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Genome-wide association study and functional characterization identifies candidate genes for insulin-stimulated glucose uptake.
Williamson A, Norris DM, Yin X, Broadaway KA, Moxley AH, Vadlamudi S, Wilson EP, Jackson AU, Ahuja V, Andersen MK, Arzumanyan Z, Bonnycastle LL, Bornstein SR, Bretschneider MP, Buchanan TA, Chang YC, Chuang LM, Chung RH, Clausen TD, Damm P, Delgado GE, de Mello VD, Dupuis J, Dwivedi OP, Erdos MR, Fernandes Silva L, Frayling TM, Gieger C, Goodarzi MO, Guo X, Gustafsson S, Hakaste L, Hammar U, Hatem G, Herrmann S, Højlund K, Horn K, Hsueh WA, Hung YJ, Hwu CM, Jonsson A, Kårhus LL, Kleber ME, Kovacs P, Lakka TA, Lauzon M, Lee IT, Lindgren CM, Lindström J, Linneberg A, Liu CT, Luan J, Aly DM, Mathiesen E, Moissl AP, Morris AP, Narisu N, Perakakis N, Peters A, Prasad RB, Rodionov RN, Roll K, Rundsten CF, Sarnowski C, Savonen K, Scholz M, Sharma S, Stinson SE, Suleman S, Tan J, Taylor KD, Uusitupa M, Vistisen D, Witte DR, Walther R, Wu P, Xiang AH, Zethelius B; Meta-Analysis of Glucose and Insulin-related Traits Consortium (MAGIC); Ahlqvist E, Bergman RN, Chen YI, Collins FS, Fall T, Florez JC, Fritsche A, Grallert H, Groop L, Hansen T, Koistinen HA, Komulainen P, Laakso M, Lind L, Loeffler M, März W, Meigs JB, Raffel LJ, Rauramaa R, Rotter JI, Schwarz PEH, Stumvoll M, Sundström J, Tönj… See abstract for full author list ➔ Williamson A, et al. Nat Genet. 2023 Jun;55(6):973-983. doi: 10.1038/s41588-023-01408-9. Epub 2023 Jun 8. Nat Genet. 2023. PMID: 37291194 Free PMC article.
Abstracts from the 3rd International Genomic Medicine Conference (3rd IGMC 2015) : Jeddah, Kingdom of Saudi Arabia. 30 November - 3 December 2015.
Shay JW, Homma N, Zhou R, Naseer MI, Chaudhary AG, Al-Qahtani M, Hirokawa N, Goudarzi M, Fornace AJ Jr, Baeesa S, Hussain D, Bangash M, Alghamdi F, Schulten HJ, Carracedo A, Khan I, Qashqari H, Madkhali N, Saka M, Saini KS, Jamal A, Al-Maghrabi J, Abuzenadah A, Chaudhary A, Al Qahtani M, Damanhouri G, Alkhatabi H, Goodeve A, Crookes L, Niksic N, Beauchamp N, Abuzenadah AM, Vaught J, Budowle B, Assidi M, Buhmeida A, Al-Maghrabi J, Buhmeida A, Assidi M, Merdad L, Kumar S, Miura S, Gomez K, Carracedo A, Rasool M, Rebai A, Karim S, Eldin HFN, Abusamra H, Alhathli EM, Salem N, Al-Qahtani MH, Kumar S, Faheem H, Agarwa A, Nieschlag E, Wistuba J, Damm OS, Beg MA, Abdel-Meguid TA, Mosli HA, Bajouh OS, Abuzenadah AM, Al-Qahtani MH, Coskun S, Abu-Elmagd M, Buhmeida A, Dallol A, Al-Maghrabi J, Hakamy S, Al-Qahtani W, Al-Harbi A, Hussain S, Assidi M, Al-Qahtani M, Abuzenadah A, Ozkosem B, DuBois R, Messaoudi SS, Dandana MT, Mahjoub T, Almawi WY, Abdalla S, Al-Aama MN, Elzawahry A, Takahashi T, Mimaki S, Furukawa E, Nakatsuka R, Kurosaka I, Nishigaki T, Nakamura H, Serada S, Naka T, Hirota S, Shibata T, Tsuchihara K, Nishida T, Kato M, Mehmood S, Ashraf NM, Asif A, Bilal M, Mehmood MS, Hussain … See abstract for full author list ➔ Shay JW, et al. BMC Genomics. 2016 Jul 20;17 Suppl 6(Suppl 6):487. doi: 10.1186/s12864-016-2858-0. BMC Genomics. 2016. PMID: 27454254 Free PMC article.
