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Research Outputs

  1. 2020
  2. Glanville, KP, Coleman, JRI, Hanscombe, KB, Euesden, J, Choi, SW, Purves, K, Breen, G, Air, TM, Andlauer, TMF, Baune, BT, Binder, EB, Blackwood, DHR, Boomsma, DI, Buttenschøn, HN, Colodro-Conde, L, Dannlowski, U, Direk, N, Dunn, EC, Forstner, AJ, de Geus, EJC, Grabe, HJ, Hamilton, SP, Jones, I, Jones, LA, Knowles, JA, Kutalik, Z, Levinson, DF, Lewis, G, Lind, PA, Lucae, S, Lucae, S, Magnusson., PKE, McGuffin, P, McIntosh, A, Milaneschi, Y, Lewis, CM, Mostafavi, S, Muller-Myhsok, B, Pedersen, NL, Penninx, BW, Potash, JB, Preisig, M, Ripke, S, Shi, J, Shyn, SI, Smoller, JW, Streit, F, Sullivan, PF, Tiemeier, H, Uher, R, der Auwera, SV, Weissman, MM, O'Reilly, PF & Lewis, CM 2020, 'Classical Human Leukocyte Antigen Alleles and C4 Haplotypes Are Not Significantly Associated With Depression', Biological psychiatry, vol. 87, no. 5, pp. 419-430. https://doi.org/10.1016/j.biopsych.2019.06.031
  3. Munn-Chernoff, MA, Johnson, EC, Chou, YL, Coleman, JRI, Thornton, LM, Walters, RK, Yilmaz, Z, Baker, JH, Hübel, C, Gordon, S, Medland, SE, Watson, HJ, Gaspar, HA, Bryois, J, Hinney, A, Leppä, VM, Mattheisen, M, Ripke, S, Yao, S, Giusti-Rodríguez, P, Hanscombe, KB, Adan, RAH, Alfredsson, L, Ando, T, Andreassen, OA, Berrettini, WH, Boehm, I, Boni, C, Boraska Perica, V, Buehren, K, Burghardt, R, Cassina, M, Cichon, S, Clementi, M, Cone, RD, Courtet, P, Crow, S, Farmer, A, Helder, SG, Kalsi, G, McGuffin, P, Roberts, M, Schmidt, U, Treasure, J, Walton, E, Lynskey, MT, Madden, PAF, Riley, BP, Neale, BM & Breen, G 2020, 'Shared genetic risk between eating disorder- and substance-use-related phenotypes: Evidence from genome-wide association studies', Addiction Biology. https://doi.org/10.1111/adb.12880
  4. Bipolar Disorder Working Group of the Psychiatric Genomics Consortium & Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium 2020, 'The Genetics of the Mood Disorder Spectrum: Genome-wide Association Analyses of More Than 185,000 Cases and 439,000 Controls', Biological psychiatry. https://doi.org/10.1016/j.biopsych.2019.10.015
  5. Deng, Q, Faghanimakrani, T & Aghvami, A-H 2020, GBDT-Based Modules for Force Prediction in a Model-Mediated Teleoperation System. in 2020 27th International Conference on Telecommunications (ICT) - Special Session on Machine Learning for Wireless Networks.
  6. Faghanimakrani, T, Aghvami, A-H, Shojaeifard, A & Wong, K-K 2020, Recurrent Neural Network Channel Estimation Using Measured Massive MIMO Data. in 2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC).
  7. 2019
  8. Gouareb, R, Friderikos, V, Aghvami, AH & Tatipamula, M 2019, Joint reactive and proactive SDN controller assignment for load balancing. in 2019 IEEE Globecom Workshops, GC Wkshps 2019 - Proceedings., 9024555, 2019 IEEE Globecom Workshops, GC Wkshps 2019 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 2019 IEEE Globecom Workshops, GC Wkshps 2019, Waikoloa, United States, 9/12/2019. https://doi.org/10.1109/GCWkshps45667.2019.9024555
  9. Faghani, T, Shojaeifard, A, Wong, KK & Aghvami, AH 2019, Deep Learning-Based Decision Region for MIMO Detection. in 2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2019. vol. 2019-September, 8904346, Institute of Electrical and Electronics Engineers Inc., 30th IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2019, Istanbul, Turkey, 8/09/2019. https://doi.org/10.1109/PIMRC.2019.8904346
  10. Faghanimakrani, T, Aghvami, A-H, Shojaeifard, A & Wong, K-K 2019, Deep Learning-Based Decision Region for MIMO Detection. in 2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC).
