Hamiltonian cycles in Cayley graphs whose order has few prime factors

Autor: Kutnar, K., Marusic, D., Morris, D. W., Morris, J., Sparl, P.

We prove that if Cay(G;S) is a connected Cayley graph with n vertices, and the prime factorization of n is very small, then Cay(G;S) has a hamiltonian cycle. More precisely, if p, q, and r are distinct primes, then n can be of the form kp with k < 32

Externí odkaz: http://arxiv.org/abs/1009.5795

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Improving genetic prediction by leveraging genetic correlations among human diseases and traits

Autor: Maier, R. M., Zhu, Z., Lee, S. H., Trzaskowski, M., Ruderfer, D. M., Stahl, E. A., Ripke, S., Wray, N. R., Yang, J., Visscher, P. M., Robinson, M. R., Forstner, A. J., Mcquillin, A., Trubetskoy, V., Wang, W., Wang, Y., Coleman, J. R. I., Gaspar, H. A., Leeuw, C. A., Whitehead Pavlides, J. M., Olde Loohuis, L. M., Pers, T. H., Lee, P. H., Charney, A. W., Dobbyn, A. L., Huckins, L., Boocock, J., Giambartolomei, C., Roussos, P., Mullins, N., Awasthi, S., Agerbo, E., Als, T. D., Pedersen, C. B., Grove, J., Kupka, R., Regeer, E. J., Anjorin, A., Casas, M., Mahon, P. B., Allardyce, J., Escott-Price, V., Forty, L., Fraser, C., Kogevinas, M., Frank, J., Streit, F., Strohmaier, J., Treutlein, J., Witt, S. H., Kennedy, J. L., Strauss, J. S., Garnham, J., O Donovan, C., Slaney, C., Steinberg, S., Thorgeirsson, T. E., Hautzinger, M., Steffens, M., Perlis, R. H., Sánchez-Mora, C., Hipolito, M., Lawson, W. B., Nwulia, E. A., Levy, S. E., Foroud, T. M., Jamain, S., Young, A. H., Mckay, J. D., Albani, D., Zandi, P., Potash, J. B., Zhang, P., Raymond Depaulo, J., Bergen, S. E., Juréus, A., Karlsson, R., Kandaswamy, R., Mcguffin, P., Rivera, M., Lissowska, J., Cruceanu, C., Lucae, S., Cervantes, P., Budde, M., Gade, K., Heilbronner, U., Pedersen, M. G., Morris, D. W., Weickert, C. S., Weickert, T. W., Macintyre, D. J., Lawrence, J., Elvsåshagen, T., Smeland, O. B., Djurovic, S., Xi, S., Green, E. K., Czerski, P. M., Hauser, J., Xu, W., Vedder, H., Oruc, L., Spijker, A. T., Gordon, S. D., Medland, S. E., Curtis, D., Mühleisen, T. W., Badner, J. A., Scheftner, W. A., Sigurdsson, E., Schork, N. J., Schatzberg, A. F., Bækvad-Hansen, M., Bybjerg-Grauholm, J., Hansen, C. S., Knowles, J. A., Szelinger, S., Montgomery, G. W., Boks, M., Adolfsson, A. N., Hoffmann, P., Bauer, M., Pfennig, A., Leber, M., Kittel-Schneider, S., Reif, A., Del-Favero, J., Fischer, S. B., Herms, S., Reinbold, C. S., Degenhardt, F., Koller, A. C., Maaser, A., Ori, A. P. S., Dale, A. M., Fan, C. C., Greenwood, T. A., Nievergelt, C. M., Shehktman, T., Shilling, P. D., Byerley, W., Bunney, W., Alliey-Rodriguez, N., Clarke, T. K., Liu, C., Coryell, W., Akil, H., Burmeister, M., Flickinger, M., Li, J. Z., Mcinnis, M. G., Meng, F., Thompson, R. C., Watson, S. J., Zollner, S., Guan, W., Green, M. J., Craig, D., Sobell, J. L., Milani, L., Gordon-Smith, Katherine, Knott, Sarah, Perry, Amy, Parra, J. G., Mayoral, F., Rivas, F., Rice, J. P., Barchas, J. D., Børglum, A. D., Mortensen, P. B., Mors, O., Grigoroiu-Serbanescu, M., Bellivier, F., Etain, B., Leboyer, M., Ramos-Quiroga, J. A., Agartz, I., Amin, F., Azevedo, M. H., Bass, N., Black, D. W., Blackwood, D. H. R., Bruggeman, R., Buccola, N. G., Choudhury, K., Cloninger, C. R., Corvin, A., Craddock, N., Daly, M. J., Datta, S., Donohoe, G. J., Duan, J., Dudbridge, F., Fanous, A., Freedman, R., Freimer, N. B., Friedl, M., Gill, M., Gurling, H., Haan, L., Hamshere, M. L., Hartmann, A. M., Holmans, P. A., Kahn, R. S., Keller, M. C., Kenny, E., Kirov, G. K., Krabbendam, L., Krasucki, R., Lencz, T., Levinson, D. F., Lieberman, J. A., Lin, D. -Y, Linszen, D. H., Magnusson, P. K. E., Maier, W., Malhotra, A. K., Mattheisen, M., Mattingsdal, M., Mccarroll, S. A., Medeiros, H., Melle, I., Milanova, V., Myin-Germeys, I., Neale, B. M., Ophoff, R. A., Owen, M. J., Pimm, J., Purcell, S. M., Puri, V., Digby Quested, Rossin, L., Sanders, A. R., Shi, J., Sklar, P., St Clair, D., Stroup, T. S., Os, J., Wiersma, D., Zammit, S.

