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Adare A, Afanasiev S, Aidala C, Ajitanand NN, Akiba Y, Akimoto R, Al-Bataineh H, Alexander J, Alfred M, Al-Jamel A, Al-Ta'ani H, Angerami A, Aoki K, Apadula N, Aphecetche L, Aramaki Y, Armendariz R, Aronson SH, Asai J, Asano H, Aschenauer EC, Atomssa ET, Averbeck R, Awes TC, Azmoun B, Babintsev V, Bagoly A, Bai M, Baksay G, Baksay L, Baldisseri A, Bannier B, Barish KN, Barnes PD, Bassalleck B, Basye AT, Bathe S, Batsouli S, Baublis V, Bauer F, Baumann C, Baumgart S, Bazilevsky A, Belikov S, Belmont R, Bennett R, Berdnikov A, Berdnikov Y, Bhom JH, Bickley AA, Bjorndal MT, Blau DS, Boer M, Boissevain JG, Bok JS, Borel H, Boyle K, Brooks ML, Brown DS, Bryslawskyj J, Bucher D, Buesching H, Bumazhnov V, Bunce G, Burward-Hoy JM, Butsyk S, Camacho CM, Campbell S, Canoa Roman V, Caringi A, Castera P, Chai JS, Chang BS, Chang WC, Charvet JL, Chen CH, Chernichenko S, Chi CY, Chiba J, Chiu M, Choi IJ, Choi JB, Choi S, Choudhury RK, Christiansen P, Chujo T, Chung P, Churyn A, Chvala O, Cianciolo V, Citron Z, Cleven CR, Cobigo Y, Cole BA, Comets MP, Conesa Del Valle Z, Connors M, Constantin P, Csanád M, Csörgő T, Dahms T, Dairaku S, Danchev I, Danley TW, Das K, Datta A, Daugherity MS, David G, Dayananda MK, Deaton MB, Dehmelt K, Delagrange H, Denisov A, d'Enterria D, Deshpande A, Desmond EJ, Dharmawardane KV, Dietzsch O, Ding L, Dion A, Do JH, Donadelli M, D'Orazio L, Drachenberg JL, Drapier O, Drees A, Drees KA, Dubey AK, Durham JM, Durum A, Dutta D, Dzhordzhadze V, Edwards S, Efremenko YV, Egdemir J, Ellinghaus F, Emam WS, Engelmore T, Enokizono A, En'yo H, Espagnon B, Esumi S, Eyser KO, Fadem B, Fan W, Feege N, Fields DE, Finger M, Finger M, Fleuret F, Fokin SL, Forestier B, Fraenkel Z, Frantz JE, Franz A, Frawley AD, Fujiwara K, Fukao Y, Fung SY, Fusayasu T, Gadrat S, Gainey K, Gal C, Gallus P, Garg P, Garishvili A, Garishvili I, Gastineau F, Ge H, Germain M, Glenn A, Gong H, Gong X, Gonin M, Gosset J, Goto Y, Granier de Cassagnac R, Grau N, Greene SV, Grim G, Grosse Perdekamp M, Gunji T, Guo L, Gustafsson HÅ, Hachiya T, Hadj Henni A, Haegemann C, Haggerty JS, Hagiwara MN, Hahn KI, Hamagaki H, Hamblen J, Han R, Hanks J, Harada H, Hartouni EP, Haruna K, Harvey M, Hasegawa S, Haseler TOS, Hashimoto K, Haslum E, Hasuko K, Hayano R, He X, Heffner M, Hemmick TK, Hester T, Heuser JM, Hiejima H, Hill JC, Hill K, Hobbs R, Hodges A, Hohlmann M, Hollis RS, Holmes M, Holzmann W, Homma K, Hong B, Horaguchi T, Hori Y, Hornback D, Hotvedt N, Huang J, Huang S, Hur MG, Ichihara T, Ichimiya R, Iinuma H, Ikeda Y, Imai K, Imrek J, Inaba M, Inoue Y, Iordanova A, Isenhower D, Isenhower L, Ishihara M, Isobe T, Issah M, Isupov A, Ivanishchev D, Iwanaga Y, Jacak BV, Javani M, Ji Z, Jia J, Jiang X, Jin J, Jinnouchi O, Johnson BM, Jones T, Joo KS, Jouan D, Jumper DS, Kajihara F, Kametani S, Kamihara