  11. Hu, F, Babaei, A & Aghvami, AH 2019, Physical layer security in cellular network in the presence of terrains. in 2019 26th International Conference on Telecommunications, ICT 2019., 8798842, Institute of Electrical and Electronics Engineers Inc., pp. 16-20, 26th International Conference on Telecommunications, ICT 2019, Hanoi, Viet Nam, 8/04/2019. https://doi.org/10.1109/ICT.2019.8798842
  12. Madsen, T, Buttenschøn, HN, Uher, R, Behrendt-Møller, I, Perroud, N, Maier, W, Hauser, J, Dernovsek, MZ, Henigsberg, N, Souery, D, Rietschel, M, McGuffin, P, Aitchison, KJ, Mors, O & Köhler-Forsberg, O 2019, 'Trajectories of suicidal ideation during 12 weeks of escitalopram or nortriptyline antidepressant treatment among 811 patients with major depressive disorder', Journal of Clinical Psychiatry, vol. 80, no. 4, 18m12575. https://doi.org/10.4088/JCP.18m12575
  13. Zhang, X, Abdellaoui, A, Rucker, J, de Jong, S, Potash, JB, Weissman, MM, Shi, J, Knowles, JA, Pato, C, Pato, M, Sobell, J, Smit, JH, Hottenga, JJ, de Geus, EJC, Lewis, CM, Buttenschøn, HN, Craddock, N, Jones, I, Jones, L, McGuffin, P, Mors, O, Owen, MJ, Preisig, M, Rietschel, M, Rice, JP, Rivera, M, Uher, R, Gejman, PV, Sanders, AR, Boomsma, D, Penninx, BWJH, Breen, G & Levinson, DF 2019, 'Genome-wide burden of rare short deletions is enriched in Major Depressive Disorder in four cohorts', Biological psychiatry, vol. 85, no. 12, pp. 1065-1073. https://doi.org/10.1016/j.biopsych.2019.02.022
  14. Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium 2019, 'Integrated analysis of environmental and genetic influences on cord blood DNA methylation in new-borns', Nature Communications, vol. 10, no. 1, 2548, pp. 1-18. https://doi.org/10.1038/s41467-019-10461-0
  15. Deciphering Developmental Disorders Study, UK10K Consortium, NIHR BioResource, Simpson, MA, Prigmore, E, Jones, P, Armstrong, R, Bennett, C, Berg, J, Bernhard, B, Cooper, N, Cox, H, Flinter, F, Fry, A, Gill, H, Gray, E, Harrison, V, Irving, M, Josifova, D, Langman, C, Mohammed, S, Moore, D, Murphy, H, Roberts, J, Tischkowitz, M, Wright, M, Bolton, P, Breen, G, Clement, G, Collier, D, Curran, S, Ellis, P, Evans, D, Hart, D, Hubbard, T, Hysi, P, Jamshidi, Y, Lachance, G, Lopes, M, McGuffin, P, Metrustry, S, Moayyeri, A, Onoufriadis, A, Parr, JR, Quaye, L, Sharp, SI, Small, K, Spasic-Boskovic, O, Stevens, E, Valdes, A, Walters, JTR, Wang, Y, Bennett, D, Bradley, JR, Davis, J, Koziell, A, Machado, R, Richards, M, Smith, K, Southgate, L, Thomas, E, Trembath, R, Williamson, C & Yong, P 2019, 'Bi-allelic Loss-of-Function CACNA1B Mutations in Progressive Epilepsy-Dyskinesia', American Journal of Human Genetics, vol. 104, no. 5, pp. 948-956. https://doi.org/10.1016/j.ajhg.2019.03.005
  16. Alsobhi, W & Aghvami, A-H 2019, QoS-Aware Resource Allocation of Two-tier HetNet: A Q-learning Approach. in 2019 26th International Conference on Telecommunications, ICT 2019., 8798829, IEEE Communications Society, pp. 330-334. https://doi.org/10.1109/ICT.2019.8798829
  17. Gouareb, R, Friderikos, V & Aghvami, AH 2019, Placement and Routing of VNFs for Horizontal Scaling. in 2019 26th International Conference on Telecommunications, ICT 2019., 8798780, Institute of Electrical and Electronics Engineers Inc., pp. 154-159, 26th International Conference on Telecommunications, ICT 2019, Hanoi, Viet Nam, 8/04/2019. https://doi.org/10.1109/ICT.2019.8798780