Publikováno v: Nature Communications
Nature Communications, 9(1):02769-6. Nature Publishing Group
Maier, R M, Zhu, Z, Lee, S H, Trzaskowski, M, Ruderfer, D M, Stahl, E A, Ripke, S, Wray, N R, Yang, J, Visscher, P M, Robinson, M R, Forstner, A J, Mcquillin, A, Trubetskoy, V, Wang, W, Wang, Y, Coleman, J R I, Gaspar, H A, De Leeuw, C A, Whitehead Pavlides, J M, Olde Loohuis, L M, Pers, T H, Lee, P H, Charney, A W, Dobbyn, A L, Huckins, L, Boocock, J, Giambartolomei, C, Roussos, P, Mullins, N, Awasthi, S, Agerbo, E, Als, T D, Pedersen, C B, Grove, J, Kupka, R, Regeer, E J, Anjorin, A, Casas, M, Mahon, P B, Allardyce, J, Escott-Price, V, Forty, L, Fraser, C, Kogevinas, M, Frank, J, Streit, F, Strohmaier, J & Treutlein, J 2018, ' Improving genetic prediction by leveraging genetic correlations among human diseases and traits ', Nature Communications, vol. 9, no. 1, 02769-6 . https://doi.org/10.1038/s41467-017-02769-6
Nature Communications, 9(1). Nature Publishing Group
Nature Communications, Vol 9, Iss 1, Pp 1-17 (2018)
Nature communications, 9(1):02769-6. Nature Publishing Group
Maier, R M, Zhu, Z, Lee, S H, Trzaskowski, M, Ruderfer, D M, Stahl, E A, Ripke, S, Wray, N R, Yang, J, Visscher, P M, Robinson, M R, Forstner, A J, Mcquillin, A, Trubetskoy, V, Wang, W, Wang, Y, Coleman, J R I, Gaspar, H L A, de Leeuw, C A, Whitehead Pavlides, J M, Olde Loohuis, L M, Pers, T H, Lee, P H, Charney, A W, Dobbyn, A L, Huckins, L, Boocock, J, Giambartolomei, C, Roussos, P, Mullins, N, Awasthi, S, Agerbo, E, Als, T D, Pedersen, C B C, Grove, J, Kupka, R, Regeer, E J, Anjorin, A, Casas, M, Mahon, P B, Allardyce, J, Escott-Price, V, Forty, L, Fraser, C, Kogevinas, M, Frank, J, Streit, F, Strohmaier, J, Treutlein, J, Witt, S H, Kennedy, J L, Strauss, J S, Garnham, J, O'donovan, C, Slaney, C, Steinberg, S, Thorgeirsson, T E, Hautzinger, M, Steffens, M, Perlis, R H, Sánchez-Mora, C, Hipolito, M, Lawson, W B, Nwulia, E A, Levy, S E, Foroud, T M, Jamain, S, Young, A H, Mckay, J D, Albani, D, Zandi, P, Potash, J B, Zhang, P, Raymond Depaulo, J, Bergen, S E, Juréus, A, Karlsson, R, Kandaswamy, R, Mcguffin, P, Rivera, M, Lissowska, J, Cruceanu, C, Lucae, S, Cervantes, P, Budde, M, Gade, K, Heilbronner, U, Pedersen, M G, Morris, D W, Weickert, C S, Weickert, T W, Macintyre, D J, Lawrence, J, Elvsåshagen, T, Smeland, O B, Djurovic, S, Xi, S, Green, E K, Czerski, P M, Hauser, J, Xu, W, Vedder, H, Oruc, L, Spijker, A T, Gordon, S D, Medland, S E, Curtis, D, Mühleisen, T W, Badner, J, Scheftner, W A, Sigurdsson, E, Schork, N J, Schatzberg, A F, Bækvad-Hansen, M, Bybjerg-Grauholm, J, Hansen, C S H, Knowles, J A, Szelinger, S, Montgomery, G W, Boks, M, Adolfsson, A