N, Kamin J, Kaneta M, Kaneti S, Kang BH, Kang JH, Kang JS, Kanou H, Kapustinsky J, Karatsu K, Kasai M, Kawagishi T, Kawall D, Kawashima M, Kazantsev AV, Kelly S, Kempel T, Khachatryan V, Khanzadeev A, Kijima KM, Kikuchi J, Kim A, Kim BI, Kim C, Kim DH, Kim DJ, Kim E, Kim EJ, Kim HJ, Kim KB, Kim M, Kim SH, Kim YJ, Kim YK, Kim YS, Kincses D, Kinney E, Kiriluk K, Kiss Á, Kistenev E, Kiyomichi A, Klatsky J, Klay J, Klein-Boesing C, Kleinjan D, Kline P, Kochenda L, Kochetkov V, Komatsu Y, Komkov B, Konno M, Koster J, Kotchetkov D, Kotov D, Kozlov A, Král A, Kravitz A, Krizek F, Kroon PJ, Kubart J, Kunde GJ, Kurgyis B, Kurihara N, Kurita K, Kurosawa M, Kweon MJ, Kwon Y, Kyle GS, Lacey R, Lai YS, Lajoie JG, Layton D, Lebedev A, Le Bornec Y, Leckey S, Lee B, Lee DM, Lee J, Lee KB, Lee KS, Lee MK, Lee SH, Lee SR, Lee T, Leitch MJ, Leite MAL, Leitgab M, Lenzi B, Leung YH, Lewis B, Lewis NA, Li X, Li X, Li XH, Lichtenwalner P, Liebing P, Lim H, Lim SH, Linden Levy LA, Liška T, Litvinenko A, Liu H, Liu MX, Lökös S, Love B, Lynch D, Maguire CF, Majoros T, Makdisi YI, Makek M, Malakhov A, Malik MD, Manion A, Manko VI, Mannel E, Mao Y, Mašek L, Masui H, Masumoto S, Matathias F, McCain MC, McCumber M, McGaughey PL, McGlinchey D, McKinney C, Means N, Mendoza M, Meredith B, Miake Y, Mibe T, Mignerey AC, Mihalik DE, Mikeš P, Miki K, Miller TE, Milov A, Mioduszewski S, Mishra DK, Mishra GC, Mishra M, Mitchell JT, Mitrovski M, Mitsuka G, Miyachi Y, Miyasaka S, Mohanty AK, Mohapatra S, Moon HJ, Moon T, Morino Y, Morreale A, Morrison DP, Morrow SI, Moss JM, Motschwiller S, Moukhanova TV, Mukhopadhyay D, Murakami T, Murata J, Mwai A, Nagae T, Nagamiya S, Nagashima K, Nagata Y, Nagle JL, Naglis M, Nagy MI, Nakagawa I, Nakamiya Y, Nakamura KR, Nakamura T, Nakano K, Nam S, Nattrass C, Nederlof A, Newby J, Nguyen M, Nihashi M, Niida T, Norman BE, Nouicer R, Novák T, Novitzky N, Nyanin AS, Nystrand J, Oakley C, O'Brien E, Oda SX, Ogilvie CA, Ohnishi H, Ojha ID, Oka M, Okada K, Omiwade OO, Onuki Y, Orjuela Koop JD, Osborn JD, Oskarsson A, Otterlund I, Ouchida M, Ozawa K, Pak R, Pal D, Palounek APT, Pantuev V, Papavassiliou V, Park BH, Park IH, Park J, Park S, Park SK, Park WJ, Pate SF, Patel L, Patel M, Pei H, Peng JC, Peng W, Pereira H, Perepelitsa DV, Peresedov V, Peressounko DY, PerezLara CE, Petti R, Pinkenburg C, Pisani RP, Proissl M, Purschke ML, Purwar AK, Qu H, Radzevich PV, Rak J, Rakotozafindrabe A, Ravinovich I, Read KF, Rembeczki S, Reuter M, Reygers K, Reynolds D, Riabov V, Riabov Y, Richardson E, Richford D, Rinn T, Roach D, Roche G, Rolnick SD, Romana A, Rosati M, Rosen CA, Rosendahl SSE, Rosnet P, Rowan Z, Rukoyatkin P, Runchey J, Ružička P, Rykov VL, Ryu SS, Sahlmueller B, Saito N, Sakaguchi T, Sakai S, Sakashita K, Sakata H, Sako H, Samsonov V, Sano M, Sano S, Sarsour M, Sato HD, Sato S, Sato T, Sawada S, Schmoll BK, Sedgwick K, Seele