 Connection
Gareth Morgan to Genome, Human
This is a "connection" page, showing publications Gareth Morgan has written about Genome, Human.
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Connection Strength |
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1.270 |
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Walker BA, Mavrommatis K, Wardell CP, Ashby TC, Bauer M, Davies F, Rosenthal A, Wang H, Qu P, Hoering A, Samur M, Towfic F, Ortiz M, Flynt E, Yu Z, Yang Z, Rozelle D, Obenauer J, Trotter M, Auclair D, Keats J, Bolli N, Fulciniti M, Szalat R, Moreau P, Durie B, Stewart AK, Goldschmidt H, Raab MS, Einsele H, Sonneveld P, San Miguel J, Lonial S, Jackson GH, Anderson KC, Avet-Loiseau H, Munshi N, Thakurta A, Morgan G. A high-risk, Double-Hit, group of newly diagnosed myeloma identified by genomic analysis. Leukemia. 2019 01; 33(1):159-170.
Score: 0.465
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Morgan GJ, Jones JR. Integration of Genomics Into Treatment: Are We There Yet? Am Soc Clin Oncol Educ Book. 2017; 37:569-574.
Score: 0.419
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Oben B, Froyen G, Maclachlan KH, Leongamornlert D, Abascal F, Zheng-Lin B, Yellapantula V, Derkach A, Geerdens E, Diamond BT, Arijs I, Maes B, Vanhees K, Hultcrantz M, Manasanch EE, Kazandjian D, Lesokhin A, Dogan A, Zhang Y, Mikulasova A, Walker B, Morgan G, Campbell PJ, Landgren O, Rummens JL, Bolli N, Maura F. Whole-genome sequencing reveals progressive versus stable myeloma precursor conditions as two distinct entities. Nat Commun. 2021 03 25; 12(1):1861.
Score: 0.141
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Mitchell JS, Johnson DC, Litchfield K, Broderick P, Weinhold N, Davies FE, Gregory WA, Jackson GH, Kaiser M, Morgan GJ, Houlston RS. Implementation of genome-wide complex trait analysis to quantify the heritability in multiple myeloma. Sci Rep. 2015 Jul 24; 5:12473.
Score: 0.095
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Maura F, Kaddoura M, Poos AM, Baughn LB, Ziccheddu B, Bärtsch MA, Cirrincione A, Maclachlan K, Chojnacka M, Diamond B, Papadimitriou M, Blaney P, John L, Reichert P, Huhn S, Gagler D, Zhang Y, Dogan A, Lesokhin AM, Davies F, Goldschmidt H, Fenk R, Weisel KC, Mai EK, Korde N, Morgan GJ, Rajkumar SV, Kumar S, Usmani S, Landgren O, Raab MS, Weinhold N. Temporal genomic dynamics shape clinical trajectory in multiple myeloma. Nat Genet. 2025 Sep; 57(9):2203-2214.
Score: 0.048
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Alberge JB, Dutta AK, Poletti A, Coorens THH, Lightbody ED, Toenges R, Loinaz X, Wallin S, Dunford A, Priebe O, Dagan J, Boehner CJ, Horowitz E, Su NK, Barr H, Hevenor L, Towle K, Beesam R, Beckwith JB, Perry J, Cordas Dos Santos DM, Bertamini L, Greipp PT, Kübler K, Arndt PF, Terragna C, Zamagni E, Boyle EM, Yong K, Morgan G, Walker BA, Dimopoulos MA, Kastritis E, Hess J, Sklavenitis-Pistofidis R, Stewart C, Getz G, Ghobrial IM. Genomic landscape of multiple myeloma and its precursor conditions. Nat Genet. 2025 Jun; 57(6):1493-1503.
Score: 0.047
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Boyle EM, Deshpande S, Tytarenko R, Ashby C, Wang Y, Bauer MA, Johnson SK, Wardell CP, Thanendrarajan S, Zangari M, Facon T, Dumontet C, Barlogie B, Arbini A, Rustad EH, Maura F, Landgren O, Zhan F, van Rhee F, Schinke C, Davies FE, Morgan GJ, Walker BA. The molecular make up of smoldering myeloma highlights the evolutionary pathways leading to multiple myeloma. Nat Commun. 2021 01 12; 12(1):293.
Score: 0.035
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Weinhold N, Johnson DC, Chubb D, Chen B, Försti A, Hosking FJ, Broderick P, Ma YP, Dobbins SE, Hose D, Walker BA, Davies FE, Kaiser MF, Li NL, Gregory WA, Jackson GH, Witzens-Harig M, Neben K, Hoffmann P, Nöthen MM, Mühleisen TW, Eisele L, Ross FM, Jauch A, Goldschmidt H, Houlston RS, Morgan GJ, Hemminki K. The CCND1 c.870G>A polymorphism is a risk factor for t(11;14)(q13;q32) multiple myeloma. Nat Genet. 2013 May; 45(5):522-525.
Score: 0.020
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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