N, Hoffmann, P, Bauer, M, Pfennig, A, Leber, M, Kittel-Schneider, S, Reif, A, del-Favero, J, Fischer, S B, Herms, S, Reinbold, C L S, Degenhardt, F, Koller, A C, Maaser, A, Ori, A, Dale, A M, Fan, C C, Greenwood, T A, Nievergelt, C M, Shehktman, T, Shilling, P D, Byerley, W, Bunney, W, Alliey-Rodriguez, N, Clarke, T-K, Liu, C, Coryell, W, Akil, H, Burmeister, M, Flickinger, M, Li, J Z, Mcinnis, M G, Meng, F, Thompson, R C, Watson, S J, Zollner, S, Guan, W, Green, M J, Craig, D, Sobell, J L, Milani, L, Gordon-Smith, K, Knott, S V, Perry, A, Parra, J G, Mayoral, F, Rivas, F, Rice, J P, Barchas, J D, Børglum, A D, Mortensen, P B, Mors, O, Grigoroiu-Serbanescu, M, Bellivier, F, Etain, B, Leboyer, M, Ramos-Quiroga, J A, Agartz, I, Amin, F, Azevedo, M H, Bass, N, Black, D W, Blackwood, D H R, Bruggeman, R, Buccola, N G, Choudhury, K, Cloninger, C R, Corvin, A, Craddock, N, Daly, M J, Datta, S, Donohoe, G J, Duan, J, Dudbridge, F, Fanous, A, Freedman, R, Freimer, N B, Friedl, M, Gill, M, Gurling, H, de Haan, L, Hamshere, M L, Hartmann, A M, Holmans, P A, Kahn, R S, Keller, M C, Kenny, E, Kirov, G K, Krabbendam, L, Krasucki, R, Lencz, T, Levinson, D F, Lieberman, J A, Lin, D-Y, Linszen, D H, Magnusson, P K E, Maier, W, Malhotra, A K, Mattheisen, M, Mattingsdal, M, Mccarroll, S A, Medeiros, H, Melle, I, Milanova, V, Myin-Germeys, I, Neale, B M, Ophoff, R A, Owen, M J, Pimm, J, Purcell, S M, Puri, V, Quested, D J, Rossin, L, Sanders, A R, Shi, J, Sklar, P, St Clair, D, Stroup, T S, van Os, J, Wiersma, D & Zammit, S 2018, ' Improving genetic prediction by leveraging genetic correlations among human diseases and traits ', Nature Communications, vol. 9, no. 1, 02769-6 . https://doi.org/10.1038/s41467-017-02769-6
Nature communications, vol. 9, no. 1, pp. 989
Maier, R M, Zhu, Z, Lee, S H, Trzaskowski, M, Ruderfer, D M, Stahl, E A, Ripke, S, Wray, N R, Yang, J & Visscher, P M & Robinson, M R 2018, ' Improving genetic prediction by leveraging genetic correlations among human diseases and traits ', Nature Communications, vol. 9, no. 1, 989 . https://doi.org/10.1038/s41467-017-02769-6
Maier, R M, Zhu, Z, Lee, S H, Trzaskowski, M, Ruderfer, D M, Stahl, E A, Ripke, S, Wray, N R, Yang, J, Visscher, P M, Robinson, M R, Forstner, A J, Mcquillin, A, Trubetskoy, V, Wang, W, Wang, Y, Coleman, J R I, Gaspar, H A, De Leeuw, C A, Whitehead Pavlides, J M, Olde Loohuis, L M, Pers, T H, Lee, P H, Charney, A W, Dobbyn, A L, Huckins, L, Boocock, J, Giambartolomei, C, Roussos, P, Mullins, N, Awasthi, S, Agerbo, E, Als, T D, Pedersen, C B, Grove, J, Kupka, R, Regeer, E J, Anjorin, A, Casas, M, Mahon, P B, Allardyce, J, Escott-Price, V, Forty, L, Fraser, C, Kogevinas, M, Frank, J, Streit, F, Strohmaier, J, Treutlein, J, Witt, S