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    المصدر: Genes; Volume 11; Issue 11; Pages: 1273

    جغرافية الموضوع: agris

    وصف الملف: application/pdf

    Relation: Human Genomics and Genetic Diseases; https://dx.doi.org/10.3390/genes11111273

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    المساهمون: Clinicum, Department of Psychiatry, HUS Psychiatry

    وصف الملف: application/pdf

    Relation: This research is supported by the Australian National Health and Medical Research Council (1080157, 1087889) and the Australian Research Council (DP160102126, FT160100229). This research has been conducted using the UK Biobank Resource. UK Biobank Research Ethics Committee (REC) approval number is 11/NW/0382. Our reference number approved by UK Biobank is 14575. GERA data came from a grant, the Resource for Genetic Epidemiology Research in Adult Health and Aging (RC2 AG033067; Schaefer and Risch, PIs) awarded to the Kaiser Permanente Research Program on Genes, Environment, and Health (RPGEH) and the UCSF Institute for Human Genetics. The RPGEH was supported by grants from the Robert Wood Johnson Foundation, the Wayne and Gladys Valley Foundation, the Ellison Medical Foundation, Kaiser Permanente Northern California, and the Kaiser Permanente National and Northern California Community Benefit Programs. The RPGEH and the Resource for Genetic Epidemiology Research in Adult Health and Aging are described in the GERA website (see Web Resources). This study makes use of data generated by the Wellcome Trust Case-Control Consortium. A full list of the investigators who contributed to the generation of the WTCCC data is available online. Funding for the WTCCC project was provided by the Wellcome Trust under awards 076113, 085475, and 090355.; Psychiat Genomics Consortium , Lönnqvist , J & Paunio , T 2018 , ' Estimation of Genetic Correlation via Linkage Disequilibrium Score Regression and Genomic Restricted Maximum Likelihood ' , American Journal of Human Genetics , vol. 102 , no. 6 , pp. 1185-1194 . https://doi.org/10.1016/j.ajhg.2018.03.021; http://hdl.handle.net/10138/305741; 254082cb-f767-4dfd-a219-0cfeb172a567; 85046126170; 000434946200014

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    وصف الملف: application/pdf