J, Seidl R, Semenov AY, Semenov V, Sen A, Seto R, Sharma D, Shea TK, Shein I, Shevel A, Shibata TA, Shigaki K, Shimomura M, Shohjoh T, Shoji K, Shukla P, Sickles A, Silva CL, Silvermyr D, Silvestre C, Sim KS, Singh BK, Singh CP, Singh V, Skoby MJ, Skutnik S, Slunečka M, Smith WC, Soldatov A, Soltz RA, Sondheim WE, Sorensen SP, Sourikova IV, Staley F, Stankus PW, Stenlund E, Stepanov M, Ster A, Stoll SP, Sugitate T, Suire C, Sukhanov A, Sullivan JP, Sun J, Sun Z, Sziklai J, Tabaru T, Takagi S, Takagui EM, Takahara A, Taketani A, Tanabe R, Tanaka KH, Tanaka Y, Taneja S, Tanida K, Tannenbaum MJ, Tarafdar S, Taranenko A, Tarján P, Tennant E, Themann H, Thomas D, Thomas TL, Tieulent R, Todoroki T, Togawa M, Toia A, Tojo J, Tomášek L, Tomášek M, Tomita Y, Torii H, Towell RS, Tram VN, Tserruya I, Tsuchimoto Y, Tsuji T, Tuli SK, Tydesjö H, Tyurin N, Ueda Y, Ujvari B, Vale C, Valle H, van Hecke HW, Vargyas M, Vazquez-Zambrano E, Veicht A, Velkovska J, Vértesi R, Vinogradov AA, Virius M, Vossen A, Vrba V, Vznuzdaev E, Wagner M, Walker D, Wang XR, Watanabe D, Watanabe K, Watanabe Y, Watanabe YS, Wei F, Wei R, Wessels J, White SN, Willis N, Winter D, Wolin S, Wong CP, Woody CL, Wright RM, Wysocki M, Xia B, Xie W, Xu C, Xu Q, Yamaguchi YL, Yamaura K, Yang R, Yanovich A, Yasin Z, Ying J, Yokkaichi S, Yoo JH, You Z, Young GR, Younus I, Yu H, Yushmanov IE, Zajc WA, Zaudtke O, Zelenski A, Zhang C, Zharko S, Zhou S, Zimamyi J, Zolin L, Zou L. Beam Energy and Centrality Dependence of Direct-Photon Emission from Ultrarelativistic Heavy-Ion Collisions. PHYSICAL REVIEW LETTERS 2019; 123:022301. [PMID: 31386493 DOI: 10.1103/physrevlett.123.022301] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/15/2018] [Revised: 04/27/2019] [Indexed: 06/10/2023]
Abstract
The PHENIX collaboration presents first measurements of low-momentum (0.4<p_{T}<3 GeV/c) direct-photon yields from Au+Au collisions at sqrt[s_{NN}]=39 and 62.4 GeV. For both beam energies the direct-photon yields are substantially enhanced with respect to expectations from prompt processes, similar to the yields observed in Au+Au collisions at sqrt[s_{NN}]=200. Analyzing the photon yield as a function of the experimental observable dN_{ch}/dη reveals that the low-momentum (>1 GeV/c) direct-photon yield dN_{γ}^{dir}/dη is a smooth function of dN_{ch}/dη and can be well described as proportional to (dN_{ch}/dη)^{α} with α≈1.25. This scaling behavior holds for a wide range of beam energies at the Relativistic Heavy Ion Collider and the Large Hadron Collider, for centrality selected samples, as well as for different A+A collision systems. At a given beam energy, the scaling also holds for high p_{T} (>5 GeV/c), but when results from different collision energies are compared, an additional sqrt[s_{NN}]-dependent multiplicative factor is needed to describe the integrated-direct-photon yield.
