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3 results on '"John SK Kauwe"'

1. The Opioid Abuse Risk Screener predicts aberrant same-day urine drug tests and 1-year controlled substance database checks: A brief report

Author

Lynnette A Averill, Christopher L Averill, Lyndsay A Staley, JL Ozawa-Kirk, John SK Kauwe, and Patricia Henrie-Barrus

Subjects
Psychology, BF1-990
Abstract

The Opioid Abuse Risk Screener was developed to support well-informed decision-making in opioid analgesic prescribing by extending the breadth of psychiatric risk factors evaluated relative to other non–clinician-administered measures. We examined the preliminary predictive validity of the Opioid Abuse Risk Screener relative to the widely used Screener and Opioid Assessment for Patients with Pain–Revised in predicting aberrant urine drug tests and controlled substance database checks. The Opioid Abuse Risk Screener is significantly different from the Screener and Opioid Assessment for Patients with Pain–Revised in predicting aberrant same-day urine drug tests ( Z = 2.912, p = 0.0036) and controlled substance database checks within 1 year of assessment ( Z = 3.731, p = 0.0002). Promising preliminary analyses using machine learning methods are also discussed.

Published
2017
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2. Analysis of shared heritability in common disorders of the brain

Author

Erneri, Anttila, Brendan, Bulik-Sullivan, Hilary, K Finucane, Raymond, K Walters, Jose, Bras, Laramie, Duncan, Valentina, Escott-Price, Guido, J Falcone, Padhraig, Gormley, Rainer, Malik, Nikolaos, A Patsopoulos, Stephan, Ripke, Zhi, Wei, Dongmei, Yu, Phil, H Lee, Patrick, Turley, Benjamin, Grenier-Boley, Vincent, Chouraki, Yoichiro, Kamatani, Claudine, Berr, Luc, Letenneur, Didier, Hannequin, Philippe, Amouyel, Anne, Boland, Jean-Francois, Deleuze, Emmanuelle, Duron, Badri, N Vardarajan, Christiane, Reitz, Alison, M Goate, Matthew, J Huentelman, M Ilyas Kamboh, Eric, B Larson, Ekaterina, Rogaeva, Peter St George-Hyslop, Hakon, Hakonarson, Walter, A Kukull, Lindsay, A Farrer, Lisa, L Barnes, Thomas, G Beach, F Yesim Demirci, Elizabeth, Head, Christine, M Hulette, Gregory, A Jicha, John SK Kauwe, Jeffrey, A Kaye, James, B Leverenz, Allan, I Levey, Andrew, P Lieberman, Vernon, S Pankratz, Wayne, W Poon, Joseph, F Quinn, Andrew, J Saykin, Lon, S Schneider, Amanda, G Smith, Joshua, A Sonnen, Robert, A Stern, Vivianna, M Van Deerlin, Linda, J Van Eldik, Denise, Harold, Giancarlo, Russo, David, C Rubinsztein, Anthony, Bayer, Magda, Tsolaki, Petra, Proitsi, Nick, C Fox, Harald, Hampel, Michael, J Owen, Simon, Mead, Peter, Passmore, Kevin, Morgan, Markus, M Nöthen, Jonathan, M Schott, Martin, Rossor, Michelle, K Lupton, Per, Hoffmann, Johannes, Kornhuber, Brian, Lawlor, Andrew, Mcquillin, Ammar, Al-Chalabi, Joshua, C Bis, Agustin, Ruiz, Mercè, Boada, Sudha, Seshadri, Alexa, Beiser, Kenneth, Rice, Sven, J van der Lee, Philip, L De Jager, Daniel, H Geschwind, Matthias, Riemenschneider, Steffi, Riedel-Heller, Jerome, I Rotter, Gerhard, Ransmayr, Bradley, T Hyman, Carlos, Cruchaga, Montserrat, Alegret, Bendik, Winsvold, Priit, Palta, Kai-How, Farh, Ester, Cuenca-Leon, Nicholas, Furlotte, Tobias, Kurth, Lannie, Ligthart, Gisela, M Terwindt, Tobias, Freilinger, Caroline, Ran, Scott, D Gordon, Guntram, Borck, Hieab HH Adams, Terho, Lehtimäki, Juho, Wedenoja, Julie, E Buring, Markus, Schürks, Maria, Hrafnsdottir, Jouke-Jan, Hottenga, Brenda, Penninx, Ville, Artto, Mari, Kaunisto, Salli, Vepsäläinen, Nicholas, G Martin, Grant, W Montgomery, Mitja, I Kurki, Eija, Hämäläinen, Hailiang, Huang, Jie, Huang, Cynthia, Sandor, Striano, Pasquale, Zara, Federico, Caleb, Webber, Bertram, Muller-Myhsok, Stefan, Schreiber, Veikko, Salomaa, Elizabeth, Loehrer, Hartmut, Göbel, Alfons, Macaya, Patricia, Pozo-Rosich, Thomas, Hansen, Thomas, Werge, Jaakko, Kaprio, Andres, Metspalu, Christian, Kubisch, Michel, D Ferrari, Andrea, C Belin, Arn MJM van den Maagdenberg, John-Anker, Zwart, Dorret, Boomsma, Nicholas, Eriksson, Jes, Olesen, Daniel, I Chasman, Dale, R Nyholt, Richard, Anney, Andreja, Avbersek, and Larry, Baum

Subjects
Brain Diseases, Quantitative Trait, Phenotype, Risk Factors, Mental Disorders, Genetic Variation, Humans, Genome-Wide Association Study, Quantitative Trait, Heritable, Heritable
Published
2018

3. Haplotype-based association analysis of the MAPT locus in Late Onset Alzheimer's disease.

Author

Odity Mukherjee, John SK Kauwe, Kevin Mayo, John C Morris, and Alison M Goate

Subjects
*ALZHEIMER'S disease, *AMYLOID, *HOMOPLASY, *DISEASES in older people, *HEALTH of older people
Abstract

Background: Late onset Alzheimer's disease (LOAD) is a common sporadic form of the illness, affecting individuals above the age of 65 yrs. A prominent hypothesis for the aetiopathology of Alzheimer's disease is that in the presence of a β-amyloid load, individuals expressing a pathogenic form of tau protein (MAPT) are at increased risk for developing the disease. Genetic studies in this pursuit have, however, yielded conflicting results. A recent study showed a significant haplotype association (H1c) with AD. The current study is an attempt to replicate this association in an independently ascertained cohort. Results: In this report we present the findings of a haplotype analysis at the MAPT locus. We failed to detect evidence of association of the H1c haplotype at the MAPT locus with LOAD. None of the six SNPs forming the H1c haplotype showed evidence of association with disease. In addition, nested clade analysis suggested the presence of independent mutations at multiple points in the haplotype network or homoplasy at the MAPT locus. Such homoplasy can confound single SNP tests for association. We do not detect evidence that the set of SNPs forming the H1c haplotype in general or rs242557 in particular are pathogenic for LOAD. Conclusion:In conclusion, we employed two contemporary haplotype analysis tools to perform haplotype association analysis at the MAPT locus. Our data suggest that the tagged SNPs forming the H1c haplotype do not have a causal role in the pathogenesis of LOAD. [ABSTRACT FROM AUTHOR]

Published
2007
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