    Relation: Rudra, Pratyaydipta; Broadaway, K. Alaine; Ware, Erin B.; Jhun, Min A.; Bielak, Lawrence F.; Zhao, Wei; Smith, Jennifer A.; Peyser, Patricia A.; Kardia, Sharon L.R.; Epstein, Michael P.; Ghosh, Debashis (2018). "Testing cross‐phenotype effects of rare variants in longitudinal studies of complex traits." Genetic Epidemiology 42(4): 320-332.; https://hdl.handle.net/2027.42/144294; Genetic Epidemiology; Sun, J., Oualkacha, K., Forgetta, V., Zheng, H. F., Richards, J. B., Ciampi, A., & Greenwood, C. M. ( 2016 ). A method for analyzing multiple continuous phenotypes in rare variant association studies allowing for flexible correlations in variant effects. European Journal of Human Genetics, 24 ( 9 ), 1344 – 1351.; Galesloot, T. E., Van Steen, K., Kiemeney, L. A., Janss, L. L., & Vermeulen, S. H. ( 2014 ). A comparison of multivariate genome‐wide association methods. PloS One, 9 ( 4 ), e95923.; Gottesman, R. F., Schneider, A. L., Albert, M., Alonso, A., Bandeen‐Roche, K., Coker, L., … Sharrett, A. R. ( 2014 ). Midlife hypertension and 20‐year cognitive change: The atherosclerosis risk in communities neurocognitive study. JAMA Neurology, 71 ( 10 ), 1218 – 1227.; Gretton, A., Fukumizu, K., Teo, C. H., Song, L., Schölkopf, B., & Smola, A. J. ( 2007 ). A kernel statistical test of Independence. Advances in Neural Information Processing Systems, 20, 585 – 592.; He, Z., Zhang, M., Lee, S., Smith, J. A., Kardia, S. L., Diez Roux, A. V., & Mukherjee, B. ( 2016 ). Set‐based tests for gene‐environment interaction in longitudinal studies. Journal of the American Statistical Association, 966 – 978. https://doi.org/10.1080/01621459.2016.1252266; Hottenga, J. J., Boomsma, D. I., Kupper, N., Posthuma, D., Snieder, H., Willemsen, G., & de Geus, E. J. ( 2005 ). Heritability and stability of resting blood pressure. Twin Research and Human Genetics, 8 ( 05 ), 499 – 508.; Hua, W. Y., & Ghosh, D. ( 2015 ). Equivalence of kernel machine regression and kernel distance covariance for multidimensional phenotype association studies. Biometrics, 71 ( 3 ), 812 – 820.; Kowarik, A., & Templ, M. ( 2016 ). Imputation with r package vim. Journal of Statistical Software, 74 ( 7 ), 1 – 16.; Kwee, L. C., Liu, D., Lin, X., Ghosh, D., & Epstein, M. P. ( 2008 ). A powerful and flexible multilocus association test for quantitative traits. American Journal of Human Genetics, 82 ( 2 ), 386 – 397.; Lambert, J. C., Ibrahim‐Verbaas, C. A., Harold, D., Naj, A. C., Sims, R., Bellenguez, C., … Grenier‐Boley, B. ( 2013 ). Meta‐analysis of 74,046 individuals identifies 11 new susceptibility loci for Alzheimer’s disease. Nature Genetics, 45 ( 12 ), 1452 – 1458.; Lange, L. A., Lange, E. M., Bielak, L. F., Langefeld, C. D., Kardia, S. L., Royston, P., & Peyser, P. A. ( 2002 ). Autosomal genome‐wide scan for coronary artery calcification loci in sibships at high risk for hypertension. Arteriosclerosis, Thrombosis, and Vascular Biology, 22 ( 3 ), 418 – 423.; Lees, C., Barrett, J., Parkes, M., & Satsangi, J. ( 2011 ). New IBD genetics: Common pathways with other diseases. Gut, 60 ( 12 ), 1739 – 1753.; Liu, F., Van Der Lijn, F., Schurmann, C., Zhu, G., Chakravarty, M. M., Hysi, P. G., … Van Der Lugt, A. ( 2012 ). A genome‐wide association study identifies five loci influencing facial morphology in Europeans. PLoS Genet, 8 ( 9 ), e1002932.; Maier, R., Moser, G., Chen, G. B., Ripke, S., Absher, D., Agartz, I., … Anney, R. ( 2015 ). Joint analysis of psychiatric disorders increases accuracy of risk prediction for schizophrenia, bipolar disorder, and major depressive disorder. American Journal of Human Genetics, 96 ( 2 ), 283 – 294.; Martirosyan, N. L., Patel, A. A., Carotenuto, A., Kalani, M. Y. S., Belykh, E., Walker, C. T., & Theodore, N. ( 2016 ). Genetic alterations in intervertebral disc disease. Frontiers in Surgery, 3, 59. https://doi.org/10.3389/fsurg.2016.00059; Morris, A. P., & Zeggini, E. ( 2010 ). An evaluation of statistical approaches to rare variant analysis in genetic association studies. Genetic Epidemiology, 34 ( 2 ), 188 – 193.; Nettiksimmons, J., Tranah, G., Evans, D. S., Yokoyama, J. S., & Yaffe, K. ( 2016 ). Gene‐based aggregate SNP associations between candidate AD genes and cognitive decline. Age, 38 ( 2 ), 1 – 10.; Nguyen, T. Q. N., Saitoh, M., Trinh, H. T., Doan, N. M. T., Mizuno, Y., Seki, M., & Mizuguchi, M. ( 2016 ). Truncation and microdeletion of EVC/EVC2 with missense mutation of EFCAB7 in Ellis‐van Creveld syndrome. Congenital Anomalies, 56 ( 5 ), 209 – 216.; Schaid, D. J. ( 2010 ). Genomic similarity and kernel methods II: Methods for