fasching PA, Fridley BL, Friedenreich CM, Fritschi L, Fung J, García-Closas M, Gaudet MM, Giles GG, Goode EL, Gorman M, Haiman CA, Hall P, Hankison SE, Healey CS, Hein A, Hillemanns P, Hodgson S, Hoivik EA, Holliday EG, Hopper JL, Hunter DJ, Jones A, Krakstad C, Kristensen VN, Lambrechts D, Marchand LL, Liang X, Lindblom A, Lissowska J, Long J, Lu L, Magliocco AM, Martin L, McEvoy M, Meindl A, Michailidou K, Milne RL, Mints M, Montgomery GW, Nassir R, Olsson H, Orlow I, Otton G, Palles C, Perry JRB, Peto J, Pooler L, Prescott J, Proietto T, Rebbeck TR, Risch HA, Rogers PAW, Rübner M, Runnebaum I, Sacerdote C, Sarto GE, Schumacher F, Scott RJ, Setiawan VW, Shah M, Sheng X, Shu XO, Southey MC, Swerdlow AJ, Tham E, Trovik J, Turman C, Tyrer JP, Vachon C, VanDen Berg D, Vanderstichele A, Wang Z, Webb PM, Wentzensen N, Werner HMJ, Winham SJ, Wolk A, Xia L, Xiang YB, Yang HP, Yu H, Zheng W, Pharoah PDP, Dunning AM, Kraft P, De Vivo I, Tomlinson I, Easton DF, Spurdle AB, Thompson DJ. Identification of nine new susceptibility loci for endometrial cancer. Nature Communications 2018, 9: 3166. PMID: 30093612, PMCID: PMC6085317, DOI: 10.1038/s41467-018-05427-7.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesCandidate causal genesCausal genesNovel genome-wide significant lociRisk lociEndometrial cancer risk lociGenome-wide significant lociExpression quantitative trait loci (eQTL) analysisQuantitative trait locus (QTL) analysisSignal transduction proteinsCancer risk lociNew susceptibility lociTransduction proteinsSignificant lociLocus analysisNegative regulatorAssociation studiesFemale reproductive tractSusceptibility lociLoci associateLociGenesDecreased expressionReproductive tractRisk allelesGenome-wide association analysis identifies a meningioma risk locus at 11p15.5
Claus EB, Cornish AJ, Broderick P, Schildkraut JM, Dobbins SE, Holroyd A, Calvocoressi L, Lu L, Hansen HM, Smirnov I, Walsh KM, Schramm J, Hoffmann P, Nöthen MM, Jöckel KH, Swerdlow A, Larsen SB, Johansen C, Simon M, Bondy M, Wrensch M, Houlston RS, Wiemels JL. Genome-wide association analysis identifies a meningioma risk locus at 11p15.5. Neuro-Oncology 2018, 20: 1485-1493. PMID: 29762745, PMCID: PMC6176799, DOI: 10.1093/neuonc/noy077.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedBiomarkers, TumorCase-Control StudiesChromosomes, Human, Pair 11FemaleFollow-Up StudiesGenetic LociGenetic Predisposition to DiseaseGenome-Wide Association StudyGenotypeHumansLinkage DisequilibriumMaleMeningeal NeoplasmsMeningiomaMiddle AgedPolymorphism, Single NucleotidePrognosisRisk FactorsYoung AdultConceptsGenome-wide association studiesRisk lociGenome-wide association analysisSusceptibility lociNeural crest-derived structuresSignificant heritable basisNumber of genesIndependent sample seriesNew susceptibility lociHeritable basisGenetic basisGenome ProjectAssociation studiesAssociation analysisLinkage disequilibriumLociMeningioma developmentReference panelPolygenic modelCentral roleUK10K dataAdult brain tumorsRIC8AMeningeal coveringsGenesGenome-wide meta-analysis identifies five new susceptibility loci for pancreatic cancer
Klein AP, Wolpin BM, Risch HA, Stolzenberg-Solomon RZ, Mocci E, Zhang M, Canzian F, Childs EJ, Hoskins JW, Jermusyk A, Zhong J, Chen F, Albanes D, Andreotti G, Arslan AA, Babic A, Bamlet WR, Beane-Freeman L, Berndt SI, Blackford A, Borges M, Borgida A, Bracci PM, Brais L, Brennan P, Brenner H, Bueno-de-Mesquita B, Buring J, Campa D, Capurso G, Cavestro GM, Chaffee KG, Chung CC, Cleary S, Cotterchio M, Dijk F, Duell EJ, Foretova L, Fuchs C, Funel N, Gallinger S, M. Gaziano JM, Gazouli M, Giles GG, Giovannucci E, Goggins M, Goodman GE, Goodman PJ, Hackert T, Haiman C, Hartge P, Hasan M, Hegyi P, Helzlsouer KJ, Herman J, Holcatova I, Holly EA, Hoover R, Hung RJ, Jacobs EJ, Jamroziak K, Janout V, Kaaks R, Khaw KT, Klein EA, Kogevinas M, Kooperberg C, Kulke MH, Kupcinskas J, Kurtz RJ, Laheru D, Landi S, Lawlor RT, Lee I, LeMarchand L, Lu L, Malats N, Mambrini A, Mannisto S, Milne RL, Mohelníková-Duchoňová B, Neale RE, Neoptolemos JP, Oberg AL, Olson SH, Orlow I, Pasquali C, Patel AV, Peters U, Pezzilli R, Porta M, Real