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Research Outputs

  1. 2020
  2. Howard, D, Folkersen, L, Coleman, J, Adams, M, Glanville, K, Werge, T, Hagenaars, S, Han, B, Porteous, D, Campbell, A, Clarke, T-K, Breen, G, Sullivan, PF, Wray, NR, Lewis, C & McIntosh, A 2020, 'Genetic stratification of depression in UK Biobank', Translational psychiatry.
  3. 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
  4. Fabbri, C, Kasper, S, Kautzky, A, Zohar, J, Souery, D, Montgomery, S, Albani, D, Forloni, G, Ferentinos, P, Rujescu, D, Mendlewicz, J, Uher, R, Lewis, CM & Serretti, A 2020, 'A polygenic predictor of treatment-resistant depression using whole exome sequencing and genome-wide genotyping', Translational psychiatry, vol. 10, no. 1, 50. https://doi.org/10.1038/s41398-020-0738-5
  5. 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
  6. 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.
  7. 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).
  8. 2019
  9. Paul, R, Andlauer, TFM, Czamara, D, Hoehn, D, Lucae, S, Pütz, B, Lewis, CM, Uher, R, Müller-Myhsok, B, Ising, M & Sämann, PG 2019, 'Treatment response classes in major depressive disorder identified by model-based clustering and validated by clinical prediction models', Translational psychiatry, vol. 9, no. 1, 187. https://doi.org/10.1038/s41398-019-0524-4
  10. 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
  11. 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
  12. 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).
  13. Maybury, CM, Porter, HF, Kloczko, E, Duckworth, M, Cotton, A, Thornberry, K, Dew, T, Crook, M, Natas, S, Miquel, R, Lewis, CM, Wong, T, Smith, CH & Barker, JN 2019, 'Prevalence of Advanced Liver Fibrosis in Patients With Severe Psoriasis', JAMA dermatology, vol. 155, no. 9, pp. 1028-1032. https://doi.org/10.1001/jamadermatol.2019.0721
  14. 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
  15. Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Bipolar Disorder Working Group of the Psychiatric Genomics Consortium, Schizophrenia Working Group of the Psychiatric Genomics Consortium, Mullins, N, Bigdeli, TB, Børglum, AD, Coleman, JRI, Demontis, D, Mehta, D, Power, RA, Ripke, S, Stahl, EA, Starnawska, A, Anjorin, A, Corvin, A, Sanders, AR, Forstner, AJ, Reif, A, Koller, AC, Świątkowska, B, Baune, BT, Müller-Myhsok, B, Penninx, BWJH, Pato, CN, Zai, CC, Rujescu, D, Hougaard, DM, Quested, D, Levinson, DF, Binder, EB, Byrne, EM, Agerbo, E, Streit, F, Mayoral, F, Bellivier, F, Degenhardt, F, Breen, GD, Morken, G, Turecki, G, Rouleau, G, Grabe, HJ, Volzke, H, Jones, I, Giegling, I, Agartz, I, Melle, I, Lawrence, J, Walters, JTR, Strohmaier, J, Shi, J, Hauser, J, Biernacka, JM, Vincent, JB, Kelsoe, J, Strauss, JS, Lissowska, J, Pimm, J, Smoller, JW, Guzman-Parra, J, Berger, K, Scott, LJ, Jones, LA, Azevedo, MH, Trzaskowski, M, Kogevinas, M, Rietschel, M, Boks, MP, Ising, M, Grigoroiu-Serbanescu, M, Hamshere, ML, Leboyer, M, Frye, MA, Alda, M, Nordentoft, M, Boehnke, M, O'Donovan, MC, Owen, MJ, Pato, MT, Renteria, ME, Wray, NR, Bass, N, Craddock, N, Smeland, OB, Andreassen, OA, Mors, O, Gejman, PV, Sklar, P, McGrath, PJ, Hoffmann, P, McGuffin, P, Lee, PH, Mortensen, PB, Kahn, RS, Ophoff, RA, Adolfsson, R, Van der Auwera Affiliations, S, Djurovic, S, Kloiber, S, Heilmann-Heimbach, S, Jamain, S, Hamilton, SP, Mcelroy, SL, Lucae, S, Cichon, S, Schulze, TG, Hansen, T, Werge, T, Air, TM, Nimgaonkar, V, Appadurai, V, Cahn, W, Milaneschi, Y, Fanous, AH, Kendler, KS, McQuillin, A & Lewis, CM 2019, 'Genome-wide association study of suicide attempt in psychiatric disorders identifies association with major depression polygenic risk scores', The American Journal of Psychiatry, vol. 176, no. 8, pp. 651-660. https://doi.org/10.1176/appi.ajp.2019.18080957
  16. 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