genomic information. Human Heredity, 70 ( 2 ), 132 – 140.; Schaid, D. J., Tong, X., Larrabee, B., Kennedy, R. B., Poland, G. A., & Sinnwell, J. P. ( 2016 ). Statistical methods for testing genetic Pleiotropy. Genetics, 204 ( 2 ), 483 – 497.; Schork, N. J., & Zapala, M. A. ( 2012 ). Statistical properties of multivariate distance matrix regression for high‐dimensional data analysis. Frontiers in Genetics, 3, 190. https://doi.org/10.3389/fgene.2012.00190; Szé kely, G. J., Rizzo, M. L., & Bakirov, N. K., et al. ( 2007 ). Measuring and testing dependence by correlation of distances. Annals of Statistics, 35 ( 6 ), 2769 – 2794.; Torgo, L., & Torgo, L. ( 2011 ). Data mining with R: Learning with case studies. Boca Raton, FL: Chapman & Hall/CRC.; Tzeng, J. Y., Zhang, D., Chang, S. M., Thomas, D. C., & Davidian, M. ( 2009 ). Gene‐trait similarity regression for multimarker‐based association analysis. Biometrics, 65 ( 3 ), 822 – 832.; Vattikuti, S., Guo, J., & Chow, C. C. ( 2012 ). Heritability and genetic correlations explained by common SNPs for metabolic syndrome traits. PLoS Genet, 8 ( 3 ), e1002637.; Wang, Y., Liu, A., Mills, J. L., Boehnke, M., Wilson, A. F., Bailey‐Wilson, J. E., & Fan, R. ( 2015 ). Pleiotropy analysis of quantitative traits at gene level by multivariate functional linear models. Genetic Epidemiology, 39 ( 4 ), 259 – 275.; Wild, P. S., Zeller, T., Schillert, A., Szymczak, S., Sinning, C. R., Deiseroth, A., … Bickel, C. ( 2011 ). A genome‐wide association study identifies LIPA as a susceptibility gene for coronary artery disease clinical Perspective. Circulation: Cardiovascular Genetics, 4 ( 4 ), 403 – 412.; Wu, B., & Pankow, J. S. ( 2016 ). Sequence kernel association test of multiple continuous phenotypes. Genetic Epidemiology, 40 ( 2 ), 91 – 100.; Wu, M. C., Lee, S., Cai, T., Li, Y., Boehnke, M., & Lin, X. ( 2011 ). Rare‐variant association testing for sequencing data with the sequence kernel association test. American Journal of Human Genetics, 89 ( 1 ), 82 – 93.; Yuan, D., Huang, J., Yuan, X., Zhao, J., & Jiang, W. ( 2013 ). Zinc finger protein 667 expression is upregulated by cerebral ischemic preconditioning and protects cells from oxidative stress. Biomedical Reports, 1, 534 – 538.; Zarkesh, M., Daneshpour, M. S., Faam, B., Fallah, M. S., Hosseinzadeh, N., Guity, K., & Azizi, F. ( 2012 ). Heritability of the metabolic syndrome and its components in the Tehran lipid and glucose study (TLGS). Genetics Research, 94 ( 06 ), 331 – 337.; Zeger, S. L., & Liang, K. Y. ( 1986 ). Longitudinal data analysis for discrete and continuous outcomes. Biometrics, 42 ( 1 ), 121 – 130.; Allison, D. B., Thiel, B., Jean, P. S., Elston, R. C., Infante, M. C., & Schork, N. J. ( 1998 ). Multiple phenotype modeling in gene‐mapping studies of quantitative traits: Power advantages. American Journal of Human Genetics, 63 ( 4 ), 1190 – 1201.; Aslibekyan, S., An, P., Frazier‐Wood, A., Kabagambe, E., Irvin, M., Straka, R., … Ordovas, J. M. ( 2013 ). Preliminary evidence of genetic determinants of adiponectin response to fenofibrate in the genetics of lipid lowering drugs and diet network. Nutrition, Metabolism and Cardiovascular Diseases, 23 ( 10 ), 987 – 994.; Broadaway, K. A., Cutler, D. J., Duncan, R., Moore, J. L., Ware, E. B., Jhun, M. A., … Kardia, S. L. ( 2016 ). A statistical approach for testing cross‐phenotype effects of rare variants. American Journal of Human Genetics, 98 ( 3 ), 525 – 540.; Daniels, P. R., Kardia, S. L., Hanis, C. L., Brown, C. A., Hutchinson, R., Boerwinkle, E., & Turner, S. T. ( 2004 ). Familial aggregation of hypertension treatment and control in the Genetic Epidemiology Network of Arteriopathy (GENOA) study. American Journal of Medicine, 116 ( 10 ), 676 – 681.; Davies, R. B. ( 1980 ). Algorithm AS 155: The distribution of a linear combination of χ 2 random variables. Journal of the Royal Statistical Society. Series C (Applied Statistics), 29 ( 3 ), 323 – 333.; Fan, R., Zhang, Y., Albert, P. 