  18. Autism Spectrum Disorder Working Group of the Psychiatric Genomics Consortium, BUPGEN, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium & 23andMe Research Team 2019, 'Identification of common genetic risk variants for autism spectrum disorder', Nature Genetics, vol. 51, no. 3, pp. 431-444. https://doi.org/10.1038/s41588-019-0344-8
  19. Bipolar Disorder Working Group of the Psychiatric Genomics Consortium & Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium 2019, 'Bipolar multiplex families have an increased burden of common risk variants for psychiatric disorders', Molecular Psychiatry. https://doi.org/10.1038/s41380-019-0558-2
  20. 2018
  21. Major Depressive Disorder and Bipolar Disorder Working Groups of the Psychiatric Genomics Consortium 2018, 'Applying polygenic risk scoring for psychiatric disorders to a large family with bipolar disorder and major depressive disorder', Communications Biology, vol. 1, no. 1, 163. https://doi.org/10.1038/s42003-018-0155-y
  22. Ren, H, Fabbri, C, Uher, R, Rietschel, M, Mors, O, Henigsberg, N, Hauser, J, Zobel, A, Maier, W, Dernovsek, MZ, Souery, D, Cattaneo, A, Breen, G, Craig, IW, Farmer, AE, McGuffin, P, Lewis, CM & Aitchison, KJ 2018, 'Genes associated with anhedonia: a new analysis in a large clinical trial (GENDEP)', Translational psychiatry, vol. 8, no. 1, 150. https://doi.org/10.1038/s41398-018-0198-3
  23. Inkster, B, Simmons, A, Cole, JH, Schoof, E, Linding, R, Nichols, T, Muglia, P, Holsboer, F, Sämann, PG, McGuffin, P, Fu, CHY, Miskowiak, K, Matthews, PM, Zai, G & Nicodemus, K 2018, 'Unravelling the GSK3β-related genotypic interaction network influencing hippocampal volume in recurrent major depressive disorder', Psychiatric Genetics, vol. 28, no. 5, pp. 77-84. https://doi.org/10.1097/YPG.0000000000000203
  24. Gouareb, R, Friderikos, V & Aghvami, AH 2018, Delay Sensitive Virtual Network Function Placement and Routing. in 2018 25th International Conference on Telecommunications, ICT 2018., 8464883, Institute of Electrical and Electronics Engineers Inc., pp. 394-398, 25th International Conference on Telecommunications, ICT 2018, Saint Malo, France, 26/06/2018. https://doi.org/10.1109/ICT.2018.8464883
  25. Blaise, A, Wong, S & Aghvami, AH 2018, Virtual Network Function Service Chaining Anomaly Detection. in 2018 25th International Conference on Telecommunications, ICT 2018., 8464860, Institute of Electrical and Electronics Engineers Inc., pp. 411-415, 25th International Conference on Telecommunications, ICT 2018, Saint Malo, France, 26/06/2018. https://doi.org/10.1109/ICT.2018.8464860
  26. Fabbri, C, Tansey, KE, Perlis, RH, Hauser, J, Henigsberg, N, Maier, W, Mors, O, Placentino, A, Rietschel, M, Souery, D, Breen, G, Curtis, C, Lee, S-H, Newhouse, S, Patel, H, O'Donovan, M, Lewis, G, Jenkins, G, Weinshilboum, RM, Farmer, A, Aitchison, KJ, Craig, I, McGuffin, P, Schruers, K, Biernacka, JM, Uher, R & Lewis, CM 2018, 'Effect of cytochrome CYP2C19 metabolizing activity on antidepressant response and side effects: Meta-analysis of data from genome-wide association studies', European Neuropsychopharmacology. https://doi.org/10.1016/j.euroneuro.2018.05.009
  27. Fabbri, C, Tansey, K, Perlis, R, Hauser, J, Henigsberg, N, Maier, W, Mors, O, Placentino, A, Rietschel, M, Souery, D, Breen, G, Curtis, C, Sang-Hyuk, L, Newhouse, S, Patel, H, Guipponi, M, Perroud, N, Bondolfi, G, O'Donovan, M, Lewis, G, Biernacka, J, Weinshilboum, R, Farmer, A, Aitchison, K, Craig, I, McGuffin, P, Uher, R & Lewis, C 2018, 'New insights on the pharmacogenomics of antidepressant response from the GENDEP and STAR*D studies: rare variant analysis and high-density imputation', The pharmacogenomics journal, vol. 18, pp. 413-421.