H, Kennedy, J L, Strauss, J S, Garnham, J, O'donovan, C, Slaney, C, Steinberg, S, Thorgeirsson, T E, Hautzinger, M, Steffens, M, Perlis, R H, Sánchez-Mora, C, Hipolito, M, Lawson, W B, Nwulia, E A, Levy, S E, Foroud, T M, Jamain, S, Young, A H, Mckay, J D, Albani, D, Zandi, P, Potash, J B, Zhang, P, Raymond Depaulo, J, Bergen, S E, Juréus, A, Karlsson, R, Kandaswamy, R, Mcguffin, P, Rivera, M, Lissowska, J, Cruceanu, C, Lucae, S, Cervantes, P, Budde, M, Gade, K, Heilbronner, U, Pedersen, M G, Morris, D W, Weickert, C S, Weickert, T W, Macintyre, D J, Lawrence, J, Elvsåshagen, T, Smeland, O B, Djurovic, S, Xi, S, Green, E K, Czerski, P M, Hauser, J, Xu, W, Vedder, H, Oruc, L, Spijker, A T, Gordon, S D, Medland, S E, Curtis, D, Mühleisen, T W, Badner, J, Scheftner, W A, Sigurdsson, E, Schork, N J, Schatzberg, A F, Bækvad-Hansen, M, Bybjerg-Grauholm, J, Hansen, C S, Knowles, J A, Szelinger, S, Montgomery, G W, Boks, M, Adolfsson, A N, Hoffmann, P, Bauer, M, Pfennig, A, Leber, M, Kittel-Schneider, S, Reif, A, Del-Favero, J, Fischer, S B, Herms, S, Reinbold, C S, Degenhardt, F, Koller, A C, Maaser, A, Ori, A, Dale, A M, Fan, C C, Greenwood, T A, Nievergelt, C M, Shehktman, T, Shilling, P D, Byerley, W, Bunney, W, Alliey-Rodriguez, N, Clarke, T K, Liu, C, Coryell, W, Akil, H, Burmeister, M, Flickinger, M, Li, J Z, Mcinnis, M G, Meng, F, Thompson, R C, Watson, S J, Zollner, S, Guan, W, Green, M J, Craig, D, Sobell, J L, Milani, L, Gordon-Smith, K, Knott, S V, Perry, A, Parra, J G, Mayoral, F, Rivas, F, Rice, J P, Barchas, J D, Børglum, A D, Mortensen, P B, Mors, O, Grigoroiu-Serbanescu, M, Bellivier, F, Etain, B, Leboyer, M, Ramos-Quiroga, J A, Agartz, I, Amin, F, Azevedo, M H, Bass, N, Black, D W, Blackwood, D H R, Bruggeman, R, Buccola, N G, Choudhury, K, Cloninger, C R, Corvin, A, Craddock, N, Daly, M J, Datta, S, Donohoe, G J, Duan, J, Dudbridge, F, Fanous, A, Freedman, R, Freimer, N B, Friedl, M, Gill, M, Gurling, H, De Haan, L, Hamshere, M L, Hartmann, A M, Holmans, P A, Kahn, R S, Keller, M C, Kenny, E, Kirov, G K, Krabbendam, L, Krasucki, R, Lencz, T, Levinson, D F, Lieberman, J A, Lin, D Y, Linszen, D H, Magnusson, P K E, Maier, W, Malhotra, A K, Mattheisen, M, Mattingsdal, M, Mccarroll, S A, Medeiros, H, Melle, I, Milanova, V, Myin-Germeys, I, Neale, B M, Ophoff, R A, Owen, M J, Pimm, J, Purcell, S M, Puri, V, Quested, D J, Rossin, L, Sanders, A R, Shi, J, Sklar, P, St Clair, D, Stroup, T S, Van Os, J, Wiersma, D & Zammit, S 2018, ' Improving genetic prediction by leveraging genetic correlations among human diseases and traits ', Nature Communications, vol. 9, no. 1, 02769-6 . https://doi.org/10.1038/s41467-017-02769-6
BASE-Bielefeld Academic Search Engine