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    المؤلفون: Guiyan Ni, Gerhard Moser, Naomi R. Wray, S. Hong Lee, Stephan Ripke, Benjamin M. Neale, Aiden Corvin, James T.R. Walters, Kai-How Farh, Peter A. Holmans, Phil Lee, Brendan Bulik-Sullivan, David A. Collier, Hailiang Huang, Tune H. Pers, Ingrid Agartz, Esben Agerbo, Margot Albus, Madeline Alexander, Farooq Amin, Silviu A. Bacanu, Martin Begemann, Richard A. Belliveau, Judit Bene, Sarah E. Bergen, Elizabeth Bevilacqua, Tim B. Bigdeli, Donald W. Black, Richard Bruggeman, Nancy G. Buccola, Randy L. Buckner, William Byerley, Wiepke Cahn, Guiqing Cai, Dominique Campion, Rita M. Cantor, Vaughan J. Carr, Noa Carrera, Stanley V. Catts, Kimberly D. Chambert, Raymond C.K. Chan, Ronald Y.L. Chen, Eric Y.H. Chen, Wei Cheng, Eric F.C. Cheung, Siow Ann Chong, C. Robert Cloninger, David Cohen, Nadine Cohen, Paul Cormican, Nick Craddock, James J. Crowley, David Curtis, Michael Davidson, Kenneth L. Davis, Franziska Degenhardt, Jurgen Del Favero, Ditte Demontis, Dimitris Dikeos, Timothy Dinan, Srdjan Djurovic, Gary Donohoe, Elodie Drapeau, Jubao Duan, Frank Dudbridge, Naser Durmishi, Peter Eichhammer, Johan Eriksson, Valentina Escott-Price, Laurent Essioux, Ayman H. Fanous, Martilias S. Farrell, Josef Frank, Lude Franke, Robert Freedman, Nelson B. Freimer, Marion Friedl, Joseph I. Friedman, Menachem Fromer, Giulio Genovese, Lyudmila Georgieva, Ina Giegling, Paola Giusti-Rodríguez, Stephanie Godard, Jacqueline I. Goldstein, Vera Golimbet, Srihari Gopal, Jacob Gratten, Lieuwe de Haan, Christian Hammer, Marian L. Hamshere, Mark Hansen, Thomas Hansen, Vahram Haroutunian, Annette M. Hartmann, Frans A. Henskens, Stefan Herms, Joel N. Hirschhorn, Per Hoffmann, Andrea Hofman, Mads V. Hollegaard, David M. Hougaard, Masashi Ikeda, Inge Joa, Antonio Juliá, René S. Kahn, Luba Kalaydjieva, Sena Karachanak-Yankova, Juha Karjalainen, David Kavanagh, Matthew C. Keller, James L. Kennedy, Andrey Khrunin, Yunjung Kim, Janis Klovins, James A. Knowles, Bettina Konte, Vaidutis Kucinskas, Zita Ausrele Kucinskiene, Hana Kuzelova-Ptackova, Anna K. Kähler, Claudine Laurent, Jimmy Lee Chee Keong, Sophie E. Legge, Bernard Lerer, Miaoxin Li, Tao Li, Kung-Yee Liang, Jeffrey Lieberman, Svetlana Limborska, Carmel M. Loughland, Jan Lubinski, Jouko Lönnqvist, Milan Macek, Patrik K.E. Magnusson, Brion S. Maher, Wolfgang Maier, Jacques Mallet, Sara Marsal, Manuel Mattheisen, Morten Mattingsda, Robert W. McCarley, Colm McDonald, Andrew M. McIntosh, Sandra Meier, Carin J. Meijer, Bela Melegh, Ingrid Melle, Raquelle I. Mesholam-Gately, Andres Metspalu, Patricia T. Michie, Lili Milani, Vihra Milanova, Younes Mokrab, Derek W. Morris, Ole Mors, Kieran C. Murphy, Robin M. Murray, Inez Myin-Germeys, Bertram Müller-Myhsok, Mari Nelis, Igor Nenadic, Deborah A. Nertney, Gerald Nestadt, Kristin K. Nicodemus, Liene Nikitina-Zake, Laura Nisenbaum, Annelie Nordin, Eadbhard O’Callaghan, Colm O’Dushlaine, F. Anthony O’Neill, Sang-Yun Oh, Ann Olinc, Line Olsen, Jim Van Os, Christos Pantelis, George N. Papadimitriou, Sergi Papio, Elena Parkhomenko, Michele T. Pato, Tiina Paunio, Milica Pejovic-Milovancevic, Diana O. Perkins, Olli Pietiläinenl, Jonathan Pimm, Andrew J. Pocklington, John Powell, Alkes Price, Ann E. Pulver, Shaun M. Purcell, Digby Quested, Henrik B. Rasmussen, Abraham Reichenberg, Mark A. Reimers, Alexander L. Richards, Joshua L. Roffman, Panos Roussos, Douglas M. Ruderfer, Veikko Salomaa, Alan R. Sanders, Ulrich Schall, Christian R. Schubert, Thomas G. Schulze, Sibylle G. Schwab, Edward M. Scolnick, Rodney J. Scott, Larry J. Seidman, Jianxin Shi, Engilbert Sigurdsson, Teimuraz Silagadze, Jeremy M. Silverman, Kang Sim, Petr Slominsky, Jordan W. Smoller, Hon-Cheong So, Chris C.A. Spencer, Eli A. Stah, Hreinn Stefansson, Stacy Steinberg, Elisabeth Stogmann, Richard E. Straub, Eric Strengman, Jana Strohmaier, T. Scott Stroup, Mythily Subramaniam, Jaana Suvisaari, Dragan M. Svrakic, Jin P. Szatkiewicz, Erik Söderman, Srinivas Thirumalai, Draga Toncheva, Sarah Tosato, Juha Veijola, John Waddington, Dermot Walsh, Dai Wang, Qiang Wang, Bradley T. Webb, Mark Weiser, Dieter B. Wildenauer, Nigel M. Williams, Stephanie Williams, Stephanie H. Witt, Aaron R. Wolen, Emily H.M. Wong, Brandon K. Wormley, Hualin Simon Xi, Clement C. Zai, Xuebin Zheng, Fritz Zimprich, Kari Stefansson, Peter M. Visscher, Rolf Adolfsson, Ole A. Andreassen, Douglas H.R. Blackwood, Elvira Bramon, Joseph D. Buxbaum, Anders D. Børglum, Sven Cichon, Ariel Darvasi, Enrico Domenici, Hannelore Ehrenreich, Tõnu Esko, Pablo V. Gejman, Michael Gill, Hugh Gurling, Christina M. Hultman, Nakao Iwata, Assen V. Jablensky, Erik G. Jönsson, Kenneth S. Kendler, George Kirov, Jo Knight, Todd Lencz, Douglas F. Levinson, Qingqin S. Li, Jianjun Liu, Anil K. Malhotra, Steven A. McCarrol, Andrew McQuillin, Jennifer L. Moran, Preben B. Mortensen, Bryan J. Mowry, Markus M. Nöthen, Roel A. Ophoff, Michael J. Owen, Aarno Palotie, Carlos N. Pato, Tracey L. Petryshen, Danielle Posthuma, Marcella Rietsche, Brien P. Riley, Dan Rujescu, Pak C. Sham, Pamela Sklar, David St Clair, Daniel R. Weinberger, Jens R. Wendland, Thomas Werge, Mark J. Daly, Patrick F. Sullivan, Michael C. O’Donovan

