2020
Position-Dependent Differential Targeting of Somatic Hypermutation
Zhou JQ, Kleinstein SH. Position-Dependent Differential Targeting of Somatic Hypermutation. The Journal Of Immunology 2020, 205: 3468-3479. PMID: 33188076, PMCID: PMC7726104, DOI: 10.4049/jimmunol.2000496.Peer-Reviewed Original ResearchConceptsSomatic hypermutationSHM targetingIg sequencesSame DNA motifTranscription start siteAllele-specific effectsInfluence of selectionGene familyVariable gene familiesDNA motifsSequence neighborhoodError-prone repairStart siteAb diversityDNA lesionsDifferential targetingUnique motifMotifSequenceTargetingHypermutationEffective humoral immunityIntrinsic biasesAffinity maturationLarge collection
2019
Functional analysis and fine mapping of the 9p22.2 ovarian cancer susceptibility locus
Buckley MA, Woods NT, Tyrer JP, Mendoza-Fandiño G, Lawrenson K, Hazelett DJ, Najafabadi HS, Gjyshi A, Carvalho RS, Lyra PC, Coetzee SG, Shen HC, Yang AW, Earp MA, Yoder S, Risch H, Chenevix-Trench G, Ramus SJ, Phelan CM, Coetzee GA, Noushmehr H, Hughes TR, Sellers TA, Goode EL, Pharoah P, Gayther SA, Monteiro A. Functional analysis and fine mapping of the 9p22.2 ovarian cancer susceptibility locus. Cancer Research 2019, 79: canres.3864.2017. PMID: 30487138, PMCID: PMC6359979, DOI: 10.1158/0008-5472.can-17-3864.Peer-Reviewed Original ResearchMeSH KeywordsBase SequenceCarcinoma, Ovarian EpithelialCell Cycle ProteinsCell Line, TumorChromosome MappingChromosomes, Human, Pair 9Cystadenocarcinoma, SerousDNA-Binding ProteinsDNA, NeoplasmFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHEK293 CellsHumansLinkage DisequilibriumOvarian NeoplasmsPolymorphism, Single NucleotideConceptsScaffold/matrix attachment regionsMatrix attachment regionsTarget genesAttachment regionsOvarian cancer susceptibility lociGenome-wide association studiesCancer risk lociLikely target genesTranscriptional regulatory elementsAllele-specific effectsDownstream target genesLikely causal variantsCancer susceptibility lociCandidate causal SNPsFine mappingRegulatory elementsLoci identifiesCausal variantsRisk lociCausal SNPsFunctional analysisAssociation studiesCancer risk genesSusceptibility lociRisk genes
2014
Imputation and subset-based association analysis across different cancer types identifies multiple independent risk loci in the TERT-CLPTM1L region on chromosome 5p15.33
Wang Z, Zhu B, Zhang M, Parikh H, Jia J, Chung CC, Sampson JN, Hoskins JW, Hutchinson A, Burdette L, Ibrahim A, Hautman C, Raj PS, Abnet CC, Adjei AA, Ahlbom A, Albanes D, Allen NE, Ambrosone CB, Aldrich M, Amiano P, Amos C, Andersson U, Andriole G, Andrulis IL, Arici C, Arslan AA, Austin MA, Baris D, Barkauskas DA, Bassig BA, Beane Freeman LE, Berg CD, Berndt SI, Bertazzi PA, Biritwum RB, Black A, Blot W, Boeing H, Boffetta P, Bolton K, Boutron-Ruault MC, Bracci PM, Brennan P, Brinton LA, Brotzman M, Bueno-de-Mesquita HB, Buring JE, Butler MA, Cai Q, Cancel-Tassin G, Canzian F, Cao G, Caporaso NE, Carrato A, Carreon T, Carta A, Chang GC, Chang IS, Chang-Claude J, Che X, Chen CJ, Chen CY, Chen CH, Chen C, Chen KY, Chen YM, Chokkalingam AP, Chu LW, Clavel-Chapelon F, Colditz GA, Colt JS, Conti D, Cook MB, Cortessis VK, Crawford ED, Cussenot O, Davis FG, De Vivo I, Deng X, Ding T, Dinney CP, Di Stefano AL, Diver WR, Duell EJ, Elena JW, Fan JH, Feigelson HS, Feychting M, Figueroa JD, Flanagan AM, Fraumeni JF, Freedman ND, Fridley BL, Fuchs CS, Gago-Dominguez M, Gallinger S, Gao YT, Gapstur SM, Garcia-Closas M, Garcia-Closas R, Gastier-Foster JM, Gaziano JM, Gerhard DS, Giffen CA, Giles GG, Gillanders EM, Giovannucci EL, Goggins M, Gokgoz N, Goldstein AM, Gonzalez C, Gorlick R, Greene MH, Gross M, Grossman