TY  - JOUR
A1  - Mitchell, Jonathan S.
A1  - Li, Ni
A1  - Weinhold, Niels
A1  - Försti, Asta
A1  - Ali, Mina
A1  - van Duin, Mark
A1  - Thorleifsson, Gudmar
A1  - Johnson, David C.
A1  - Chen, Bowang
A1  - Halvarsson, Britt-Marie
A1  - Gudbjartsson, Daniel F.
A1  - Kuiper, Rowan
A1  - Stephens, Owen W.
A1  - Bertsch, Uta
A1  - Broderick, Peter
A1  - Campo, Chiara
A1  - Einsele, Hermann
A1  - Gregory, Walter A.
A1  - Gullberg, Urban
A1  - Henrion, Marc
A1  - Hillengass, Jens
A1  - Hoffmann, Per
A1  - Jackson, Graham H.
A1  - Johnsson, Ellinor
A1  - Jöud, Magnus
A1  - Kristinsson, Sigurdur Y.
A1  - Lenhoff, Stig
A1  - Lenive, Oleg
A1  - Mellqvist, Ulf-Henrik
A1  - Migliorini, Gabriele
A1  - Nahi, Hareth
A1  - Nelander, Sven
A1  - Nickel, Jolanta
A1  - Nöthen, Markus M.
A1  - Rafnar, Thorunn
A1  - Ross, Fiona M.
A1  - da Silva Filho, Miguel Inacio
A1  - Swaminathan, Bhairavi
A1  - Thomsen, Hauke
A1  - Turesson, Ingemar
A1  - Vangsted, Annette
A1  - Vogel, Ulla
A1  - Waage, Anders
A1  - Walker, Brian A.
A1  - Wihlborg, Anna-Karin
A1  - Broyl, Annemiek
A1  - Davies, Faith E.
A1  - Thorsteinsdottir, Unnur
A1  - Langer, Christian
A1  - Hansson, Markus
A1  - Kaiser, Martin
A1  - Sonneveld, Pieter
A1  - Stefansson, Kari
A1  - Morgan, Gareth J.
A1  - Goldschmidt, Hartmut
A1  - Hemminki, Kari
A1  - Nilsson, Björn
A1  - Houlston, Richard S.
T1  - Genome-wide association study identifies multiple susceptibility loci for multiple myeloma
JF  - Nature Communications
N2  - Multiple myeloma (MM) is a plasma cell malignancy with a significant heritable basis. Genome-wide association studies have transformed our understanding of MM predisposition, but individual studies have had limited power to discover risk loci. Here we perform a meta-analysis of these GWAS, add a new GWAS and perform replication analyses resulting in 9,866 cases and 239,188 controls. We confirm all nine known risk loci and discover eight new loci at 6p22.3 (rs34229995, P=1.31 × 10−8), 6q21 (rs9372120, P=9.09 × 10−15), 7q36.1 (rs7781265, P=9.71 × 10−9), 8q24.21 (rs1948915, P=4.20 × 10−11), 9p21.3 (rs2811710, P=1.72 × 10−13), 10p12.1 (rs2790457, P=1.77 × 10−8), 16q23.1 (rs7193541, P=5.00 × 10−12) and 20q13.13 (rs6066835, P=1.36 × 10−13), which localize in or near to JARID2, ATG5, SMARCD3, CCAT1, CDKN2A, WAC, RFWD3 and PREX1. These findings provide additional support for a polygenic model of MM and insight into the biological basis of tumour development.
KW  - Cancer genetics
KW  - Genome-wide association studies
KW  - Myeloma
Y1  - 2016
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-165983
VL  - 7
ER  - 
TY  - CHAP
A1  - Davies, Richard
A1  - Dewell, Nathan
A1  - Harvey, Carlo
T1  - A framework for interactive, autonomous and semantic dialogue generation in games
T2  - Proceedings of the 1st Games Technology Summit
N2  - Immersive virtual environments provide users with the opportunity to escape from the real world, but scripted dialogues can disrupt the presence within the world the user is trying to escape within. Both Non-Playable Character (NPC) to Player and NPC to NPC dialogue can be non-natural and the reliance on responding with pre-defined dialogue does not always meet the players emotional expectations or provide responses appropriate to the given context or world states. This paper investigates the application of Artificial Intelligence (AI) and Natural Language Processing to generate dynamic human-like responses within a themed virtual world. Each thematic has been analysed against humangenerated responses for the same seed and demonstrates invariance of rating across a range of model sizes, but shows an effect of theme and the size of the corpus used for fine-tuning the context for the game world.
KW  - natural language processing ·  ·  ·
KW  - interactive authoring system
KW  - semantic understanding
KW  - artificial intelligence
Y1  - 2021
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-246023
ER  -