    المساهمون: APH - Mental Health, ANS - Complex Trait Genetics, Adult Psychiatry, Ni, Guiyan, Moser, Gerhard, Wray, Naomi R, Lee, S Hong, Schizophrenia Working Group of the Psychiatric Genomics Consortium, Amsterdam Neuroscience - Complex Trait Genetics, Complex Trait Genetics, Clinicum, Department of Psychiatry, HUS Psychiatry

    المصدر: American journal of human genetics, 102(6), 1185-1194. Cell Press
    The American Journal of Human Genetics
    Agerbo, E & Schizophrenia Working Group of the Psychiatric Genomics Consortium 2018, ' Estimation of Genetic Correlation via Linkage Disequilibrium Score Regression and Genomic Restricted Maximum Likelihood ', American Journal of Human Genetics, vol. 102, no. 6, pp. 1185-1194 . https://doi.org/10.1016/j.ajhg.2018.03.021
    Posthuma, D & Schizophrenia Working Group of the Psychiatric Genomics Consortium 2018, ' Estimation of Genetic Correlation via Linkage Disequilibrium Score Regression and Genomic Restricted Maximum Likelihood ', American Journal of Human Genetics, vol. 102, no. 6, pp. 1185-1194 . https://doi.org/10.1016/j.ajhg.2018.03.021
    American Journal of Human Genetics, 102(6), 1185-1194. Cell Press
    American Journal of Human Genetics, 102(6), 1185. Cell Press
    American journal of human genetics, vol 102, iss 6
    American journal of human genetics
    The American journal of human genetics 102(6), 1185-1194 (2018). doi:10.1016/j.ajhg.2018.03.021