HB, Grubb R, Gu J, Guan P, Haiman CA, Hallmans G, Hankinson SE, Harris CC, Hartge P, Hattinger C, Hayes RB, He Q, Helman L, Henderson BE, Henriksson R, Hoffman-Bolton J, Hohensee C, Holly EA, Hong YC, Hoover RN, Hosgood HD, Hsiao CF, Hsing AW, Hsiung CA, Hu N, Hu W, Hu Z, Huang MS, Hunter DJ, Inskip PD, Ito H, Jacobs EJ, Jacobs KB, Jenab M, Ji BT, Johansen C, Johansson M, Johnson A, Kaaks R, Kamat AM, Kamineni A, Karagas M, Khanna C, Khaw KT, Kim C, Kim IS, Kim JH, Kim YH, Kim YC, Kim YT, Kang CH, Jung YJ, Kitahara CM, Klein AP, Klein R, Kogevinas M, Koh WP, Kohno T, Kolonel LN, Kooperberg C, Kratz CP, Krogh V, Kunitoh H, Kurtz RC, Kurucu N, Lan Q, Lathrop M, Lau CC, Lecanda F, Lee KM, Lee MP, Le Marchand L, Lerner SP, Li D, Liao LM, Lim WY, Lin D, Lin J, Lindstrom S, Linet MS, Lissowska J, Liu J, Ljungberg B, Lloreta J, Lu D, Ma J, Malats N, Mannisto S, Marina N, Mastrangelo G, Matsuo K, McGlynn KA, McKean-Cowdin R, McNeill LH, McWilliams RR, Melin BS, Meltzer PS, Mensah JE, Miao X, Michaud DS, Mondul AM, Moore LE, Muir K, Niwa S, Olson SH, Orr N, Panico S, Park JY, Patel AV, Patino-Garcia A, Pavanello S, Peeters PH, Peplonska B, Peters U, Petersen GM, Picci P, Pike MC, Porru S, Prescott J, Pu X, Purdue MP, Qiao YL, Rajaraman P, Riboli E, Risch HA, Rodabough RJ, Rothman N, Ruder AM, Ryu JS, Sanson M, Schned A, Schumacher FR, Schwartz AG, Schwartz KL, Schwenn M, Scotlandi K, Seow A, Serra C, Serra M, Sesso HD, Severi G, Shen H, Shen M, Shete S, Shiraishi K, Shu XO, Siddiq A, Sierrasesumaga L, Sierri S, Loon Sihoe AD, Silverman DT, Simon M, Southey MC, Spector L, Spitz M, Stampfer M, Stattin P, Stern MC, Stevens VL, Stolzenberg-Solomon RZ, Stram DO, Strom SS, Su WC, Sund M, Sung SW, Swerdlow A, Tan W, Tanaka H, Tang W, Tang ZZ, Tardon A, Tay E, Taylor PR, Tettey Y, Thomas DM, Tirabosco R, Tjonneland A, Tobias GS, Toro JR, Travis RC, Trichopoulos D, Troisi R, Truelove A, Tsai YH, Tucker MA, Tumino R, Van Den Berg D, Van Den Eeden SK, Vermeulen R, Vineis P, Visvanathan K, Vogel U, Wang C, Wang C, Wang J, Wang SS, Weiderpass E, Weinstein SJ, Wentzensen N, Wheeler W, White E, Wiencke JK, Wolk A, Wolpin BM, Wong MP, Wrensch M, Wu C, Wu T, Wu X, Wu YL, Wunder JS, Xiang YB, Xu J, Yang HP, Yang PC, Yatabe Y, Ye Y, Yeboah ED, Yin Z, Ying C, Yu CJ, Yu K, Yuan JM, Zanetti KA, Zeleniuch-Jacquotte A, Zheng W, Zhou B, Mirabello L, Savage SA, Kraft P, Chanock SJ, Yeager M, Landi MT, Shi J, Chatterjee N, Amundadottir LT. Imputation and subset-based association analysis across different cancer types identifies multiple independent risk loci in the TERT-CLPTM1L region on chromosome 5p15.33. Human Molecular Genetics 2014, 23: 6616-6633. PMID: 25027329, PMCID: PMC4240198, DOI: 10.1093/hmg/ddu363.Peer-Reviewed Original ResearchMeSH KeywordsAllelesChromosomes, Human, Pair 5Computational BiologyDNA MethylationEpigenesis, GeneticFemaleGene Expression Regulation, NeoplasticGene FrequencyGenetic LociGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMaleMembrane ProteinsNeoplasm ProteinsNeoplasmsOdds RatioPolymorphism, Single NucleotideRiskTelomeraseConceptsGenome-wide association studiesIndependent risk lociRisk lociCLPTM1L geneSequential conditional analysesTERT-CLPTM1L regionAllele-specific effectsDistinct cancersCommon susceptibility allelesCancer susceptibility lociTelomerase reverse transcriptaseCommon single nucleotide polymorphismsGenetic architectureCatalytic subunitSingle nucleotide polymorphismsDNA methylationIndependent lociExtensive pleiotropyGene expressionAssociation studiesAssociation analysisSusceptibility lociDifferent cancer typesLociTERT gene
This site is protected by hCaptcha and its Privacy Policy and Terms of Service apply