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P, Dinning L, Rahman S, Ray S, Dimicri C, Guppy S, Nielsen H, Vogel C, Ariza C, Morales L, Chang Y, Gabbay R, Ambrocio L, Manley L, Nemery R, Charlton W, Smith P, Kerr L, Steindel-Kopp B, Alamaguer M, Tabisola-Nuesca E, Pendersen A, Larson N, Cooper-Olviver H, Chan D, Fitz-Patrick D, Carreira T, Park Y, Ruhaak R, Liljenquist D. A Type 1 Diabetes Genetic Risk Score Predicts Progression of Islet Autoimmunity and Development of Type 1 Diabetes in Individuals at Risk. Diabetes Care 2018; 41:1887-1894. [PMID: 30002199 PMCID: PMC6105323 DOI: 10.2337/dc18-0087] [Citation(s) in RCA: 94] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2018] [Accepted: 06/06/2018] [Indexed: 02/03/2023]
Abstract
OBJECTIVE We tested the ability of a type 1 diabetes (T1D) genetic risk score (GRS) to predict progression of islet autoimmunity and T1D in at-risk individuals. RESEARCH DESIGN AND METHODS We studied the 1,244 TrialNet Pathway to Prevention study participants (T1D patients' relatives without diabetes and with one or more positive autoantibodies) who were genotyped with Illumina ImmunoChip (median [range] age at initial autoantibody determination 11.1 years [1.2-51.8], 48% male, 80.5% non-Hispanic white, median follow-up 5.4 years). Of 291 participants with a single positive autoantibody at screening, 157 converted to multiple autoantibody positivity and 55 developed diabetes. Of 953 participants with multiple positive autoantibodies at screening, 419 developed diabetes. We calculated the T1D GRS from 30 T1D-associated single nucleotide polymorphisms. We used multivariable Cox regression models, time-dependent receiver operating characteristic curves, and area under the curve (AUC) measures to evaluate prognostic utility of T1D GRS, age, sex, Diabetes Prevention Trial-Type 1 (DPT-1) Risk Score, positive autoantibody number or type, HLA DR3/DR4-DQ8 status, and race/ethnicity. We used recursive partitioning analyses to identify cut points in continuous variables. RESULTS Higher T1D GRS significantly increased the rate of progression to T1D adjusting for DPT-1 Risk Score, age, number of positive autoantibodies, sex, and ethnicity (hazard ratio [HR] 1.29 for a 0.05 increase, 95% CI 1.06-1.6; P = 0.011). Progression to T1D was best predicted by a combined model with GRS, number of positive autoantibodies, DPT-1 Risk Score, and age (7-year time-integrated AUC = 0.79, 5-year AUC = 0.73). Higher GRS was significantly associated with increased progression rate from single to multiple positive autoantibodies after adjusting for age, autoantibody type, ethnicity, and sex (HR 2.27 for GRS >0.295, 95% CI 1.47-3.51; P = 0.0002). CONCLUSIONS The T1D GRS independently predicts progression to T1D and improves prediction along T1D stages in autoantibody-positive relatives.
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