    مصطلحات موضوعية: 0301 basic medicine, Linkage disequilibrium, Schizophrenia/genetics, INFORMATION, Restricted maximum likelihood, Inheritance Patterns, linkage disequilibrium score regression, Bioinformatics, Medical and Health Sciences, 3124 Neurology and psychiatry, Linkage Disequilibrium, biasedness, 0302 clinical medicine, Statistics, Databases, Genetic, WIDE ASSOCIATION, Genetics(clinical), PARTITIONING HERITABILITY, Genetics (clinical), Genetics & Heredity, education.field_of_study, Schizophrenia Working Group of the Psychiatric Genomics Consortium, Likelihood Functions, Genome, Body Height/genetics, accuracy, Regression analysis, Single Nucleotide, Biological Sciences, Polymorphism, Single Nucleotide/genetics, genetic correlation, Regression, STATISTICS, genomic restricted maximum likelihood, Mental Health, Phenotype, Regression Analysis, COMPLEX HUMAN TRAITS, Single Nucleotide/genetics, Human, Adult, SUSCEPTIBILITY LOCI, Genotype, SNP heritability, body mass index, genome-wide SNPs, height, schizophrenia, Population, Haplotypes/genetics, Biology, Genetic correlation, Polymorphism, Single Nucleotide, 03 medical and health sciences, Databases, Genetic, ddc:570, Report, Genetics, Humans, Linkage Disequilibrium/genetics, Computer Simulation, Polymorphism, education, linkage disequilibrium score regression (LDSC), Genome, Human, Human Genome, genetic architecture, Genetic architecture, Body Height, Brain Disorders, Inheritance Patterns/genetics, BODY-MASS INDEX, 030104 developmental biology, Haplotypes, Sample size determination, Schizophrenia, 3111 Biomedicine, HUMAN HEIGHT, 030217 neurology & neurosurgery

    وصف الملف: application/pdf; image/pdf

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    المصدر: Zhu, J; Chen, C; Yang, B; Guo, Y; Ai, H; Ren, J; et al.(2015). A systems genetics study of swine illustrates mechanisms underlying human phenotypic traits. BMC Genomics, 16(1). doi: 10.1186/s12864-015-1240-y. UCLA: Retrieved from: http://www.escholarship.org/uc/item/67x9j6fd
    BMC genomics, vol 16, iss 1
    BMC Genomics

    وصف الملف: application/pdf

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