  17. 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
  18. Tyrrell, J, Mulugeta, A, Wood, AR, Zhou, A, Beaumont, RN, Tuke, MA, Jones, SE, Ruth, KS, Yaghootkar, H, Sharp, S, Thompson, WD, Ji, Y, Harrison, J, Freathy, RM, Murray, A, Weedon, MN, Lewis, C, Frayling, TM & Hyppönen, E 2019, 'Using genetics to understand the causal influence of higher BMI on depression', International Journal of Epidemiology, vol. 48, no. 3, pp. 834-848. https://doi.org/10.1093/ije/dyy223
  19. Polimanti, R, Peterson, RE, Ong, JS, MacGregor, S, Edwards, AC, Clarke, TK, Frank, J, Gerring, Z, Gillespie, NA, Lind, PA, Maes, HH, Martin, NG, Mbarek, H, Medland, SE, Streit, F, Agrawal, A, Edenberg, HJ, Kendler, KS, Lewis, CM, Sullivan, PF, Wray, NR, Gelernter, J & Derks, EM 2019, 'Evidence of causal effect of major depression on alcohol dependence: Findings from the psychiatric genomics consortium', Psychological Medicine, vol. 49, no. 7, pp. 1218-1226. https://doi.org/10.1017/S0033291719000667
  20. EU-GEI WP2 Group, Di Forti, M, Quattrone, D, Freeman, TP, Tripoli, G, Gayer-Anderson, C, Quigley, H, Rodriguez, V, Jongsma, HE, Ferraro, L, La Cascia, C, La Barbera, D, Tarricone, I, Berardi, D, Szöke, A, Arango, C, Tortelli, A, Velthorst, E, Bernardo, M, Del-Ben, CM, Menezes, PR, Selten, JP, Jones, PB, Kirkbride, JB, Rutten, BPF, de Haan, L, Sham, PC, van Os, J, Lewis, CM, Lynskey, M, Morgan, C, Murray, RM, Amoretti, S, Arrojo, M, Baudin, G, Beards, S, Bernardo, M, Bobes, J, Bonetto, C, Cabrera, B, Carracedo, A, Charpeaud, T, Costas, J, Cristofalo, D, Cuadrado, P, Díaz-Caneja, CM, Ferchiou, A, Franke, N, Frijda, F, Hubbard, K & Stilo, SA 2019, 'The contribution of cannabis use to variation in the incidence of psychotic disorder across Europe (EU-GEI): a multicentre case-control study', The Lancet Psychiatry, vol. 6, no. 5, pp. 427-436. https://doi.org/10.1016/S2215-0366(19)30048-3
  21. 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
  22. 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
  23. Chen, WC, Bye, H, Matejcic, M, Amar, A, Govender, D, Khew, YW, Beynon, V, Kerr, R, Singh, E, Prescott, NJ, Lewis, CM, Babb de Villiers, C, Parker, MI & Mathew, CG 2019, 'Association of genetic variants in CHEK2 with oesophageal squamous cell carcinoma in the South African Black population', Carcinogenesis, vol. 40, no. 4, bgz026, pp. 513-520. https://doi.org/10.1093/carcin/bgz026
  24. Howard, DM, Adams, MJ, Clarke, T, Hafferty, JD, Gibson, J, Shirali, M, Coleman, JRI, Hagenaars, SP, Ward, J, Wigmore, EM, Alloza, C, Shen, X, Barbu, MC, Xu, EY, Whalley, HC, Marioni, RE, Porteous, DJ, Davies, G, Deary, IJ, Hemani, G, Berger, K, Teismann, H, Rawal, R, Arolt, V, Baune, BT, Dannlowski, U, Domschke, K, Tian, C, Hinds, DA, Trzaskowski, M, Byrne, EM, Ripke, S, Smith, DJ, Sullivan, PF, Wray, NR, Breen, G, Lewis, CM & Mcintosh, AM 2019, 'Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions', Nature Neuroscience, vol. 22, no. 3, pp. 343-352. https://doi.org/10.1038/s41593-018-0326-7
  25. 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
  26. Wigmore, EM, Hafferty, JD, Hall, LS, Howard, DM, Clarke, T-K, Fabbri, C, Lewis, CM, Uher, R, Navrady, LB, Adams, MJ, Zeng, Y, Campbell, A, Gibson, J, Thomson, PA, Hayward, C, Smith, BH, Hocking, LJ, Padmanabhan, S, Deary, IJ, Porteous, DJ, Mors, O, Mattheisen, M, Nicodemus, KK & McIntosh, AM 2019, 'Genome-wide association study of antidepressant treatment resistance in a population-based cohort using health service prescription data and meta-analysis with GENDEP', The pharmacogenomics journal. https://doi.org/10.1038/s41397-019-0067-3
  27. 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
  28. Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium 2019, 'Cannabis use, depression and self-harm: phenotypic and genetic relationships', Addiction. https://doi.org/10.1111/add.14845
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