Genomic prediction has the potential to contribute to precision medicine. However, to date, the utility of such predictors is limited due to low accuracy for most traits. Here theory and simulation study are used to demonstrate that widespread pleiot

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::153fe9353caeec532121eeecd713b381

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MiR-137-derived polygenic risk: effects on cognitive performance in patients with schizophrenia and controls

Autor: Cosgrove, D, Harold, D, Mothersill, O, Anney, Richard, Hill, Martin, Bray, Nicholas, Blokland, G, Petryshen, T, Donnelly, Peter, Bates, Lesley, Barroso, Ines, Blackwell, Jenefer M, Bramon, Elvira, Brown, Matthew A, Casas, Juan P, Corvin, Aiden, Deloukas, Panos, Duncanson, Audrey, Jankowski, Janusz, Markus, Hugh S, Mathew, Christopher G, Palmer, Colin N A, Plomin, Robert, Rautanen, Anna, Sawcer, Stephen J, Trembath, Richard C, Viswanathan, Ananth C, Wood, Nicholas W, Spencer, Chris C A, Band, Gavin, Bellenguez, Céline, Freeman, Colin, Hellenthal, Garrett, Giannoulatou, Eleni, Hopkins, Lucinda, Pirinen, Matti, Pearson, Richard, Strange, Amy, Su, Zhan, Vukcevic, Damjan, Langford, Cordelia, Hunt, Sarah E, Edkins, Sarah, Gwilliam, Rhian, Blackburn, Hannah, Bumpstead, Suzannah J, Dronov, Serge, Gillman, Matthew, Gray, Emma, Hammond, Naomi, Jayakumar, Alagurevathi, McCann, Owen T, Liddle, Jennifer, Potter, Simon C, Ravindrarajah, Radhi, Ricketts, Michelle, Waller, Matthew, Weston, PaulWeston, Widaa, SaraWidaa, Whittaker, Pamela, Richards, Alexander, Mantripragada, Kiran, Owen, Michael, O'Donovan, Michael, Gill, M, Corvin, A, Morris, D W, Donohoe, G

Publikováno v: Nature
Translational Psychiatry

Variants at microRNA-137 (MIR137), one of the most strongly associated schizophrenia risk loci identified to date, have been associated with poorer cognitive performance. As microRNA-137 is known to regulate the expression of ~1900 other genes, inclu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e2fc51f1132b6e5386c406d88cf3e9c
http://hdl.handle.net/1721.1/109746