Abuzenadah O8 International biobanking in the era of precision medicine Jim Vaught O9 Biobank and biodata for clinical and forensic applications Bruce Budowle, Mourad Assidi, Abdelbaset Buhmeida O10 Tissue microarray technique: a powerful adjunct tool for molecular profiling of s …
Abuzenadah O8 International biobanking in the era of precision medicine Jim Vaught O9 Biobank and biodata for clinical and forensic applicat …
A randomised trial of anti-GM-CSF otilimab in severe COVID-19 pneumonia (OSCAR).
Patel J, Bass D, Beishuizen A, Bocca Ruiz X, Boughanmi H, Cahn A, Colombo H, Criner GJ, Davy K, de-Miguel-Díez J, Doreski PA, Fernandes S, François B, Gupta A, Hanrott K, Hatlen T, Inman D, Isaacs JD, Jarvis E, Kostina N, Kropotina T, Lacherade JC, Lakshminarayanan D, Martinez-Ayala P, McEvoy C, Meziani F, Monchi M, Mukherjee S, Muñoz-Bermúdez R, Neisen J, O'Shea C, Plantefeve G, Schifano L, Schwab LE, Shahid Z, Shirano M, Smith JE, Sprinz E, Summers C, Terzi N, Tidswell MA, Trefilova Y, Williamson R, Wyncoll D, Layton M. Patel J, et al. Eur Respir J. 2023 Feb 2;61(2):2101870. doi: 10.1183/13993003.01870-2021. Print 2023 Feb. Eur Respir J. 2023. PMID: 36229048 Free PMC article. Clinical Trial.
Pragmatic evaluation of events and benefits of lipid lowering in older adults (PREVENTABLE): Trial design and rationale.
Joseph J, Pajewski NM, Dolor RJ, Sellers MA, Perdue LH, Peeples SR, Henrie AM, Woolard N, Jones WS, Benziger CP, Orkaby AR, Mixon AS, VanWormer JJ, Shapiro MD, Kistler CE, Polonsky TS, Chatterjee R, Chamberlain AM, Forman DE, Knowlton KU, Gill TM, Newby LK, Hammill BG, Cicek MS, Williams NA, Decker JE, Ou J, Rubinstein J, Choudhary G, Gazmuri RJ, Schmader KE, Roumie CL, Vaughan CP, Effron MB, Cooper-DeHoff RM, Supiano MA, Shah RC, Whittle JC, Hernandez AF, Ambrosius WT, Williamson JD, Alexander KP; PREVENTABLE Trial Research Group. Joseph J, et al. J Am Geriatr Soc. 2023 Jun;71(6):1701-1713. doi: 10.1111/jgs.18312. Epub 2023 Apr 20. J Am Geriatr Soc. 2023. PMID: 37082807 Clinical Trial.
Quantifying crime associated with drug use among a large cohort of sanctioned offenders in England and Wales.
Pierce M, Hayhurst K, Bird SM, Hickman M, Seddon T, Dunn G, Millar T. Pierce M, et al. Drug Alcohol Depend. 2015 Oct 1;155:52-9. doi: 10.1016/j.drugalcdep.2015.08.018. Epub 2015 Sep 8. Drug Alcohol Depend. 2015. PMID: 26361712 Free PMC article.
The strongest associations were for non-serious acquisitive crimes (e.g. dually-positive: prostitution (women-only): aRR 24.9, 20.9-29.7; shoplifting: aRR men 4.05, 3.95-4.16; women 6.16, 5.92-6.41). ...
The strongest associations were for non-serious acquisitive crimes (e.g. dually-positive: prostitution (women-only): aRR 24.9, 20.9-2 …
Prediction and Classification of Alzheimer's Disease Based on Combined Features From Apolipoprotein-E Genotype, Cerebrospinal Fluid, MR, and FDG-PET Imaging Biomarkers.
Gupta Y, Lama RK, Kwon GR; Alzheimer's Disease Neuroimaging Initiative. Gupta Y, et al. Front Comput Neurosci. 2019 Oct 16;13:72. doi: 10.3389/fncom.2019.00072. eCollection 2019. Front Comput Neurosci. 2019. PMID: 31680923 Free PMC article.
In this paper, we propose a novel machine learning-based framework to discriminate subjects with AD or MCI utilizing a combination of four different biomarkers: fluorodeoxyglucose positron emission tomography (FDG-PET), structural magnetic resonance imaging (sMRI), cerebrospinal …
In this paper, we propose a novel machine learning-based framework to discriminate subjects with AD or MCI utilizing a combination of four d …