FX, Rothman N, Scelo G, Sesso HD, Severi G, Shu XO, Silverman D, Smith JP, Soucek P, Sund M, Talar-Wojnarowska R, Tavano F, Thornquist MD, Tobias GS, Van Den Eeden SK, Vashist Y, Visvanathan K, Vodicka P, Wactawski-Wende J, Wang Z, Wentzensen N, White E, Yu H, Yu K, Zeleniuch-Jacquotte A, Zheng W, Kraft P, Li D, Chanock S, Obazee O, Petersen GM, Amundadottir LT. Genome-wide meta-analysis identifies five new susceptibility loci for pancreatic cancer. Nature Communications 2018, 9: 556. PMID: 29422604, PMCID: PMC5805680, DOI: 10.1038/s41467-018-02942-5.Peer-Reviewed Original ResearchMeSH KeywordsCarcinoma, Pancreatic DuctalDatabases, GeneticGenetic Predisposition to DiseaseGenome-Wide Association StudyHepatocyte Nuclear Factor 1-betaHepatocyte Nuclear Factor 4HumansIntercellular Signaling Peptides and ProteinsIntracellular Signaling Peptides and ProteinsPancreatic NeoplasmsPolymorphism, Single NucleotideProteinsRepressor ProteinsTensinsConceptsNew genome-wide significant lociGenome-wide significant lociExpression quantitative trait loci (eQTL) analysisQuantitative trait locus (QTL) analysisPANcreatic Disease ReseArch (PANDoRA) consortiumNew susceptibility lociPancreatic cancer susceptibility genesCommon susceptibility allelesCancer susceptibility genesSignificant lociPancreatic Cancer Case-Control ConsortiumMolecular supportPancreatic Cancer Cohort ConsortiumLocus analysisSusceptibility lociSusceptibility genesSusceptibility allelesEuropean ancestryNovel associationsLociPancreatic cancerConsortiumGWASGenesAlleles
2017
Disruption of the gaa Gene in Zebrafish Fails to Generate the Phenotype of Classical Pompe Disease
Wu J, Yang Y, Sun C, Sun S, Li Q, Yao Y, Fei F, Lu L, Chang Z, Zhang W, Wang X, Luo F. Disruption of the gaa Gene in Zebrafish Fails to Generate the Phenotype of Classical Pompe Disease. DNA And Cell Biology 2017, 36: 10-17. PMID: 28045567, DOI: 10.1089/dna.2016.3459.Peer-Reviewed Original ResearchConceptsGAA mRNAFrameshift mutationEnzymatic activityGene expression changesGAA geneSpecies-specific differencesPresence of autophagosomesGlycogen accumulationMutant zebrafishGAA enzymatic activityWT zebrafishZebrafish modelDays postfertilizationExpression changesZebrafishDifferent speciesPhenotypic changesAdult stageLysosomal glycogen accumulationGlycogen storage disease type IIStorage disease type IIGenesProtein levelsProtein expressionMutants
2016
Metformin alters DNA methylation genome-wide via the H19/SAHH axis
Zhong T, Men Y, Lu L, Geng T, Zhou J, Mitsuhashi A, Shozu M, Maihle NJ, Carmichael GG, Taylor HS, Huang Y. Metformin alters DNA methylation genome-wide via the H19/SAHH axis. Oncogene 2016, 36: 2345-2354. PMID: 27775072, PMCID: PMC5415944, DOI: 10.1038/onc.2016.391.Peer-Reviewed Original ResearchConceptsS-adenosylhomocysteine hydrolaseDNA methylation genomeGenome-wide alterationsNovel mechanismSubset of genesDNA methyltransferase 3BMethylation genomeDNA methylationEpigenetic dysregulationPathway genesMolecular basisAMPK activationLet-7Methyltransferase 3BMolecular mechanismsEndometrial cancer tissue samplesH19 knockdownGene methylationCell proliferationCancer tissue samplesCancer cellsNormal cellsConcomitant inhibitionGenesMethylation
2012
Genome‐wide search for replicable risk gene regions in alcohol and nicotine co‐dependence
Zuo L, Zhang F, Zhang H, Zhang X, Wang F, Li C, Lu L, Hong J, Lu L, Krystal J, Deng H, Luo X. Genome‐wide search for replicable risk gene regions in alcohol and nicotine co‐dependence. American Journal Of Medical Genetics Part B Neuropsychiatric Genetics 2012, 159B: 437-444. PMID: 22488850, PMCID: PMC3405545, DOI: 10.1002/ajmg.b.32047.Peer-Reviewed Original ResearchConceptsChromosome 3Genome-wide false discovery rateGene regionFalse discovery rateGenome-wide association analysisExpression quantitative trait loci (eQTL) analysisQuantitative trait locus (QTL) analysisRisk SNPsTranscript expressionGenome-wide association strategyGenome-wide searchCombined P valueSNP-disease associationsAssociation peakGenomic regionsEQTL analysisEuropean American casesCausal lociLocus analysisGene expressionAssociation analysisGenesSNPsRegulatory effectsDiscovery rate