  28. The Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Wray, NR, Ripke, S, Mattheisen, M, Trzaskowski, M, Byrne, EM, Abdellaoui, A, Adams, MJ, Agerbo, E, Air, TM, Andlauer, TMF, Bacanu, S-A, Bækvad-Hansen, M, Beekman, AFT, Bigdeli, TB, Binder, EB, Blackwood, DRH, Bryois, J, Buttenschøn, HN, Bybjerg-Grauholm, J, Cai, N, Castelao, E, Christensen, JH, Clarke, T, Coleman, JIR, Colodro-Conde, L, Couvy-Duchesne, B, Craddock, N, Crawford, GE, Crowley, CA, Dashti, HS, Davies, G, Deary, IJ, Degenhardt, F, Derks, EM, Direk, N, Eley, TC, Gaspar, HA, Hansen, TF, Li, Y, Mcguffin, P, Mill, J, Mullins, N, Purcell, SM, Riley, BP, Smith, DJ, Tansey, KE, Traylor, M, Uher, R, Lewis, CM, Breen, G & O'Reilly, PF 2018, 'Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression', Nature Genetics, vol. 50, no. 5, pp. 668-681. https://doi.org/10.1038/s41588-018-0090-3
  29. Alsobhi, W & Aghvami, A-H 2018, Dynamic Resource Allocation and Rate Coverage Analysis of Two-tier HetNet with Cognitive femtocell. in WCNC: IEEE Wireless Communications and Networking Conference 2018, Barcelona, Spain. IEEE Communications Society.
  30. Ciolino, S, Ghavami, M & Aghvami, AH 2018, Generation of wavelet packets for use in ultra wideband communication systems. in 2004 International Waveform Diversity and Design Conference, WDD 2004 - Proceedings. vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 1-5, 1st International Waveform Diversity and Design Conference, WDD 2004, Edinburgh, United Kingdom, 8/11/2004. https://doi.org/10.1109/IWDDC.2004.8317540
  31. Babaei, A, Aghvami, AH, Shojaeifard, A & Wong, K-K 2018, Full-Duplex MIMO Small-Cells: Secrecy Capacity Analysis. in Vehicular Technology Conference: VTC2018-Spring.
  32. 2017
  33. Fabbri, C, Tansey, KE, Perlis, RH, Hauser, J, Henigsberg, N, Maier, W, Mors, O, Placentino, A, Rietschel, M, Souery, D, Breen, G, Curtis, C, Sang-Hyuk, L, Newhouse, S, Patel, H, Guipponi, M, Perroud, N, Bondolfi, G, O'Donovan, M, Lewis, G, Biernacka, JM, Weinshilboum, RM, Farmer, A, Aitchison, KJ, Craig, I, McGuffin, P, Uher, R & Lewis, CM 2017, 'New insights into the pharmacogenomics of antidepressant response from the GENDEP and STAR*D studies: rare variant analysis and high-density imputation', The pharmacogenomics journal. https://doi.org/10.1038/tpj.2017.44
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